Skip to Main Content
Skip Nav Destination
Purpose

Employees' environmentally sustainable work behavior is a critical enabler of organizational sustainable development. While prior research has primarily focused on either organizational motivators or individual attributes influencing sustainable work behavior, this study integrates these perspectives to provide a more nuanced and holistic understanding. Drawing on values–attitudes–behavior and situational strength theories, we examine how employees' personal values and attitudes interact with sustainable performance management to facilitate environmentally sustainable behavior at work.

Design/methodology/approach

This study employed the data collection agency, Dynata, to source survey data from a sample of 374 employees in Aotearoa/New Zealand's private sector. We used partial least squares structural equation modeling to test our hypotheses.

Findings

The results indicate that the relationship between employees' self-transcendence values and environmentally sustainable work behavior is mediated by innovative work attitudes. Moreover, sustainable performance management significantly moderates the relationship between self-transcendence values and innovative work attitudes and the relationship between innovative work attitudes and environmentally sustainable work behavior, respectively.

Practical implications

This study equips managers with actionable insights to balance the competing demands of a sustainability agenda and provides concrete guidance for organizational practice. It explains the hierarchical link between employees' values, attitudes and behaviors and demonstrates how managers can utilize performance management to strengthen these relationships in day-to-day operations.

Originality/value

This study advances sustainability research by integrating organizational and personal determinants to support urgent climate-action through practical engagement pathways. We extend the value–attitude–behavior framework to the workplace, emphasizing its relevance to HRM. By identifying how innovative work attitudes mediate the relationship between self-transcendence values and environmentally sustainable work behavior, we reveal a clear pathway from values to sustainable behavior. This interactional view not only deepens our understanding of both HRM and work behavior, but by aligning sustainable HRM with pluralist ideals, HRM is framed as an enabler of positive attitudes and intrinsic motivation rather than their subjugator.

The urgency of climate change (IPCC, 2023) highlights the need for strong organizational commitment to sustainability (McKinsey, 2023, 2024; Paillé, 2024). While research suggests that organizations can advance environmental protection by encouraging employees to engage with this agenda (Zaidi and Azmi, 2024), practice shows that many organizations struggle to translate sustainability objectives into tangible outcomes (World Economic Forum, 2024). This suggests managers need some clear guidance on how employees' personal motives can be translated into sustainability outcomes at work. Despite this issue's significance, limited knowledge about how managers can influence employees' engagement with sustainability exists (Amrutha and Geetha, 2020, 2021; Wagner et al., 2025).To address this gap for both theory and practice, our study tests a theory-driven model in which intrinsic values and workplace context jointly shape employees' sustainability behaviors at work.

The Theory of Planned Behavior (Ajzen, 1991) is often used to explain sustainable behavior at work (Zaidi and Azmi, 2024). However, this theory has been criticized for its narrow focus on cognitive factors and rational decision-making, which overlook non-cognitive determinants of sustainable behavior at work, which are also important (Sabbir and Taufique, 2022). Accordingly, we ground our study in Schwartz's established value theorizing (2012), which posits that self-transcendence values – such as concern for others and universalism – encourage actions that benefit the broader social good. Moreover, we argue that these values achieve this end by shaping employees' innovative work attitudes, which in turn support their engagement in environmentally sustainable work behavior. This theoretical stance is informed by value–attitude–behavior frameworks (see Homer and Kahle, 1988; Nazirova and Borbala, 2024) that connect intrinsic motivation to cognitive and behavioral outcomes through value and attitudinal processes. Cognizant that examining personality traits in a vacuum oversimplifies their role in work behavior (Nazirova and Borbala, 2024; Mischel, 1999), we afford sensitivity to situation (Bardi and Schwartz, 2003) by drawing on situational strength theory (Meyer et al., 2010; Alam et al., 2025) to investigate how employees' values, attitudes and behavior interact with their experiences of performance management.

By integrating Schwartz's value framework (2012) with an attitudinal mediator (innovative work attitudes) and a behavioral outcome (environmentally sustainable work behavior) within a workplace setting, we advance the value–attitude–behavior literature in the HRM context (Cheung and To, 2019; Sadiq et al., 2022; Rahman and Reynolds, 2019). In examining moderation by performance management, the study contributes to sustainable HRM by clarifying how organizations can harness employees' intrinsic motivations to better predict environmentally sustainable work behavior. Together, these mediator and moderator relationships illuminate practical levers for managers by showing that cultivating innovative work attitudes and fostering value alignment enhances employees' environmentally sustainable work behavior.

Our study is conducted in the Aotearoa/New Zealand context, where biculturalism and a progressive regulatory framework shape workplace norms and workforce values, attitudes and behaviors toward sustainability. Consequently, findings reflect a sustainability-rich environment and will be directly relevant to organizations, policymakers and communities seeking to align values with inclusive, sustainable workplace practices. We begin our paper with an overview of the theoretical background, followed by the development of hypotheses and the explanation of the conceptual model. The methodological approach is then described, after which results are reported and discussed, with their implications for theory and practice highlighted. Finally, limitations are presented and directions for future research are provided.

Environmentally sustainable work behavior (ESWB) (sometimes referred to as “pro-environmental” or “green” behavior) is defined as workplace behaviors which aim to cause minimal harm and, in some cases, even produce benefits for the environment (Steg and Vlek, 2009). These behaviors are usually focused on the conservation of water, waste, energy and the like. In our study, ESWB involves employees' actions that positively impact environmental conditions (Stern, 2000; Blok et al., 2015) and employees can engage in ESWB by performing environmentally friendly tasks (task-related ESWB) or by proactively promoting environmental initiatives beyond their duties (proactive ESWB) (Bissing-Olson et al., 2013).

It is widely recognized that employee behavior supports organizational goals (Edgar et al., 2024), with sustainability research similarly finding ESWB is vital for an organization's sustainability agenda (Amrutha and Geetha, 2020, 2021). ESWB supports this agenda by enhancing the organization's environmental performance (Paillé, 2024) and by reducing the environmental impacts of the organization's operations (Rubel et al., 2021).

Personal values and motivations play a key role in fostering behavior (Arieli et al., 2020), including ESWB (Ahmad et al., 2020; Delmas and Pekovic, 2018). Defined as “prioritized, trans-situational, and guiding beliefs that individuals hold about desired end states or behaviors” (Schleicher et al., 2011, p. 140), personal values are relatively stable, with their broad trans-situational nature shaping decision-making and behavior (Bardi and Schwartz, 2003) across multiple domains, including the workplace (Arieli et al., 2020). Social Adaptation theory (Kahle, 1983) posits that values guide how employees enter and adapt to work situations by helping them integrate into the work environment (Homer and Kahle, 1988) and by shaping their choices, motivations and behaviors, which can benefit or harm others (Sagiv and Schwartz, 2022). Although it remains uncertain which values most strongly predict ESWB (Jacobs et al., 2018), many scholars regard self-transcendence values (STV) as among the most influential. STV emphasize concern for others and awareness of environmental consequences (Chan, 2020) across a range of contexts, ranging from tourism (Ahmad et al., 2020; Raza and Farrukh, 2023) to consumerism (Muralidharan and Sheehan, 2017; Zhao and Huang, 2024). Given STV reflect concern for environmental and community well-being, are universal personal values that are stable and widely recognized across cultures (Schwartz and Bardi, 2001) and, consequently, have trans-situational qualities (Connor and Becker, 1994). These comprise the value set examined in this study.

However, values are inherently abstract constructs, with their influence on behavior typically indirect (Bardi and Schwartz, 2003; de Groot and Thøgersen, 2018). This suggests the presence of mechanisms that mediate the relationship between values and behavior (Schleicher et al., 2011).

Social exchange theory (Blau, 1964) suggests organizational performance relies on employer–employee relationships that are underpinned by norms of reciprocity. Thus, when employees perceive organizational actions as beneficial, they respond with positive attitudes that boost motivation and lead to greater effort (Melián-González, 2016). This implies employees' attitudes towards work are integrally tied to their performance.

In contemporary organizations, innovation has superseded prescribed ways of doing things, making the ability to innovate a key driver of success (Farida and Setiawan, 2022). Innovation is widely regarded as a foundation of competitive advantage, with a growing body of literature linking it not only to organizational performance but also to sustainable development and the achievement of SDGs (Awan et al., 2019; Vatananan Thesenvitz et al., 2019). An organization's ability to innovate depends on individual creativity and motivation to innovate (Amabile and Pratt, 2016).This means that positive attitudes toward innovation are now considered highly desirable employee traits. Research highlights an important role innovation champions play in sustainability-related projects (Hassan, 2024). In this regard, employees' innovative work attitudes (IWA) become critical. IWA refer to employees' favorable predispositions toward novelty and change in the work context, including openness to new ideas, willingness to take constructive risks and a proactive stance toward generating and supporting innovations (Amabile and Pratt, 2016). Because these attitudes serve as a driver for innovation, helping create and sustain innovative performance via idea generation, championing and implementation (Janssen, 2000), they are desirable, if not requisite, to priming employees to engage effectively with novel organizational agendas such as that implied by sustainability.

Employees' ESWB is shaped by a complex interplay of personal and situational factors (Meyer et al., 2010; Steg and Vlek, 2009). While this dual influence is widely acknowledged in psychology literature, management research has tended to examine these factors in isolation, meaning the dynamic interplay that occurs between personality and organizational contexts is largely unexamined (Meyer et al., 2010). This oversight is significant because while human capital is recognized as a vital organizational resource, its full potential is only realized through complex systems such as those embedded in HRM (Ployhart, 2021). Accordingly, improving understanding about how elements within the HRM system effectively translate employees' personal dispositions into behaviors (McDonald, 2014) is an important objective.

Not all HRM functions impact behavior equally (Jiang et al., 2012); however, with performance management is generally recognized as a function that does (Pulakos et al., 2019). When promoting employees' ESWB more specifically, it is the organization's effective implementation of sustainable performance management (SPM) initiatives that is thought to have the most influence (Sumiati et al., 2025). SPM sits within the sustainability-oriented variant of HRM and comprises policies and practices that motivate employees to engage in ESWB by highlighting the organization's commitment to social responsibility and ethical decision-making and communicating the consequences of this behavioral engagement.

It is widely recognized that employee behavior is shaped by both personal and environmental factors (Meyer et al., 2010). So, when examining more specific outcomes (such as ESWB), consideration of both elements is required. Accordingly, the formulation of this study's hypotheses reflects that nuance.

3.1.1 Self-transcendence values and environmentally sustainable work behavior

Schwartz's theory of basic human values (2012) posits that personal values are stable and enduring characteristics that are underpinned by motivation and, in turn, influence behavior. Values function as motivational goals that individuals regard as important and/or desirable, guiding thoughts, attitudes and decision-making processes (Sagiv et al., 2017). Because values embody a motivational component, they are closely linked to behavioral outcomes, with motivation serving as a key driver of human action (Schwartz, 2012; Cieciuch, 2017). The broader link between personal values and behavior is well established (Bardi and Schwartz, 2003). By contrast, it is less clear how specific values map onto specific behaviors such as ESWB (Rahman and Reynolds, 2019).

What we do know is that dominant value structures impact how we behave towards others (Sagiv et al., 2017) and/or the environment (Steg et al., 2014), which means different values drive different types of behavior. STV are argued to be the most influential for sustainable behavior because they are rooted in universalism and benevolence, reflect concern for others, society and the environment and often entail personal sacrifice for the collective good (de Groot and Steg, 2008; Schwartz, 2012). Empirical work consistently links STV to environmentally conscious behaviors across contexts, including everyday life and work settings (see Nazirova and Borbala, 2024). Moreover, the various dimensions of STV – such as altruism, universalism and benevolence – show robust associations with pro-environmental actions across diverse domains, including tourism and consumer behavior (Ahmad et al., 2020; Cavagnaro et al., 2021; Raza and Farrukh, 2023). We accordingly predict that:

H1.

The extent to which employees hold STV will be directly related to their engagement in ESWB.

3.1.2 Self-transcendence values and innovative work attitudes

Value theories (Schwartz, 2012) imply a strong link between values and attitudes, suggesting that values motivate and guide personal attitudes because they serve as higher-order cognitive representations of human motivations and life orientations (Boer and Fischer, 2013). As this predictive relationship between values and attitudes is well established in the literature (e.g. Hlastec et al., 2023; Perrin et al., 2021), it is important to consider what specific attitudes stem from broader value structures (Boer and Fischer, 2013). We suggest one such attitude, IWA, is particularly relevant in contemporary workplaces where numerous studies highlight the critical role of innovation, creativity and openness to change to organizational performance (see Rousseau et al., 2016) with openness to change also being linked to sustainable behavior (see Markowitz et al., 2012; Liu, 2021).

Because IWA are characterized by creativity and openness to change, along with the promotion of diverse thinking, receptiveness to new ideas and adaptability in uncertain situations (Eastman et al., 2020; Mitchell and Walinga, 2017), we suggest that their development can be facilitated by STV. Indeed, by promoting cooperation, service to others and collective well-being (Maio, 2010), STV foster openness to new ideas for a broader purpose. This relationship is supported empirically with universalism (an STV facet) found to be positively connected with openness to experience (Sagiv and Schwartz, 2022).

Additionally, employees holding STV favor collaboration and mutual learning, and we see this disposition as one that likely supports and boosts employees' creativity and acceptance of novel approaches (Engelsberger et al., 2023). Taken together, we suggest that employees with STV are more likely to embrace diverse perspectives and seek collective benefits (Collins and Smith, 2006) and accordingly predict that:

H2.

The extent to which employees hold STV will be directly related to their IWA levels.

3.1.3 Mediation model: self-transcendence values, innovative work attitudes and environmentally sustainable work behavior

Thus far, we have argued that values are linked to needs and motivation. Values do not, however, rigidly determine specific behaviors; rather, the same value can be expressed in different ways (Cieciuch, 2017). Values are abstract, malleable personality traits (Homer and Kahle, 1988; Maio, 2010) that manifest through attitudes – positive or negative dispositions toward objects – which more directly drive behavior (Dreezens et al., 2008). We suggest values–attitudes–behavior (VAB) theory (Homer and Kahle, 1988) offers a useful framework for understanding these connections. VAB theory positions attitudes front and center in this relationship, positing that attitudes stem from personal values, unlike values, they are more specific and linked to the context in which one operates.

Comprising the components of affectivity (i.e., the feelings aroused by the subject), cognition (i.e., beliefs about the subject) and behavior (i.e., actions engendered by the subject), attitudes stem from them being both a predictor of behavior (e.g. job performance) and an outcome of values (Homer and Kahle, 1988). VAB theory suggests that values influence behavior through attitudes, which, because they are specific and contextualized, more effectively elicit targeted behaviors (Homer and Kahle, 1988). These relationships are supported by strong empirical evidence (Nazirova and Borbala, 2024). Thus, for individuals to act, personal values must be transformed into attitudes, and it is these attitudes that drive behavior. This same pattern applies to sustainable behavior. For example, Kim and Hall (2021) found tourist's attitudes mediated the relationship between their personal values and sustainability behavior. IWA, which are marked by creativity, adaptability and openness, are crucial for addressing sustainability challenges at work, because they enable employees to view complex issues as opportunities for improvement (Małecka et al., 2022). Moreover, innovation capability is identified as a key driver of sustainable performance (Gouda and Tiwari, 2022; Shahzad et al., 2023) in contemporary organizations, with employees' exhibition of IWA providing a crucial lynch pin which connects capability to outcomes. Here, employees' innovation capability – shaped by their attitudes toward risk, opportunity pursuit and curiosity (Ouedraogo et al., 2025) – enables them to act innovatively, manage uncertainty and contribute to enduring organizational performance. This notion is supported in prior research which links IWA to both employees' STV (Islam et al., 2024) and their ESWB (Małecka et al., 2022). Accordingly, our third hypothesis proposes that employees' IWA serve as a vital intermediary in the relationship between STV and their adoption of ESWB:

H3.

IWA will mediate the relationship between STV and employees' engagement in ESWB.

Situational strength theory (Meyer et al., 2010) treats the HRM system as a salient situational factor. The strength of the situation it creates therefore is a key determinant of how effectively employees' values and attitudes translate into the desired behavior. According to situational strength theory (Meyer et al., 2010) strong situations – characterized by clear expectations, consistent norms, constraints and well-defined consequences – tend to produce behavior aligned with specific values and attitudes more reliably than weak or ambiguous contexts (Alam et al., 2025). Organizations can leverage HRM elements to achieve this end. HRM systems help to establish, explicate and amplify goals and link targeted behaviors to meaningful outcomes. HRM system messaging also helps surface latent traits like innovativeness in the workplace (Sanders et al., 2018).

To develop our next hypotheses, we draw on situational strength theory (Meyer et al., 2010). In the work context, this theory posits that the organizational environment provides employees with cues – explicit or implicit – that inform them about the desirability of different behaviors. A strong situation is thought to place pressure on employees to conform and engage in certain behaviors, with this pressure thought to “reduce behavioral variance and attenuate subsequent trait-outcome relationships” (Meyer et al., 2010, p. 122). Our argument is that situational strength is a critical condition for translating STV into ESWB through an innovative attitude. Without strong situational cues, values may be expressed in divergent ways. For example, self-enhancement values can motivate individuals either to focus narrowly on personal gains or, alternatively, to pursue sustainable initiatives that enhance their legacy and social impact (Urien and Kilbourne, 2011). Moreover, as attitudes often show inconsistent links with behavior (Davis and Challenger, 2013), we suggest SPM plays a vital role in providing the situational strength needed to channel these values and attitudes toward behaviors that reliably advance ESWB.

3.2.1 Moderation model: self-transcendence values, innovative work attitudes and sustainable performance management

First, we suggest that when organizations signal that sustainability is salient and this signal resonates with employees who hold STV, they are prompted to engage positive attitudes toward innovation in the workplace. Further, where performance management is connected to employees' innovation (e.g., via rewards), this link can intensify employees' efforts to identify new opportunities and generate innovative ideas (Thneibat and Sweis, 2023; Thneibat, 2024). Thus, for employees who prioritize community and environmental values, SPM can foster favorable attitudes toward innovation and change, framing them as contributors to the common good. Based on this, we propose that where the SPM messaging is explicit, the STV-IWA connection is strengthened because the ethos of sustainability is both relevant and consistent with the employees' personal beliefs (Dreezens et al., 2008; Maio, 2010). Conversely, if the SPM messaging is weak, employees lack clear cues and this weakens the STV-IWA relationship, thereby reducing the likelihood that employees will see innovation as integral to sustainability goals (Bowen and Ostroff, 2004; Batistič et al., 2016). These relationships are depicted in the following hypothesis:

H4a.

SPM moderates the relationship between employees' STV and IWA, such that the relationship is stronger when SPM is high.

3.2.2 Moderation model: self-transcendence values, innovative work attitudes and sustainable performance management

Thus far, we have argued that attitudes play a significant role in influencing behavior, but it should be noted that their ability to drive substantial behavior changes in employees is variable (Davis and Challenger, 2013). This is likely attributable to organizational factors, such as HRM (Gansser and Reich, 2023) and leadership style (Islam et al., 2024), which have also been found to have a significant influence on employee behavior. In this way, we suggest SPM mitigates inconsistency by strengthening this relationship. It achieves this by shaping what Meyer et al. (2010) describe as a “strong situation” (p. 122), in which contextual cues explicitly signal appropriate behaviors and limit individual variability. Situations, as Alaybek et al. (2017) note, can create either barriers or opportunities for value-driven behavior to be expressed. For instance, openness to change is most likely to translate into creative behaviors when individuals receive positive feedback and face tasks with uncertain outcomes (George and Zhou, 2001). This suggests that particular conditions are needed for desirable results to emerge. Similarly, while an innovative attitude may encourage a wide range of innovative behaviors, SPM narrows and directs this potential by explicitly communicating the organizational desirability of ESWB. It does so by embedding sustainability-related objectives and tasks, integrating ESWB into performance assessments through KPIs and feedback, and making it a visible dimension of recognition (Shah et al., 2025). In this way, SPM clarifies expectations and constrains discretion in task prioritization. Moreover, through rewards, recognition and disciplinary mechanisms, SPM reinforces the consequences of engaging or failing to engage in behaviors aligned with ESWB.

Our argument aligns with viewing HRM as an antecedent to ESWB (Faisal, 2023). HRM supports employees in developing positive attitudes, intentions, abilities and cognitive schemas that foster engagement in ESWB (Paillé, 2024). It also reflects sustainable HRM's pluralist ideology (Van Buren, 2022), which recognizes that employees' intrinsic motivations shape their behavior (Zhao et al., 2021) and emphasizes HRM's role in enhancing – rather than subjugating – these motivations.

Accordingly, we propose that SPM helps translate IWA into employee ESWB by giving employees clear goals and direction, enabling them to align their efforts with the behaviors that are valued by their organization's sustainability agenda. Our final hypothesis, therefore, stipulates that:

H4b.

SPM moderates the relationship between employees' IWA and ESWB, such that the relationship is stronger when SPM is high.

These hypotheses are depicted in our study's conceptual model (see Figure 1 below).

Figure 1
A flowchart links self-transcendence values, work attitudes, sustainable performance, and sustainable work behavior.The flowchart starts with the first, second, and third text boxes arranged horizontally, connected by rightward arrows, and labeled from left to right as follows: “Self-transcendence values”, “Innovative work attitudes”, and “Environmentally sustainable work behavior”. The rightward arrow between “Self-transcendence values” and “Innovative work attitudes” is labeled “H 2”. A rightward arrow labeled “H 1” from “Self-transcendence values” leads to “Environmentally sustainable work behavior”. “Innovative work attitudes” is also labeled “H 3: Mediation”. A fourth text box above is labeled “Sustainable performance management”. A downward arrow labeled “H 4 a” from “Sustainable performance management” leads to “H 2”. Another downward arrow labeled “H 4 b” from “Sustainable performance management” leads to the arrow between “Innovative work attitudes” and “Environmentally sustainable work behavior”.

Conceptual model. Source: Authors' own work

Figure 1
A flowchart links self-transcendence values, work attitudes, sustainable performance, and sustainable work behavior.The flowchart starts with the first, second, and third text boxes arranged horizontally, connected by rightward arrows, and labeled from left to right as follows: “Self-transcendence values”, “Innovative work attitudes”, and “Environmentally sustainable work behavior”. The rightward arrow between “Self-transcendence values” and “Innovative work attitudes” is labeled “H 2”. A rightward arrow labeled “H 1” from “Self-transcendence values” leads to “Environmentally sustainable work behavior”. “Innovative work attitudes” is also labeled “H 3: Mediation”. A fourth text box above is labeled “Sustainable performance management”. A downward arrow labeled “H 4 a” from “Sustainable performance management” leads to “H 2”. Another downward arrow labeled “H 4 b” from “Sustainable performance management” leads to the arrow between “Innovative work attitudes” and “Environmentally sustainable work behavior”.

Conceptual model. Source: Authors' own work

Close modal

We collected data as part of a larger cross-cultural project on sustainable HRM, adding constructs like values, IWA and SWB to the questionnaire. The sample comprised New Zealand employees from small, medium and large private organizations. Known for its progressive legislation and open-minded, socially oriented citizens (McAndrew et al., 2018; Education New Zealand, 2023), New Zealand's blend of Māori and European cultural values – particularly Māori concepts like Kaitiakitanga – likely reinforce employees' sustainability values.

Participants were recruited through Dynata, a large online panel provider. The target population was full-time employees in New Zealand. To approximate population representativeness, Dynata implemented stratified quota sampling using Statistics New Zealand distributions as quota controls. The criteria targeted employees in private-sector organizations in Aotearoa/New Zealand with 10 or more employees, drawn from diverse industries (e.g., hospitality, manufacturing, service/retail, finance, IT, professional), with respondents selected to achieve a 50/50 gender split reflecting working-age population demographics.

Dynata distributed the survey in 2022 to 549 participants, with 374 valid responses. Participants worked in sectors including manufacturing (16%), hospitality/tourism (8%), retail (16%), finance (7%) and IT (16%), with organizational tenure ranging from less than 1 year (12%) to over 10 years (24%). Demographics showed 55% female; 7% under 25; 51% aged 25–44; 42% over 45 and education levels included 23% postgraduate, 48% tertiary, 18% secondary and 11% trades.

All key construct items were adopted from established scales in the literature and measured using 7-point Likert scales, ranging from 1 = “strongly disagree” to 7 = “strongly agree” (see Table 1 for the measurement model with factor loadings).

Table 1

Measurement model

WeightsFactor loading (L)
Environmentally sustainable work behavior (ESWB) (α 0.880; CR 0.912; AVE 0.675) 
I adequately complete assigned duties in environmentally friendly ways 0.233*** 0.830*** 
I fulfil responsibilities specified in my job description in environmentally friendly ways 0.253*** 0.826*** 
I perform tasks that are expected of me in environmentally friendly ways 0.224*** 0.828*** 
I take initiative to act in environmentally friendly ways at work 0.246*** 0.824*** 
I do more for the environment at work than I was expected to 0.261*** 0.800*** 
Self-transcendence values (STV) (α 0.826; CR 0.877; AVE 0.588) 
He/She thinks it is important that every person in the world should be treated equally. He/She believes everyone should have equal opportunities in life 0.222*** 0.777*** 
It is important to him/her to listen to people who are different from him/her. Even when he/she disagrees with them, he/she still wants to understand them 0.263*** 0.777*** 
It's very important to him/her to help the people around him/her. He/She wants to care for their well-being 0.262*** 0.809*** 
It is important to him/her to be loyal to his/her friends. He/She wants to devote himself/herself to people close to him/her 0.214*** 0.702*** 
He/She strongly believes that people should care for nature. Looking after the environment is important to him/her 0.342*** 0.763*** 
Innovative work attitudes (IWA) (α 0.783; CR 0.851; AVE 0.535) 
Thinking up new ideas and being creative is important to him/her. He/She likes to do things in his/her own original way 0.332*** 0.744*** 
It is important to him/her to make his/her own decisions about what he/she does. He/She likes to be free and not depend on others 0.242*** 0.661*** 
He/She likes surprises and is always looking for new things to do. He/She thinks it is important to do lots of different things in life 0.274*** 0.793*** 
He/She looks for adventures and likes to take risks. He/She wants to have an exciting life 0.223*** 0.706*** 
He/She seeks every chance he/she can to have fun. It is important to him/her to do things that give him/her pleasure 0.293*** 0.745*** 
Sustainable performance management (SPM) (α 0.897; CR 0.924; AVE 0.709) 
We tie individual performance reviews to sustainability performance 0.216*** 0.873*** 
We tie rewards and incentives to sustainability performance 0.235*** 0.883*** 
We enhance employee-employer relations to improve sustainability performance 0.239*** 0.855*** 
We link part of the compensation to employees' compliance with corporate social responsibility (CSR) goals 0.279*** 0.841*** 
We report on the performance of the company in economic, social, and environmental issues 0.220*** 0.750*** 
WeightsFactor loading (L)
Environmentally sustainable work behavior (ESWB) (α 0.880; CR 0.912; AVE 0.675) 
I adequately complete assigned duties in environmentally friendly ways 0.233*** 0.830*** 
I fulfil responsibilities specified in my job description in environmentally friendly ways 0.253*** 0.826*** 
I perform tasks that are expected of me in environmentally friendly ways 0.224*** 0.828*** 
I take initiative to act in environmentally friendly ways at work 0.246*** 0.824*** 
I do more for the environment at work than I was expected to 0.261*** 0.800*** 
Self-transcendence values (STV) (α 0.826; CR 0.877; AVE 0.588) 
He/She thinks it is important that every person in the world should be treated equally. He/She believes everyone should have equal opportunities in life 0.222*** 0.777*** 
It is important to him/her to listen to people who are different from him/her. Even when he/she disagrees with them, he/she still wants to understand them 0.263*** 0.777*** 
It's very important to him/her to help the people around him/her. He/She wants to care for their well-being 0.262*** 0.809*** 
It is important to him/her to be loyal to his/her friends. He/She wants to devote himself/herself to people close to him/her 0.214*** 0.702*** 
He/She strongly believes that people should care for nature. Looking after the environment is important to him/her 0.342*** 0.763*** 
Innovative work attitudes (IWA) (α 0.783; CR 0.851; AVE 0.535) 
Thinking up new ideas and being creative is important to him/her. He/She likes to do things in his/her own original way 0.332*** 0.744*** 
It is important to him/her to make his/her own decisions about what he/she does. He/She likes to be free and not depend on others 0.242*** 0.661*** 
He/She likes surprises and is always looking for new things to do. He/She thinks it is important to do lots of different things in life 0.274*** 0.793*** 
He/She looks for adventures and likes to take risks. He/She wants to have an exciting life 0.223*** 0.706*** 
He/She seeks every chance he/she can to have fun. It is important to him/her to do things that give him/her pleasure 0.293*** 0.745*** 
Sustainable performance management (SPM) (α 0.897; CR 0.924; AVE 0.709) 
We tie individual performance reviews to sustainability performance 0.216*** 0.873*** 
We tie rewards and incentives to sustainability performance 0.235*** 0.883*** 
We enhance employee-employer relations to improve sustainability performance 0.239*** 0.855*** 
We link part of the compensation to employees' compliance with corporate social responsibility (CSR) goals 0.279*** 0.841*** 
We report on the performance of the company in economic, social, and environmental issues 0.220*** 0.750*** 
DiscrepancyOverall model fit
ValueHI95Conclusion
SRMR 0.040 0.043 Supported 
dULS 0.518 0.609 Supported 
dG 0.205 0.233 Supported 
DiscrepancyOverall model fit
ValueHI95Conclusion
SRMR 0.040 0.043 Supported 
dULS 0.518 0.609 Supported 
dG 0.205 0.233 Supported 

Note(s): SRMR: Standardized root mean square residual; dULS: Unweighted least squares discrepancy; dG: Geodesic discrepancy; HI95: 95% quantiles of reference distribution. ***: p < 0.001, **: p < 0.01, *: p < 0.05, p < 0.10, n.s.: p > 0.10

Source(s): Authors' own work

Environmentally sustainable work behavior. Five items adopted from Bissing-Olson et al. (2013) were used to measure SWB engagement (α = 0.880).

Self-transcendence values. Self-transcendence values refer to individuals' striving to promote the welfare of others, ensure equality among groups and protect the natural environment. This was measured with five items developed by Schwartz (2012) (α = 0.826).

Innovative work attitudes. This reflects attitudes toward innovativeness, risk tolerance and openness to new knowledge and was measured using five items drawn from the innovation literature (see Chapman and Hewitt-Dundas, 2018; de Araújo Burcharth et al., 2014) (α = 0.783).

Sustainable performance management. Reflecting the achievement of sustainability performance, we measured this facet of HRM using five items adapted from the sustainability literature (see Asis-Castro and Edralin, 2018) (α = 0.897).

Control variables. Controls for employees' age, gender, tenure, educational level and firm size were included; all of which have been found to influence employee SWB (Sabbir and Taufique, 2022). Age was measured as follows: 1 = 18–24 years; 2 = 25–34 years, 3 = 35–44 years, 4 = 45–4 years, 5 = 55–64 years, 6 = 65 plus years. Gender was measured as a dummy (1 = male and 0 = female). Tenure was measured with 1 = under 1 year, 2 = 1–5 years, 3 = 6–10 years, 4 = 10 plus years. Highest educational attainment used 1 = tertiary, 2 = secondary, 3 = trades, 4 = postgraduate and firm size was measured with 1 = small, 2 = medium, 3 = large.

We employed partial least squares structural equation modeling (PLS-SEM) (Hair et al., 2020) to test our hypotheses. This is because PLS-SEM has become a key structural analysis approach that is frequently used in HRM studies (Ringle et al., 2020). More importantly, the main purpose of our study is to explore how STV integrate with IWA to affect ESWB. Compared to covariance-based structural equation modeling (CB-SEM), which focuses on explaining causal relationships (Hair et al., 2017), PLS-SEM aligns more with our research purpose as it is an exploratory and “prediction-orientated approach” (Hair et al., 2020; Schlittgen et al., 2016, p. 4583) that captures the maximum explained variance of the endogenous constructs. Moreover, our conceptual model consists of both mediation and moderation (interaction). PLS-SEM provides “more precise analysis of interaction effects” (Hock-Doepgen et al., 2025, p. 485). Additionally, given that our key constructs, including IWA and self-transcendence values, do not follow the normal distribution, PLS-SEM is more suitable for our data analysis as CB-SEM requires normal distribution of the data (Astrachan et al., 2014).

Following confirmatory composite analysis (Hair et al., 2020), we evaluated the significance of indicator loadings and weights. The results in Table 1 show that all indicator weights are strongly significant (p < 0.001) and 17 of 20 indicator loadings exceed the recommended cut-off of 0.708 (Hair et al., 2020), while three indicator loadings are above the acceptable threshold of 0.6. The results from the 5000-sample bootstrapping analysis also show that all indicator loadings are significant (p < 0.001), confirming the relevance of the measures. We also evaluated the overall model fit in terms of standardized root mean square residual (SRMR), unweighted least squares discrepancy (dULS) and geodesic discrepancy (dG) (Benitez et al., 2020) to examine the validity of the measurement. As shown in Table 1, the value of SRHRM of 0.040 is below the threshold of 0.080, and discrepancy measures of dULS = 0.518 < HI95 = 0.609 and dG = 0.205 < HI95 = 0.233 are below the 95% quantile of their corresponding reference distribution (HI95), providing evidence of good model fit.

We used Cronbach's alpha (α) and composite reliability (CR) to assess internal consistency reliability. As shown in Table 1, all values of α (min(α) = 0.783) and CR (min(CR) = 0.851) exceed the recommended cut-off of 0.7, indicating satisfactory internal consistency. Convergent validity was assessed using the average variance extracted (AVE), and the results in Table 1 indicate that all constructs have AVE values greater than 0.5 (min(AVE) = 0.535), demonstrating convergent validity (Fornell and Larcker, 1981).

Furthermore, the Fornell-Larcker criterion and the heterotrait-monotrait ratio of correlations (HTMT) were employed to assess discriminant validity (Fornell and Larcker, 1981). As shown in Table 2 and Table 3, the square root of each AVE is greater than the correlations of each construct with all other constructs, fulfilling Fornell–Larcker's criterion. Moreover, all HTMT ratios (max(HTMT) = 0.630) are below the threshold of 0.85 (Henseler et al., 2015), confirming discriminant validity.

Table 2

Fornell–Larcker criterion

123456789
1 ESWB 0.822         
2 STV 0.414 0.766        
3 IWA 0.389 0.530 0.731       
4 SPM 0.408 0.250 0.312 0.842      
5 Age −0.070 0.022 −0.120 −0.182     
6 Gender −0.040 0.054 −0.011 −0.060 −0.144    
7 Tenure 0.042 0.023 −0.060 −0.069 0.330 −0.176   
8 Education level −0.098 −0.005 −0.011 −0.090 0.032 −0.035 −0.018  
9 Firm size −0.081 −0.018 −0.005 −0.012 0.034 −0.14 0.064 0.084 
123456789
1 ESWB 0.822         
2 STV 0.414 0.766        
3 IWA 0.389 0.530 0.731       
4 SPM 0.408 0.250 0.312 0.842      
5 Age −0.070 0.022 −0.120 −0.182     
6 Gender −0.040 0.054 −0.011 −0.060 −0.144    
7 Tenure 0.042 0.023 −0.060 −0.069 0.330 −0.176   
8 Education level −0.098 −0.005 −0.011 −0.090 0.032 −0.035 −0.018  
9 Firm size −0.081 −0.018 −0.005 −0.012 0.034 −0.14 0.064 0.084 

Note(s): ESWB: Environmentally sustainable work behavior, STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management. Italic diagonal items represent the square root value of AVEs; others are latent variable correlations. Significant level: ***: p < 0.001, **: p < 0.01, *p < 0.05, : p < 0.10

Source(s): Authors' own work
Table 3

The heterotrait-monotrait ratios of constructs

123456789
1 ESWB          
2 STV 0.464         
3 IWA 0.462 0.630        
4 SPM 0.454 0.285 0.367       
5 Age 0.075 0.047 0.148 0.191      
6 Gender 0.048 0.071 0.063 0.065 0.144     
7 Tenure 0.050 0.026 0.067 0.071 0.330 0.176    
8 Education level 0.105 0.058 0.025 0.093 0.032 0.035 0.018   
9 Firm size 0.084 0.061 0.049 0.086 0.034 0.140 0.064 0.084  
123456789
1 ESWB          
2 STV 0.464         
3 IWA 0.462 0.630        
4 SPM 0.454 0.285 0.367       
5 Age 0.075 0.047 0.148 0.191      
6 Gender 0.048 0.071 0.063 0.065 0.144     
7 Tenure 0.050 0.026 0.067 0.071 0.330 0.176    
8 Education level 0.105 0.058 0.025 0.093 0.032 0.035 0.018   
9 Firm size 0.084 0.061 0.049 0.086 0.034 0.140 0.064 0.084  

Note(s): ESWB: Environmentally sustainable work behavior, STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management

Source(s): Authors' own work

We addressed common method bias (CMB) using procedural and statistical methods (Podsakoff et al., 2003). Procedurally, responses were anonymous, validated literature items measured key constructs, and questions for dependent, independent, mediator and moderator variables were separated and randomly ordered (Zobel, 2017). Statistically, a Harman one-factor test showed four factors with eigenvalues over 1, explaining 67.9% of covariance, with the most covariance by one factor at 33.4%. Additionally, a full collinearity test (Kock, 2015) revealed inner VIFs below 3.3 (max VIF = 1.992), indicating CMB is not a concern (Table 4).

Table 4

Full collinearity test

Inner variance inflation factors (VIF)
1235
1 ESWB  1.314 1.353 1.293 
2 STV 1.548  1.285 1.584 
3 IWA 1.921 1.213  1.517 
5 SPM 1.970 1.889 1.992  
Inner variance inflation factors (VIF)
1235
1 ESWB  1.314 1.353 1.293 
2 STV 1.548  1.285 1.584 
3 IWA 1.921 1.213  1.517 
5 SPM 1.970 1.889 1.992  

Note(s): ESWB: Environmentally sustainable work behavior, STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management

Source(s): Authors' own work

R2 was used to assess the predictive power of the structural model. The results for path coefficients reported in Table 5 demonstrate that the R2 values of both ESWB (R2 = 0.286, p < 0.001) and IWA (R2 = 0.357, p < 0.001) are higher than 0.20, indicating a reasonable predictive power (Hair et al., 2017). To ensure there were no issues with multicollinearity, VIFs and the maximum VIF is 3.332 below the cut-off threshold of 5 (Hair et al., 2017) were checked, with results suggesting multicollinearity is not a serious concern.

Table 5

Results of the path coefficients

Direct mode
Endogenous constructsAdjusted R2
ESWB 0.193*** 
Direct mode
Endogenous constructsAdjusted R2
ESWB 0.193*** 
PathCoefficientsSD.95% CIf2
LCIUCI
STV → SWB 0.425*** 0.043 0.344 0.514 0.226 
Control variables Included     
PathCoefficientsSD.95% CIf2
LCIUCI
STV → SWB 0.425*** 0.043 0.344 0.514 0.226 
Control variables Included     
Structural model
Adjusted R2
ESWB 0.286*** 
IWA 0.357*** 
Structural model
Adjusted R2
ESWB 0.286*** 
IWA 0.357*** 
PathCoefficientsSD.95% CIf2
LCIUCI
STV → IWA 0.494*** 0.040 0.417 0.572 0.335 
SPM → IWA 0.177*** 0.046 0.086 0.267 0.043 
STV × SPM → IWA 0.094* 0.039 0.015 0.169 0.014 
IWA → ESWB 0.167** 0.060 0.047 0.288 0.027 
SPM → ESWB 0.264*** 0.051 0.167 0.361 0.082 
IWA × SPM → ESWB 0.080 0.045 −0.009 0.167 0.010 
STV → ESWB 0.251*** 0.057 0.141 0.363 0.063 
Age → ESWB −0.028 0.048 −0.122 0.067 0.001 
Gender → ESWB −0.072 0.090 −0.245 0.101 0.002 
Tenure → ESWB 0.069 0.050 −0.029 0.169 0.006 
Education → ESWB −0.065 0.044 −0.150 0.022 0.006 
Firm size → ESWB −0.077 0.042 −0.160 0.005 0.008 
Indirect effects 
STV → IWA → ESWB 0.083** 0.031 0.023 0.146  
IMM 
STV × SPM → IWA → ESWB 0.016 0.009 0.002 0.035  
PathCoefficientsSD.95% CIf2
LCIUCI
STV → IWA 0.494*** 0.040 0.417 0.572 0.335 
SPM → IWA 0.177*** 0.046 0.086 0.267 0.043 
STV × SPM → IWA 0.094* 0.039 0.015 0.169 0.014 
IWA → ESWB 0.167** 0.060 0.047 0.288 0.027 
SPM → ESWB 0.264*** 0.051 0.167 0.361 0.082 
IWA × SPM → ESWB 0.080 0.045 −0.009 0.167 0.010 
STV → ESWB 0.251*** 0.057 0.141 0.363 0.063 
Age → ESWB −0.028 0.048 −0.122 0.067 0.001 
Gender → ESWB −0.072 0.090 −0.245 0.101 0.002 
Tenure → ESWB 0.069 0.050 −0.029 0.169 0.006 
Education → ESWB −0.065 0.044 −0.150 0.022 0.006 
Firm size → ESWB −0.077 0.042 −0.160 0.005 0.008 
Indirect effects 
STV → IWA → ESWB 0.083** 0.031 0.023 0.146  
IMM 
STV × SPM → IWA → ESWB 0.016 0.009 0.002 0.035  

Note(s): ESWB: Environmentally sustainable work behavior, STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management. SD.: standard deviation. CI: confidence interval; LCI: lower limit of confidence interval; UCI: upper limit of confidence interval; 95% UCI: upper limit of 95% confidence interval. Significant level: ***: p < 0.001, **: p < 0.01, *: p < 0.05, : p < 0.10, n.s.: p > 0.10

Source(s): Authors' own work

PLSpredict-based analysis (Shmueli et al., 2019) was also conducted to further assess the model's predictive power. The results in Table 6 show that all indicators have a Q2 value greater than 0. Additionally, six out of ten indicators have a root mean squared error (RMSE) in the PLS-SEM that is lower than in the linear regression model (LM). Together, these findings suggest that the model has satisfactory predictive power (Shmueli et al., 2019). In addition, to evaluate the model's predictive validity, we conducted the cross-validated predictive ability test (CVPAT) (Sharma et al., 2023). As shown in Table 6, the model has a significantly lower average loss in terms of the overall indicator averages (CVPAToverallbenchmark_IA: difference of average loss = −0.200, p < 0.001), while it has an insignificantly lower average loss in terms of overall linear model prediction benchmarks (CVPAToverallbenchmark_LM: difference of average loss = −0.007, p > 0.10). Together, our model fulfils minimum standards, demonstrating predictive validity (Sharma et al., 2023).

Table 6

PLS predict assessment

PLSLMPLS-LM
RMSEQ2_predictRMSERMSE
ESWB1 0.763 0.158 0.772 −0.009 
ESWB2 0.794 0.177 0.803 −0.009 
ESWB3 0.767 0.141 0.776 −0.009 
ESWB4 0.884 0.164 0.874 0.010 
ESWB5 0.943 0.180 0.933 0.010 
IWA1 1.097 0.272 1.089 0.008 
IWA2 1.073 0.181 1.087 −0.014 
IWA3 1.265 0.154 1.279 −0.014 
IWA4 1.350 0.078 1.340 0.010 
IWA5 1.113 0.158 1.126 −0.013 
PLSLMPLS-LM
RMSEQ2_predictRMSERMSE
ESWB1 0.763 0.158 0.772 −0.009 
ESWB2 0.794 0.177 0.803 −0.009 
ESWB3 0.767 0.141 0.776 −0.009 
ESWB4 0.884 0.164 0.874 0.010 
ESWB5 0.943 0.180 0.933 0.010 
IWA1 1.097 0.272 1.089 0.008 
IWA2 1.073 0.181 1.087 −0.014 
IWA3 1.265 0.154 1.279 −0.014 
IWA4 1.350 0.078 1.340 0.010 
IWA5 1.113 0.158 1.126 −0.013 
Cross-validated predictive ability test (CVPAT)
Average loss difference|t-value|
CVPAToverallbenchmark_IA −0.200*** 6.428 
CVPAToverallbenchmark_LM −0.007 0.616 
Cross-validated predictive ability test (CVPAT)
Average loss difference|t-value|
CVPAToverallbenchmark_IA −0.200*** 6.428 
CVPAToverallbenchmark_LM −0.007 0.616 

Note(s): ESWB: Environmentally sustainable work behavior, IWA: Innovative work attitudes. LM: linear regression model; RMSE: the root mean squared error; RMSE: the root mean squared error; IA: indicator averages; LM: linear model

Source(s): Authors' own work

We assessed the significance of path coefficients using 5,000 sub-sample bootstrapping. Hypothesis 1 predicts the positive relationship between self-transcendence values and ESWB. The results of the direct model in Table 5 demonstrate direct and significantly positive effects of self-transcendence values on ESWB (β = 0.425, p < 0.001) with an effect size of f2 = 0.226. According to Hair et al. (2017), we interpret f2 in terms of three thresholds: 0.02 (small), 0.15 (medium), and 0.35 (large). The results reflect a medium-to-large effect of self-transcendence (f2 = 0.226 > 0.15) on ESWB. Thus, Hypothesis 1 is supported.

Hypothesis 2 predicts that the extent to which employees hold STV will be directly related to their IWA levels. The results in Table 5 and Figure 2 show that STV is positively associated with IWA (β = 0.167, p < 0.01; f2 = 0.335 > 0.15), supporting Hypothesis 2.

Figure 2
A reflective path model shows nine latent variables with measured indicators and path coefficients between constructs.The nine latent variables are each represented by a circular node with the following labels: “S T V”, “S P M”, “I W A”, “E S W B”, “Size”, “Education”, “Tenure”, “Gender”, and “Age”. Each node consists of a plus sign within a square. “S T V” is positioned on the left. A rightward arrow labeled “0.251 (0.000)” from “S T V” leads to “E S W B”. “E S W B” has an inner circle value of 0.311. A diagonal downward arrow labeled “0.494 (0.000)” from “S T V” leads to “I W A”. “I W A” has an inner circle value of “0.325”. A diagonal upward arrow labeled “0.167 (0.006)” from “I W A” leads to “E S W B”. “S P M” is positioned at the top. A dashed downward arrow labeled “0.094 (0.017)” from “S P M” leads to “0.494 (0.000)”. A dashed downward arrow labeled “0.080 (0.077)” from “S P M” leads to “0.167 (0.006)”. “Size”, “Education”, “Tenure”, “Gender”, and “Age” are positioned around “E S W B”. Arrows labeled “negative 0.077 (0.069)”, “negative 0.065 (0.137)”, “0.069 (0.167)”, “0.072 (0.422)”, and “negative 0.028 (0.566)” from “Size”, “Education”, “Tenure”, “Gender”, and “Age”, respectively, lead to “E S W B”.

PLS-SME outputs. Notes: ESWB: Environmentally sustainable work behavior, STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management. Source: Authors' own work

Figure 2
A reflective path model shows nine latent variables with measured indicators and path coefficients between constructs.The nine latent variables are each represented by a circular node with the following labels: “S T V”, “S P M”, “I W A”, “E S W B”, “Size”, “Education”, “Tenure”, “Gender”, and “Age”. Each node consists of a plus sign within a square. “S T V” is positioned on the left. A rightward arrow labeled “0.251 (0.000)” from “S T V” leads to “E S W B”. “E S W B” has an inner circle value of 0.311. A diagonal downward arrow labeled “0.494 (0.000)” from “S T V” leads to “I W A”. “I W A” has an inner circle value of “0.325”. A diagonal upward arrow labeled “0.167 (0.006)” from “I W A” leads to “E S W B”. “S P M” is positioned at the top. A dashed downward arrow labeled “0.094 (0.017)” from “S P M” leads to “0.494 (0.000)”. A dashed downward arrow labeled “0.080 (0.077)” from “S P M” leads to “0.167 (0.006)”. “Size”, “Education”, “Tenure”, “Gender”, and “Age” are positioned around “E S W B”. Arrows labeled “negative 0.077 (0.069)”, “negative 0.065 (0.137)”, “0.069 (0.167)”, “0.072 (0.422)”, and “negative 0.028 (0.566)” from “Size”, “Education”, “Tenure”, “Gender”, and “Age”, respectively, lead to “E S W B”.

PLS-SME outputs. Notes: ESWB: Environmentally sustainable work behavior, STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management. Source: Authors' own work

Close modal

Hypothesis 3 posits the mediating effects of IWA on the relationship between self-transcendence values and ESWB. We then added IWA to the direct model, and the results in Table 5 and Figure 2 show that self-transcendence values have a significant and medium-to-large effect on IWA (β 0.494, p < 0.001; f2 0.335 > 0.15), while IWA, with a small-to-medium effect size, is positively related to ESWB (β 0.167, p < 0.01; f2 0.027 > 0.02). This leads to a significant indirect effect of self-transcendence values on ESWB through IWA (indirect effects 0.083, p < 0.01). Moreover, when we included IWA, the direct relationship between self-transcendence values and ESWB remains significant (β 0.167, p < 0.01; f2 0.027), suggesting that IWA are a partial mediator of the relationship between self-transcendence values and ESWB. Thus, we find support for Hypothesis 3.

Hypotheses 4a and 4b posit the moderating effects of SPM on the relationships between self-transcendence values and IWA, and between IWA and ESWB, respectively. As shown in Table 5 and Figure 2, the interaction between self-transcendence values and SPM is positively associated with IWA (β = 0.094, p < 0.05; f2 = 0.014 < 0.02), while the interactive effects of IWA and SPM with ESWB are also significant (β = 0.080, p < 0.10; f2 = 0.010 < 0.02) (Hair et al., 2017). These results provide support for Hypotheses 4a and 4b.

Generational differences in values and attitudes have the potential to impact findings in a study concerned with sustainability. So, while not hypothesized, we conducted a group comparison to explore the differences between young employees (18–34 years old), middle-aged employees (35–54 years old), and older employees (55-plus years). The results in Table 7 indicate that the mediating effects of IWA on the relationship between self-transcendence values and ESWB are more significant among young employees than those effects among older employees (DE − GY = −0.184, p < 0.05). Moreover, the difference in the moderating effects of SPM on the relationship between self-transcendence values and IWA between young and middle-aged employees is weakly significant (DM − GY = −0.163, p < 0.10), while the difference of such effects on the relationship between IWA and ESWB among the three age groups is insignificant.

Table 7

The results of group comparison

GY
R2
GM
R2
GE
R2
DM − GYDE − GYDM − GE
SWB 0.371*** 0.420*** 0.293***    
IWA 0.387*** 0.430*** 0.284***    
STV → IWA 0.511*** 0.523*** 0.535*** 0.012 0.024 −0.012 
SPM → IWA 0.188* 0.278** 0.020 0.090 −0.168 0.258* 
STV × SPM → IWA 0.199** 0.036 0.055 −0.163 −0.145 −0.019 
IWA → ESWB 0.377*** 0.142 0.015 −0.235 −0.362* 0.127 
SPM → ESWB 0.196* 0.217* 0.327*** 0.021 0.131 −0.110 
IWA × SPM → ESWB −0.029 0.118 0.115 0.147 0.144 0.003 
STV → ESWB 0.192 0.320** 0.286** 0.128 0.094 0.034 
Gender → ESWB 0.132 −0.359* −0.014 −0.491* −0.146 −0.345 
Tenure → ESWB 0.105 −0.046 0.079 −0.152 −0.027 −0.125 
Education → ESWB −0.058 −0.111 −0.056 −0.052 0.002 −0.054 
Firm size → ESWB −0.001 −0.196* −0.066 −0.196 −0.065 −0.130 
Indirect effects       
SelfTransV → InnA → SWB 0387*** 0.284*** 0.430*** −0.118 −0.184* 0.066 
GY
R2
GM
R2
GE
R2
DM − GYDE − GYDM − GE
SWB 0.371*** 0.420*** 0.293***    
IWA 0.387*** 0.430*** 0.284***    
STV → IWA 0.511*** 0.523*** 0.535*** 0.012 0.024 −0.012 
SPM → IWA 0.188* 0.278** 0.020 0.090 −0.168 0.258* 
STV × SPM → IWA 0.199** 0.036 0.055 −0.163 −0.145 −0.019 
IWA → ESWB 0.377*** 0.142 0.015 −0.235 −0.362* 0.127 
SPM → ESWB 0.196* 0.217* 0.327*** 0.021 0.131 −0.110 
IWA × SPM → ESWB −0.029 0.118 0.115 0.147 0.144 0.003 
STV → ESWB 0.192 0.320** 0.286** 0.128 0.094 0.034 
Gender → ESWB 0.132 −0.359* −0.014 −0.491* −0.146 −0.345 
Tenure → ESWB 0.105 −0.046 0.079 −0.152 −0.027 −0.125 
Education → ESWB −0.058 −0.111 −0.056 −0.052 0.002 −0.054 
Firm size → ESWB −0.001 −0.196* −0.066 −0.196 −0.065 −0.130 
Indirect effects       
SelfTransV → InnA → SWB 0387*** 0.284*** 0.430*** −0.118 −0.184* 0.066 

Note(s): ESWB: Environmentally sustainable work behavior, STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management. GY: Group of young employees; GM: Group of middle employees; GE: Group of elder employees. Significant level: ***: p < 0.001, **: p < 0.01, *: p < 0.05, : p < 0.10, n.s.: p > 0.10

Source(s): Authors' own work

The Gaussian copula approach (Park and Gupta, 2012) was used to test potential endogeneity. Following the procedure outlined by Hult et al. (2018) and Sarstedt et al. (2020), two steps were taken. First, the Kolmogorov–Smirnov test with Lilliefors correction was run on the scores of the latent variables (IWA and self-transcendence values) in the model to examine if these were nonnormal. The results presented in Table 8 show that none of these latent variable scores are normally distributed, allowing the use of the Gaussian copula approach. Second, the Gaussian copula test was conducted by checking all possible combinations of Gaussian copulas. The results, shown in Table 8, indicate that none of these combinations is significant (p > 0.10), confirming that endogeneity is not an issue in this study. Thus, the results of the PLS model are robust.

Table 8

Assessment of endogeneity using the Gaussian copula approach

Test modelConstructCoefficientp-value
Gaussian copular of Mode 1 (Endogenous variables: IWA) IWA −0.238 0.638 
STV 0.245 0.000 
cIWA 0.398 0.438 
Gaussian copular of Mode 2 (Endogenous variables: STV) IWA 0.161 0.012 
STV 0.300 0.385 
cSTV 0.056 0.873 
Gaussian copular of Mode 3 (Endogenous variables: IWA, STV) IWA −0.299 0.600 
STV 0.400 0.295 
cIWA 0.464 0.428 
cSTV 0.158 0.684 
Test modelConstructCoefficientp-value
Gaussian copular of Mode 1 (Endogenous variables: IWA) IWA −0.238 0.638 
STV 0.245 0.000 
cIWA 0.398 0.438 
Gaussian copular of Mode 2 (Endogenous variables: STV) IWA 0.161 0.012 
STV 0.300 0.385 
cSTV 0.056 0.873 
Gaussian copular of Mode 3 (Endogenous variables: IWA, STV) IWA −0.299 0.600 
STV 0.400 0.295 
cIWA 0.464 0.428 
cSTV 0.158 0.684 

Note(s): STV: Self-transcendence values, IWA: Innovative work attitudes

Source(s): Authors' own work

We also used Baron and Kenny's (1986) approach to check the robustness of our results. The results in Table 9 indicate that self-transcendence values (Model 2: β = 0.494, p < 0.001) are positively and significantly associated with IWA. Moreover, the effects of IWA on ESWB are also positive and significant (Model 5: β = 0.295, p < 0.001). These results inform an indirect effect of self-transcendence values on ESWB through IWA (indirect effect = 0.082). We further conducted a Sobel test to assess the significance of this indirect effect, confirming that the mediating effects of IWA on the relationship between self-transcendence values and ESWB are significant (t = 3.029, s.e. = 0.027, p < 0.001). The results also demonstrate that the interactive term of self-transcendence values and SPM is significantly associated with IWA (Model 3: β = 0.113, p < 0.05), while the effects of the interaction between IWA and SPM are also significant (Model 6: β = 0.091, p < 0.05). These results together provide evidence for the robustness of the results found from PLS-SEM analysis.

Table 9

Regression results

Innovative work attitudesEnvironmentally sustainable work behavior
Model 1Model 2Model 3Model 4Model 5Model 6Model 7
STV  0.494*** (0.045) 0.508*** (0.045)    0.251*** (0.052) 
IWA     0.295*** (0.047) 0.295*** (0.047) 0.167** (0.053) 
SPM  0.166*** (0.046) 0.148** (0.046)  0.315*** (0.048) 0.292*** (0.049) 0.264*** (0.048) 
STV × SPM   0.113* (0.041)     
IWA × SPM      0.091* (0.044) 0.085 (0.042) 
Age −0.115* (0.055) −0.096* (0.046) −0.103* (0.046) −0.095 (0.055) −0.003 (0.049) −0.002 (0.049) −0.028 (0.047) 
Gender −0.033 (0.107) −0.047 (0.090) −0.038 (0.089) −0.056 (0.107) −0.016 (0.094) −0.013 (0.093) −0.036 (0.091) 
Tenure −0.027 (0.055) −0.036 (0.046) −0.048 (0.046) 0.067 (0.055) 0.084 (0.048) 0.080 (0.048) 0.069 (0.047) 
Education −0.009 (0.052) 0.007 (0.043) −0.002 (0.043) −0.089 (0.052) −0.059 (0.045) −0.063 (0.045) −0.065 (0.044) 
Firm size −0.003 (0.052) 0.004 (0.043) 0.009 (0.043) −0.082 (0.052) −0.078 (0.046) −0.080 (0.045) −0.077 (0.044) 
R2 0.016 0.328 0.340 0.027 0.260 0.267 0.311 
R2-change  0.312*** 0.012*  0.233*** 0.008*  
F-value 1.186 17.514*** 15.889*** 2.025 18.342*** 16.662*** 12.931*** 
Max (VIF) 1.147 1.175 1.179 1.147 1.173 1.173 1.488 
Innovative work attitudesEnvironmentally sustainable work behavior
Model 1Model 2Model 3Model 4Model 5Model 6Model 7
STV  0.494*** (0.045) 0.508*** (0.045)    0.251*** (0.052) 
IWA     0.295*** (0.047) 0.295*** (0.047) 0.167** (0.053) 
SPM  0.166*** (0.046) 0.148** (0.046)  0.315*** (0.048) 0.292*** (0.049) 0.264*** (0.048) 
STV × SPM   0.113* (0.041)     
IWA × SPM      0.091* (0.044) 0.085 (0.042) 
Age −0.115* (0.055) −0.096* (0.046) −0.103* (0.046) −0.095 (0.055) −0.003 (0.049) −0.002 (0.049) −0.028 (0.047) 
Gender −0.033 (0.107) −0.047 (0.090) −0.038 (0.089) −0.056 (0.107) −0.016 (0.094) −0.013 (0.093) −0.036 (0.091) 
Tenure −0.027 (0.055) −0.036 (0.046) −0.048 (0.046) 0.067 (0.055) 0.084 (0.048) 0.080 (0.048) 0.069 (0.047) 
Education −0.009 (0.052) 0.007 (0.043) −0.002 (0.043) −0.089 (0.052) −0.059 (0.045) −0.063 (0.045) −0.065 (0.044) 
Firm size −0.003 (0.052) 0.004 (0.043) 0.009 (0.043) −0.082 (0.052) −0.078 (0.046) −0.080 (0.045) −0.077 (0.044) 
R2 0.016 0.328 0.340 0.027 0.260 0.267 0.311 
R2-change  0.312*** 0.012*  0.233*** 0.008*  
F-value 1.186 17.514*** 15.889*** 2.025 18.342*** 16.662*** 12.931*** 
Max (VIF) 1.147 1.175 1.179 1.147 1.173 1.173 1.488 

Note(s): STV: Self-transcendence values, IWA: Innovative work attitudes, SPM: Sustainable performance management. Significant level: ***: p < 0.001, **: p < 0.01, *: p < 0.05, : p < 0.10

Source(s): Authors' own work

In the face of growing emphasis on global sustainable development goals, organizations are increasingly compelled to adopt sustainable practices. A central pathway to achieving this is encouraging employees to engage in sustainable behaviors at work (Paillé, 2024). Advancing this end, our study improves understanding of how personal values translate into workplace behavior by identifying the complex relational pathways through which values influence action and by outlining organizational practices that can foster these connections. In short, it clarifies how to move from values to observable sustainable behaviors at work. Understanding this pathway is important because values are abstract concepts and do not directly drive behavior; their influence unfolds through relational processes that mediate and/or moderate actions. So while personal values are often associated with prompting and shaping pro-social behavior at work (e.g., Arieli et al., 2020; Wagner et al., 2025) and increasingly employees are expressing concern for sustainable work practices (Hahn et al., 2024), neither adequately explain how managers might encourage employees' engagement in sustainable behavior when at work.

To understand these relationships, our study integrates VAB (Homer and Kahle, 1988) and situational strength (Meyer et al., 2010, 2014) theorizing, enabling potential pathways through which HRM might foster sustained engagement in ESWB to be examined. Individual-level results, consistent with applied consumer behavior research (see Zhao and Huang, 2024; Habib et al., 2023), reveal that STV have a direct and positive impact on ESWB in the workplace. Additionally, IWA is found to mediate the relationship between STV and ESWB, enhancing our understanding of this causal pathway. At the organization level, we find support for HRM's role in encouraging employees' engagement in ESWB (Chams and García-Blandón, 2019). Specifically, these results show SPM to strengthen the STV–IWA link and the IWA–ESWB link. These findings have important implications for theory and practice, which are now discussed.

Adopting a more proximal and refined research approach (Nazirova and Borbala, 2024), our study illuminates a nuanced pathway for promoting ESWB, in which STV and IWA are important antecedents. This is an important contribution because historically HRM research has focused on traditional work attitudes (e.g., commitment, job satisfaction) and their link to employee outcomes (turnover – Pinzone et al., 2016; performance – Leong et al., 1994). And while more recent studies have increasingly considered the impacts of attributes such as resilience, creativity and innovation (Islam et al., 2024; Turner, 2020), these attitudes are largely absent from our understanding of ESWB. Thus, we address this oversight.

By introducing situational strength theory (Meyer et al., 2010, 2014) to understand the influence of HRM, our study shows how organizational cues embedded in SPM boost employees' motivation and value alignment with sustainability goals. This theory is particularly relevant to this domain because it focuses on how the environment enables, rather than triggers, the expression of individual traits (Meyer et al., 2010). Our study extends prior work, which has highlighted the importance of aligning employees' values with organizational sustainability goals (Thomas et al., 2025), acknowledging that misalignment can undermine ESWB especially when power imbalances erode employee agency (Hahn et al., 2024). We show that environmentally sustainable work behavior is most effectively promoted when organizational practices align with and actively support employees' personal values and attitudes, rather than focusing solely on changing those values. Moreover, we advance the performance management dimension of sustainable HRM by confirming its strategic value (Thomas et al., 2025) and by showing how this function can transform generic individual resources, such as STV and IWA, into organization-specific assets like ESWB. We also reveal how individual and organizational factors interact to foster ESWB, addressing a key gap in prior research that generally examines these dynamics in isolation (Zhang et al., 2022).

Our study, by treating attitudes as an intermediary variable, highlights how both personal and environmental features shape social behavior, supporting Rokeach's (1969) Two-Attitude theory that behavior results from the interplay of attitudes toward objects and attitudes toward situations (Nazirova and Borbala, 2024). Moreover, by showing how personal factors (e.g., values, attitudes) interact with organizational factors (performance management), we highlight the complexity needed to understand what drives employees' sustainability behavior at work and address a long-standing literature question: why do some employees actively engage with sustainability policies while others do not (Zhang et al., 2022).

Organizations are under increasing societal and community pressure to engage with sustainability (Paillé, 2024), with heightened media attention amplifying the costs of inaction. Adopting a sustainability agenda, however, requires a shift from traditional unitary ideologies to pluralist approaches that recognize employees as key stakeholders (Macke and Genari, 2019) and the positive outcomes that are associated with employees bringing their whole selves to work (Glavas, 2016). This ideological shift presents two main challenges: managing the paradoxical tensions it surfaces (Hahn et al., 2024) and ensuring that organizational processes provide clear and consistent cues about desired values, attitudes and behaviors.

Given that research finds the adoption of sustainable HRM is hindered by an academia–practice gap (Podgorodnichenko et al., 2022), an important objective of this study was to provide accessible, practical insights to help managers foster ESWB. It does so by emphasizing the importance of acknowledging employees' personal values, extending engagement beyond the workplace and adopting a tailored VAB framework to guide ESWB initiatives. Furthermore, it highlights the role of SPM in aligning organizational practices with employees' pro-social values and incentivizing sustainability efforts. Organizations adopt HRM practices including recruitment, training, performance management and rewards to support employees' engagement in ESWB, with research confirming this relationship (e.g., Bolderdijk et al., 2018; Shahzad et al., 2023). Our findings reinforce this view. We show that STV and IWA are hierarchically connected to ESWB, implying that organizations can strategically leverage recruitment and selection practices to identify candidates with these values and attitudes. Furthermore, results highlight the importance of performance management in shaping the value–behavior link: HRM must design and implement systems that send strong and consistent signals about desirable behaviors and reward employees who exhibit them. Such reinforcement is critical because personal values and attitudes, while influential, often require external cues and structures for them to be consistently translated into behavior (Arieli et al., 2020; Steg, 2023).

Based on these findings, we make the following recommendations for practice. First, sustainability goals need to be established, with employee participation in this process is crucial from the outset as this ensures employees' values are fully integrated with those of the organization. Moreover, this value alignment helps minimize employee resistance towards sustainability initiatives and disagreement about goals and the meaning of the organization's sustainability strategy, which can lead to disengagement (Hahn et al., 2024). Second, introduce a performance management plan. A suite of performance management practices that support and reinforce pro-social values and sustainability goal realization needs to be developed. Attributions towards organizational initiatives can sway employees' attitudes and behaviors, so it is important that the motivations for these activities are transparent and effectively communicated. This is because, alongside its positive effects, SPM can also negatively impact. For example, the need for greater tracking, reporting and compliance monitoring can increase workloads – an outcome which can be mitigated by ensuring adequate resourcing is provided. Greenwashing can also occur when employees interpret the organization's espoused commitment to sustainability as being deceptive and/or superficial. For example, research indicates that goal setting, performance measurement and rewards components of SPM are linked to gaming-like behaviors (Aboubichr and Conway, 2023).

Situational strength theory also highlights potential downsides of strong workplace situations. For instance, strong situations can undermine employees' perceptions about autonomy, leading to adverse outcomes (e.g., psychological exhaustion or reduced job satisfaction) (Dalal and Meyer, 2012). While our research focused on contexts where strong situations are aligned with employees' personal values and attitudes, outcomes may differ for those with alternative value–attitude profiles (e.g., conservative or self-enhancement values). Moreover, individual interpretations of situational strength may play a critical role, with some employees perceiving the context as supportive, whereas others view it as constraining their autonomy. Such divergent perceptions can, in turn, diminish the role of strong situations in eliciting consistent behavior (Meyer et al., 2014). These dynamics underscore the importance of carefully considering situational strength when designing SPM practices.

To mitigate perceptions of greenwashing, managers need to demonstrate leadership authenticity, and this comes from ensuring sustainability goals are readily achievable and regularly audited. Third, provide employees with training and development opportunities that emphasize the value of sustainability to the organization and, moreover, demonstrate how employees can contribute to sustainability goal achievement. Last, provide opportunities for employees to communicate any concerns and identify barriers and obstacles that they consider impede their sustainability goal engagement and achievement.

This study has limitations. It relies on cross-sectional, self-reported data, which may introduce social desirability bias, despite no CMB issues being detected. Future research should use objective measures, multi-source data (e.g., supervisor ratings, HR records) and longitudinal or experimental designs to track changes over time. Including multiple stakeholder perspectives across industries can deepen understanding. Given the complex relationship between VAB and sustainable HRM, holistic approaches considering organizational, employee, community, and environmental needs are recommended for insights into ESWB. Additionally, our findings suggest different HRM practices – such as recruitment, training and performance management – may have varying impacts on ESWB, warranting further investigation into their contributions to sustainability goals (De Prins et al., 2014; Mariappanadar, 2022).

We acknowledge that context influences values-based research. Our sample, from a single country and sector, limits generalizability, as background factors shape behavior – public sector employees, for example, are motivated by different values than corporate workers, and Chinese employees may be influenced by Confucianism (Johns, 2018; Winter and Jackson, 2016; Zhao et al., 2021). While full mitigation is not always possible, Johns (2018) recommends including contextual details and advocates for industry-specific, cross-cultural and cross-sector research to identify differences. Similarly, while our study benefits from the rich, context-specific environment of Aotearoa/New Zealand – with its diverse cultures, strong emphasis on equity and distinctive regulatory and workplace norms – these particularities may limit the generalizability of findings to other settings. We recognize that exploring these dynamics in different national or cultural contexts could yield additional insights and benchmarks. Future cross-country or cross-cultural studies are warranted to test the applicability of the observed relationships among values, attitudes and behaviors and to understand how local institutions and cultural frameworks shape these dynamics in other contexts.

Last, little is known about how employees navigate conflicting expectations – such as receiving covert signals that sycophancy is rewarded despite personal values opposing it. Future research should explore whether employees are willing to compromise their values for ESWB and examine how innovative attitudes influence ESWB across different employee levels (junior, middle, senior) to identify potential differences.

Societies face unprecedented environmental and social challenges, including climate change, resource depletion and pollution. These issues are largely attributable to human behavior, underscoring the need to reassess attitudes and behaviors toward the environment. This research contributes to this end by providing insights into fostering ESWB through SPM in contemporary workplaces. Findings show that employees' value and attitude frameworks significantly influence their propensity to engage in ESWB and, importantly, that SPM plays a salient and strategic role in shaping sustainable organizational behavior. Identifying this novel pathway highlights the critical interplay that occurs between employees' personal attributes and their organizational environments, while also attending to recent calls to include employees' perspectives in sustainability research (Ravenswood, 2022). We believe that by enhancing our understanding of how multi-level factors interact to promote ESWB, a crucial foundation for future research in sustainable HRM is laid. This knowledge not only enriches academic discourse but also offers valuable insights into practical initiatives aimed at addressing the pressing challenges currently faced by organizations. Our hope is that by integrating these findings, organizations will be better able to navigate the complexities of fostering ESWB, ultimately leading to more effective and sustainable HRM practices.

Aboubichr
,
B.
and
Conway
,
N.
(
2023
), “
The gaming of performance management systems in British universities
”,
Human Relations
, Vol. 
76
No. 
4
, pp. 
602
-
628
, doi: .
Ahmad
,
W.
,
Kim
,
W.G.
,
Anwer
,
Z.
and
Zhuang
,
W.
(
2020
), “
Schwartz personal values, theory of planned behavior and environmental consciousness: how tourists' visiting intentions towards eco-friendly destinations are shaped?
”,
Journal of Business Research
, Vol. 
110
, pp. 
228
-
236
, doi: .
Ajzen
,
I.
(
1991
), “
The theory of planned behavior
”,
Organizational Behavior and Human Decision Processes
, Vol. 
50
No. 
2
, pp. 
179
-
211
, doi: .
Alam
,
M.Z.
,
Rafiq
,
M.
,
Alafif
,
A.
and
Nasir
,
S.
(
2025
), “
Epistemological extension of situation strength theory to assess intrapreneurial behaviour
”,
International Journal of Innovation Science
, Vol. 
17
No. 
1
, pp. 
38
-
53
, doi: .
Alaybek
,
B.
,
Dalal
,
R.S.
,
Sheng
,
Z.
,
Morris
,
A.G.
,
Tomassetti
,
A.J.
and
Holland
,
S.J.
(
2017
), “
Situational strength cues from social sources at work: relative importance and mediated effects
”,
Frontiers in Psychology
, Vol. 
8
, p.
1512
, doi: .
Amabile
,
T.M.
and
Pratt
,
M.G.
(
2016
), “
The dynamic componential model of creativity and innovation in organizations: making progress, making meaning
”,
Research in Organizational Behavior
, Vol. 
36
, pp. 
157
-
183
, doi: .
Amrutha
,
V.N.
and
Geetha
,
S.N.
(
2020
), “
A systematic review on green human resource management: implications for social sustainability
”,
Journal of Cleaner Production
, Vol. 
247
, 119131, doi: .
Amrutha
,
V.N.
and
Geetha
,
S.N.
(
2021
), “
Linking organizational green training and voluntary workplace green behavior: mediating role of green supporting climate and employees' green satisfaction
”,
Journal of Cleaner Production
, Vol. 
290
, 125876, doi: .
Arieli
,
S.
,
Sagiv
,
L.
and
Roccas
,
S.
(
2020
), “
Challenges and gaps in studying value–behavior associations in work settings
”,
Applied Psychology: An International Review
, Vol. 
69
No. 
2
, pp. 
296
-
301
, doi: .
Asis-Castro
,
A.
and
Edralin
,
D.
(
2018
), “
DLSU business and economics review
”, Vol. 
27
No. 
2
, pp. 
130
-
146
, doi: .
Astrachan
,
C.B.
,
Patel
,
V.K.
and
Wanzenried
,
G.
(
2014
), “
A comparative study of CB-SEM and PLS-SEM for theory development in family firm research
”,
Journal of Family Business Strategy
, Vol. 
5
No. 
1
, pp. 
116
-
128
, doi: .
Awan
,
U.
,
Sroufe
,
R.
and
Kraslawski
,
A.
(
2019
), “
Creativity enables sustainable development: supplier engagement as a boundary condition for the positive effect on green innovation
”,
Journal of Cleaner Production
, Vol. 
226
, pp. 
172
-
185
, doi: .
Bardi
,
A.
and
Schwartz
,
S.H.
(
2003
), “
Values and behavior: strength and structure of relations
”,
Personality and Social Psychology Bulletin
, Vol. 
29
No. 
10
, pp. 
1207
-
1220
, doi: .
Baron
,
R.M.
and
Kenny
,
D.A.
(
1986
), “
The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations
”,
Journal of Personality and Social Psychology
, Vol. 
51
No. 
6
, pp. 
1173
-
1182
, doi: .
Batistič
,
S.
,
Černe
,
M.
,
Kaše
,
R.
and
Zupic
,
I.
(
2016
), “
The role of organizational context in fostering employee proactive behavior: the interplay between HR system configurations and relational climates
”,
European Management Journal
, Vol. 
34
No. 
5
, pp. 
579
-
588
, doi: .
Benitez
,
J.
,
Henseler
,
J.
,
Castillo
,
A.
and
Schuberth
,
F.
(
2020
), “
How to perform and report an impactful analysis using partial least squares: guidelines for confirmatory and explanatory IS research
”,
Information and Management
, Vol. 
2
No. 
57
, 103168, doi: .
Bissing-Olson
,
M.J.
,
Iyer
,
A.
,
Fielding
,
K.S.
and
Zacher
,
H.
(
2013
), “
Relationships between daily affect and pro-environmental behavior at work: the moderating role of pro-environmental attitude
”,
Journal of Organizational Behavior
, Vol. 
34
No. 
2
, pp. 
156
-
175
, doi: .
Blau
,
P.M.
(
1964
), “
Justice in social exchange
”,
Sociological Inquiry
, Vol. 
34
No. 
2
, pp. 
193
-
206
, doi: .
Blok
,
V.
,
Wesselink
,
R.
,
Studynka
,
O.
and
Kemp
,
R.
(
2015
), “
Encouraging sustainability in the workplace: a survey on the pro-environmental behaviour of university employees
”,
Journal of Cleaner Production
, Vol. 
106
, pp. 
55
-
67
, doi: .
Boer
,
D.
and
Fischer
,
R.
(
2013
), “
How and when do personal values guide our attitudes and sociality? Explaining cross-cultural variability in attitude–value linkages
”,
Psychological Bulletin
, Vol. 
139
No. 
5
, pp. 
1113
-
1147
, doi: .
Bolderdijk
,
J.W.
,
Lehman
,
P.K.
and
Geller
,
E.S.
(
2018
), “Encouraging pro-environmental behaviour with rewards and penalties”, in
Steg
,
L.
,
van den Berg
,
A.E.
and
de Groot
,
J.I.M.
(Eds),
Environmental Pychology: An Introduction
, pp. 
273
-
282
.
Bowen
,
D.E.
and
Ostroff
,
C.
(
2004
), “
Understanding HRM-firm performance linkages: the role of the ‘strength’ of the HRM system
”,
Academy of Management Review
, Vol. 
29
No. 
2
, pp. 
203
-
221
, doi: .
Cavagnaro
,
E.
,
Staffieri
,
S.
,
Carrieri
,
A.
,
Burns
,
K.
,
Chen
,
N.
and
Fermani
,
A.
(
2021
), “
Profiling for sustainable tourism: young travellers' self-transcendence values and motivations
”,
European Journal of Tourism Research
, Vol. 
28
, p.
2810
, doi: ,
available at:
 https://ira.lib.polyu.edu.hk/bitstream/10397/93220/1/Cavagnaro_Profiling_Sustainable_Tourism.pdf
Chams
,
N.
and
García-Blandón
,
J.
(
2019
), “
On the importance of sustainable human resource management for the adoption of sustainable development goals
”,
Resources, Conservation and Recycling
, Vol. 
141
, pp. 
109
-
122
, doi: .
Chan
,
H.W.
(
2020
), “
When do values promote pro-environmental behaviors? Multilevel evidence on the self-expression hypothesis
”,
Journal of Environmental Psychology
, Vol. 
71
, 101361, doi: .
Chapman
,
G.
and
Hewitt-Dundas
,
N.
(
2018
), “
The effect of public support on senior manager attitudes to innovation
”,
Technovation
, Vol. 
69
, pp. 
28
-
39
, doi: .
Cheung
,
M.F.
and
To
,
W.M.
(
2019
), “
An extended model of value-attitude-behavior to explain Chinese consumers' green purchase behavior
”,
Journal of Retailing and Consumer Services
, Vol. 
50
, pp. 
145
-
153
, doi: .
Cieciuch
,
J.
(
2017
), “Exploring the complicated relationship between values and behaviour”, in
Values and Behavior: Taking a Cross Cultural Perspective
,
Springer International Publishing
,
Cham
, pp. 
237
-
247
.
Collins
,
C.J.
and
Smith
,
K.G.
(
2006
), “
Knowledge exchange and combination: the role of human resource practices in the performance of high-technology firms
”,
Academy of Management Journal
, Vol. 
49
No. 
3
, pp. 
544
-
560
, doi: .
Connor
,
P.E.
and
Becker
,
B.W.
(
1994
), “
Personal values and management: what do we know and why don't we know more?
”,
Journal of Management Inquiry
, Vol. 
3
No. 
1
, pp. 
67
-
73
, doi: .
Dalal
,
R.
and
Meyer
,
R.
(
2012
), “The implications of situational strength for HRM”, in
The Encyclopedia of Human Resource Management: Thematic Essays
, pp. 
298
-
306
, doi: .
Davis
,
M.C.
and
Challenger
,
R.
(
2013
), “Environmentally sustainable work behaviors”, in
Flood
,
P.
and
Freeney
,
Y.
(Eds),
Wiley Encyclopedia of Management: Organizational Behavior
, (3rd ed.) , Vol. 
3
No. 
1
, pp. 
1
-
10
,
(Vol. 11)
.
de Araújo Burcharth
,
A.L.
,
Knudsen
,
M.P.
and
Søndergaard
,
H.A.
(
2014
), “
Neither invented nor shared here: the impact and management of attitudes for the adoption of open innovation practices
”,
Technovation
, Vol. 
34
No. 
3
, pp. 
149
-
161
, doi: .
de Groot
,
J.I.M.
and
Steg
,
L.
(
2008
), “
Value orientations to explain beliefs related to environmental significant behavior: how to measure egoistic, altruistic, and biospheric value orientations
”,
Environment and Behavior
, Vol. 
40
No. 
3
, pp. 
330
-
354
, doi: .
de Groot
,
J.I.
and
Thøgersen
,
J.
(
2018
), “Values and pro-environmental behaviour”, in
Environmental Psychology: An Introduction
, pp. 
167
-
178
, doi: .
De Prins
,
P.
,
Van Beirendonck
,
L.
,
De Vos
,
A.
and
Segers
,
J.
(
2014
), “
Sustainable HRM: bridging theory and practice through the ‘respect openness continuity (ROC)’-model
”,
Management Revue
, Vol. 
25
No. 
4
, pp. 
263
-
284
, doi: .
Delmas
,
M.A.
and
Pekovic
,
S.
(
2018
), “
Corporate sustainable innovation and employee behavior
”,
Journal of Business Ethics
, Vol. 
150
No. 
4
, pp. 
1071
-
1088
, doi: .
Dreezens
,
E.
,
Martijn
,
C.
,
Tenbült
,
P.
,
Kok
,
G.
and
de Vries
,
N.K.
(
2008
), “
The missing link: on strengthening the relationship between values and attitudes
”,
Basic and Applied Social Psychology
, Vol. 
30
No. 
2
, pp. 
142
-
152
, doi: .
Eastman
,
J.K.
,
Modi
,
P.
and
Gordon-Wilson
,
S.
(
2020
), “
The impact of future time perspective and personality on the sustainable behaviours of seniors
”,
Journal of Consumer Policy
, Vol. 
43
No. 
2
, pp. 
275
-
294
, doi: .
Edgar
,
F.
,
Zhang
,
J.A.
,
Podgorodnichenko
,
N.
and
Akmal
,
A.
(
2024
), “
Competitive strategy delivery in the service sector: a study of the behavioural model
”,
Personnel Review
, Vol. 
53
No. 
8
, pp. 
2233
-
2254
, doi: .
Engelsberger
,
A.
,
Bartram
,
T.
,
Cavanagh
,
J.
,
Halvorsen
,
B.
and
Bogers
,
M.
(
2023
), “
The role of collaborative human resource management in supporting open innovation: a multi-level model
”,
Human Resource Management Review
, Vol. 
33
No. 
2
, 100942, doi: .
Faisal
,
S.
(
2023
), “
Twenty-years journey of sustainable human resource management research: a bibliometric analysis
”,
Administrative Sciences
, Vol. 
13
No. 
6
, p.
139
, doi: .
Farida
,
I.
and
Setiawan
,
D.
(
2022
), “
Business strategies and competitive advantage: the role of performance and innovation
”,
Journal of Open Innovation Technology Market and Complexity
, Vol. 
8
No. 
3
, p.
163
, doi: .
Fornell
,
C.
and
Larcker
,
D.F.
(
1981
), “
Evaluating structural equation models with unobservable variables and measurement error
”,
Journal of Marketing Research
, Vol. 
18
No. 
1
, pp. 
39
-
50
, doi: .
Gansser
,
O.A.
and
Reich
,
C.S.
(
2023
), “
Influence of the new ecological paradigm (NEP) and environmental concerns on pro-environmental behavioral intention based on the theory of planned behavior (TPB)
”,
Journal of Cleaner Production
, Vol. 
382
, 134629, doi: .
George
,
J.M.
and
Zhou
,
J.
(
2001
), “
When openness to experience and conscientiousness are related to creative behavior: an interactional approach
”,
Journal of Applied Psychology
, Vol. 
86
No. 
3
, pp. 
513
-
524
, doi: .
Glavas
,
A.
(
2016
), “
Corporate social responsibility and organizational psychology: an integrative review
”,
Frontiers in Psychology
, Vol. 
7
, p.
144
, doi: .
Gouda
,
G.K.
and
Tiwari
,
B.
(
2022
), “
Talent agility, innovation adoption and sustainable business performance: empirical evidences from Indian automobile industry
”,
International Journal of Productivity and Performance Management
, Vol. 
71
No. 
6
, pp. 
2582
-
2604
, doi: .
Habib
,
M.D.
,
Kaur
,
P.
,
Sharma
,
V.
and
Talwar
,
S.
(
2023
), “
Analyzing the food waste reduction intentions of UK households. A value-attitude-behavior (VAB) theory perspective
”,
Journal of Retailing and Consumer Services
, Vol. 
75
, 103486, doi: .
Hahn
,
T.
,
Sharma
,
G.
and
Glavas
,
A.
(
2024
), “
Employee-CSR tensions: drivers of employee (dis) engagement with contested CSR initiatives
”,
Journal of Management Studies
, Vol. 
61
No. 
4
, pp. 
1364
-
1392
, doi: .
Hair
,
J.F.
,
Hult
,
G.T.M.
,
Ringle
,
C.M.
,
Sarstedt
,
M.
and
Thiele
,
K.O.
(
2017
), “
Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods
”,
Journal of the Academy of Marketing Science
, Vol. 
45
No. 
5
, pp. 
616
-
632
, doi: .
Hair
,
J.F.
,
Howard
,
M.C.
and
Nitzl
,
C.
(
2020
), “
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
”,
Journal of Business Research
, Vol. 
109
, pp. 
101
-
110
, doi: .
Hassan
,
A.K.M.
(
2024
), “
Innovation champions and sustainable development projects: systematic literature review and integrative model
”,
International Journal of Innovation Management
, Vol. 
28
Nos
1/2
, 2330002, doi: .
Henseler
,
J.
,
Ringle
,
C.M.
and
Sarstedt
,
M.
(
2015
), “
A new criterion for assessing discriminant validity in variance-based structural equation modeling
”,
Journal of the Academy of Marketing Science
, Vol. 
43
No. 
1
, pp. 
115
-
135
, doi: .
Hlastec
,
A.
,
Mumel
,
D.
and
Hauptman
,
L.
(
2023
), “
Is there a relationship between self-enhancement, conservation and personal tax culture?
”,
Sustainability
, Vol. 
15
No. 
7
, p.
5797
, doi: .
Hock-Doepgen
,
M.
,
Heaton
,
S.
,
Clauss
,
T.
and
Block
,
J.
(
2025
), “
Identifying microfoundations of dynamic managerial capabilities for business model innovation
”,
Strategic Management Journal
, Vol. 
46
No. 
2
, pp. 
470
-
501
, doi: .
Homer
,
P.M.
and
Kahle
,
L.R.
(
1988
), “
A structural equation test of the value–attitude–behavior hierarchy
”,
Journal of Personality and Social Psychology
, Vol. 
54
No. 
4
, pp. 
638
-
646
, doi: .
Hult
,
G.T.M.
,
Hair
,
J.F.
 Jr
,
Proksch
,
D.
,
Sarstedt
,
M.
,
Pinkwart
,
A.
and
Ringle
,
C.M.
(
2018
), “
Addressing endogeneity in international marketing applications of partial least squares structural equation modeling
”,
Journal of International Marketing
, Vol. 
26
No. 
3
, pp. 
1
-
21
, doi: .
Islam
,
T.
,
Zulfiqar
,
I.
,
Aftab
,
H.
,
Alkharabsheh
,
O.H.M.
and
Shahid
,
M.K.
(
2024
), “
Testing the waters! The role of ethical leadership towards innovative work behavior through psychosocial well-being and perceived organizational support
”,
Journal of Organizational Change Management
, Vol. 
37
No. 
5
, pp. 
1051
-
1072
, doi: .
Jacobs
,
K.
,
Petersen
,
L.
,
Hörisch
,
J.
and
Battenfeld
,
D.
(
2018
), “
Green thinking but thoughtless buying? An empirical extension of the value-attitude-behaviour hierarchy in sustainable clothing
”,
Journal of Cleaner Production
, Vol. 
203
, pp. 
1155
-
1169
, doi: .
Janssen
,
O.
(
2000
), “
Job demands, perceptions of effort-reward fairness and innovative work behaviour
”,
Journal of Occupational and Organizational Psychology
, Vol. 
73
No. 
3
, pp. 
287
-
302
, doi: .
Jiang
,
K.
,
Lepak
,
D.P.
,
Han
,
K.
,
Hong
,
Y.
,
Kim
,
A.
and
Winkler
,
A.L.
(
2012
), “
Clarifying the construct of human resource systems: relating human resource management to employee performance
”,
Human Resource Management Review
, Vol. 
22
No. 
2
, pp. 
73
-
85
, doi: .
Johns
,
G.
(
2018
), “
Advances in the treatment of context in organizational research
”,
Annual Review of Organizational Psychology and Organizational Behavior
, Vol. 
5
No. 
1
, pp. 
21
-
46
, doi: .
Kahle
,
L.R.
(
1983
),
Social Values and Social Change: Adaptation to Life in America
,
Praeger
,
New York
.
Kim
,
M.J.
and
Hall
,
C.M.
(
2021
), “
Do value-attitude-behavior and personality affect sustainability crowdfunding initiatives?
”,
Journal of Environmental Management
, Vol. 
280
, 111827.
Kock
,
N.
(
2015
), “
Common method bias in PLS-SEM: a full collinearity assessment approach
”,
International Journal of e-Collaboration (IJeC)
, Vol. 
11
No. 
4
, pp. 
1
-
10
, doi: .
Leong
,
S.M.
,
Randall
,
D.M.
and
Cote
,
J.A.
(
1994
), “
Exploring the organizational commitment– performance linkage in marketing: a study of life insurance salespeople
”,
Journal of Business Research
, Vol. 
29
No. 
1
, pp. 
57
-
63
, doi: .
Liu
,
J.
(
2021
), “
Linking psychological capital and behavioral support for change: the roles of openness to change and climate for innovation
”,
Frontiers in Psychology
, Vol. 
12
, 612149, doi: .
Macke
,
J.
and
Genari
,
D.
(
2019
), “
Systematic literature review on sustainable human resource management
”,
Journal of Cleaner Production
, Vol. 
208
, pp. 
806
-
815
, doi: .
Maio
,
G.R.
(
2010
), “Mental representations of social values”, in
Zanna
,
M.P.
(Ed.),
Advances in Experimental Social Psychology
,
Elsevier Academic Press
, Vol. 
42
, pp. 
1
-
43
, doi: .
Małecka
,
A.
,
Mitręga
,
M.
,
Mróz-Gorgoń
,
B.
and
Pfajfar
,
G.
(
2022
), “
Adoption of collaborative consumption as sustainable social innovation: sociability and novelty seeking perspective
”,
Journal of Business Research
, Vol. 
144
, pp. 
163
-
179
, doi: .
Mariappanadar
,
S.
(
2022
), “
High performance sustainable work practices: scale development and validation
”,
Sustainability
, Vol. 
14
No. 
19
, 12682, doi: .
Markowitz
,
E.M.
,
Goldberg
,
L.R.
,
Ashton
,
M.C.
and
Lee
,
K.
(
2012
), “
Profiling the ‘pro-environmental individual’: a personality perspective
”,
Journal of Personality
, Vol. 
80
No. 
1
, pp. 
81
-
111
, doi: .
McAndrew
,
I.
,
Edgar
,
F.
and
Jerrard
,
M.
(
2018
), “Human resource management and employment relations paradigms in Australia and New Zealand”, in
Parker
,
J.
(Ed.),
The Big Issues in Employment: HR Management and Employment Relations in Australasia
, (2nd ed.) ,
CCH (Wolters Kluwer)
,
Auckland
, pp. 
1
-
19
.
McDonald
,
F.V.
(
2014
), “
Developing an integrated conceptual framework of pro-environmental behavior in the workplace through synthesis of the current literature
”,
Administrative Sciences
, Vol. 
4
No. 
3
, pp. 
276
-
303
, doi: .
Melián-González
,
S.
(
2016
), “
An extended model of the interaction between work-related attitudes and job performance
”,
International Journal of Productivity and Performance Management
, Vol. 
65
No. 
1
, pp. 
42
-
57
, doi: .
Meyer
,
R.D.
,
Dalal
,
R.S.
and
Hermida
,
R.
(
2010
), “
A review and synthesis of situational strength in the organizational sciences
”,
Journal of Management
, Vol. 
36
No. 
1
, pp. 
121
-
140
, doi: .
Meyer
,
R.D.
,
Dalal
,
R.S.
,
José
,
I.J.
,
Hermida
,
R.
,
Chen
,
T.R.
,
Vega
,
R.P.
,
Brooks
,
C.K.
and
Khare
,
V.P.
(
2014
), “
Measuring job-related situational strength and assessing its interactive effects with personality on voluntary work behavior
”,
Journal of Management
, Vol. 
40
No. 
4
, pp. 
1010
-
1041
, doi: .
Mischel
,
W.
(
1999
), “
Implications of person–situation interaction: getting over the field's borderline personality disorder
”,
European Journal of Personality
, Vol. 
13
No. 
5
, pp. 
455
-
461
, doi: .
Mitchell
,
I.K.
and
Walinga
,
J.
(
2017
), “
The creative imperative: the role of creativity, creative problem solving and insight as key drivers for sustainability
”,
Journal of Cleaner Production
, Vol. 
140
, pp. 
1872
-
1884
, doi: .
Muralidharan
,
S.
and
Sheehan
,
K.
(
2017
), “
‘Tax’ and ‘fee’ frames in green advertisements: the influence of self-transcendence in reusable bag usage
”,
Journal of Promotion Management
, Vol. 
23
No. 
6
, pp. 
851
-
871
, doi: .
Nazirova
,
Z.
and
Borbala
,
S.
(
2024
), “
Values, attitudes and the behaviour paradigm: a systematic literature review
”,
Journal of Human Values
, Vol. 
30
No. 
2
, pp. 
214
-
239
, doi: .
Ouedraogo
,
N.
,
Wei
,
W.X.
,
Muhammad
,
A.
and
Ouakouak
,
M.L.
(
2025
), “
Effects of market pressure on organisational innovation performance: mediating roles of commitment to innovate, resource to innovate and manager innovation capability
”,
International Journal of Productivity and Performance Management
, Vol. 
74
No. 
5
, pp. 
1717
-
1742
, doi: .
Paillé
,
P.
(
2024
), “
Green human resource practices for individual environmental performance: a meta-review
”,
Canadian Journal of Administrative Sciences - Revue Canadienne des Sciences de l Administration
, Vol. 
42
No. 
2
, pp. 
288
-
301
,
available at:
 https://onlinelibrary.wiley.com/doi/pdf/10.1002/cjas.1768
Park
,
S.
and
Gupta
,
S.
(
2012
), “
Handling endogenous regressors by joint estimation using copulas
”,
Marketing Science
, Vol. 
31
No. 
4
, pp. 
567
-
586
, doi: .
Perrin
,
A.L.
,
Jury
,
M.
and
Desombre
,
C.
(
2021
), “
Are teachers' personal values related to their attitudes toward inclusive education? A correlational study
”,
Social Psychology of Education
, Vol. 
24
No. 
4
, pp. 
1085
-
1104
, doi: .
Pinzone
,
M.
,
Guerci
,
M.
,
Lettieri
,
E.
and
Redman
,
T.
(
2016
), “
Progressing in the change journey towards sustainability in healthcare: the role of ‘green’ HRM
”,
Journal of Cleaner Production
, Vol. 
122
, pp. 
201
-
211
, doi: .
Ployhart
,
R.E.
(
2021
), “
Resources for what? Understanding performance in the resource-based view and strategic human capital resource literature
”,
Journal of Management
, Vol. 
47
No. 
7
, pp. 
1771
-
1786
, doi: .
Podgorodnichenko
,
N.
,
Edgar
,
F.
and
Akmal
,
A.
(
2022
), “
An integrative literature review of the CSR-HRM nexus: learning from research-practice gaps
”,
Human Resource Management Review
, Vol. 
32
No. 
3
, 100839, doi: .
Podsakoff
,
P.M.
,
MacKenzie
,
S.B.
,
Lee
,
J.-Y.
and
Podsakoff
,
N.P.
(
2003
), “
Common method biases in behavioral research: a critical review of the literature and recommended remedies
”,
Journal of Applied Psychology
, Vol. 
88
No. 
5
, pp. 
879
-
903
, doi: .
Pulakos
,
E.D.
,
Mueller-Hanson
,
R.
and
Arad
,
S.
(
2019
), “
The evolution of performance management: searching for value
”,
Annual Review of Organizational Psychology and Organizational Behavior
, Vol. 
6
No. 
1
, pp. 
249
-
271
, doi: .
Rahman
,
I.
and
Reynolds
,
D.
(
2019
), “
The influence of values and attitudes on green consumer behavior: a conceptual model of green hotel patronage
”,
International Journal of Hospitality and Tourism Administration
, Vol. 
20
No. 
1
, pp. 
47
-
74
, doi: .
Ravenswood
,
K.
(
2022
), “
Greening work–life balance: connecting work, caring and the environment
”,
Industrial Relations Journal
, Vol. 
53
No. 
1
, pp. 
3
-
18
, doi: .
Raza
,
A.
and
Farrukh
,
M.
(
2023
), “
Going green: an application of personal value theory to understand consumers visiting intention toward green hotels in Pakistan
”,
International Journal of Contemporary Hospitality Management
, Vol. 
35
No. 
9
, pp. 
3322
-
3343
, doi: .
Ringle
,
C.M.
,
Sarstedt
,
M.
,
Mitchell
,
R.
and
Gudergan
,
S.P.
(
2020
), “
Partial least squares structural equation modeling in HRM research
”,
The International Journal of Human Resource Management
, Vol. 
31
No. 
12
, pp. 
1617
-
1643
, doi: .
Rokeach
,
M.
(
1969
),
A Theory of Organization and Theory: Beliefs, Attitudes, and Values
,
Jossey-Bass
, ISBN:
[PubMed]
,
New York, NY
.
Rousseau
,
M.B.
,
Mathias
,
B.D.
,
Madden
,
L.T.
and
Crook
,
T.R.
(
2016
), “
Innovation, firm performance, and appropriation: a meta-analysis
”,
International Journal of Innovation Management
, Vol. 
20
No. 
03
, 1650033, doi: .
Rubel
,
M.R.B.
,
Kee
,
D.M.H.
and
Rimi
,
N.N.
(
2021
), “
Green human resource management and supervisor pro-environmental behavior: the role of green work climate perceptions
”,
Journal of Cleaner Production
, Vol. 
313
, 127669, doi: .
Sabbir
,
M.M.
and
Taufique
,
K.M.R.
(
2022
), “
Sustainable employee green behavior in the workplace: integrating cognitive and non-cognitive factors in corporate environmental policy
”,
Business Strategy and the Environment
, Vol. 
31
No. 
1
, pp. 
110
-
128
, doi: .
Sadiq
,
M.
,
Adil
,
M.
and
Paul
,
J.
(
2022
), “
Eco-friendly hotel stay and environmental attitude: a value-attitude-behaviour perspective
”,
International Journal of Hospitality Management
, Vol. 
100
, 103094, doi: .
Sagiv
,
L.
and
Schwartz
,
S.H.
(
2022
), “
Personal values across cultures
”,
Annual Review of Psychology
, Vol. 
73
No. 
1
, pp. 
517
-
546
, doi: .
Sagiv
,
L.
,
Roccas
,
S.
,
Cieciuch
,
J.
and
Schwartz
,
S.H.
(
2017
), “
Personal values in human life
”,
Nature Human Behaviour
, Vol. 
1
No. 
9
, pp. 
630
-
639
, doi: .
Sanders
,
K.
,
Jorgensen
,
F.
,
Shipton
,
H.
,
Van Rossenberg
,
Y.
,
Cunha
,
R.
,
Li
,
X.
,
Rodrigues
,
R.
,
Wong
,
S.I.
and
Dysvik
,
A.
(
2018
), “
Performance-based rewards and innovative behaviors
”,
Human Resource Management
, Vol. 
57
No. 
6
, pp. 
1455
-
1468
, doi: .
Sarstedt
,
M.
,
Hair
,
J.F.
 Jr
,
Nitzl
,
C.
,
Ringle
,
C.M.
and
Howard
,
M.C.
(
2020
), “
Beyond a tandem analysis of SEM and PROCESS: use of PLS-SEM for mediation analyses
!”,
International Journal of Market Research
, Vol. 
62
No. 
3
, pp.
288
-
299
.
Schleicher
,
D.J.
,
Hansen
,
S.D.
and
Fox
,
K.E.
(
2011
), “Job attitudes and work values”, in
Zedeck
,
S.
(Ed.),
APA Handbook of Industrial and Organizational Psychology
,
American Psychological Association
, Vol. 
3
, pp. 
137
-
189
, doi: .
Schlittgen
,
R.
,
Ringle
,
C.M.
,
Sarstedt
,
M.
and
Becker
,
J.M.
(
2016
), “
Segmentation of PLS path models by iterative reweighted regressions
”,
Journal of Business Research
, Vol. 
69
No. 
10
, pp. 
4583
-
4592
, doi: .
Schwartz
,
S.H.
(
2012
), “
An overview of the Schwartz theory of basic values
”,
Online readings in Psychology and Culture
, Vol. 
2
No. 
1
, pp. 
1
-
20
, doi: .
Schwartz
,
S.H.
and
Bardi
,
A.
(
2001
), “
Value hierarchies across cultures: taking a similarities perspective
”,
Journal of Cross-Cultural Psychology
, Vol. 
32
No. 
3
, pp. 
268
-
290
, doi: .
Shah
,
N.
,
Bano
,
S.
,
Saraih
,
U.N.
,
Abdelwahed
,
N.A.A.
and
Soomro
,
B.A.
(
2025
), “
Strength of green HRM practices towards green performance management
”,
Benchmarking: An International Journal
, Vol. 
ahead-of-print
 
No. ahead-of-print
, doi: .
Shahzad
,
M.A.
,
Jianguo
,
D.
and
Junaid
,
M.
(
2023
), “
Impact of green HRM practices on sustainable performance: mediating role of green innovation, green culture, and green employees' behavior
”,
Environmental Science and Pollution Research
, Vol. 
30
No. 
38
, pp. 
88524
-
88547
, doi: .
Sharma
,
P.N.
,
Liengaard
,
B.
,
Hair
,
J.F.
,
Sarstedt
,
M.
and
Ringle
,
C.M.
(
2023
), “
Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT
”,
European Journal of Marketing
, Vol. 
57
No. 
6
, pp. 
1662
-
1677
, doi: .
Shmueli
,
G.
,
Sarstedt
,
M.
,
Hair
,
J.F.
,
Cheah
,
J.-H.
,
Ting
,
H.
,
Vaithilingam
,
S.
and
Ringle
,
C.M.
(
2019
), “
Predictive model assessment in PLS-SEM: guidelines for using PLSpredict
”,
European Journal of Marketing
, Vol. 
53
No. 
11
, pp. 
2322
-
2347
, doi: .
Steg
,
L.
(
2023
), “
Psychology of climate change
”,
Annual Review of Psychology
, Vol. 
74
No. 
1
, pp. 
391
-
421
, doi: .
Steg
,
L.
and
Vlek
,
C.
(
2009
), “
Encouraging pro-environmental behaviour: an integrative review and research agenda
”,
Journal of Environmental Psychology
, Vol. 
29
No. 
3
, pp. 
309
-
317
, doi: .
Steg
,
L.
,
Perlaviciute
,
G.
,
Van der Werff
,
E.
and
Lurvink
,
J.
(
2014
), “
The significance of hedonic values for environmentally relevant attitudes, preferences, and actions
”,
Environment and Behavior
, Vol. 
46
No. 
2
, pp. 
163
-
192
, doi: .
Stern
,
P.C.
(
2000
), “
New environmental theories: toward a coherent theory of environmentally significant behavior
”,
Journal of Social Issues
, Vol. 
56
No. 
3
, pp. 
407
-
424
, doi: .
Sumiati
,
S.
,
Esnu
,
E.
and
Ismalia
,
F.
(
2025
), “
Green management practices on environmental performance: the mediating role of workplace pro-environmental behavior
”,
IOP Conference Series: Earth and Environmental Science
, Vol. 
1524
No. 
1
, 012024.
Thneibat
,
M.M.
(
2024
), “
The impact of high commitment work practices on radical innovation: innovative work behaviour and knowledge sharing as mediators
”,
International Journal of Productivity and Performance Management
, Vol. 
73
No. 
7
, pp. 
2329
-
2363
, doi: .
Thneibat
,
M.M.
and
Sweis
,
R.J.
(
2023
), “
The impact of performance-based rewards and developmental performance appraisal on innovation: the mediating role of innovative work behaviour
”,
International Journal of Productivity and Performance Management
, Vol. 
72
No. 
6
, pp. 
1646
-
1666
, doi: .
Thomas
,
M.
,
Maheswari
,
G.S.
and
Kavitha
,
M.
(
2025
), “
Performance management and sustainability goals
”,
Cuestiones de Fisioterapia
, Vol. 
54
No. 
3
, pp. 
1138
-
1156
, doi: .
Turner
,
P.
(
2020
),
Employee Engagement in Contemporary Organizations: Maintaining High Productivity and Sustained Competitiveness
,
Springer Nature
,
Switzerland
, doi: .
Urien
,
B.
and
Kilbourne
,
W.
(
2011
), “
Generativity and self-enhancement values in eco-friendly behavioral intentions and environmentally responsible consumption behavior
”,
Psychology and Marketing
, Vol. 
28
No. 
1
, pp. 
69
-
90
, doi: .
Van Buren
,
H.J.
 III
(
2022
), “
The value of including employees: a pluralist perspective on sustainable HRM
”,
Employee Relations: The International Journal
, Vol. 
44
No. 
3
, pp. 
686
-
701
, doi: .
Vatananan-Thesenvitz
,
R.
,
Schaller
,
A.A.
and
Shannon
,
R.
(
2019
), “
A bibliometric review of the knowledge base for innovation in sustainable development
”,
Sustainability
, Vol. 
11
No. 
20
, p. 
5783
, doi: .
Wagner
,
B.
,
Steg
,
L.
and
van der Werff
,
E.
(
2025
), “
Values at work: understanding the relationship of individual and perceived organisational values on employees' motivation and pro-environmental behaviour at work
”,
Journal of Environmental Psychology
, Vol. 
103
, 102547, doi: .
Winter
,
R.P.
and
Jackson
,
B.A.
(
2016
), “
Work values preferences of generation Y: performance relationship insights in the Australian public service
”,
The International Journal of Human Resource Management
, Vol. 
27
No. 
17
, pp. 
1997
-
2015
, doi: .
Zaidi
,
H.
and
Azmi
,
F.T.
(
2024
), “
Workplace pro-environmental behaviour: a review and bibliometric analysis
”,
International Journal of Productivity and Performance Management
, Vol. 
73
No. 
1
, pp. 
158
-
185
, doi: .
Zhang
,
Y.
,
Zhang
,
Z.
and
Jia
,
M.
(
2022
), “
When and why perceived organizational environmental support fails to work: from a congruence perspective
”,
Management and Organization Review
, Vol. 
18
No. 
3
, pp. 
519
-
550
, doi: .
Zhao
,
Z.
and
Huang
,
L.
(
2024
), “
Values in action: unveiling the impact of self-transcendence and self-enhancement on domestic consumption choices
”,
Behavioral Sciences
, Vol. 
14
No. 
3
, p.
203
, doi: ,
available at:
 file:///C:/Users/edgfi43p/Downloads/behavsci-14-00203.pdf
Zhao
,
H.
,
Zhou
,
Q.
,
He
,
P.
and
Jiang
,
C.
(
2021
), “
How and when does socially responsible HRM affect employees' organizational citizenship behaviors toward the environment?
”,
Journal of Business Ethics
, Vol. 
169
No. 
2
, pp. 
371
-
385
, doi: .
Zobel
,
A.-K.
(
2017
), “
Benefiting from open innovation: a multidimensional model of absorptive capacity
”,
Journal of Product Innovation Management
, Vol. 
34
No. 
3
, pp. 
269
-
288
, doi: .
McKinsey
(
2023
), “
The triple play: growth, profit, and sustainability
”,
available at:
 https://www.mckinsey.com/capabilities/strategy-and-corporate-finance/our-insights/the-triple-play-growth-profit-and-sustainability
World economic forum
(
2024
), “
From obligation to motivation: why employee engagement is the key to ESG success
”,
available at:
 https://www.weforum.org/stories/2024/12/employee-engagement-esg/
AR6 Synthesis Report: Climate Change
(
2023
),
available at:
 https://www.ipcc.ch/report/ar6/syr/
Marcus
,
J.
and
Roy
,
J.
(
2019
), “
In search of sustainable behaviour: the role of core values and personality traits
”,
Journal of Business Ethics
, Vol. 
158
No. 
1
, pp. 
63
-
79
, doi: .
Think New: Study with New Zealand
(
n.d.
),
available at:
 https://naumainz.studyinnewzealand.govt.nz/help-and-advice/life-and-culture/new-zealand-culture (
accessed
 6 March 2025).
Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence.

or Create an Account

Close Modal
Close Modal