Skip to Main Content
Purpose

The purpose of this study is to investigate the impact of sustainability virtual influencers (SVIs)’ source credibility on young female consumers’ pro-environmental motivations predicting to engagement with the SVI’s.

Design/methodology/approach

Combining source credibility and goal-framing theory, the study conducted an online scenario-based survey, collecting 366 responses via the Prolific platform after exposing participants to a stimulus of fictional SVI. The study conducted structural equation modeling analysis and mediation analysis using SPSS and Amos.

Findings

The study found that young female consumers are driven by different pro-environmental motivations when engaging with SVIs, which is particularly mediated by hedonic and normative goal motivations.

Research limitations/implications

The study found that young female consumers are driven by different pro-environmental motivations when responded to engagement with the SVI’s content, which is particularly mediated by hedonic and normative goal motivations.

Practical implications

The study examined the SVI’s qualities and underlying pro-environmental motivations of young female consumers, offering practical implications for the strategic use of SVIs in social media green marketing and sustainability awareness initiatives.

Originality/value

The present study bridges a gap by combining source credibility and goal-framing theory to examine motivational mechanisms underlying young female consumers’ engagement with the SVI.

With social media having become a significant means of communication, the global influencer marketing approach has doubled since 2019 (Dencheva, 2023). The expanding influencer market has led many businesses to use social media for green marketing. The contemporary global green marketing market is expected to reach approximately US$60.8bn by 2027 (Business Research Insights, 2024). Indeed, the influence of “greenfluence,” specialized pro-environmental social media movement (Hartmann et al., 2025), is bringing changes in the way that businesses communicate and implement green marketing on social media.

Virtual influencers (VIs), as computer-generated characters demonstrating human traits and personalities (Thomas and Fowler, 2021), are one of the exemplary factors driving these changes. VIs have become a new form of green activism on social media. Many top brands have begun to present green campaigns using VIs (Kelly, 2023). For example, Burberry developed VIs to emphasize the brand’s investment in environmental initiatives (Ruggeri, 2022). Hyundai also partnered with the virtual supermodel Shudu to promote the upcycled vehicles (Ruggeri, 2022). The popularity of VIs could be driven by several managerial benefits. They allow brands to control messages more easily, provide a higher degree of creative freedom, save some of the enormous costs of advertising budgets, and lower the risk of reputational crisis (Yang et al., 2023). Within this vein, VIs may offer unique advantages in sustainability communication. Their digital nature inherently aligns with concepts of reduced material consumption and environmental impact (Hwang et al., 2024). Unlike human influencers (HIs), VIs can consistently embody sustainable values without personal lifestyle contradictions, potentially enhancing message credibility in green marketing contexts.

However, questions have been raised concerning the effectiveness of VIs. Besides the benefits VIs provide for marketers and retailers (Jhawar et al., 2023), a limited perspective in understanding what factors motivate consumers to engage with VIs, particularly sustainability virtual influencers (SVI)s promoting green marketing, has been offered. Previous literature on social media green marketing has predominantly focused on investigating brand promotion strategies, determinants of consumer green purchasing behavior, and examining the effectiveness of green messages (Kang and Kim, 2017; Salem and Alanadoly, 2021). Past literature on VIs has primarily focused on comparing the effectiveness of endorsements by VIs and HIs (e.g. Alboqami, 2023; Franke et al., 2022), or investigating VIs’ traits in shaping social engagement (Lin et al., 2024; Nguyen and Hoang, 2025). Another stream of research has investigated VIs’ anthropomorphic attributes and provided useful insights (e.g. Arsenyan and Mirowska, 2021; Dabiran et al., 2024; El Hedhli et al., 2023; Kim and Park, 2024). Nevertheless, the key research question investigating the driving forces behind the popularity of VIs that specifically focuses on sustainability and green marketing, remains underexplored.

With that in mind, this research investigates consumers’ pro-environmental motivations that lead to engaging with SVIs that promote sustainability. Specifically, this study adopts source credibility (Ohanian, 1990) and goal-framing theory (Lindenberg and Steg, 2007) to test the hypothesized model using an online survey approach. Based on the integration of two theoretical frameworks, this study aims to offer insights into how SVIs can foster engagement, shape environmental consciousness and inspire pro-environmental actions among young female consumers, a crucial area of inquiry as the role of artificial entities in promoting social and ecological well-being continues to evolve. In doing so, this research contributes to literature by expanding the knowledge concerning VIs, social media green marketing and source credibility. Furthermore, the research results have beneficial implications for marketers seeking novel insights for successfully integrating VIs into authentic green marketing strategies.

According to Brown and Hayes (2008), the term influencer refers to a third party that exerts meaningful influence on consumers’ purchasing decisions while remaining largely unaccountable for the consequences. With the prolific growth of social media marketing, human influencers who are real individuals have built credibility through their unique characteristics, interpersonal relationships whereas VIs are digitally created characters embodying visual realism and interactive capabilities similar to those of human (Thomas and Fowler, 2021). Unlike traditional human influencers, VIs operate through a combination of AI, computer-generated imagery and human supervision. Through AI integration, VIs can produce content, analyze user responses and optimize engagement strategies on a large scale (Arsenyan and Mirowska, 2021; Lou et al., 2023). At more sophisticated stages of development, they move beyond pre-scripted avatars and display semi-autonomous, interactive functions enabled by generative AI (Sorosrungruang et al., 2024). These capabilities allow VIs to maintain consistent digital presence, adapt to audience preferences and operate continuously without human limitations (Su, 2025).

Furthermore, VIs, through their capacity to emulate human-like traits, have reshaped consumer engagement by fostering parasocial relationships. These one-sided connections draw on social dynamics to generate perceived reciprocity and rapport comparable to face-to-face interactions (Horton and Richard wohl, 1956). Emerging research indicates that such illusory interpersonal bonds can be as persuasive in advertising as human-led communication, with consumers often experiencing heightened immersion and intimacy driven by the anthropomorphic qualities of VIs (Ma and Li, 2024; Zhang et al., 2025). Although the authenticity of VIs is frequently questioned due to their lack of a genuine identity (Lou et al., 2023), a growing body of evidence highlights their effectiveness in enabling dynamic consumer engagement that extends beyond traditional marketing approaches (Lim and Lee, 2023; Zhang et al., 2025). Nevertheless, research specifically examining SVIs remains in its early stages.

While green advocacy has gained significant momentum on social media, SVIs remain conceptually underdefined despite the growing presence of VIs who adopt sustainability-oriented personas. For example, Noonoouri (@noonoori) is an animation-like SVI that promotes climate change campaigns and has collaborated with top brands’ sustainability collections (Ruggeri, 2022). Zoe Dvir (@zoedvir) and Vida.Kit (@vida.kit) are SVIs that proclaim to be vegetarians and share posts to educate environmental activists, while Be, the bee-influencer (@bee_nfluencer) advocates for environmental causes such as bee conservation (Korenewsky, 2024). These influencers are frequently portrayed as young women in their twenties and are designed with human-like or stylized cartoon appearances. Such recurring characteristics tend to align with the demographic profile of their primary target audience, young female consumers, who become increasingly responsive to visually curated, aesthetically driven representations of eco-conscious lifestyles. (Leggett and Davies, 2024; Huh and Kim, 2024).

Because SVIs remain a relatively rare identity-based persona in practice, research specifically examining SVIs is limited. Moreover, studies examining VIs more broadly within sustainability contexts also remain limited (see Table 1). A stream of research examining VI features as a tool to leverage social goods or motivate prosocial behavior has been a dominant interest in the human–machine interaction literature, with only a few studies in the marketing field investigating VIs in the context of pro-environmental behavior (Gerrath et al., 2024; Quach et al., 2024), green product endorsement (Dabiran et al., 2024; Jiang et al., 2024; Kılıç and Gürlek, 2023) and corporate social responsibility messaging (Yang et al., 2023).

Table 1

Previous literature on VIs in the context of pro-environmental behavior

AuthorsPurposeStudy typeKey attributes/characteristics of VIsFindings
Jiang et al. (2024) The research explores the joint effects of VI image, emotional appeal and product involvement in green product endorsementQuantitative method (experiment)The research considers that a human-like VI to have a higher realistic image than an animation-like VI, thereby leading to different perceptions of psychological distanceThe research found that matching HIs (pride) and VIs (gratitude) with relevant emotional appeal could be crucial for increasing effectiveness of green product endorsement
Gerrath et al. (2024) The research examines the effectiveness of VIs’ warmth on engagement with pro-environmental causesQuantitative method (experiment)The research regards VIs as artificially generated, non-existent, and fictional entity with strong visual attributesThe research confirmed the effectiveness of warmth and that the effect was contingent on the audience’s trust in experts
Yang et al. (2023) The research investigates the effectiveness of CSR messaging between HIs and VIsQuantitative method (experiment)The research views that VIs demonstrating human-like attributes using unique vocal features and physical appearanceThe research revealed that active interactivity could enhance the effectiveness of CSR messaging when utilizing VIs
Dabiran et al. (2024) The research aims to understand how consumers evaluate the different types of VIs’ authenticityQuantitative method (survey)The research identifies VIs’ as digital characters that have Four different human-like attributes – appearance, moral virtue, cognitive experience and conscious emotionalityThe research reported that influence-product congruence had crucial moderating influence on credibility and purchase intention
Kılıç and Gürlek (2023) The research aims to conceptualize the green influencer marketing and to develop a scale for its measurementMixed method (survey)The research defines VIs as those who have a human-like appearance but are not real humanThe research developed a green influencer scale that features two sub-constructs (environmentally friendly product/sustainability-oriented influence)
Quach et al. (2024) The research aims to examine the effectiveness of flattery and humanlike appearance of VIs on pro-social behaviorQuantitative method (experiment)The research regards VIs as digitally generated artificial humans emulating human characteristics through motion capture technology and computer graphic techniqueThe research found that engaging users with flattery and human-like appearance could drive prosocial behavior of users
Source(s): Authors’ own work

In this vein, the present study conceptualizes SVIs as a distinct influencer subtype defined not only by their digital embodiment but also by sustainability positioning embedded at the identity level. Such positioning is expected to shape consumers’ perceived credibility and pro-environmental motivation differently from the effects of sporadic sustainability messaging conveyed by general (virtual) influencers.

Emerging from environmental psychology, goal framing theory has been used to account for pro-environmental and prosocial actions (Jain and Rathi, 2023). Goal-framing theory postulates that three goal systems, gain goal (GG), hedonic goal (HG) and normative goal (NG), guide humans with different pro-environmental motivations (Lindenberg and Steg, 2007). The GG frame activates an individual’s behavior toward benefit maximization, and the HG frame activates an individual’s motivation for immediate pleasure (Lindenberg and Steg, 2007). The NG frame is driven by altruistic motivations and respecting social norms (Jain and Rathi, 2023).

Unlike prior studies that have relied on frameworks such as the theory of planned behavior, theory of consumption values or value–belief–norm theory to explain pro-environmental actions, goal-framing theory is particularly useful for addressing the motivation–behavior gap in sustainable consumption (Yang et al., 2020). In particular, prior research highlights the distinction between egoistic and altruistic appeals as a salient contributor to the motivation–behavior gap (Schlaile et al., 2018; Wang et al., 2019). Goal frames emphasizing personal benefits versus moral expectations may steer behavioral responses differently and operate through distinct motivational pathways, a dynamic that is well captured by goal-framing theory (Lindenberg and Steg, 2007). Furthermore, values function as overarching principles that extend across contexts (Bargh et al., 2001), while goals are defined as cognitively represented desired outcomes toward which individuals direct their efforts (Schwartz, 1992). As such, goals are typically more situationally specific, incorporating behavioral intentions, informational considerations and evaluative processes (Kopetz et al., 2012). Therefore, goal-framing theory is useful in understanding the interplay across different pro-environmental motivations in a single framework (Do Canto et al., 2023).

Within this vein, the present study integrates source credibility with goal-framing theory to examine how specific attributes of SVIs are associated with distinct forms of pro-environmental motivation. According to source credibility that examines the effectiveness of endorsements based on an endorser’s positive characteristics (Ohanian, 1990), three source characteristics drive the endorsement effect of source credibility. Perceived expertise reflects an endorser’s competence and authority, perceived attractiveness captures their physical appeal, and perceived trustworthiness denotes their believability and integrity (Ohanian, 1990). Driven by these characteristics, source credibility postulates that endorsers’ credibility could influence audiences’ beliefs, attitudes and behavioral change. While source credibility has often been integrated with theories assuming consumers’ rational choice such as the theory of planned behavior or the theory of reasoned action (e.g. Kumar, Kaushal and Kumar, 2023; Wong et al., 2020), prior research has also demonstrated its relevance in shaping attitudinal and behavioral intention processes underlying persuasive message effects (e.g. Phua et al., 2018; Wang and Scheinbaum, 2018). However, less attention has been given to how source credibility may integrate with motivational goal structures underlying pro-environmental behavior.

SVIs represent a paradigm shift from traditional influencer marketing models, necessitating a theoretical reconsideration of established persuasion mechanisms. In contrast to human influencers, whose effectiveness in green advocacy is grounded in expertise derived from lived experiences and consistent engagement in ethical and normative behaviors (Yang et al., 2023), SVIs function as algorithmically designed advocates devoid of material self-interest. This structural distinction may enhance perceptions of objectivity in promoting prosocial behaviors, while their visually appealing, aesthetically optimized appearances further strengthen consumer engagement (Lou et al., 2023). This fundamental difference in motivational structure introduces distinctive credibility dynamics, whereby traditional source characteristics – such as expertise, attractiveness and trustworthiness – may operate through alternative psychological pathways when the source is explicitly artificial yet purposefully engineered for advocacy. The intersection of source credibility and goal-framing theories in SVI contexts thus offers novel insights into how artificial entities may transcend conventional persuasion constraints.

Integrating source credibility with goal-framing theory, therefore, provides a meaningful perspective not only for understanding the underlying pro-environmental behavior toward SVIs but also for linking SVIs’ specific source characteristics to the activation of distinct motivational orientations, thereby suggesting its potential as a guiding framework for designing motivation-directed behavioral change interventions in social marketing contexts (Do Canto et al., 2023). That is, integrating source credibility with goal-framing theory suggests that persuasive effectiveness may depend not only on the content of SVI posts but also on how the unique credibility characteristics of SVIs activate particular goal frames. In this regard, the present study contributes to explaining how SVIs, as an emerging form of digitally constructed green advocacy actors, may function as salient digital cues that facilitate the shaping of pro-environmental motivation and engagement in social media contexts (Tate et al., 2014). Accordingly, the hypothesized research model examines how SVIs’ perceived expertise, attractiveness, and trustworthiness associate with consumers’ pro-environmental motivations and subsequent engagement with SVIs through differentiated motivational pathways.

Previous literature on pro-environmental behavior has emphasized the significant influence of human values, beliefs and norms on individuals’ intentions and behavior (Stern, 2000). In general, egoistic and altruistic value orientations can be referenced to explain pro-environmental behavior (Snelgar, 2006). For example, people with a strong egoistic value orientation (i.e. self-enhancement) are assumed to value economic costs and benefits, while those with a strong altruistic value orientation (i.e. self-transcendent) value moral and societal expectations in pursuing pro-environmental behavior (De Groot and Steg, 2009).

In this respect, the GG motivation aligns with an egoistic value orientation. First, individuals motivated by a GG frame engage in pro-environmental behavior to seek utilitarian benefits such as financial or intangible beneficiaries (Lindenberg and Steg, 2007). For example, such consumers may purchase a green product made of organic materials because it offers health improvement and superior performance (Khan et al., 2023). Similarly, individuals motivated by an HG frame seek instant pleasure such as tastiness and positive feelings (Lindenberg and Steg, 2007). In contrast, an NG motivation aligns with an altruistic value orientation. Individuals with an altruistic value orientation engage in pro-environmental behavior because they believe sustainable choices could contribute to a better world (Lindenberg and Steg, 2007).

In this regard, perceived expertise is likely to enhance the salience of GG frames by signaling functional effectiveness and outcome utility, while perceived attractiveness may activate HG frames through affective appeal and aspirational identification. In contrast, perceived trustworthiness may reinforce NG frames by conveying sincerity, integrity and ethical responsibility. Accordingly, expertise and attractiveness can be interpreted as credibility cues associated with egoistic appeals, whereas trustworthiness may operate as a credibility cue aligned with altruistic appeals in sustainability communication contexts.

In the context of social media green marketing, consumers have been found to perceive SVIs that provide practical knowledge and green marketing content as beneficial informants demonstrating expertise. For instance, SVIs regularly share posts informing users of the brand’s launch of a new green product, serving as objective and standard measures for consumers committed to pro-environmental behavior (Filieri et al., 2023). Therefore, when SVIs demonstrate expertise by sharing useful information, they likely motivate consumers toward a GG motivation.

Similarly, SVIs that demonstrate expertise in sustainability may appeal to consumers who seek hedonic pleasure in pursuing pro-environmental behavior. For example, SVIs that share unconventional and distinct content compared with HIs’ sponsored posts (Franke et al., 2022). Consequently, when SVIs demonstrate expertise through innovative content, they are likely to motivate consumers toward an HG motivation:

H1.

SVIs’ expertise will positively influence consumers’ egoistic appeals, specifically a) gain and b) hedonic goal motivations.

As characters that are digitally fabricated using computer graphic techniques, in general, VIs demonstrate strong visual attractiveness (Thomas and Fowler, 2021). Moreover, as they are often designed with idealized features and lifestyles, SVIs can serve as aspirational figures, presenting elevated lifestyles by sharing luxurious green products with sensual designs. Consumers may be drawn to SVIs that represent a socially accepted and admired standard. The attractiveness of SVIs indicates their sense of aesthetics and sophisticated preference (Berlyne, 1974), which appeals to consumers who are interested in the latest trends and tastes (Ki and Kim, 2019). Furthermore, by associating with an SVI that has strong visual attractiveness, consumers can enhance their own social image and gain approval, aligning with egoistic, GG motivations (Jain and Rathi, 2023). Therefore, when SVIs demonstrate attractiveness by sharing the latest content and aesthetic tastes, they likely induce consumers’ GG motivation.

An SVI’s attractive appearance and compelling content is inherently entertaining. SVIs often share posts in visually appealing ways. For example, SVIs feature digitally designed clothing and accessories in their posts, adding a fanciful atmosphere that is difficult to implement in real life (Suh, 2020). In addition, SVIs share green campaigns in a video format featuring robotic voices to convey environmental messages and engage consumers. Consumers seeking vicarious satisfaction from memorable experiences may be more inclined toward attractive SVIs (Miao and Wei, 2013), fulfilling a need for pleasure and emotional gratification (Lindenberg and Steg, 2007). Therefore, when SVIs demonstrate attractiveness when sharing virtual content and green campaigns entertainingly, they likely induce consumers’ HG motivation:

H2.

SVIs’ attractiveness will positively influence consumers’ egoistic appeals, specifically a) gain and b) hedonic goal motivations.

With the emerging trend of de-influencing – discouraging consumers from buying certain products or sharing negative reviews (Karimi, 2023) – the amount of consumer skepticism toward HIs with mega followers or inconsistent sponsorship has increased. In contrast, SVIs that demonstrate environmental justice could be more effective in establishing and maintaining trustworthiness because the SVI operator can curate green messages coherently and manage sponsored green ads using a strategic plan. Moreover, the nature of SVIs that present virtually created green products and travel to other countries in a virtual environment may appeal to consumers since they are not wasting outfits or products that are worn or used only once, which HIs typically do (Ameen et al., 2023). Given that NG motivation is associated with appropriateness and setting a good example (Lindenberg and Steg, 2007), SVIs’ trustworthiness may appeal to consumers who are motivated to fulfill their social responsibility. Therefore, when SVIs demonstrate trustworthiness by sharing environmental activism in a virtual environment, they are likely to induce consumers’ NG motivation:

H3.

SVIs’ trustworthiness will positively influence consumers’ altruistic appeals, specifically normative goal motivation.

In the context of social media green marketing, several factors drive consumers to engage with influencers. Previous studies have reported that consumers engage with influencers for various reasons, including acquiring utilitarian benefits, entertainment value, building emotional connections, attaining social approval and affirming personal identity (e.g. Mirowska and Arsenyan, 2023; Yu et al., 2024). Consequently, consumers engaged with SVIs are likely to read, like, and share posts as well as purchase green products (Chen et al., 2021). In summary, different types of pro-environmental goal motivations facilitate consumers’ engagement with SVIs:

H4.

Consumers’ higher gain goal motivation will lead to higher SVI engagement.

H5.

Consumers’ higher hedonic goal motivation will lead to higher SVI engagement.

H6.

Consumers’ higher normative goal motivation will lead to higher SVI engagement.

H7.

Three goal frames, a) gain, b) hedonic and c) normative goal motivation, will mediate the relationship between each of the source credibility factors and SVI engagement.

The present study focuses on pro-environmental motivations toward SVIs, whose real-world representations vary widely, ranging from animated characters to computer-generated graphics and increasingly AI-generated human-like personas. To isolate the proposed psychological mechanisms, the sampling frame was purposefully bounded to young female social media users within the age range of 18–40 years old residing in the USA. This demographic group has been shown to exhibit relatively higher engagement with social media influencers and sustainability-related consumption content (Djafarova and Rushworth, 2017; Hageman et al., 2024), and thus serves as a theoretically meaningful boundary condition.

This research also used scenario-based survey, exposing participants to a single Instagram post featuring a fictional human-like SVI created using Midjourney, which allowed the study to minimize potential confounds associated with pre-existing attitudes toward real influencers or memory recall bias (Balaji et al., 2017; Sajid et al., 2024), thereby enabling a more controlled examination of source-related motivational processes. The stimulus depicted the SVI promoting an eco-friendly organic cotton bag, selected as a recognizable sustainability cue capable of activating pro-environmental perceptions (Karmarkar and Bollinger, 2015).

In the beginning of the survey, participants were asked to report the name of a VI they currently follow on Instagram to ensure familiarity with the phenomenon and confirm their prior social media experience. Then, participants were exposed to the stimulus of a fictional SVI promoting an eco-friendly organic cotton bag. Finally, the participants were presented with a series of questions.

Perceived expertise, perceived attractiveness, perceived trustworthiness were measured using five items in each construct, and GG, HG and NG motivation measurements were adapted from various sources which were revised based on feedback provided by two professors. Finally, engagement with SVI measurement was adapted from a previous study, reflecting participants’ engagement intentions toward the presented SVI stimulus in the current study (see Table 2). All items were measured using a seven-point Likert scale (1 = strongly disagree–7 = strongly agree).

Table 2

Results of factor loadings, reliability and source of the measurement items

ConstructItemsFactor loadingsCronbach’s αCRSource
Perceived expertisePE10.860.960.96Ohanian (1990) 
PE20.90
PE30.91
PE40.94
PE50.92
Perceived attractivenessPA10.850.910.91
PA20.81
PA30.81
PA40.85
PA50.69
Perceived trustworthinessPT10.920.960.96
PT20.91
PT30.90
PT40.95
PT50.89
Gain goal motivationsGG10.470.700.70Khan et al. (2023), Schuitema et al. (2013) 
GG20.77
GG30.69
GG40.66
Hedonic goal motivationsHG10.890.920.92
HG20.88
HG30.91
Normative goal motivationsNG10.890.880.88
NG20.86
NG30.78
Engagement with The SVIESVI10.750.950.94Chen et al. (2021) 
ESVI 20.75
ESVI 30.80
ESVI 40.79
ESVI 50.80
ESVI 60.71
ESVI 70.92
ESVI 80.92
Source(s): Authors’ own work

A total of 366 participants were recruited using the Prolific platform. Most of the participants were young (Mage = 29.8), white (53.8%), had earned a bachelor’s degree (38.8%), with household incomes ranging from $20,000–$80,000 (55.8%). Participants responded that they had been following VIs for more than six months (36.9%), checked VIs’ posts once a week (63.9%), and spent less than 10 min a day watching VIs’ posts (76.0%).

Data analysis was conducted using SPSS 29.0 and Amos 26.0. To assess common method bias, Harman’s single-factor test showed that the first factor accounted for 44.59% of the variance, below the 50% threshold (Di et al., 2024; Podsakoff and Organ, 1986). Additionally, the single-factor model showed poor fit, whereas the hypothesized multi-factor model demonstrated good fit, and the significant chi-square difference between two models (Δχ2 = 4038.18, Δdf = 21, p < 0.001) suggested that common method bias was unlikely to be a major concern (Podsakoff et al., 2003; Pang et al., 2024).

The fit indices suggested that the measurement model was a good fit to the data (χ2 = 926.18, df = 470, p < 0.001, CMIN/df = 1.97, CFI = 0.96, TLI = 0.95, RMSEA = 0.05, SRMR = 0.04). Table 2 presents factor loadings and the reliability of all constructs as measured by Cronbach’s alpha, composite reliability (CR). Although the factor loadings for gain goal motivation ranged from 0.47–0.77, meeting the minimum acceptable threshold (Hinkin, 1995; Howard, 2016), Cronbach’s alpha values of the scale items were also above the recommended threshold of 0.70, supporting the reliability of the measures (Nunnally and Bernstein, 1978).

Table 3 represents the results for average variance extracted (AVE), convergent validity and discriminant validity assessed using both the Fornell–Larcker criterion and the heterotrait–monotrait (HTMT) ratio, with a threshold value of 0.85 (Henseler et al., 2015). The AVE for gain goal motivation was below the recommended level of 0.50, indicating comparatively weaker convergent validity than the other constructs. However, given that AVE considered a more conservative indicator of convergent validity than CR (Bagozzi and Yi, 1988; Fornell and Larcker, 1981; Hair et al., 2010), and consistent with prior research that has retained constructs with AVE values below 0.50 when composite reliability was acceptable (e.g. Elayat and Elalfy, 2025; Sharma and Srivastava, 2025), the overall discriminant and convergent validity of the measurement model was considered acceptable.

Table 3

Results of convergent and discriminant validity

ConstructsAVENGPEPAPTGGHGVIE
NG0.720.85
PE0.820.330.91
PA0.670.260.540.82
PT0.840.320.850.490.91
GG0.370.690.330.340.320.61
HG0.800.760.350.370.340.720.89
ESVI0.670.540.670.490.690.510.560.82
AVEPEPAPTGGHGNGVIE
PE0.82
PA0.670.56
PT0.840.850.50
GG0.370.340.390.33
HG0.800.340.380.340.69
NG0.720.330.290.320.650.78
ESVI0.670.700.490.700.500.540.55
Note(s):

PE = perceived expertise; PA = perceived attractiveness; PT = perceived trustworthiness; GG = gain goal motivation; HG = hedonic goal motivation; NG = normative goal motivation; ESVI = Engagement with the SVI

Source(s): Authors’ own work

Structural equation modeling (SEM) results demonstrated a good model fit (χ2 = 941.74, df = 474, p < 0.001, CMIN/df = 1.99, CFI = 0.96, RMSEA = 0.05, SRMR = 0.06). Path analysis revealed that perceived expertise was positively associated with GG (β = 0.19, t = 2.70. p < 0.01) and HG motivation (β = 0.19, t = 3.44. p < 0.001), supporting H1a and H1b. Perceived attractiveness was positively associated with GG (β = 0.17, t = 2.54. p < 0.05) and HG motivation (β = 0.19, t = 3.69. p < 0.001), supporting H2a and H2b. Perceived trustworthiness was positively associated with NG motivation (β = 0.27, t = 5.16. p < 0.001), supporting H3. HG (β = 0.15, t = 2.00. p < 0.05), and NG motivation were positively associated with engagement (β = 0.18, t = 2.46. p < 0.05), respectively, supporting H5 and H6. However, GG motivation did not have an association with engagement (β = 0.07, t = 0.94. p = .35), not supporting H4 (see Figure 1). Finally, the model explained 61.2% of the variance in engagement (R2 = 0.61), indicating strong overall explanatory power (Meyvis and Van Osselaer, 2018).

Figure 1
A conceptual model presents source credibility factors, goal motivations, and engagement with the S V I through linked pathways.The conceptual model is divided into Source Credibility Model and Goal-Framing Theory sections. Source Credibility Model includes expertise, attractiveness, and trustworthiness. Expertise points to gain goal motivation with 0.19 and to hedonic goal motivation with 0.19. Attractiveness points to gain goal motivation with 0.17 and to hedonic goal motivation with 0.19. Trustworthiness points to normative goal motivation with 0.27. Gain goal motivation points to engagement with the S V I with 0.07 and is marked non-significant. Hedonic goal motivation points to engagement with the S V I with 0.15. Normative goal motivation points to engagement with the S V I with 0.18. The diagram also displays R squared values of 0.10 for gain goal motivation, 0.11 for hedonic goal motivation, 0.07 for normative goal motivation, and 0.61 for engagement with the S V I.

Results of the hypothesized model

Source: Authors’ own work

Figure 1
A conceptual model presents source credibility factors, goal motivations, and engagement with the S V I through linked pathways.The conceptual model is divided into Source Credibility Model and Goal-Framing Theory sections. Source Credibility Model includes expertise, attractiveness, and trustworthiness. Expertise points to gain goal motivation with 0.19 and to hedonic goal motivation with 0.19. Attractiveness points to gain goal motivation with 0.17 and to hedonic goal motivation with 0.19. Trustworthiness points to normative goal motivation with 0.27. Gain goal motivation points to engagement with the S V I with 0.07 and is marked non-significant. Hedonic goal motivation points to engagement with the S V I with 0.15. Normative goal motivation points to engagement with the S V I with 0.18. The diagram also displays R squared values of 0.10 for gain goal motivation, 0.11 for hedonic goal motivation, 0.07 for normative goal motivation, and 0.61 for engagement with the S V I.

Results of the hypothesized model

Source: Authors’ own work

Close modal

We conducted mediation analysis using 5,000 bootstrapped samples with a 95% bias-corrected confidence interval (Preacher and Hayes, 2008). Perceived expertise and perceived attractiveness had a significant indirect effect on engagement through HG motivation. Perceived trustworthiness also had a significant indirect effect on engagement through NG motivation, supporting H7b and H7c (see Table 4).

Table 4

Results of mediation analysis

RelationshipDirect effectIndirect effectConfidence intervalp-valueConclusion
PE → HG → ESVI0.20 (0.01)0.04LowerUpper0.02Partial mediation
0.010.10
PA → HG → ESVI0.12 (0.05)0.05LowerUpper0.02Partial mediation
0.010.13
PT → NG → ESVI0.32 (0.000)0.04LowerUpper0.03Partial mediation
0.010.10
Source(s): Authors’ own work

Using scenario-based survey method, this study examined young female consumers’ pro-environmental motivations to engage with the SVI based on the integrated framework of source credibility and goal-framing theory. The findings indicate that, within the context of stimulus presented in this study, young female consumers’ engagement with the SVI’s content was closely associated with HG and NG, which were linked to different perceived source characteristics of the SVI.

The results supported all hypotheses with the exception of H4 and H7a. Perceived expertise and perceived attractiveness were associated with GG and HG motivations, indicating similar motivational patterns whereby the SVI may be perceived as both functionally informative and experientially engaging sources in sustainability contexts (Jiang et al., 2024; Kim and Park, 2024). The SVI’s ability to simultaneously activate utilitarian and hedonic motivations highlights the versatility of their persuasive appeal. Interestingly, perceived expertise and perceived attractiveness were associated with engagement with the SVI mediated by HG motivation, suggesting emotionally rewarding component may play a role. In addition, the distinctive and idealized characteristics associated with the SVI (e.g. hyper-realistic appearance or unique virtual personas) may provide contextual cues in promoting engagement with SVIs (Nguyen and Hoang, 2025).

Perceived trustworthiness showed the strongest association to NG motivation, suggesting the potential viability of SVIs’ staged credibility for effective green marketing on social media (Lou et al., 2023). As the only motivation grounded in altruistic intent, the direct link between NG motivation and SVI engagement underscores the continued importance of trustworthiness in fostering meaningful connections. This suggests that trustworthiness remains a central driver of impactful engagement, even in the context of digitally rendered influencers. Perceived trustworthiness was also associated with engagement with the SVI mediated by NG motivation, indicating that the SVI could convey a consistent ethical image consistent with the prior study suggesting that SVIs could appeal to consumers seeking value-based content (Wan et al., 2025).

However, GG motivation did not have an association with engagement with the SVI. This could be attributed to several reasons. First, while current SVIs may able to activate utilitarian, self-interested motives GG frames may not be the primary drivers of consumer engagements, not providing a sufficient level of beneficial content to establish an engaged relationship with them. Instead, the results reveal that NG and HG goal frames exert meaningful, albeit modest, effects on engagement, highlighting their practical importance.

Overall, the key findings of the research suggest that different credibility dimensions of the SVI are associated with distinct motivational orientations underlying pro-environmental engagement. Specifically, experiential and value-related motivations were more closely related to engagement than purely utilitarian motivations. This pattern is similar with recent studies on sustainability-oriented VIs (Jiang et al., 2024; Riyat et al., 2025), and further aligns with broader evidence highlighting the importance of hedonic value in VI marketing contexts (Kim et al., 2025; Zhang et al., 2025).

This work offers several theoretical contributions to the fields of VI marketing, social media green marketing and source credibility. First, the findings contribute to the VI marketing literature. Previous literature has primarily focused on examining the effectiveness of marketing between HIs and VIs (Alboqami, 2023; Yang et al., 2023) or investigating the endorsement effectiveness of VIs (Jiang et al., 2024; Gerrath et al., 2024). Building on this stream, the present study provides additional insights by examining SVIs as a specific subtype and exploring how different perceived source characteristics are associated with distinct motivational orientations. In doing so, the findings contribute to a more nuanced understanding of how SVIs may be perceived in social media contexts, offering novel directions for future research.

Second, this study contributes to the social media green marketing literature. Prior research has predominantly investigated the effectiveness of green marketing on social media by focusing solely on the normative influences or green campaigns initiated by businesses (Akhtar et al., 2024; De Groot and Steg, 2009; Rienda et al., 2023). This study contributes by shifting analytical focus to the motivational processes by adopting psychologically grounded perspectives, providing further exploration of motivation-based mechanisms in social media green marketing literature.

Finally, this study contributes to the source credibility literature by integrating source credibility with goal-framing theory, broadening research applications. Traditionally, this model has been employed to assess how the persuasiveness of endorsers influenced followers’ attitudes and behaviors (Kumar, 2023; Mainolfi and Vergura, 2022). By incorporating goal-framing theory, the integrated framework provides a process-focused perspective and deeper psychological insights, addressing the limitations of source credibility and enhancing our understanding of the current knowledge on SVIs.

The research findings provide practical insights for brand marketers as well as organizations engaged in social marketing initiatives that apply marketing principles to promote socially beneficial behaviors such as sustainability among young audiences. In particular, the results indicate that key source characteristics manifest differently in SVIs, underscoring the need for tailored influencer communication strategies.

Specifically, brands can leverage SVIs in green marketing more effectively by prioritizing visually appealing and engaging representations, rather than emphasizing financial benefits or relying solely on the SVI’s expertise. SVI-generated content can promote digitized green products and cultivate excitement around sustainable fashion. For instance, a recent Coach campaign employed creative storytelling in a simulated setting to promote its Spring bag collection (Braun, 2024). Similarly, incorporating gamification into sustainability campaigns may offer an effective complementary approach. These insights could be leveraged by public institutions and educational programs to refine environmental awareness campaigns (Kotler and Lee, 2008; White et al., 2019). For nonprofit and educational organizations, these results highlight the importance of utilizing SVIs to trigger normative and hedonic motivations rather than focusing solely on functional gains. Taken together, these findings indicate that pro-environmental initiatives may be effectively communicated through social media.

Second, because NG is motivated by altruistic sentiment and the valuation of social norms, brand marketers could implement value-based marketing in their promotional strategies to educate consumers and build strong relationships with them, affirming the perspective that SVIs could appeal to those seeking emergent ethical standards in a digital environment (Wagman, 2020). As such, brand marketers could use SVIs to highlight socially responsible practices such as Fair Trade and veganism by effectively signaling consistency and authenticity. In doing so, SVIs can enable brand marketers to build trust and credibility on issues that matter to their target audiences. Beyond commercial contexts, these strategies may also support social marketing initiatives aimed at reinforcing social norms related to responsible consumption and environmental stewardship.

Finally, the research results demonstrated that SVIs are not necessarily ideal for building connections through informativeness. Therefore, brand marketers could consider hybrid promotional strategies that incorporate both SVIs and HIs to reach a broad group of consumers with varying motivations underlying their pro-environmental behaviors. For instance, brands can collaborate with, or create an SVI with visually aligning core brand values to promote a compelling campaign while HIs provide the nuanced, expert-led details of sustainability initiatives. These hybrid approaches align with sustainability communication and social marketing strategies designed to encourage informed and sustained pro-environmental behavior, particularly in public sustainability campaigns and educational initiatives aimed at engaging young audiences.

This study provided valuable insights by addressing the unique features of VIs in the context of sustainability, which has been underexplored. Nevertheless, the study had a few limitations. First, this study employed a fictional human-like SVI as the stimulus. However, SVIs in the current real-life circumstances vary in appearances, identities, and ethnicities. Accordingly, future research may benefit from examining SVIs with more clearly specified attributes to enhance external validity or from employing research designs that incorporate interactions with real-world influencers to provide additional insights into potential causal mechanisms.

Second, the relatively low AVE for gain goal motivation suggests that this construct may require further refinement and validation in future research. Although prior studies have retained constructs with AVE values below recommended thresholds when other measurement criteria were acceptable (Bagozzi and Yi, 1988; Fornell and Larcker, 1981), this issue should nevertheless be acknowledged as a measurement limitation of the present study.

Third, the exclusive focus on young female consumers represents a theoretically meaningful boundary condition. Future research may extend the study by examining whether the observed relationships hold across more diverse demographic groups.

Fourth, the reliance on cross-sectional, self-reported data poses certain methodological limitations. Since data were collected at a single point in time, this study precludes the establishment of definitive causal inferences between SVI source characteristics and consumer motivations. Future research could address these constraints by employing longitudinal designs or experimental manipulations to more rigorously validate the causal pathways identified in this study.

Finally, while SVIs may enhance pro-environmental motivation, the increasing use of AI-driven agents also raises concerns regarding transparency, accountability and potential liability for misleading sustainability claims. In particular, issues surrounding accountability and liability for misleading or exaggerated environmental messaging warrant greater scholarly and regulatory attention as AI-mediated communication becomes more prevalent (Guglyvatyy, 2026). Future research may further examine these issues from regulatory perspectives.

Akhtar
,
N.
,
Hameed
,
Z.
,
Islam
,
T.
,
Pant
,
M.K.
,
Sharma
,
A.
,
Rather
,
R.A.
and
Kuzior
,
A.
(
2024
), “
Avatars of influence: understanding how virtual influencers trigger consumer engagement on online booking platforms
”,
Journal of Retailing and Consumer Services
, Vol.
78
, p.
103742
, doi: .
Alboqami
,
H.
(
2023
), “
Trust me, I’m an influencer! – causal recipes for customer trust in artificial intelligence influencers in the retail industry
”,
Journal of Retailing and Consumer Services
, Vol.
72
, p.
103242
, doi: .
Ameen
,
N.
,
Cheah
,
J.H.
,
Ali
,
F.
,
El-Manstrly
,
D.
and
Kulyciute
,
R.
(
2023
), “
Risk, trust, and the roles of human versus virtual influencers
”,
Journal of Travel Research
, Vol.
63
No.
6
, doi: .
Arsenyan
,
J.
and
Mirowska
,
A.
(
2021
), “
Almost human? A comparative case study on the social media presence of virtual influencers
”,
International Journal of Human-Computer Studies
, Vol.
155
, p.
102694
, doi: .
Bagozzi
,
R.P.
and
Yi
,
Y.
(
1988
), “
On the evaluation of structural equation models
”,
Journal of the Academy of Marketing Science
, Vol.
16
No.
1
, pp.
74
-
94
.
Balaji
,
M.S.
,
Roy
,
S.K.
and
Quazi
,
A.
(
2017
), “
Customers’ emotion regulation strategies in service failure encounters
”,
European Journal of Marketing
, Vol.
51
Nos
5-6
, pp.
960
-
982
.
Bargh
,
J.A.
,
Gollwitzer
,
P.M.
,
Lee-Chai
,
A.
,
Barndollar
,
K.
and
Trotschel
,
R.
(
2001
), “
The automated will: nonconscious activation and pursuit of behavioral goals
”,
Journal of Personality and Social Psychology
, Vol.
81
No.
6
, p.
1014e1027
.
Berlyne
,
D.E.
(
1974
),
Studies in the New Experimental Aesthetics: Steps toward an Objective Psychology of Aesthetic Appreciation
,
Hemisphere
.
Braun
,
J.
(
2024
), “
Coach launches ‘Find Your Courage’ campaign featuring virtual human and celebrities
”,
Fashion Network
,
17 February, available at:
Link to Coach launches ‘Find Your Courage’ campaign featuring virtual human and celebritiesLink to the cited article.
Brown
,
D.
and
Hayes
,
N.
(
2008
),
Influencer Marketing
,
Abington-on-Thames
,
Routledge
.
Business Research Insights
(
2024
), “
Green marketing market size, share, growth, and industry analysis
”,
available at:
Link to Green marketing market size, share, growth, and industry analysisLink to the cited article.
Chen
,
K.J.
,
Lin
,
J.S.
and
Shan
,
Y.
(
2021
), “
Influencer marketing in China: the roles of parasocial identification, consumer engagement, and inferences of manipulative intent
”,
Journal of Consumer Behaviour
, Vol.
20
No.
6
, pp.
1436
-
1448
, doi: .
Dabiran
,
E.
,
Farivar
,
S.
,
Wang
,
F.
and
Grant
,
G.
(
2024
), “
Virtually human: anthropomorphism in virtual influencer marketing
”,
Journal of Retailing and Consumer Services
, Vol.
79
, p.
103797
, doi: .
De Groot
,
J.I.
and
Steg
,
L.
(
2009
), “
Mean or green: which values can promote stable pro‐environmental behavior?
”,
Conservation Letters
, Vol.
2
No.
2
, pp.
61
-
66
, doi: .
Dencheva
,
V.
(
2023
), “
Influencer marketing market size worldwide from 2016 to 2023
”,
Statista
,
available at:
Link to Influencer marketing market size worldwide from 2016 to 2023Link to the cited article.
Di
,
K.
,
Chen
,
W.
,
Shi
,
Q.
,
Cai
,
Q.
and
Liu
,
S.
(
2024
), “
Analysing the impact of coupled domestic demand dynamics of green and low-carbon consumption in the market based on SEM-ANN
”,
Journal of Retailing and Consumer Services
, Vol.
79
, p.
103856
, doi: .
Djafarova
,
E.
and
Rushworth
,
C.
(
2017
), “
Exploring the credibility of online celebrities’ Instagram profiles in influencing the purchase decisions of young female users
”,
Computers in Human Behavior
, Vol.
68
, pp.
1
-
7
.
do Canto
,
N.R.
,
Grunert
,
K.G.
and
Dutra de Barcellos
,
M.
(
2023
), “
Goal-framing theory in environmental behaviours: review, future research agenda and possible applications in behavioural change
”,
Journal of Social Marketing
, Vol.
13
No.
1
, pp.
20
-
40
, doi: .
Elayat
,
A.M.A.
and
Elalfy
,
R.M.
(
2025
), “
Using SOR theory to examine the impact of AI Chatbot quality on Gen Z’s satisfaction and advocacy within the fast-food sector
”,
Young Consumers
, Vol.
26
No.
2
, pp.
352
-
383
.
El Hedhli
,
K.
,
Zourrig
,
H.
,
Al Khateeb
,
A.
and
Alnawas
,
I.
(
2023
), “
Stereotyping human-like virtual influencers in retailing: does warmth prevail over competence?
”,
Journal of Retailing and Consumer Services
, Vol.
75
, p.
103459
, doi: .
Filieri
,
R.
,
Acikgoz
,
F.
and
Du
,
H.
(
2023
), “
Electronic word-of-mouth from video bloggers: the role of content quality and source homophily across hedonic and utilitarian products
”,
Journal of Business Research
, Vol.
160
, p.
113774
, 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: .
Franke
,
C.
,
Groeppel-Klein
,
A.
and
Müller
,
K.
(
2022
), “
Consumers’ responses to virtual influencers as advertising endorsers: novel and effective or uncanny and deceiving?
”,
Journal of Advertising
, Vol.
52
No.
4
, pp.
1
-
17
, doi: .
Gerrath
,
M.H.
,
Olya
,
H.
,
Shah
,
Z.
and
Li
,
H.
(
2024
), “
Virtual influencers and pro-environmental causes: the roles of message warmth and trust in experts
”,
Journal of Business Research
, Vol.
175
, p.
114520
, doi: .
Guglyvatyy
,
E.
(
2026
), “
Artificial integrity? Legal, ethical and technological perspectives on AI greenwashing
”,
World Development Sustainability
, p.
100286
.
Hageman
,
E.
,
Kumar
,
V.
,
Duong
,
L.
,
Kumari
,
A.
and
McAuliffe
,
E.
(
2024
), “
Do fast fashion sustainable business strategies influence attitude, awareness and behaviours of female consumers?
”,
Business Strategy and the Environment
, Vol.
33
No.
2
, pp.
1081
-
1098
, doi: .
Hair
,
J.F.
, Jr
,
Black
,
W.C.
,
Babin
,
B.J.
and
Anderson
,
R.E.
(
2010
), “
Multivariate data analysis
”, p.
785
.
Hartmann
,
P.
,
Apaolaza
,
V.
,
Paredes
,
M.R.
and
D’Souza
,
C.
(
2025
), “
Virtual nature experiences on instagram: how greenfluencers’ nature posts drive climate action
”,
International Journal of Advertising
, Vol.
44
No.
4
, pp.
620
-
650
.
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: .
Hinkin
,
T.R.
(
1995
), “
A review of scale development practices in the study of organizations
”,
Journal of Management
, Vol.
21
No.
5
, pp.
967
-
988
.
Horton
,
D.
and
Richard Wohl
,
R.
(
1956
), “
Mass communication and Para-social interaction
”,
Psychiatry
, Vol.
19
No.
3
, pp.
215
-
229
, doi: .
Howard
,
M.C.
(
2016
), “
A review of exploratory factor analysis decisions and overview of current practices: what we are doing and how can we improve?
”,
International Journal of Human-Computer Interaction
, Vol.
32
No.
1
, pp.
51
-
62
.
Huh
,
J.
and
Kim
,
N.L.
(
2024
), “
Green as the new status symbol: examining green signaling effects among gen Z and millennial consumers
”,
Journal of Fashion Marketing and Management: An International Journal
, Vol.
28
No.
6
, pp.
1237
-
1255
.
Hwang
,
S.
,
Zhang
,
S.
,
Liu
,
X.
and
Srinivasan
,
K.
(
2024
), “
Should your brand hire a virtual influencer?
”,
Harvard Business Review
,
available at:
Link to Should your brand hire a virtual influencer?Link to the cited article.
Jain
,
S.
and
Rathi
,
R.
(
2023
), “
Do consumer values and perceived readiness impact secondhand luxury consumption? A goal-framing theory approach
”,
Journal of Product & Brand Management
, Vol.
32
No.
7
, pp.
973
-
987
, doi: .
Jhawar
,
A.
,
Kumar
,
P.
and
Varshney
,
S.
(
2023
), “
The emergence of virtual influencers: a shift in the influencer marketing paradigm
”,
Young Consumers
, Vol.
24
No.
4
, pp.
468
-
484
.Link to The emergence of virtual influencers: a shift in the influencer marketing paradigmLink to the cited article.
Jiang
,
K.
,
Zheng
,
J.
and
Luo
,
S.
(
2024
), “
Green power of virtual influencer: the role of virtual influencer image, emotional appeal, and product involvement
”,
Journal of Retailing and Consumer Services
, Vol.
77
, p.
103660
, doi: .
Kang
,
J.Y.M.
and
Kim
,
J.
(
2017
), “
Online customer relationship marketing tactics through social media and perceived customer retention orientation of the green retailer
”,
Journal of Fashion Marketing and Management: An International Journal
, Vol.
21
No.
3
, pp.
298
-
316
.
Karimi
,
F.
(
2023
), “
Forget the influencers: here come the ‘deinfluencers’
”,
CNN
,
available at:
Link to Forget the influencers: here come the ‘deinfluencers’Link to the cited article.
Karmarkar
,
U.R.
and
Bollinger
,
B.
(
2015
), “
BYOB: how bringing your own shopping bags leads to treating yourself and the environment
”,
Journal of Marketing
, Vol.
79
No.
4
, pp.
1
-
15
.
Kelly
,
C.
(
2023
), “
Influencers have greatest impact on consumer sustainability choices, unilever finds
”,
Marketing Dive
,
available at:
Link to Influencers have greatest impact on consumer sustainability choices, unilever findsLink to the cited article.
Khan
,
K.
,
Hameed
,
I.
,
Akram
,
U.
and
Hussainy
,
S.K.
(
2023
), “
Do normative triggers and motivations influence the intention to purchase organic food? An application of the goal-framing theory
”,
British Food Journal
, Vol.
125
No.
3
, pp.
886
-
906
, doi: .
Ki
,
C.W.C.
and
Kim
,
Y.K.
(
2019
), “
The mechanism by which social media influencers persuade consumers: the role of consumers’ desire to mimic
”,
Psychology & Marketing
, Vol.
36
No.
10
, pp.
905
-
922
, doi: .
Kılıç
,
İ.
and
Gürlek
,
M.
(
2023
), “
Green influencer marketing: conceptualization, scale development, and validation: an application to tourism products
”,
Journal of Sustainable Tourism
, Vol.
32
No.
10
, pp.
1
-
26
, doi: .
Kim
,
H.
and
Park
,
M.
(
2024
), “
When digital celebrity talks to you: how human-like virtual influencers satisfy consumer’s experience through social presence on social media endorsements
”,
Journal of Retailing and Consumer Services
, Vol.
76
, p.
103581
, doi: .
Kim
,
J.
,
Kim
,
M.
and
Lee
,
S.M.
(
2025
), “
Unlocking trust dynamics: an exploration of playfulness, expertise, and consumer behavior in virtual influencer marketing
”,
International Journal of Human–Computer Interaction
, Vol.
41
No.
1
, pp.
378
-
390
.
Kopetz
,
C.E.
,
Kruglanski
,
A.W.
,
Arens
,
Z.G.
,
Etkin
,
J.
and
Johnson
,
H.M.
(
2012
), “
The dynamics of consumer behavior: a goal systemic perspective
”,
Journal of Consumer Psychology
, Vol.
22
No.
2
, p.
208e223
.
Korenewsky
,
A.
(
2024
), “
Virtual influencers as climate activists
”,
LinkedIn
,
available at:
Link to Virtual influencers as climate activistsLink to the cited article.
Kotler
,
P.
and
Lee
,
N.
(
2008
),
Social Marketing: Influencing Behaviors for Good
, ( (3rd) ed.)
Sage Publications
.
Kumar
,
P.
(
2023
), “
Effects of in-store information quality and store credibility on consumer engagement in green retailing
”,
Journal of Retailing and Consumer Services
, Vol.
71
, p.
103195
, doi: .
Kumar
,
R.
,
Kaushal
,
S.K.
and
Kumar
,
K.
(
2023
), “
Does source credibility matter in promoting sustainable consumption? Developing an integrated model
”,
Social Responsibility Journal
, Vol.
19
No.
7
, pp.
1320
-
1347
, doi: .
Leggett
,
K.L.
and
Davies
,
W.E.
(
2024
), “How sustainability virtual influencers and their followers utilize hashtags”, In
International Conference on Sustainable Design and Manufacturing
,
Singapore
Springer Nature Singapore
, pp.
113
-
123
.
Lim
,
R.E.
and
Lee
,
S.Y.
(
2023
), “
You are a virtual influencer!’: understanding the impact of origin disclosure and emotional narratives on parasocial relationships and virtual influencer credibility
”,
Computers in Human Behavior
, Vol.
148
, p.
107897
.
Lin
,
Q.
,
Ng
,
S.I.
,
Kamal Basha
,
N.
,
Luo
,
X.
and
Li
,
Y.
(
2024
), “
Impact of virtual influencers on customer engagement of generation Z consumers: a presence perspective
”,
Young Consumers
, Vol.
25
No.
6
, pp.
851
-
868
, doi: .
Lindenberg
,
S.
and
Steg
,
L.
(
2007
), “
Normative, gain and hedonic goal frames guiding environmental behavior
”,
Journal of Social Issues
, Vol.
63
No.
1
, pp.
117
-
137
, doi: .
Lou
,
C.
,
Kiew
,
S.T.J.
,
Chen
,
T.
,
Lee
,
T.Y.M.
,
Ong
,
J.E.C.
and
Phua
,
Z.
(
2023
), “
Authentically fake? How consumers respond to the influence of virtual influencers
”,
Journal of Advertising
, Vol.
52
No.
4
, pp.
540
-
557
, doi: .
Ma
,
Y.
and
Li
,
J.
(
2024
), “
How humanlike is enough?: uncover the underlying mechanism of virtual influencer endorsement
”,
Computers in Human Behavior: Artificial Humans
, Vol.
2
No.
1
, p.
100037
.
Mainolfi
,
G.
and
Vergura
,
D.T.
(
2022
), “
The influence of fashion blogger credibility, engagement and homophily on intentions to buy and e-WOM. Results of a binational study
”,
Journal of Fashion Marketing and Management: An International Journal
, Vol.
26
No.
3
, pp.
473
-
494
, doi: .
Meyvis
,
T.
and
Van Osselaer
,
S.M.
(
2018
), “
Increasing the power of your study by increasing the effect size
”,
Journal of Consumer Research
, Vol.
44
No.
5
, pp.
1157
-
1173
.
Miao
,
L.
and
Wei
,
W.
(
2013
), “
Consumers’ pro-environmental behavior and the underlying motivations: a comparison between household and hotel settings
”,
International Journal of Hospitality Management
, Vol.
32
, pp.
102
-
112
, doi: .
Mirowska
,
A.
and
Arsenyan
,
J.
(
2023
), “
Sweet escape: the role of empathy in social media engagement with human versus virtual influencers
”,
International Journal of Human-Computer Studies
, Vol.
174
, p.
103008
, doi: .
Nguyen
,
D.H.
and
Hoang
,
L.C.
(
2025
), “
Customers’ engagement with virtual influencers: the roles of parasocial relationship, emotional attachment
”,
Young Consumers
, Vol.
27
No.
1
,
available at:
Link to Customers’ engagement with virtual influencers: the roles of parasocial relationship, emotional attachmentLink to the cited article.
Nunnally
,
J.C.
and
Bernstein
,
I.
(
1978
),
Psychometric Theory
,
McGraw-Hill
,
New York, NY
.
Ohanian
,
R.
(
1990
), “
Construction and validation of a scale to measure celebrity endorsers’ perceived expertise, trustworthiness, and attractiveness
”,
Journal of Advertising
, Vol.
19
No.
3
, pp.
39
-
52
, doi: .
Pang
,
H.
,
Ruan
,
Y.
and
Zhang
,
K.
(
2024
), “
Deciphering technological contributions of visibility and interactivity to website atmospheric and customer stickiness in AI-driven websites: the pivotal function of online flow state
”,
Journal of Retailing and Consumer Services
, Vol.
78
, p.
103795
, doi: .
Phua
,
J.
,
Jin
,
S.V.
and
Hahm
,
J.M.
(
2018
), “
Celebrity-endorsed e-cigarette brand instagram advertisements: effects on young adults’ attitudes towards e-cigarettes and smoking intentions
”,
Journal of Health Psychology
, Vol.
23
No.
4
, pp.
550
-
560
, doi: .
Podsakoff
,
P.M.
and
Organ
,
D.W.
(
1986
), “
Self-reports in organizational research: problems and prospects
”,
Journal of Management
, Vol.
12
No.
4
, pp.
531
-
544
, 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
, p.
879
.
Preacher
,
K.J.
and
Hayes
,
A.F.
(
2008
), “
Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models
”,
Behavior Research Methods
, Vol.
40
No.
3
, pp.
879
-
891
, doi: .
Quach
,
S.
,
Cheah
,
I.
and
Thaichon
,
P.
(
2024
), “
The power of flattery: enhancing prosocial behavior through virtual influencers
”,
Psychology & Marketing
, Vol.
41
No.
7
, doi: .
Rienda
,
L.
,
Ruiz-Fernández
,
L.
,
Poveda-Pareja
,
E.
and
Andreu-Guerrero
,
R.
(
2023
), “
CSR drivers of fashion SMEs and performance: the role of internationalization
”,
Journal of Fashion Marketing and Management: An International Journal
, Vol.
27
No.
3
, pp.
561
-
576
, doi: .
Riyat
,
M.K.
,
Kakkar
,
A.
,
Sharma
,
R.
and
Walia
,
S.
(
2025
), “
Exploring youths’ willingness and objections to follow virtual influencers promoting sustainable consumption: an integration of VBN, AIDUA, and SSRIT frameworks
”,
Young Consumers
, Vol.
26
No.
5
, pp.
886
-
913
.
Ruggeri
,
C.
(
2022
), “
Virtual influencers: a new form of green activism
”,
Econyl
,
available at:
Link to Virtual influencers: a new form of green activismLink to the cited article.
Sajid
,
M.
,
Zakkariya
,
K.A.
,
Suki
,
N.M.
and
Islam
,
J.U.
(
2024
), “
When going green goes wrong: the effects of greenwashing on brand avoidance and negative word-of-mouth
”,
Journal of Retailing and Consumer Services
, Vol.
78
, p.
103773
.
Salem
,
S.F.
and
Alanadoly
,
A.B.
(
2021
), “
Personality traits and social media as drivers of word-of-mouth towards sustainable fashion
”,
Journal of Fashion Marketing and Management: An International Journal
, Vol.
25
No.
1
, pp.
24
-
44
.
Schlaile
,
M.P.
,
Klein
,
K.
and
Böck
,
W.
(
2018
), “
From bounded morality to consumer social responsibility: a transdisciplinary approach to socially responsible consumption and its obstacles
”,
Journal of Business Ethics
, Vol.
149
No.
3
, pp.
561
-
588
.
Schuitema
,
G.
,
Anable
,
J.
,
Skippon
,
S.
and
Kinnear
,
N.
(
2013
), “
The role of instrumental, hedonic and symbolic attributes in the intention to adopt electric vehicles
”,
Transportation Research Part A: Policy and Practice
, Vol.
48
, pp.
39
-
49
, doi: .
Schwartz
,
S.H.
(
1992
), “Universals in the content and structure of values: Theoretical advances and empirical tests in 20 countries”, In
Zanna
,
M.P.
(Ed.),
Advances in Experimental Social Psychology
,
New York
Academic Press
, Vol.
25
, p.
1e65
.
Sharma
,
K.
and
Srivastava
,
S.
(
2025
), “
Shopping cart abandonment among young consumers: a moderated mediation study
”,
Young Consumers
, Vol.
26
No.
2
, pp.
247
-
269
.
Snelgar
,
R.S.
(
2006
), “
Egoistic, altruistic, and biospheric environmental concerns: measurement and structure
”,
Journal of Environmental Psychology
, Vol.
26
No.
2
, pp.
87
-
99
.
Sorosrungruang
,
T.
,
Ameen
,
N.
and
Hackley
,
C.
(
2024
), “
How real is real enough? Unveiling the diverse power of generative AI‐enabled virtual influencers and the dynamics of human responses
”,
Psychology & Marketing
, Vol.
41
No.
12
, pp.
3124
-
3143
.
Stern
,
P.C.
(
2000
), “
Toward a coherent theory of environmentally significant behaviour
”,
Journal of Social Issues
, Vol.
56
No.
3
, pp.
407
-
424
, doi: .
Su
,
B.C.
(
2025
), “
Navigating the new frontier: the role of AI‐driven virtual influencers in consumer engagement
”,
AI Magazine
, Vol.
46
No.
2
, p.
e70012
.
Suh
,
S.
(
2020
), “
Non-boundaries of style represented in fashion instagram: a social media platform as a digital space–time
”,
Fashion and Textiles
, Vol.
7
No.
1
, p.
33
, doi: .
Tate
,
K.
,
Stewart
,
A.J.
and
Daly
,
M.
(
2014
), “
Influencing green behaviour through environmental goal priming: the mediating role of automatic evaluation
”,
Journal of Environmental Psychology
, Vol.
38
, pp.
225
-
232
.
Thomas
,
V.L.
and
Fowler
,
K.
(
2021
), “
Close encounters of the AI kind: Use of AI influencers as brand endorsers
”,
Journal of Advertising
, Vol.
50
No.
1
, pp.
11
-
25
, doi: .
Wagman
,
K.
(
2020
), “
A new bot on the block: The rise of virtual influencers and what it means for our online communities
”,
Fixing Social Media
,
available at:
Link to A new bot on the block: The rise of virtual influencers and what it means for our online communitiesLink to the cited article.
Wan
,
C.
,
Lee
,
D.
,
Ng
,
P.M.
and
Leung
,
T.C.H.
(
2025
), “
Going green with AI-powered virtual influencers: the role of social cues, source credibility and environmental identity
”,
International Journal of Human–Computer Interaction
, pp.
1
-
23
.
Wang
,
S.W.
and
Scheinbaum
,
A.C.
(
2018
), “
Enhancing brand credibility via celebrity endorsement: trustworthiness trumps attractiveness and expertise
”,
Journal of Advertising Research
, Vol.
58
No.
1
, pp.
16
-
32
, doi: .
Wang
,
Y.
,
Li
,
Y.
,
Zhang
,
J.
and
Su
,
X.
(
2019
), “
How impacting factors affect chinese green purchasing behavior based on fuzzy cognitive maps
”,
Journal of Cleaner Production
, Vol.
240
, p.
118199
.
White
,
K.
,
Habib
,
R.
and
Hardisty
,
D.J.
(
2019
), “
How to SHIFT consumer behaviors to be more sustainable: a literature review and guiding framework
”,
Journal of Marketing
, Vol.
83
No.
3
, pp.
22
-
49
, doi: .
Wong
,
P.
,
Ng
,
P.M.
,
Lee
,
D.
and
Lam
,
R.
(
2020
), “
Examining the impact of perceived source credibility on attitudes and intentions towards taking advice from others on university choice
”,
International Journal of Educational Management
, Vol.
34
No.
4
, pp.
709
-
724
, doi: .
Yang
,
X.
,
Chen
,
S.C.
and
Zhang
,
L.
(
2020
), “
Promoting sustainable development: a research on residents’ green purchasing behavior from a perspective of the goal‐framing theory
”,
Sustainable Development
, Vol.
28
No.
5
, pp.
1208
-
1219
.
Yang
,
J.
,
Chuenterawong
,
P.
,
Lee
,
H.
,
Tian
,
Y.
and
Chock
,
T.M.
(
2023
), “
Human versus virtual influencer: the effect of humanness and interactivity on persuasive CSR messaging
”,
Journal of Interactive Advertising
, Vol.
23
No.
3
, pp.
275
-
292
, doi: .
Yu
,
J.
,
Dickinger
,
A.
,
So
,
K.K.F.
and
Egger
,
R.
(
2024
), “
Artificial intelligence-generated virtual influencer: examining the effects of emotional display on user engagement
”,
Journal of Retailing and Consumer Services
, Vol.
76
, p.
103560
, doi: .
Zhang
,
Y.
,
He
,
J.
and
Li
,
J.
(
2025
), “
The role of flow experience in virtual influencer marketing: insights into aesthetic, entertainment and parasocial influences on purchase intention
”,
Journal of Fashion Marketing and Management: An International Journal
, Vol.
29
No.
6
, pp.
1109
-
1129
.
Amin
,
A.
(
2025
), “
Artificial intelligence in social media: a catalyst for impulse buying behavior?
”,
Young Consumers
, Vol.
26
No.
5
, pp.
765
-
785
.
Liu
,
H.
,
Xu
,
J.
,
Yu
,
K.
and
Gong
,
J.
(
2025
), “
Bridging the virtual and real: emotional engagement in virtual influencer endorsements
”,
Young Consumers
, Vol.
26
No.
3
, pp.
482
-
501
.Link to Bridging the virtual and real: emotional engagement in virtual influencer endorsementsLink to the cited article.
Rodrigo
,
A.
and
Mendis
,
T.
(
2023
), “
Impact of social media influencers’ credibility on millennial consumers’ green purchasing behavior: a concept paper on personal and social identities
”,
Management Matters
, Vol.
20
No.
2
, pp.
134
-
153
, 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 maybe seen at Link to the terms of the CC BY 4.0 licenceLink to the terms of the CC BY 4.0 licence.

or Create an Account

Close Modal
Close Modal