Skip to Main Content
Purpose

Society 5.0, which places humans at the forefront, utilizes Industry 4.0 technologies to enhance social sustainability and quality of life. This study takes an innovative approach by investigating the role of social cyberloafing in promoting social sustainability in small and medium-sized enterprises (SMEs) through integrating technological recovery experiences, such as relaxation, psychological detachment, mastery experiences, and control during leisure.

Design/methodology/approach

Employing the effort recovery model, this study explains whether social cyberloafing affects social sustainability. The empirical data from two hundred and fifty-four individuals from manufacturing and services SME firms in Turkey were collected and analyzed via a structural equation model.

Findings

Structural analysis indicates that social cyberloafing positively impacts employees’ social sustainability and recovery experiences. Moreover, two constructs of recovery experiences, psychological detachment and relaxation, fully mediate the relationship between social cyberloafing and social sustainability, whereas mastery experiences and control during leisure play insignificant roles.

Practical implications

These findings challenge the traditional management view of cyberloafing as harmful and distracting. They demonstrate that social cyberloafing can be a beneficial recovery experience, but excessive cyberloafing can also hinder social performance. This insight is crucial for managers and policy-makers, who should consider the holistic effects of social cyberloafing on social sustainability.

Originality/value

This study offers novel contributions to the effect of social cyberloafing on the social sustainability of SME firms' employees. The findings illustrate how social cyberloafing can serve as a recovery experience and improve social sustainability; however, excessive cyberloafing can also hinder social performance. SMEs must be aware of this potential downside and manage cyberloafing effectively.

In the current digital era, humanity has witnessed a significant change in almost every aspect of life, including work, industry, and society (Dabić et al., 2023; Švarc and Dabić, 2023; Švarc et al., 2024; Alwadain et al., 2024). Digital technologies, such as social media platforms, mobile applications, artificial intelligence, etc., are double-edged swords, improving well-being and quality of life (Abbas, 2024) while negatively affecting society through unemployment and human behavior (Figueroa et al., 2023). Industry 4.0 encompasses a variety of digital technologies under its umbrella, with social media garnering considerable attention in particular (Ali and Johl, 2023). Facebook is one of the world’s most popular social media sites, with over 3.05 billion active users. Similarly, WhatsApp and Instagram, widespread among the younger generation, have 3.03 and 2.0 billion users, respectively (Statista, 2024). According to Kemp (2023), as of April 2023, there were approximately 5.44 billion internet users, and approximately 5.07 billion (93.3%) used social media monthly. Although social media has significantly increased workplace productivity (Kanwal et al., 2024; Mao et al., 2022), it has presented the business world with a unique set of challenges, including cyberloafing behavior, which refers to employees' use of the Internet during office time to check personal emails and browse nonwork-related websites (Ali, 2024; Lim and Teo, 2024).

Cyberloafing has emerged as an intriguing topic, revealing the dual nature of its dark and positive effects (Zhang et al., 2024). Scholars have studied it from different perspectives. For example, Korzynski and Protsiuk (2024) studied cyberloafing with employees’ time management abilities and concluded that employees who engage in cyberloafing rarely perform their tasks on time. Tan et al. (2024a, b) examined how cyberloafing impacts nursing students' academic performance and mental well-being and reported a negative relationship. In contrast, Tsai (2023) highlighted the positive aspects of cyberloafing, showing that cyberloafing is positively associated with employees’ innovation performance and resourcefulness. Similarly, Ma et al. (2023) stated that publicly and privately owned social media contributed to employee job satisfaction and performance. Nevertheless, there has been a recent shift in perspective, with scholars suggesting that cyberloafing can serve as a coping strategy at the individual and firm levels (Lim and Teo, 2024; Yang et al., 2023; Yu et al., 2024). This emerging aspect underscores the nuanced exploration of cyberloafing as a promising area of research. This concept has gained considerable attention in diverse domains, such as counterproductive work behavior (Bhattacharjee and Sarkar, 2024), job satisfaction (Zhang et al., 2024), and ostracism (Koay and Lai, 2023).

This study focuses on the social aspect of cyberloafing in SMEs since more than 93% of internet users benefit from social media (Kemp, 2023). Social cyberloafing occurs when employees access social media sites during work (Koay and Lai, 2023). When people engage in social cyberloafing, as opposed to traditional cyberloafing, they are primarily involved in checking social media feeds, chatting with friends, or browsing social networking sites while at work (Bhattacharjee and Sarkar, 2024). Workers spending too much time on social media instead of concentrating on their jobs can cause them to lose productivity, become distracted, and perform worse (Al Frijat et al., 2024; Alwadain et al., 2024). Moreover, social cyberloafing plays a vital role in fostering the ideas of Society 5.0 by facilitating connectivity, collaboration, and the exchange of knowledge across diverse communities (Figueroa et al., 2023).

Cyberloafing research has focused primarily on efficiency and individual work-related outcomes, with a lack of focus on social sustainability, particularly well-being and quality of life. This study focuses on social cyberloafing’s role in employees’ social sustainability in Turkish SMEs. It investigates how technological recovery experiences, such as psychological detachment, control during leisure time, relaxation, and personal mastery, contribute to their relationship. Focusing on SMEs’ employees has strategic significance, given this sector’s crucial role in the country’s economy and labor market. Unlike large firms, SMEs have unique characteristics, such as human, financial, and related resource constraints and limited business portfolios. The close-knit nature of small firms allows employee behavior to impact overall organizational culture and performance (Abbas et al., 2025).

Turkey’s vibrant economic landscape and distinct cultural milieu provide a unique and compelling setting to explore the role of technological recovery experiences in mitigating the effects of social cyberloafing. Understanding this context is crucial, as Turkish small businesses face unique obstacles, including rapid industrialization, pressures from globalization, and a workforce becoming more involved with digital technology. By focusing on this sector, the research can provide valuable insights into how employee behavior, recovery strategies, and employee social sustainability interact, leading to a more comprehensive understanding of social sustainability in a critical yet overlooked economic sector. Using the effort–recovery model (ERM), this study develops a theoretical framework that contributes to the literature on social cyberloafing in the SME context within the Society 5.0 framework by highlighting positive contributions to employees' quality of life and well-being.

This study builds on the arguments of Meijman and Mulder (1998) regarding the use of ERM. ERM has been applied predominantly to job satisfaction, mental health, and academic experiences (Wu et al., 2020a, b). According to Wu et al. (2020a, b), ERM underscores the importance of employees taking periodic work breaks to maintain optimal productivity. This finding also suggests that shorter breaks are more beneficial than longer ones. ERM posits that intense work can lead to mental strain and exhaustion, resulting in adverse load reactions that are usually reversible during recovery times (Meijman and Mulder, 1998). However, insufficient psychological and physiological recovery may lead to the ongoing depletion of resources, increasing workload reactions over time and potentially causing long-term health problems and emotional burnout (Sonnentag and Fritz, 2007). Employees who engage in recovery activities outside work hours might return to their stressed emotional and physical states (She and Li, 2023). According to Herhausen et al. (2023), social media use is a minor effort–recovery action that can replenish resources during free time. This study argues that social cyberloafing in SMEs is positively associated with employee recovery experiences through psychological detachment, relaxation, mastery, and control during leisure time. It also promotes employees' social sustainability, a core aspect of Society 5.0.

Lim (2002) first coined cyberloafing as “the voluntary act of employees using their organizational internet during office hours to surf non-job-related websites for personal purposes.” Several terms, such as cyberbludging, cyberslacking, and online loafing, describe similar behavior (Derin and Gökçe, 2016). Wu et al. (2020a, b) expanded this aspect to social activities and defined social cyberloafing as employees using private or organizational IT resources in the workplace to engage in social media activities. In the literature, cyberloafing has been studied with different variables, such as academic performance (Lim and Teo, 2024), employee mental health (Korzynski and Protsiuk, 2024), creativity (Bhattacharjee and Sarkar, 2024), job burnout, and innovative work behavior (Tsai, 2023). Most studies have highlighted its adverse effects, such as diminished organizational productivity, information security breaches, and abusive supervision. At the behavioral level, it can also trigger negative emotions and psychological stress (Zhang et al., 2024) and reduce work engagement (O'Neill et al., 2014). However, not all researchers in the field share such a negative view of cyberloafing. A small or moderate level of cyberloafing is not harmful (Ohana et al., 2024); it can help achieve good academic performance and mental health, reduce workplace aggression and innovative work behavior, and increase employee productivity (She and Li, 2023).

Employees' tendency to engage in cyberloafing continues to grow as ICT development and lower costs make the Internet more readily available. However, cyberloafing can occur in many ways, and the outcomes vary greatly (Tan et al., 2024a, b). The influence of social cyberloafing on employees is a noteworthy concern, considering its broad popularity among young individuals (Hu et al., 2023). Akar and Coskun (2020) reported a positive and significant relationship between instructors' mental creativity and various types of cyberloafing conduct. Andel et al. (2019) suggested that moderate cyberloafing can act as a coping mechanism and reduce exposure to workplace aggression.

This study links social cyberloafing with employees’ social sustainability, one of the critical elements of Society 5.0, which refers to a mechanism for developing places that foster sustainable well-being and success through an awareness of the needs of people living and working in places (Woodcraft et al., 2012). Society 5.0, which focuses on human well-being, has gained prominence among policymakers and scholars. Polese and Stren (2000) termed it a development that promotes a high quality of life for everyone in society, regardless of social and cultural background. This notion came from the Japanese government intending to achieve a long-term balance between the environment, people, economy, and technology (Yao et al., 2024). Traditionally, techno-driven outcomes have contributed to social progress. Society 5.0 focuses on establishing a culture that gives people a sense of worth and well-being. In the same vein, Potočan et al. (2021) and Abbas (2025) argued that Society 5.0 strengthens the social perspective of corporate social responsibility (CSR) in addressing critical social issues in the digital era, such as comfortable living for humans, a reduction in medical costs, and automated health care. Thus, Society 5.0 prioritizes societal needs at the center of a comprehensive technological and scientific advancement approach (Figure 1).

Figure 1
A figure depicts the relationships between the research variables, with hypotheses labeled on arrows.The figure starts with a text box positioned in the center left, labeled “Social Cyberloafing”. A rightward arrow labeled “H 1” points from this text box to another text box positioned in the center right, labeled “Social Sustainability”. Additionally, a dashed rectangle, labeled “Technological Recovery Experiences”, is positioned at the center. The rectangle contains four smaller text boxes arranged in a vertical series. From top to bottom, the text boxes are labeled as follows: “Psychological Detachment”, “Relaxation”, “Mastery Experiences”, and “Control During Leisure Time”. The label “H 4 a, b, c, d (Mediation)” is placed below “Technological Recovery Experiences”. Individual rightward arrows labeled “H 2 a”, “H 2 b”, “H 2 c”, and “H 2 d” point from “Social Cyberloafing” to “Psychological Detachment”, “Relaxation”, “Mastery Experiences”, and “Control During Leisure Time”, respectively. Further, individual rightward arrows labeled “H 3 a”, “H 3 b”, “H 3 c”, and “H 3 d” point from “Psychological Detachment”, “Relaxation”, “Mastery Experiences”, and “Control During Leisure Time”, respectively to “Social Sustainability”.

Research framework. Source: Figure created by authors

Figure 1
A figure depicts the relationships between the research variables, with hypotheses labeled on arrows.The figure starts with a text box positioned in the center left, labeled “Social Cyberloafing”. A rightward arrow labeled “H 1” points from this text box to another text box positioned in the center right, labeled “Social Sustainability”. Additionally, a dashed rectangle, labeled “Technological Recovery Experiences”, is positioned at the center. The rectangle contains four smaller text boxes arranged in a vertical series. From top to bottom, the text boxes are labeled as follows: “Psychological Detachment”, “Relaxation”, “Mastery Experiences”, and “Control During Leisure Time”. The label “H 4 a, b, c, d (Mediation)” is placed below “Technological Recovery Experiences”. Individual rightward arrows labeled “H 2 a”, “H 2 b”, “H 2 c”, and “H 2 d” point from “Social Cyberloafing” to “Psychological Detachment”, “Relaxation”, “Mastery Experiences”, and “Control During Leisure Time”, respectively. Further, individual rightward arrows labeled “H 3 a”, “H 3 b”, “H 3 c”, and “H 3 d” point from “Psychological Detachment”, “Relaxation”, “Mastery Experiences”, and “Control During Leisure Time”, respectively to “Social Sustainability”.

Research framework. Source: Figure created by authors

Close modal

Social sustainability is one of the critical factors that can lead to opportunities for a sustainable future (Mostafa and El-Gohary, 2014). According to Post (2014), a person’s quality of life is determined by how well their competencies or lifestyle enable them to fulfill their wants, values, and objectives. Prior studies have measured social sustainability mainly regarding quality of life and well-being. From the social cyberloafing perspective, workers in the modern era who are given brief periods to interact with one another online have the potential to improve health by reducing stress, increasing social connections, and so on (Corvello et al., 2022). By acknowledging the advantages of social cyberloafing, we can help design workplaces that cater to employees' social needs without sacrificing productivity; this is essential in Society 5.0, which emphasizes human-centered approaches to technology (Gil-Cordero et al., 2024; Kim et al., 2023). Consequently, there may be new ways to improve employee health and create healthier work environments in SMEs in the digital age if we investigate the connection between social cyberloafing and social sustainability. Thus, it is postulated that:

H1.

Social cyberloafing significantly and positively affects employees’ social sustainability.

In the techno-driven era, recovery experiences (RE) during work promote positive outcomes by replenishing individual resources and reducing job-related tension (Sonnentag and Natter, 2004). It can be defined as an individual’s perception that the activity they pursue helps restore their resources (Headrick et al., 2023). Sonnentag and Fritz (2007) classified RE into four sub-variables: relaxation, mastery experiences, control over leisure time, and psychological detachment. Psychological detachment refers to an individual’s disengagement from work physically and mentally (Alsuwailem and Freeney, 2024). Relaxation is generally linked to leisure activities, including physical and mental activities such as light walks and music (Trzebiatowski, 2023). Mastery experiences involve pursuing opportunities for learning outside of the work environment and experiencing challenging situations (Yeh et al., 2019). Finally, control during leisure time highlights the degree to which individuals select what to do during their free time and when and how to do it (Tan et al., 2024a, b).

Scholars have studied recovery experiences with various exogenous and endogenous constructs and noted mixed results. For example, Krampitz et al. (2023) examined the linkages between online leadership training, skills, and three recovery experiences (control of leisure time, relaxation, and detachment). They affirmed that relaxation and detachment are significantly associated with online leadership training. Arnold et al. (2023) examined the daily trajectories of evening recovery experiences and their role in the next-day mood in the employee context. They concluded that recovery experiences positively reshaped employees’ attitudes and behavior towards colleagues and designated tasks. Majcen et al. (2023) linked recovery experiences with work engagement through the mediating role of emotions at work in Croatian employees. Positive emotions mediate the relationship between recovery experiences and work engagement. Specifically, positive emotions significantly enhanced work engagement when recovery was measured as developing mastery experiences, relaxation, and high control over leisure time. However, the relationship between relaxation and work engagement was found to be influenced solely by negative emotions.

Given the established link between recovery experiences and work outcomes, it is essential to consider how various work-related stressors and coping mechanisms may influence these experiences. Kariv (2008) conducted a study on Israeli entrepreneurs and stated that positive stress enhances business turnover, while negative stress hinders it; the interplay of gender with social support and role conflict amplifies the individual effects of each stressor on business turnover, while coping strategies, such as psychological detachment and relaxation, have been shown to buffer the negative effects of stress (Demirtepe-Saygılı and Metin-Orta, 2021). Bhattacharjee and Sarkar (2024) found that excessive cyberloafing can reduce work productivity and stress, which may limit its potential to serve as a recovery experience. Additionally, Zhou et al. (2023) suggested that cyberloafing can cause feelings of guilt or anxiety, as employees perceive time spent on non-work-related activities as a waste, which can ultimately hinder psychological detachment.

This study argues that social cyberloafing in SMEs provides employees with a temporary respite from the stressors associated with their work. Perusing social media or watching entertaining videos can offer employees a much-needed respite, allowing them to unwind and mentally detach from their work, which is crucial for overall well-being and recovery (Centobelli et al., 2022). Moreover, the diverse range of online content enables individuals to participate in activities that correspond to their interests, cultivating a feeling of mastery and competence. As individuals traverse various online platforms, they may come across chances to acquire fresh skills or knowledge, which can foster a sense of achievement. Social cyberloafing allows employees to enjoy leisure time while at work, relaxing and recovering amidst their professional obligations (Gil-Cordero et al., 2024). By facilitating these recovery experiences, engaging in social cyberloafing can significantly impact employees' overall well-being and mitigate the risk of burnout. This view is further supported by Tandon et al. (2022), who emphasized the dual role of cyberloafing in workplaces as both a potential source of distraction and a recovery tool for employees, depending on the context and extent of engagement. Thus, we postulate the following:

H2a.

Social cyberloafing is a significant positive predictor of employees’ psychological detachment at work.

H2b.

Social cyberloafing is a significant positive predictor of employees’ relaxation at work.

H2c.

Social cyberloafing positively relates to employees’ mastery experiences at work.

H2d.

Social cyberloafing is a significant positive predictor of employees’ control during leisure time at work.

According to ERM, putting resources into work-related duties produces stress effects, indicating resource depletion (Meijman and Mulder, 1998). To re-energize and prepare for new challenges, employees engage in activities during office downtime that differ from their job duties, referred to as below-baseline activities or recovery experiences (Sonnentag and Fritz, 2007). Sonnentag and Fritz (2007) validated the concept of recovery experiences via a four-factor framework: psychological detachment, relaxation, mastery experiences, and control over leisure time. Psychological detachment is an individual’s psychological separation from work-related activities that generates a sense of separation from work (Majcen et al., 2023). This separation extends physical absence during off-work hours and refraining from work responsibilities. Prior studies highlight that psychological detachment is associated with decreased feelings of depression, a next-day pleasant mood (Arnold et al., 2023), leadership training (Krampitz et al., 2023), reduced psychological distress, work engagement (Liu et al., 2023; Majcen et al., 2023), and working mothers’ boundary conditions (Trzebiatowski, 2023).

In addition to psychological separation from work, relaxation is another way to cope with work-related stress. Employees can recover by relaxing during their free time, whether through intentional endeavors such as meditation or low-activation hobbies (reading a book or walking) (Sonnentag et al., 2023). These hobbies do not demand any social, physical, or intellectual effort, but they are both mentally and physically beneficial (Headrick et al., 2023). Relaxation has been linked to lower levels of emotional tiredness, higher levels of morning tranquility, and the ability to forecast favorable feelings at work (Majcen et al., 2023). It has also been linked with online self-leadership training (Krampitz et al., 2023), work engagement (Majcen et al., 2023), next-day moods (Arnold et al., 2023), and psychological distress.

Mastery experiences indicate educational or challenging activities outside the workplace that motivate employees and distract them from their routine work (Trzebiatowski, 2023). According to Arnold et al. (2023), mastery experiences do not affect next-day mood states. However, Majcen et al. (2023) described mastery experiences as negatively linked with negative emotions and positively related to work engagement. Control over leisure or leisure control is another factor related to recovery experiences. It is related to people’s self-directed leisure activities, which stimulate enjoyment and compensate for any powerlessness they may have experienced at work (Majcen et al., 2023). The leisure control construct stimulates workers’ boundary conditions (Trzebiatowski, 2023), work engagement (Majcen et al., 2023), and online self-leadership training (Krampitz et al., 2023).

This study links employees’ recovery experiences with their social sustainability. It is argued that when people can mentally distance themselves from stressors at work and participate in activities that encourage relaxation and personal growth, they feel greater control over their free time. Employees can manage their work and personal lives with enhanced power, improving well-being and job satisfaction. In addition, organizations can bolster social unity and establish a culture characterized by shared regard and comprehension by cultivating a nurturing atmosphere that promotes employees' focus on their recovery. Therefore, by acknowledging and appreciating the significance of recovery experiences, organizations can enhance the social sustainability of their workforce, ultimately resulting in better individual and organizational outcomes. Thus, the following hypotheses are proposed:

H3a.

Psychological detachment is significantly positively related to employees’ social sustainability.

H3b.

Relaxation has a significant and positive relationship with employees’ social sustainability.

H3c.

Mastery experience is a significant positive predictor of employees’ social sustainability.

H3d.

Control during leisure is positively associated with employees’ social sustainability.

Building on prior debates along with ERM, we propose a mediating effect in which employees' participation in social cyberloafing promotes social sustainability through enhanced recovery experiences. Social cyberloafing, when combined with recovery experiences such as psychological detachment and relaxation, aids in employees' mental health recovery (Headrick et al., 2023). During the COVID-19 pandemic, recovery experiences, such as psychological detachment, relaxation, mastery, and control, during leisure time, were effectively linked to physical exercise and general well-being. Thus, we suggest the following hypotheses.

H4a.

The relationship between social cyberloafing and employees’ social sustainability is positively mediated by psychological detachment.

H4b.

Relaxation positively mediates the relationship between social cyberloafing and employees’ social sustainability.

H4c.

Mastery experience positively mediates the relationship between social cyberloafing and employees’ social sustainability.

H4d.

Control during leisure time positively mediates the relationship between social cyberloafing and employees’ social sustainability.

An online and self-administered survey questionnaire approach was employed to collect the data. The study population comprises employees working in Turkey’s manufacturing and services SMEs. A nonprobability convenience sampling technique was used to reach the study population. The G*Power technique was adopted to determine the sample size. Before data collection, both pretesting and pilot test steps were performed. Initially, 934 individuals were approached to share their opinions, two hundred seventy (270) of whom completed the survey, with 254 questionnaires being fully completed and retained for further analysis, for a response rate of 28.9%. The sample comprises 52% (133) male and 47.84% (121) female employees. Most respondents had a master’s degree (61%), as reported in Table 1.

Table 1

Demographic statistics (N = 254)

VariableElementfPercentage (%)
Age20–308533.47%
31–4011043.32%
41–504919.31%
≥51103.9%
GenderMale14155.51%
Female10942.91%
Undisclosed041.5%
EducationPre-Bachelor197.47%
Bachelor4015.75%
Master15561.03%
Post Master4015.75%
PositionNon-Managerial9838.58%
Junior Manager7328.74%
Middle Manager6224.41%
Senior Manager218.27%
Work experienceUp to 5 years9838.58%
6–10 years13051.18%
≥10 years2610.24%
Duration (time spent on the internet every day)Up to 1 h155.91%
2–4 h14858.27%
5–6 h7027.56%
≥6 h218.26%

Source(s): Table created by authors

The multi-item scales were adapted from different studies to measure social cyberloafing, recovery experiences, and social sustainability. A seven-item scale was adapted from Wu et al. (2020a, b) to measure social cyberloafing. The four dimensions of recovery experience were measured using sixteen items adapted from Sonnentag and Fritz (2007). Finally, social sustainability was measured using five items developed by McDonald-Miszczak and Wister (2005) and further refined by Wu et al. (2020a, b). All the items were measured on a 5-point Likert scale (1 = never, 5 = always).

The mean value of the studied constructs ranged from 3.34 to 3.93, except for social cyberloafing, which was 4.06. The standard deviation (Std. Dev.) of all the indicators is less than 1. Finally, the kurtosis values are within acceptable limits. Common method bias (CMB), a common challenge in primary data research (Ali and Johl, 2023), occurs when a singular methodology is employed to gather data for numerous variables within a study. Using just one method can unintentionally impact the findings, resulting in an exaggerated correlation between the variables. A Harmon single-factor test was performed to examine this aspect, which indicated that the highest covariance explained by a single factor was 32.31%, less than the threshold value of 50%; thus, CMB is considered nonexistent (Podsakoff et al., 2003). Table 2 presents the descriptive statistics of the study variables.

Table 2

Descriptive statistics

ConstructsMeanStd. dev.KurtosisSkewness
Social Cyberloafing4.060.920.53−1.25
Psychological Detachment3.930.87−0.18−1.14
Relaxation3.860.91−0.18−1.12
Mastery Experiences3.910.87−0.16−1.08
Control during leisure time3.920.94−0.20−1.13
Social Sustainability3.340.90−0.54−0.76

Source(s): Table created by authors

For reliability statistics, Cronbach’s alpha (α) and rho_A statistics were reported with thresholds greater than or equal to 0.70 (Magno et al., 2022). The average variance extracted (AVE) was examined for convergent validity. Table 3 indicates that the AVE values of all the study constructs are greater than 0.5, indicating that the study variables achieve the threshold limit of the AVE (Hair et al., 2022). Moreover, item loading statistics were also reported, and all the loadings were above the threshold value (≥0.70) (Hair et al., 2019).

Table 3

Construct reliability and convergent validity

ConstructsLoadingsReliabilityAVE
Cronbach’s αrho_A
Social Cyberloafing (SC)SC10.8190.8300.8330.705
SC20.832
SC30.827
SC40.820
SC50.831
SC60.886
SC70.858
Recovery experiencesPD10.8160.9100.9110.827
PD20.900
PD30.821
PD40.901
RX10.9030.8310.8320.829
RX20.905
RX30.814
RX40.820
ME10.9130.8940.8960.815
ME20.889
ME30.895
ME40.903
CLT10.8160.8380.8390.843
CLT20.810
CLT30.821
CLT40.824
Social SustainabilitySS10.9040.8940.8950.830
SS20.825
SS30.910
SS40.916
SS50.899

Source(s): Table created by authors

In analyzing the measurement model, discriminant validity analyses ensure that each construct captures an independent phenomenon and remains statistically distinct (Hair et al., 2019). Typically, cross-loading and the Fornell–Larcker criterion are used for this purpose; however, they overestimate discriminant validity (Hair et al., 2019). Instead, Hair et al. (2019) advocated using the Heterotrait–Monotrait correlation ratio (HTMT) for discriminant validity analysis, which is more reliable. Ideally, the HTMT threshold value is frequently less than 0.85 for unique constructs and less than 0.90 for identical ones. However, Franke and Sarstedt (2019) proposed an acceptable cut-off value of less than 0.90 for HTMT in general. The HTMT values are shown in Table 4.

Table 4

Discriminant validity statistics through the HTMT

Variables(a)(b)(c)(d)(e)(f)
SC (a)      
PD (b)0.754     
RX (c)0.7340.767    
ME (d)0.7620.6410.669   
CLT (e)0.7480.8560.6920.750  
SS (f)0.7970.7140.8780.8550.879 

Source(s): Table created by authors

Next, the association between social cyberloafing and social sustainability (H1) was evaluated, and the structural model revealed a significant positive relationship between them, with β = 0.750, t value = 25.085, and p < 0.05. Next, the relationships between social cyberloafing and different constructs of recovery experience were examined. The relationship between social cyberloafing and psychological detachment (H2a) presented a positive and significant outcome, with β = 0.703, t value = 16.964, p < 0.05. Likewise, for relaxation (H2b), the analysis presented β = 0.684, t value = 15.294, and p < 0.05 findings. For mastery experience (H2c), the study presented β = 0.707, t value = 17.779, and p < 0.05 findings. Finally, for leisure time (H2d), social cyberloafing presented β = 0.700, t value = 16.412, and p < 0.05 findings. Next, the impact of recovery experiences on social sustainability was studied. The impact of psychological detachment on social sustainability presented (H3a) β = 0.534, t-value = 7.694, and p < 0.05. Likewise, relaxation (H3b) presented β = 0.285, t value = 2.409, and p < 0.05 values, and mastery experience (H3) presented a negative association with social sustainability, with β = −0.007, t value = 0.070, and p = 0.944. Similar findings regarding control over leisure time and social sustainability were observed, with β = −0.125, t value = 0.950, and p = 0.332. Hence, Hypotheses H2a, H2b, H2c, H2d, H3a and H3b were supported and accepted. H3c and H3d were not significant and were rejected. Table 5 presents the statistics of the research hypotheses.

Table 5

Structural model and direct effect

Relationβ-valuet valuef2CI (2.05%–97.5%)Decision
H1SC → SS0.2725.2960.163(0.172–0.372)Supported
H2aSC → PD0.70316.9640.975(0.621–0.779)Supported
H2bSC → RX0.68415.2940.881(0.590–0.769)Supported
H2cSC → ME0.70717.7790.321(0.627–0.778)Supported
H2dSC → CLT0.70016.4120.251(0.610–0.777)Supported
H3aPD → SS0.5347.6940.163(0.398–0.662)Supported
H3bRX → SS0.2852.4090.028(0.100–0.544)Supported
H3cME → SS−0.0070.0700.001(−0.175–0.199)Rejected
H3dCLT → SS−0.1250.9500.004(−0.426–0.081)Rejected

Source(s): Table created by authors

Table 6 demonstrates the indirect relationship between social cyberloafing and social sustainability through recovery experiences. It highlights that psychological detachment and relaxation positively mediate the relationship between social cyberloafing and social sustainability, with β = 0.375 and β = 0.195, respectively, suggesting the acceptance of H5a and H4c. In contrast, the results for masterly experience and control during leisure time are insignificant, suggesting the rejection of H4b and H4d. The variance accounting (VAF) approach was followed to calculate the mediation type and magnitude, as shown in Table 7. According to Hair et al. (2019), a value of VAF less than 20% represents no mediation. Above 20% but below 80%, VAF represents partial mediation, and a value above 80% indicates full mediation. The VAF value indicates that psychological detachment (58%) and relaxation (42%) partially mediate the relationship between social cyberloafing and social sustainability. Finally, Figure 2 shows the PLS path model.

Figure 2
A figure depicts the results of the analysis of the research model with path coefficients labeled on arrows.The figure depicts six circles. A circle labeled “S C” is positioned in the center-left. Two circles labeled “P D” with an inner value of “0.494” and “R X” with an inner value of “0.468” are arranged in a horizontal series at the top. Additionally, two circles labeled “M E” with an inner value of “0.500” and “C L T” with an inner value of “0.490” are arranged in a horizontal series at the bottom. The last circle labeled “S S” with an inner value of “0.789” is positioned in the center right. From “S S”, individual rightward arrows labeled “0.703”, “0.684”, “0.272”, “0.700”, and “0.707” point to “P D”, “R X”, “S S”, “C L T”, and “M E”, respectively. Individual arrows labeled “0.534”, “0.285”, “negative 0.125”, and “negative 0.007” point from “P D”, “R X”, “C L T”, and “M E”, respectively, to “S S”. From “S C”, seven leftward arrows point at individual rectangles arranged in a vertical series on the left side of the circle. From top to bottom, the rectangles are labeled “S C 1” through “S C 7”. The arrows are labeled “0.819”, “0.832”, “0.827”, “0.820”, “0.831”, “0.886”, and “0.858”, respectively. From “P D”, four upward arrows point at individual rectangles arranged in a horizontal series on top of the circle. From left to right, the rectangles are labeled “P D 1” through “P D 4”. The arrows are labeled “0.916”, “0.900”, “0.921”, and “0.921”, respectively. From “R X”, four upward arrows point at individual rectangles arranged in a horizontal series on top of the circle. From left to right, the rectangles are labeled “R X 1” through “R X 4”. The arrows are labeled “0.903”, “0.905”, “0.914”, and “0.920”, respectively. From “M E”, four downward arrows point at individual rectangles arranged in a horizontal series below the circle. From left to right, the rectangles are labeled “M E 1” through “M E 4”. The arrows are labeled “0.913”, “0.889”, “0.895”, and “0.913”, respectively. From “C L T”, four downward arrows point at individual rectangles arranged in a horizontal series below the circle. From left to right, the rectangles are labeled “C L T 1” through “C L T 4”. The arrows are labeled “0.916”, “0.910”, “0.921”, and “0.924”, respectively. From “S S”, five rightward arrows point at individual rectangles arranged in a vertical series on the right side of the circle. From top to bottom, the rectangles are labeled “S S 1” through “S S 5”. The arrows are labeled “0.904”, “0.925”, “0.910”, “0.916”, and “0.899”, respectively.

PLS-path model. Source: Figure created by authors

Figure 2
A figure depicts the results of the analysis of the research model with path coefficients labeled on arrows.The figure depicts six circles. A circle labeled “S C” is positioned in the center-left. Two circles labeled “P D” with an inner value of “0.494” and “R X” with an inner value of “0.468” are arranged in a horizontal series at the top. Additionally, two circles labeled “M E” with an inner value of “0.500” and “C L T” with an inner value of “0.490” are arranged in a horizontal series at the bottom. The last circle labeled “S S” with an inner value of “0.789” is positioned in the center right. From “S S”, individual rightward arrows labeled “0.703”, “0.684”, “0.272”, “0.700”, and “0.707” point to “P D”, “R X”, “S S”, “C L T”, and “M E”, respectively. Individual arrows labeled “0.534”, “0.285”, “negative 0.125”, and “negative 0.007” point from “P D”, “R X”, “C L T”, and “M E”, respectively, to “S S”. From “S C”, seven leftward arrows point at individual rectangles arranged in a vertical series on the left side of the circle. From top to bottom, the rectangles are labeled “S C 1” through “S C 7”. The arrows are labeled “0.819”, “0.832”, “0.827”, “0.820”, “0.831”, “0.886”, and “0.858”, respectively. From “P D”, four upward arrows point at individual rectangles arranged in a horizontal series on top of the circle. From left to right, the rectangles are labeled “P D 1” through “P D 4”. The arrows are labeled “0.916”, “0.900”, “0.921”, and “0.921”, respectively. From “R X”, four upward arrows point at individual rectangles arranged in a horizontal series on top of the circle. From left to right, the rectangles are labeled “R X 1” through “R X 4”. The arrows are labeled “0.903”, “0.905”, “0.914”, and “0.920”, respectively. From “M E”, four downward arrows point at individual rectangles arranged in a horizontal series below the circle. From left to right, the rectangles are labeled “M E 1” through “M E 4”. The arrows are labeled “0.913”, “0.889”, “0.895”, and “0.913”, respectively. From “C L T”, four downward arrows point at individual rectangles arranged in a horizontal series below the circle. From left to right, the rectangles are labeled “C L T 1” through “C L T 4”. The arrows are labeled “0.916”, “0.910”, “0.921”, and “0.924”, respectively. From “S S”, five rightward arrows point at individual rectangles arranged in a vertical series on the right side of the circle. From top to bottom, the rectangles are labeled “S S 1” through “S S 5”. The arrows are labeled “0.904”, “0.925”, “0.910”, “0.916”, and “0.899”, respectively.

PLS-path model. Source: Figure created by authors

Close modal
Table 6

Indirect effects

RelationshipβT-statisticsCI [2.50–97.50]p-value
SC → PD → SS0.3758.274[0.277–0.469]0.000
SC → RX → SS0.1952.838[0.091–0.346]0.007
SC → ME → SS−0.0050.08[−0.097–0.190]0.936
SC → CLT → SS−0.0881.148[−0.300–0.001]0.256

Source(s): Table created by authors

Table 7

Mediation analysis

Direct effectCoefficientBootstrap 90% CI
PercentileBC
Lower (5%)Upper (95%)Lower (5%)Upper (95%)
C`0.272Sig0.1860.3560.1870.357
a10.703Sig0.6320.7680.6310.767
a20.684Sig0.6100.7550.6090.754
b10.534Sig0.4160.6440.4160.644
b20.285Sig0.1300.5180.1110.499
Indirect effectPoint estimatePercentileBCVAF
Lower (5%)Upper (95%)Lower (5%)Upper (95%)
a1×b10.375Sig0.2840.4680.2840.07658%
a2×b20.195Sig0.0880.3570.4670.34442%
Total Indirect effect0.5700.3720.8250.7510.420 

Source(s): Table created by authors

Importance–performance map analysis (IPMA), often called importance-performance matrix analysis, is used to develop an in-depth understanding of the relationships between constructs in a model. This approach goes beyond typical PLS-SEM analysis by considering the importance and performance of constructs. Importance indicates the absolute total influence of the final endogenous construct, while performance indicates the size of a latent variable’s score. In Figure 3, the vertical axis shows the performance of the endogenous variable (social sustainability), and the horizontal axis shows the level of importance. Following the approach of Leong et al. (2019), the study partitioned the IPMA chart into four sectors. As shown in Figure 3, social cyberloafing has the highest importance (75%) and performance above 70%, followed by psychological detachment. Both constructs fall into sector 1. None of the factors fall into sectors 2 and 3. In sector 4, mastery experience and control during leisure are the least important in this study context. Hence, the IPMA results confirm that social cyberloafing, psychological detachment, and relaxation are stronger predictors of social sustainability.

Figure 3
A scatter plot titled “Importance-Performance Map”, showing the relationship between “S S” and “Total Effects”.The vertical axis is labeled “S S” and ranges from 0 to 90 in increments of 10 units. The horizontal axis is labeled “Total Effects” and ranges from negative 0.15 to 0.75 in increments of 0.05 units. A legend at the bottom indicates that five factors are marked on the plot, labeled as follows: a square labeled “C L T”, an oval labeled “M E”, a triangle labeled “P D”, a diamond labeled “R X”, and a rectangle labeled “S C”. A solid vertical line starting from Total Effects equals 0.50 runs parallel to the vertical axis and spans the plot. A solid horizontal line starting from S S equals 50 runs parallel to the horizontal axis and spans the plot. The two lines divide the plot into four quadrants. The top left quadrant is labeled “Sector 1” and contains the following: “P D” at (0.536, 65.69) and “S C” at (0.75, 76.552). The bottom right and bottom left quadrants are labeled “Sector 2” and “Sector 3”, respectively, and do not contain any factors. The top left quadrant is labeled “Sector 4” and contains the following: “C L T” at (negative 0.126, 72.931), “M E” at (negative 0.017, 72.931), and “R X” at (0.281, 70.862). Note: All numerical data values are approximated.

Importance-performance map analyses (IPMA). Source: Figure created by authors

Figure 3
A scatter plot titled “Importance-Performance Map”, showing the relationship between “S S” and “Total Effects”.The vertical axis is labeled “S S” and ranges from 0 to 90 in increments of 10 units. The horizontal axis is labeled “Total Effects” and ranges from negative 0.15 to 0.75 in increments of 0.05 units. A legend at the bottom indicates that five factors are marked on the plot, labeled as follows: a square labeled “C L T”, an oval labeled “M E”, a triangle labeled “P D”, a diamond labeled “R X”, and a rectangle labeled “S C”. A solid vertical line starting from Total Effects equals 0.50 runs parallel to the vertical axis and spans the plot. A solid horizontal line starting from S S equals 50 runs parallel to the horizontal axis and spans the plot. The two lines divide the plot into four quadrants. The top left quadrant is labeled “Sector 1” and contains the following: “P D” at (0.536, 65.69) and “S C” at (0.75, 76.552). The bottom right and bottom left quadrants are labeled “Sector 2” and “Sector 3”, respectively, and do not contain any factors. The top left quadrant is labeled “Sector 4” and contains the following: “C L T” at (negative 0.126, 72.931), “M E” at (negative 0.017, 72.931), and “R X” at (0.281, 70.862). Note: All numerical data values are approximated.

Importance-performance map analyses (IPMA). Source: Figure created by authors

Close modal

The current study provides mixed results. For instance, the analysis of the relationship between social cyberloafing and social sustainability indicated a positive and significant association, leading to the acceptance of H1 that social cyberloafing has a positive association with SME employees’ social sustainability. This result is in line with Zhang et al.'s (2023) premise that technological advancements positively impact the personal social well-being of Chinese youth. With the ever-growing presence of technology in our lives, it is unsurprising that employees are increasingly drawn to online social interactions while on the clock. In Society 5.0, which places great importance on the fusion of technology and solutions that prioritize human well-being, social cyberloafing can be seen as a way for employees to satisfy their social needs and stay connected with their social circles. Social cyberloafing can foster employees' sense of connectedness, belonging, and social support in small firms through online social interactions, ultimately contributing to their overall social sustainability.

This study also hypothesizes that social cyberloafing positively correlates with four technological recovery experience constructs: psychological detachment, relaxation, mastery experience, and control during leisure time. The positive correlation between social cyberloafing and these recovery experiences is grounded in the broader theoretical framework of recovery theory, which posits that individuals must engage in restorative activities to mitigate work stress and maintain well-being (Sonnentag and Fritz, 2007). By positioning cyberloafing as a recovery mechanism, this study aligns with the view that digital leisure activities can restore cognitive resources, providing a reprieve from work pressures and promoting positive well-being. This finding indicates that social cyberloafing positively correlates with psychological detachment (H2a), which aligns with the findings of Majcen et al. (2023). According to Majcen et al. (2023), psychological elements at work contribute to Croatian employees' involvement at work. Likewise, Gellmers and Yan (2023) argued that the resource recovery process is positively associated with digital leisure at the workplace which further enhances employee well-being. Social cyberloafing appears to function as a means for employees to mentally disengage from their professional obligations. By disengaging from work pressures, individuals can enjoy tranquility and cognitive revitalization, positively impacting their general welfare and mental state. Social cyberloafing can help certain individuals detach psychologically; its effectiveness can differ based on personal preferences, the work environment, and individual characteristics.

Similarly, social cyberloafing presented a positive and significant association with relaxation (H2b), which corroborates the findings of Krampitz et al. (2023) and contradicts the arguments of Majcen et al. (2023) that relaxation does not predict employee engagement. Acosta-Prado et al. (2022) reported that to achieve prestress states and promote body recovery, relaxation is essential for reducing stress, and the findings of the current study suggest that social cyberloafing provides employees with a valuable opportunity for relaxation while at work. Employees can temporarily distance themselves from work pressures through social cyberloafing, providing a much-needed respite. This, in turn, creates an atmosphere that is more relaxed and conducive to productivity. Building on the work of Demirtepe-Saygılı and Metin-Orta (2021), it is crucial to note that the extent to which cyberloafing enhances relaxation may vary depending on the individual’s coping style and the type of cyberloafing activity they engage in, emphasizing the need for a more nuanced understanding of this behavior.

The analysis of the impact of social cyberloafing on mastery experience (H2c) and leisure control (H2d) also revealed significant positive results, which aligns with the findings of Trzebiatowski (2023) and Zhang et al. (2024). For instance, Zhang et al. (2024) contend that minor cyberloafing through digital technologies significantly promotes work-related factors and job satisfaction in China. These findings highlight the complex nature of workplace behavior and its outcomes. Mastery experiences occur when individuals feel a deep sense of accomplishment or competence in their tasks or roles (Majcen et al., 2023). This finding implies that engaging in social cyberloafing can act as a catalyst for cultivating mastery experiences among employees, as cyberloafing is commonly perceived as a means of diverting attention or engaging in unproductive activities while at work; this concept may appear paradoxical. However, when employees engage in activities such as learning new skills or gaining professional insights through online content, social cyberloafing can act as a form of “micro-learning” that fosters personal growth and professional mastery. This is consistent with “learning through leisure” (Tan et al., 2024a, b), where employees may gain new competencies without formally engaging in work-related tasks.

However, the social interactions and information exchange enabled by cyberloafing platforms can offer employees valuable chances to acquire knowledge, share insights, and cultivate new abilities. The findings suggest that engaging in online forums or discussion groups about their profession can provide employees with various viewpoints and valuable knowledge, ultimately increasing their expertise and confidence in their chosen field (Ferreira et al., 2024). Likewise, the association between social cyberloafing and leisure time at work suggests that employees find these activities enjoyable or fulfilling while on the job. Instead of perceiving cyberloafing solely as a method to evade work-related stress or monotony, employees may partake in these activities to unwind and rejuvenate, enhancing their overall sense of well-being and job contentment. This reaffirms the argument that cyberloafing can serve as a beneficial coping mechanism, especially when individuals engage in activities that promote psychological recovery and professional development.

Analyzing the effects of recovery experiences on employees’ social sustainability presented mixed results. Psychological detachment and relaxation had significant positive impacts, whereas the results of mastery experience and control during leisure time were insignificant. Psychological detachment is crucial in promoting social sustainability by allowing individuals to effectively disconnect from work-related thoughts and concerns during their leisure time, aligning with Alsuwailem and Freeney’s (2024) study. This finding indicates that individuals who can disconnect from the work experience improve their social well-being, potentially because they have fewer work-related stressors that can disrupt their social interactions or relationships. Similarly, the significance of taking time to relax and unwind becomes apparent when its impact on social sustainability is considered. This finding suggests that individuals who participate in activities that restore their energy and well-being also tend to develop stronger social connections and support networks. This confirms the findings of Trzebiatowski (2023), who reported that relaxation at work plays a critical role in employees’ quality of life. On the other hand, the insignificant impact of mastery, expertise, and control during leisure time on social sustainability implies that although these factors may enhance personal happiness or contentment, they may not directly result in improved workplace social dynamics or relationships. Engaging in leisure activities that bring a sense of competence or accomplishment can significantly contribute to personal fulfillment, with a focus on individual growth rather than social interactions. Similarly, the level of control individuals have over their free time may not necessarily align with their social sustainability. In this context, Lee and Roh (2023) suggested that other factors may more significantly influence social dynamics in the workplace. Haseeb et al. (2019) claimed that digital technologies are vital in promoting sustainable performance among Thai SMEs.

The study also examines the mediating role of recovery experiences between social cyberloafing and social sustainability. The mediation analysis revealed that psychological detachment and relaxation partially mediated the relationship between social cyberloafing and social sustainability, confirming H4a and H4b. Brummelhuis and Bakker (2012) supported these findings and reported that creating a relaxed environment at work mediates off-job activities and next-day work engagement. Likewise, Ding et al. (2020) argued that recovery experiences partially mediate the relationship between resilience and quality of life among Chinese physicians. On the other hand, mastery experiences and leisure for control play no mediating role in social cyberloafing or social sustainability; thus, H4c and H4d are rejected. To support this Gökçearslan et al. (2016) claimed that addicted users of the smartphone have problems controlling their leisure time.

5.1.1 Theoretical contributions

The study’s findings make multiple theoretical contributions and practical implications. Firstly, this research extends the knowledge of social cyberloafing by proving its favorable impact on social sustainability. As opposed to the traditional view that the concept of cyberloafing is deviant, the study highlights that it can enhance the social aspects of the workplace in the context of Society 5.0, which emphasizes the integration of human-machine interaction. Secondly, the study added to the knowledge on recovery experiences by emphasizing the importance of social cyberloafing. This outcome builds on earlier studies by demonstrating that social cyberloafing allows employees to mentally detach from work demands, providing a new explanation for how digital activities at work might lead to greater mental health and quality of life. Thirdly, this study challenges the claim that all constructs of recovery experiences contribute equally to social sustainability. The findings highlight that psychological detachment and relaxation improve social sustainability while other factors do not substantially impact. This distinction suggests that not all recovery attributes enhance workplace social dynamics in the digital era. Finally, the mediation results contribute to our understanding of how recovery experiences help to mediate the association between social cyberloafing and social sustainability in Society 5.0. In particular, psychological detachment and relaxation serve as essential mediators. It significantly expands the knowledge of how social cyberloafing affects social sustainability, highlighting the relevance of mental recovery processes in fostering employee health and well-being.

5.1.2 Practical implications

Apart from theoretical contributions, the study findings have fourfold practical implications for managers and policymakers. Firstly, managers should recognize that, when properly managed, social cyberloafing can positively impact employees' social sustainability, well-being, and productivity. Managers can establish an environment of psychological detachment and relaxation by providing short pauses for online social connections. This, in turn, minimizes emotional exhaustion and increases productivity. Secondly, policymakers should consider developing workplace policies to encourage the healthy utilization of social media platforms for social cyberloafing. By creating criteria for regulated digital leisure at work, managers may boost employees' mental well-being while maintaining productivity. Policies can be implemented to emphasize the positive function of technology in sustaining social relationships, which is critical in the framework of Society 5.0. Thirdly, recognizing social cyberloafing as desirable may have substantial economic and commercial implications. Employees with time to discontinue their tasks or short breaks mentally report lower stress, more engagement, and improved well-being. These benefits result in increased production and fewer truancy incidents, directly affecting the company’s economic aspects. Finally, the findings should be integrated into future business leaders' courses to emphasize properly utilizing information technology in the workplace. Training courses on employee wellness, technology management, and human resource techniques may incorporate case studies on the advantages and pitfalls of social cyberloafing, enabling learners to understand how to capitalize on its benefits.

This study also has a few limitations. The study relied on self-reported data and a cross-sectional design, restricting depth and generalizability. Future studies should look into alternative data collection methodologies and larger industry samples. Furthermore, the study concentrated on psychological detachment, mastery experience, relaxation, and control during leisure. Future studies should investigate other aspects of recovery experiences, such as physical activity, novelty, exploration, etc., and the limits of social cyberloafing consequences. Furthermore, the one-dimensional measurement of social cyberloafing may have overlooked essential elements. Future studies should take a holistic strategy to capture various internet behaviors. This study focuses solely on Turkish SMEs, ignoring enterprises situated in other regions. Future research should study this concept from various geographical perspectives. Furthermore, comparative research will be conducted between SMEs and large companies with the expectation of intriguing findings.

This study sheds light on the intricate role of social cyberloafing in fostering social sustainability within SMEs, emphasizing its intricate connection with technological recovery experiences. The study builds its arguments via ERM and tests the conceptual model via SEM. The research indicates that social cyberloafing positively affects employees' social sustainability. Moreover, this impact is significantly mediated by the technological recovery experiences, namely psychological detachment and relaxation. However, control during leisure and master experiences had an insignificant effect on their relationship. These findings indicate that SMEs have the potential to improve the well-being of their employees and the long-term viability of their organizations. By acknowledging the significance of social cyberloafing in detaching and relaxing mentally, SMEs can promote psychological recovery among their workforce. Hence, SMEs must consider these valuable insights when formulating workplace policies and interventions that recognize the positive aspects of social cyberloafing. It will help create an atmosphere that promotes employee rejuvenation and social sustainability.

A photograph of Dr. Jawad Abbas, in glasses and formal attire, looking at the camera with a neutral expression.
Dr Jawad Abbas holds a Ph.D. in Innovation and Knowledge Management. He actively researches topics relating to strategic management, knowledge management, innovation management, sustainable development, etc. He has authored more than five dozen research articles in world-leading journals. His studies are prevalent among scholars, placing him among the most cited researchers in innovation. He is also associated with multiple journals for editorial activities and serves as the Head of Research at the Business School, University of Central Punjab.

A photograph of Marina Dabic, a female figure with long hair in a collared shirt and sweater, smiling at the camera.
Marina Dabic is a full Professor of Entrepreneurship and International Business at the University of Zagreb, Faculty of Economics and Business, Croatia and University of Dubrovnik, Croatia and University of Ljubljana School of Economics and Business, Slovenia, and Adjunct professor at ICN Business School France. According to the Stanford list, since 2002 she has been listed among 2% of scientists in business and management. She is editor in chief of Technology in Society, an Associate Editor of Technological Forecasting and Social Change, as well as Strategic change. She is also the Senior Department Editor of IEEE Transactions on Engineering Management. She has published over 250 papers in premier international journals, edited or co-edited several books. She is member of the panel of prestige European research council (ERC), FWO Flanders, Finish Research council and evaluator for Horizon Europe grants.

A photograph of Tilo Halaszovich, in glasses and formal attire, smiling at the camera. A bookshelf is present in the back.
Tilo Halaszovich is an associate professor in the Marketing Department at ICN, Nancy France He is also an affiliated professor of international management at Constructor University Bremen (formerly Jacobs University Bremen). He holds a master’s degree in management science from the Technical University of Aachen (RWTH Aachen, Germany), and obtained his doctorate (rer. pol.) from the University of Bremen. His research focuses on competitiveness of firms in developing countries, with a special focus on Sub-Sahara Africa, institutional distance, and the role of technology and entrepreneurship in international business. He is a senior editor of the European Journal of International Management and serves on the board of the European International Business Academy (EIBA). He has published in leading journals, including Journal of Business Research, International Business Review and European Journal of International Management.

This work is supported by ICN Business School, France. Additionally, this research was financially supported by the Slovenian Research Agency (www.arrs.gov.si) within the research program P5–0441. The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Abbas
,
J.
(
2024
), “
Does the nexus of corporate social responsibility and green dynamic capabilities drive firms toward green technological innovation? The moderating role of green transformational leadership
”,
Technological Forecasting and Social Change
, Vol. 
208
, 123698, doi: .
Abbas
,
J.
(
2025
), “
From corporate social responsibility to human social responsibility: a pathway for a sustainable society
”,
Journal of Cleaner Production
, Vol. 
494
, 144979, doi: .
Abbas
,
J.
,
Bresciani
,
S.
,
Subhani
,
G.
and
De Bernardi
,
P.
(
2025
), “
Nexus of ambidexterity and frugal innovation for enhanced ESG performance of entrepreneurial firms. The role of organizational capabilities
”,
International Entrepreneurship and Management Journal
, Vol. 
21
No. 
1
, p.
47
, doi: .
Acosta-Prado
,
J.C.
,
Zárate-Torres
,
R.A.
and
Tafur-Mendoza
,
A.A.
(
2022
), “
Psychometric properties of the Wong and Law emotional intelligence scale in a Colombian manager sample
”,
Journal of Intelligence
, Vol. 
10
No. 
2
, pp.
1
-
15
, doi: .
Akar
,
I.
and
Karabulut Coskun
,
B.
(
2020
), “
Exploring the relationship between creativity and cyberloafing of prospective teachers
”,
Thinking Skills and Creativity
, Vol. 
38
, 100724, doi: .
Al Frijat
,
Y.S.
,
Albawwat
,
I.E.
and
Elamer
,
A.A.
(
2024
), “
Exploring the mediating role of corporate social responsibility in the connection between board competence and corporate financial performance amidst global uncertainties
”,
Corporate Social Responsibility and Environmental Management
, Vol. 
31
No. 
2
, pp. 
1079
-
1095
, doi: .
Ali
,
K.
(
2024
), “
Total quality management in manufacturing firms: current and future trends
”,
Foresight
, Vol. 
26
No. 
3
, pp. 
505
-
530
, doi: .
Ali
,
K.
and
Johl
,
S.K.
(
2023
), “
Driving forces for industry 4.0 readiness, sustainable manufacturing practices and circular economy capabilities: does firm size matter?
”,
Journal of Manufacturing Technology Management
, Vol. 
34
No. 
5
, pp. 
838
-
871
, doi: .
Alsuwailem
,
M.
and
Freeney
,
Y.
(
2024
), “
Motivational drivers and psychological detachment in shaping the work–home interface for Saudi women
”,
Career Development International
, Vol. 
29
No. 
2
, pp. 
267
-
285
, doi: .
Alwadain
,
A.
,
Fati
,
S.M.
,
Ali
,
K.
and
Ali
,
R.F.
(
2024
), “
From theory to practice: an integrated TTF-UTAUT study on electric vehicle adoption behavior
”, in
Jayasingh
,
S.
(Ed.),
Plos One
, Vol. 
19
No. 
3
, e0297890, doi: .
Andel
,
S.A.
,
Kessler
,
S.R.
,
Pindek
,
S.
,
Kleinman
,
G.
and
Spector
,
P.E.
(
2019
), “
Is cyberloafing more complex than we originally thought? Cyberloafing as a coping response to workplace aggression exposure
”,
Computers in Human Behavior
, Vol. 
101
, pp. 
124
-
130
, doi: .
Arnold
,
M.
,
Casper
,
A.
and
Sonnentag
,
S.
(
2023
), “
Daily trajectories of evening recovery experiences and their role for next-day mood
”,
Journal of Occupational Health Psychology
, Vol. 
28
No. 
5
, pp. 
291
-
309
, doi: .
Bhattacharjee
,
A.
and
Sarkar
,
A.
(
2024
), “
Abusive supervision and cyberloafing: an investigation based on Stressor-Emotion-CWB theory
”,
Information Technology and People
, Vol. 
37
No. 
3
, pp. 
1126
-
1155
, doi: .
Brummelhuis
,
L.L.
and
Bakker
,
A.B.
(
2012
), “
A resource perspective on the work–home interface: the work–home resources model
”,
American Psychologist
, Vol. 
67
No. 
7
, pp.
545
-
556
, doi: .
Centobelli
,
P.
,
Cerchione
,
R.
,
Esposito
,
E.
,
Passaro
,
R.
and
Quinto
,
I.
(
2022
), “
The undigital behavior of innovative startups: empirical evidence and taxonomy of digital innovation strategies
”,
International Journal of Entrepreneurial Behavior and Research
, Vol. 
28
No. 
9
, pp. 
219
-
241
, doi: .
Corvello
,
V.
,
De Carolis
,
M.
,
Verteramo
,
S.
and
Steiber
,
A.
(
2022
), “
The digital transformation of entrepreneurial work
”,
International Journal of Entrepreneurial Behavior and Research
, Vol. 
28
No. 
5
, pp. 
1167
-
1183
, doi: .
Dabić
,
M.
,
Maley
,
J.F.
,
Švarc
,
J.
and
Poček
,
J.
(
2023
), “
Future of digital work: challenges for sustainable human resources management
”,
Journal of Innovation and Knowledge
, Vol. 
8
No. 
2
, 100353, doi: .
Demirtepe-Saygılı
,
D.
and
Metin-Orta
,
I.
(
2021
), “
An investigation of cyberloafing in relation to coping styles and psychological symptoms in an educational setting
”,
Psychological Reports
, Vol. 
124
No. 
4
, pp. 
1559
-
1587
, doi: .
Derin
,
N.
and
Gökçe
,
S.G.
(
2016
), “
Are cyberloafers also innovators?: a study on the relationship between cyberloafing and innovative work behavior
”,
Procedia - Social and Behavioral Sciences
, Vol. 
235
, pp. 
694
-
700
, doi: .
Ding
,
H.
,
Yu
,
E.
and
Li
,
Y.
(
2020
), “
Core self-evaluation, perceived organizational support for strengths use and job performance: testing a mediation model
”,
Current Psychology
, doi: .
Ferreira
,
J.J.M.
,
Fernandes
,
C.I.
and
Veiga
,
P.M.
(
2024
), “
The effects of knowledge spillovers, digital capabilities, and innovation on firm performance: a moderated mediation model
”,
Technological Forecasting and Social Change
, Vol. 
200
, 123086, doi: .
Figueroa
,
D.
,
Yamazaki
,
R.
,
Nishio
,
S.
,
Maalouly
,
E.
,
Nagata
,
Y.
,
Satake
,
Y.
,
Yamakawa
,
M.
,
Suzuki
,
M.
,
Kanemoto
,
H.
,
Ikeda
,
M.
and
Ishiguro
,
H.
(
2023
), “
Social robot for older adults with cognitive decline: a preliminary trial
”,
Frontiers in Robotics and AI
, Vol. 
10
, 1213705, doi: .
Franke
,
G.
and
Sarstedt
,
M.
(
2019
), “
Heuristics versus statistics in discriminant validity testing: a comparison of four procedures
”,
Internet Research
, Vol. 
29
No. 
3
, pp. 
430
-
447
, doi: .
Gellmers
,
J.
and
Yan
,
N.
(
2023
), “
Digital leisure engagement and positive outcomes in the workplace: a systematic literature review
”,
International Journal of Environmental Research and Public Health
, Vol. 
20
No. 
2
, p.
1014
, doi: .
Gil-Cordero
,
E.
,
Maldonado-López
,
B.
,
Ledesma-Chaves
,
P.
and
García-Guzmán
,
A.
(
2024
), “
Do small- and medium-sized companies intend to use the metaverse as part of their strategy? A behavioral intention analysis
”,
International Journal of Entrepreneurial Behavior and Research
, Vol. 
30
Nos
2/3
, pp. 
421
-
449
, doi: .
Hair
,
J.F.
,
Sarstedt
,
M.
and
Ringle
,
C.M.
(
2019
), “
Rethinking some of the rethinking of partial least squares
”,
European Journal of Marketing
, Vol. 
53
No. 
4
, pp. 
566
-
584
, doi: .
Gökçearslan
,
Ş.
,
Mumcu
,
F.K.
,
Haşlaman
,
T.
and
Çevik
,
Y.D.
(
2016
), “
Modelling smartphone addiction: The role of smartphone usage, self-regulation, general self-efficacy and cyberloafing in university students
”,
Computers in Human Behavior
, Vol. 
63
, pp.
639
-
649
, doi: .
Hair
,
J.F.
 Jr
,
Hult
,
G.T.M.
,
Ringle
,
C.M.
and
Sarstedt
,
M.
(
2022
),
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
, (3rd ed.) ,
SAGE Publications
.
Haseeb
,
M.
,
Hussain
,
H.I.
,
Slusarczyk
,
B.
and
Jermsittiparsert
,
K.
(
2019
), “
Industry 4.0: A solution towards technology challenges of sustainable business performance
”,
Social Sciences
, Vol. 
8
No. 
5
, p.
154
.
Headrick
,
L.
,
Newman
,
D.A.
,
Park
,
Y.A.
and
Liang
,
Y.
(
2023
), “
Recovery experiences for work and health outcomes: a meta-analysis and recovery-engagement-exhaustion model
”,
Journal of Business and Psychology
, Vol. 
38
No. 
4
, pp. 
821
-
864
, doi: .
Herhausen
,
D.
,
Ludwig
,
S.
,
Wünderlich
,
N.V.
,
Grewal
,
D.
and
Schoegel
,
M.
(
2023
), “
Complaint de-escalation strategies on social media
”,
Journal of Marketing
, Vol. 
87
No. 
2
, pp.
210
-
231
, doi: .
Hu
,
Y.
,
Chen
,
Y.
and
Ye
,
M.
(
2023
), “
Eager to belong: social cyberloafing as a coping response to workplace ostracism
”,
Current Psychology
, Vol. 
42
No. 
4
, pp. 
3372
-
3381
, doi: .
Kanwal
,
N.
,
Bin Isha
,
A.S.N.
and
Ali
,
K.
(
2024
), “
New ways of working: a comparative empirical analysis appertaining to health and well-being and psychosocial hazards
”,
Technology Analysis and Strategic Management
, Vol. 
ahead-of-print
 
No. ahead-of-print
, pp.
1
-
14
, doi: .
Kariv
,
D.
(
2008
), “
The relationship between stress and business performance among men and women entrepreneurs
”,
Journal of Small Business and Entrepreneurship
, Vol. 
21
No. 
4
, pp. 
449
-
476
, doi: .
Kemp
,
S.
(
2023
), “
Digital 2023: Global overview report
”,
available at:
 https://datareportal.com/reports/digital-2023-global-overview-report
Kim
,
H.
,
Abbas
,
J.
,
Haq
,
M.Z.U.
,
Lee
,
J.H.
and
Hwang
,
J.
(
2023
), “
Differences between robot servers and human servers in brand modernity, brand love, and behavioral intentions in the restaurant industry
”,
Asia Pacific Journal of Marketing and Logistics
, Vol. 
35
No. 
7
, pp. 
1774
-
1788
, doi: .
Koay
,
K.Y.
and
Lai
,
C.H.Y.
(
2023
), “
Workplace ostracism and cyberloafing: a social cognitive perspective
”,
Management Research Review
, Vol. 
46
No. 
12
, pp. 
1769
-
1782
, doi: .
Korzynski
,
P.
and
Protsiuk
,
O.
(
2024
), “
What leads to cyberloafing: the empirical study of workload, self-efficacy, time management skills, and mediating effect of job satisfaction
”,
Behaviour and Information Technology
, Vol. 
43
No. 
1
, pp. 
200
-
211
, doi: .
Krampitz
,
J.
,
Tenschert
,
J.
,
Furtner
,
M.
,
Simon
,
J.
and
Glaser
,
J.
(
2023
), “
Effectiveness of online self-leadership training on leaders' self-leadership skills and recovery experiences
”,
Journal of Workplace Learning
, Vol. 
35
No. 
9
, pp. 
66
-
85
, doi: .
Lee
,
M.J.
and
Roh
,
T.
(
2023
), “
Unpacking the sustainable performance in the business ecosystem: coopetition strategy, open innovation and digitalization capability
”,
Journal of Cleaner Production
, Vol. 
412
, 137433, doi: .
Leong
,
R.L.F.
,
Tan
,
D.J.
,
Ong
,
J.L.
,
Lo
,
J.C.
,
Lee
,
X.K.
,
Chee
,
N.I.Y.N.
and
Chee
,
M.W.L.
(
2019
), “
The effects of sleep on prospective memory: a systematic review and meta-analysis
”,
Sleep Medicine Reviews
, Vol. 
47
, pp.
18
-
27
, doi: .
Lim
,
V.K.G.
(
2002
), “
The IT way of loafing on the job: cyberloafing, neutralizing and organizational justice
”,
Journal of Organizational Behavior
, Vol. 
23
No. 
5
, pp.
675
-
694
, doi: .
Lim
,
V.K.G.
and
Teo
,
T.S.H.
(
2024
), “
Cyberloafing: a review and research agenda
”,
Applied Psychology
, Vol. 
73
No. 
1
, pp. 
441
-
484
, doi: .
Liu
,
Y.D.
,
Chung
,
H.F.
,
Zhang
,
Z.J.
and
Wu
,
M.
(
2023
), “
When and how digital platforms empower professional services firms: an agility perspective
”,
Journal of Service Theory and Practice
, Vol. 
33
No. 
2
, pp.
149
-
168
, doi: .
Ma
,
L.
,
Zhang
,
X.
and
Yu
,
P.
(
2023
), “
Enterprise social media usage and social cyberloafing: an empirical investigation using the JD-R model
”,
Internet Research
, Vol. 
34
No. 
3
, pp. 
939
-
959
, doi: .
Magno
,
F.
,
Cassia
,
F.
and
Ringle
,
C.M.
(
2022
), “
A brief review of partial least squares structural equation modeling (PLS-SEM) use in quality management studies
”,
The TQM Journal
, Vol. 
36
No. 
5
, pp. 
1242
-
1251
, doi: .
Majcen
,
J.
,
Tonkovic-Grabovac
,
M.
and
Cernja-Rajter
,
I.
(
2023
), “
Recovery experiences and work engagement: the role of emotions at work
”,
Psihologija
, Vol. 
56
No. 
3
, pp. 
305
-
322
, doi: .
Mao
,
J.
,
Zhao
,
Y.
,
Yang
,
S.
,
Li
,
R.Y.M.
and
Abbas
,
J.
(
2022
), “
Intelligent transformation and customer concentration
”,
Journal of Organizational and End User Computing (JOEUC)
, Vol. 
35
No. 
2
, pp. 
1
-
15
, doi: .
McDonald-Miszczak
,
L.
and
Wister
,
A.V.
(
2005
), “
Predicting self-care behaviors among older adults coping with arthritis: a cross-sectional and 1-Year longitudinal comparative analysis
”,
Journal of Aging and Health
, Vol. 
17
No. 
6
, pp. 
836
-
857
, doi: .
Meijman
,
T.F.
and
Mulder
,
G.
(
1998
), “Psychological aspects of workload”, in
A Handbook of Work and Organizational Psychology
, (1st ed.) ,
Taylor & Francis
.
Mostafa
,
M.A.
and
El-Gohary
,
N.M.
(
2014
), “
Stakeholder-sensitive social welfare–oriented benefit analysis for sustainable infrastructure project development
”,
Journal of Construction Engineering and Management
, Vol. 
140
No. 
9
, 04014038, doi: .
Ohana
,
M.
,
Murtaza
,
G.
,
Haq
,
I.U.
,
Al-Shatti
,
E.
and
Chi
,
Z.
(
2024
), “
Why and when can CSR toward employees lead to cyberloafing? The role of workplace boredom and moral disengagement
”,
Journal of Business Ethics
, Vol. 
189
No. 
1
, pp. 
133
-
148
, doi: .
O'Neill
,
T.A.
,
Hambley
,
L.A.
and
Bercovich
,
A.
(
2014
), “
Prediction of cyberslacking when employees are working away from the office
”,
Computers in Human Behavior
, Vol. 
34
, pp. 
291
-
298
, 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: .
Polese
,
M.
and
Stren
,
R.
 
(Eds)
(
2000
),
The Social Sustainability of Cities: Diversity and the Management of Change
,
University of Toronto Press
, doi: .
Post
,
M.
(
2014
), “
Definitions of quality of life: what has happened and how to move on
”,
Topics in Spinal Cord Injury Rehabilitation
, Vol. 
20
No. 
3
, pp. 
167
-
180
, doi: .
Potočan
,
V.
,
Mulej
,
M.
and
Nedelko
,
Z.
(
2021
), “
Society 5.0: balancing of industry 4.0, economic advancement and social problems
”,
Kybernetes
, Vol. 
50
No. 
3
, pp. 
794
-
811
, doi: .
She
,
Z.
and
Li
,
Q.
(
2023
), “
When too little or too much hurts: evidence for a curvilinear relationship between cyberloafing and task performance in public organizations
”,
Journal of Business Ethics
, Vol. 
183
No. 
4
, pp. 
1141
-
1158
, doi: .
Sonnentag
,
S.
and
Fritz
,
C.
(
2007
), “
The recovery experience questionnaire: development and validation of a measure for assessing recuperation and unwinding from work
”,
Journal of Occupational Health Psychology
, Vol. 
12
No. 
3
, pp. 
204
-
221
, doi: .
Sonnentag
,
S.
and
Natter
,
E.
(
2004
), “
Flight attendants' daily recovery from work: is there no place like home?
”,
International Journal of Stress Management
, Vol. 
11
No. 
4
, pp. 
366
-
391
, doi: .
Sonnentag
,
S.
,
Tay
,
L.
and
Nesher Shoshan
,
H.
(
2023
), “
A review on health and well-being at work: more than stressors and strains
”,
Personnel Psychology
, Vol. 
76
No. 
2
, pp.
473
-
510
, doi: .
Statista
(
2024
), “
Most popular social networks worldwide as of April 2024, ranked by number of monthly active users
”,
Most Popular Social Networks Worldwide as of April 2024, Ranked by Number of Monthly Active Users, available at:
 https://www.statista.com/statistics/272014/global-social-networks-ranked-by-number-of-users/
Švarc
,
J.
and
Dabić
,
M.
(
2023
), “Are the ‘Guys who Play Games’ shaping our economic future? The Croatian economy's potential for digital transformation”, in
Dabić
,
M.
and
Kraus
,
S.
(Eds),
De Gruyter Handbook of SME Entrepreneurship
,
De Gruyter
,
Berlin, Boston
,
2024
, pp. 
383
-
404
. doi: .
Švarc
,
J.
,
Dabić
,
M.
and
Tekavčič
,
M.
(
2024
), “Controversies surrounding digitalization: discussions in four key domains”, in
Digital Entrepreneurship in Science, Technology and Innovation
,
Edward Elgar Publishing
, pp. 
353
-
372
.
Tan
,
M.Y.N.
,
Ni
,
Z.
,
Liu
,
A.S.H.
and
Shorey
,
S.
(
2024a
), “
The influence of social media on student nurses: a systematic mixed-studies review
”,
Nurse Education Today
, Vol. 
132
, 106000, doi: .
Tan
,
Z.
,
Yan
,
S.
,
Xia
,
Q.
and
Zhang
,
Y.
(
2024b
), “
The relationship between servant leadership and cyberloafing: an investigation of meaningful work versus citizenship pressure
”,
European Journal of Work and Organizational Psychology
, Vol.
33
No.
4
, pp. 
1
-
16
, doi: .
Tandon
,
A.
,
Kaur
,
P.
,
Ruparel
,
N.
,
Islam
,
J.U.
and
Dhir
,
A.
(
2022
), “
Cyberloafing and cyberslacking in the workplace: systematic literature review of past achievements and future promises
”,
Internet Research
, Vol. 
32
No. 
1
, pp. 
55
-
89
, doi: .
Trzebiatowski
,
T.
(
2023
), “
A key to recovery for working mothers? Psychological detachment and the roles of relaxation, mastery and control on boundary violations
”,
Equality, Diversity and Inclusion: An International Journal
, Vol. 
43
No. 
1
, pp. 
132
-
152
, doi: .
Tsai
,
H.-Y.
(
2023
), “
Do you feel like being proactive day? How daily cyberloafing influences creativity and proactive behavior: the moderating roles of work environment
”,
Computers in Human Behavior
, Vol. 
138
, 107470, doi: .
Woodcraft
,
S.
,
Bacon
,
N.
,
Caistor-Arendar
,
L.
and
Hackett
,
T.
(
2012
), “
Design for social sustainability
”,
Social Life
, pp. 
1
-
58
.
Wu
,
J.
,
Mei
,
W.
,
Liu
,
L.
and
Ugrin
,
J.C.
(
2020a
), “
The bright and dark sides of social cyberloafing: effects on employee mental health in China
”,
Journal of Business Research
, Vol. 
112
, pp. 
56
-
64
, doi: .
Wu
,
J.
,
Mei
,
W.
,
Ugrin
,
J.
,
Liu
,
L.
and
Wang
,
F.
(
2020b
), “
Curvilinear performance effects of social cyberloafing out of class: the mediating role as a recovery experience
”,
Information Technology and People
, Vol. 
34
No. 
2
, pp. 
581
-
598
, doi: .
Yang
,
H.
,
Lin
,
Z.
,
Chen
,
X.
and
Peng
,
J.
(
2023
), “
Workplace loneliness, ego depletion and cyberloafing: can leader problem-focused interpersonal emotion management help?
”,
Internet Research
, Vol. 
33
No. 
4
, pp. 
1473
-
1494
, doi: .
Yao
,
X.
,
Ma
,
N.
,
Zhang
,
J.
,
Wang
,
K.
,
Yang
,
E.
and
Faccio
,
M.
(
2024
), “
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0
”,
Journal of Intelligent Manufacturing
, Vol. 
35
No. 
1
, pp. 
235
-
255
, doi: .
Yeh
,
Y.
,
Chen
,
S.-Y.
,
Rega
,
E.M.
and
Lin
,
C.-S.
(
2019
), “
Mindful learning experience facilitates mastery experience through heightened flow and self-efficacy in game-based creativity learning
”,
Frontiers in Psychology
, Vol. 
10
, p.
1593
, doi: .
Yu
,
T.
,
Abbas
,
J.
,
Rizvi
,
R.A.
and
Najam
,
H.
(
2024
), “
Role of environment-driven CSR, green servant leadership, and green dynamic capabilities in firm green innovation: evidence from manufacturing industry
”,
Environment, Development and Sustainability
, Vol. 
ahead-of-print
 
No. ahead-of-print
, doi: .
Zhang
,
X.
,
Guo
,
H.
,
Ma
,
L.
and
Zhang
,
G.
(
2024
), “
Minor and serious cyberloafing in the workplace: antecedents and effects on job satisfaction
”,
Behaviour and Information Technology
, Vol. 
44
No. 
2
, pp. 
1
-
20
, doi: .
Zhang
,
J.
,
Yu
,
H.
,
Yang
,
Y.
and
Ma
,
Y.
(
2023
), “
Unintended influence of leader forgiveness: increased employee cyberloafing
”,
Management Decision
, Vol. 
62
No. 
1
, pp.
107
-
128
, doi: .
Zhou
,
Y.
,
Chen
,
P.
,
Liu
,
Q.
and
Wang
,
T.
(
2023
), “
More haste, less speed: leader bottom-line mentality and employee counter-productive social cyberloafing
”,
Journal of Managerial Psychology
, Vol. 
38
No. 
8
, pp. 
643
-
656
, doi: .
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 http://creativecommons.org/licences/by/4.0/legalcode

or Create an Account

Close Modal
Close Modal