Skewing users’ rational risk considerations in social commerce: An empirical examination of the role of social identification

Farivar, Samira; Turel, Ofir; Yuan, Yufei

doi:10.1016/j.im.2018.05.008

Cited by 63 publications

(45 citation statements)

References 62 publications

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“…This confirmed that leadership decision-making behaviors influence intergroup organizational relations and identification (Brown, 2020). Furthermore, an employee's self-perception is measured by in-group similarity, the strength of bond, and group affiliation (Farivar et al, 2018). Pearson correlation confirmed that unfair advantages and meritless rewards weakened the strength of bond and affiliation to the organization.…”

Section: Discussionsupporting

confidence: 52%

“…However, this may be more subject to perceived norms rather than to actual norms of an employee's social group's characteristics and norms. An employee's self-perception is measured by in-group similarity, the strength of bond, and group affiliation (Farivar et al, 2018). SIT may explain distributive justice policy-making used to facilitate an employee's social affiliation by following this three-step process (Table 1).…”

Section: Literature Reviewmentioning

confidence: 99%

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Distributive Injustice: Leadership Adherence to Social Norm Pressures and the Negative Impact on Organizational Commitment

Fuller¹

2021

IBR

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The social norm theory suggests that leaders who rely on perceived norms (misperceptions) rather than actual norms may produce unfair work advantages. Furthermore, social norms alter ethical leadership behaviors. However, leadership adheres to social norms due to society's implied compliance in the absence of distributive injustice measurements. Therefore, distributive injustice may be a more salient predictor than distributive justice on affective organizational commitment. The aim of this study was to fill gaps in literature on distributive injustice and investigate negative influences on employees’ affective commitment. A distributive injustice scale was designed using employee perceptions of policies that create unfair advantages and meritless rewards. The distributive injustice scale consisted of 14 items. A survey was sent to 481 full-time employees in various industries throughout the U.S. Correlation and regression model output indicated that unfair advantages and meritless rewards had a negative relationship and influence on employees’ affective commitment. Social norm policies that create unfair advantages and meritless rewards can be perceived as a divisionary tacit that negatively impacts affective commitment.

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Section: Discussionsupporting

confidence: 52%

Section: Literature Reviewmentioning

confidence: 99%

Distributive Injustice: Leadership Adherence to Social Norm Pressures and the Negative Impact on Organizational Commitment

Fuller¹

2021

IBR

View full text Add to dashboard Cite

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“…Fourth, being misjudged by friends and acquaintances (‘social risk) ’; which is the consumer’s fear that his/her choice is considered unsuitable by others (Ruiz‐Mafé et al., 2009), or online shopping is considered as a conspicuous action from others’ view (Thakur & Srivastava, 2015). Social risk can cause a person to lose their social status in the group (Farivar et al., 2018). Therefore, consumers usually seek the approval of their family or friends to reduce social risk (Kamalul Ariffin et al., 2018).…”

Section: Discussionmentioning

confidence: 99%

Trust barriers to online shopping: Investigating and prioritizing trust barriers in an intuitionistic fuzzy environment

Rasty

Mirghafoori

Ardekani

et al. 2020

Int J Consumer Studies

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Although the internet plays a significant role in daily activities, particularly shopping, some individuals are reluctant to shop online due to distrust in the online environment. This research aims to investigate trust barriers to online shopping from the relevant literature and prioritize them in an intuitionistic fuzzy environment. After reviewing the relevant literature, 18 barriers were extracted and a questionnaire based on these barriers was distributed among 150 internet users to rank three criteria of Failure Mode and Effect Analysis (FMEA), namely severity, occurrence, and detection. Afterward, using the entropy method based on FMEA in an intuitionistic fuzzy environment, the priority of each barrier was assessed. The findings showed that the most important barriers to trust in online shopping are ‘privacy risk’, ‘lack of feel‐and‐touch associated with online purchases’, ‘psychological risk’, ‘social risk’ and ‘feeling that e‐vendors are pretending to care about buyers’ welfare’. Based on the findings, marketing managers should focus on improving and promoting the infrastructure security of their online shopping sites, providing comprehensive information, and benefiting from influencers and celebrities’ endorsements in order to increase customer trust.

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“…Moreover, in contrast to the findings of Farivar, Turel and Yuan (2017)'s work, a significant trust-risk relationship was found in the present authors' study. Farivar, Turel & Yuan, 2018 Risk → purchase intention.…”

Section: Appendix Amentioning

confidence: 99%

Buying Through Social Platforms

Martínez–López

Feng

et al. 2021

Journal of Organizational and End User Computing

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Social platforms are currently encountering a set of burning issues: low ad conversion rates, cross-channel free-riding phenomena, lack of monetary incentives to retain premium content creators, etc. Direct purchase behaviors between social platform users (e.g., making a direct purchase through a seller's promotional post) can largely resolve these problems. Therefore, it is imperative to study the factors that influence users' direct purchase behavior. This paper focuses on risk- and trust-related factors, proposing a theoretical model that was tested on two samples of Chinese users of WeChat. The authors concluded that users tend to evaluate the shopping risk associated with the social platform first, then go through a process of building trust in the platform before making purchases. Further, this trust can generate a halo effect on seller risk. Finally, trust and seller risk directly impact on users' purchase intention to buy from the seller on the platform.

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Skewing users’ rational risk considerations in social commerce: An empirical examination of the role of social identification

Cited by 63 publications

References 62 publications

Distributive Injustice: Leadership Adherence to Social Norm Pressures and the Negative Impact on Organizational Commitment

Distributive Injustice: Leadership Adherence to Social Norm Pressures and the Negative Impact on Organizational Commitment

Trust barriers to online shopping: Investigating and prioritizing trust barriers in an intuitionistic fuzzy environment

Buying Through Social Platforms

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