Determinants of social commerce adoption in an emerging economy

Rahman, Tazizur; Kim, Yang Sok; Noh, Mijin; Lee, Choong Kwon

doi:10.1007/s11628-020-00427-4

Cited by 20 publications

(40 citation statements)

References 105 publications

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“…This suggests that as the degrees of flow of customers rise, the intent for social media shopping is expected to be significantly optimistic. Moreover, the results are also in line with the previous studies (Gao and Bai, 2014 ; Ozkara et al, 2017 ; Chen et al, 2018 ; Rahman et al, 2020 ). Additionally, the outcomes show that flow boosts the usefulness and ease of use of social media shopping.…”

Section: Discussionsupporting

confidence: 92%

“…Most of the prior literature suggests a significant relationship between flow and shopping on traditional e-commerce websites. However, research analyzing social media purchase behavior has also found a significant relationship between flow and social commerce purchase (Rahman et al, 2020). Therefore, the following can be hypothesized: H5.…”

Section: Flow and Social Media Purchase Intentionmentioning

confidence: 99%

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Consumer Flow Experience of Senior Citizens in Using Social Media for Online Shopping

Wang

Khan³

et al. 2021

Front. Psychol.

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The senior market signifies an enormous, rapidly expanding segment, and this research aimed to investigate this segment by proposing a theoretical model incorporating the antecedents of consumer flow experience, flow theory, and technology acceptance model (TAM) devised for determining social media purchase intention. This study focuses on the senior citizens engaged in shopping using social media located in Pakistan. A total of 300 senior citizens were selected. An online survey was conducted with the help of a marketing research agency located in Pakistan. The data were analyzed using the partial least squares (PLS) method. According to the results, the antecedents, such as feedback, enjoyment, and time distortion were found to be in a positive relationship with flow experience, however, the concentration did not have a significant effect on the flow. Furthermore, the flow was found to be in a significant relationship with social media purchase intention and TAM. Finally, TAM was also found to be in a positive significant relationship with social media purchase intention. This research contributes to the constantly expanding volume of the utilization of social media by the senior market segment population for buying and producing the highly valuable knowledge for manufacturers, wholesalers, vendors, and a huge number of senior customers.

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Section: Discussionsupporting

confidence: 92%

Section: Flow and Social Media Purchase Intentionmentioning

confidence: 99%

Consumer Flow Experience of Senior Citizens in Using Social Media for Online Shopping

Wang

Khan³

et al. 2021

Front. Psychol.

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“…Trust is considered an essential factor in the context of e-commerce and scommerce (Al-Adwan & Kokash, 2019;Slade et al, 2014). A number of s-commerce studies focus on trust as an important factor impacting consumer behavior (Abou-Elgheit, 2019;Al-Adwan & Kokash, 2019;Al-Dwairi, 2017;Bugshan & Attar, 2020;Chen & Shen, 2015;Cheng et al, 2019;Hajli, 2015;Hajli, Sims, et al, 2017a;Hajli, Wang, et al, 2017b;Leong et al, 2020;Lin et al, 2018Lin et al, , 2019Lu, Fan, & Zhou, 2016a;Lu, Zeng, & Fan, 2016b;Rahman et al, 2020;Sharma et al, 2019;Zhao et al, 2019). For instance, Abou-Elgheit (2019) applied a trust-based consumer decisionmaking model (TBCDM) and also included social and cultural dimensions (social approval, uncertainty avoidance, individualism, and benevolence-based trust) to investigate the behavior of Egyptian electronic shoppers.…”

Section: Trust-based Theorymentioning

confidence: 99%

“…The belief that there is a sense of human warmth, human contact and personalness when using s-commerce platforms. Chen et al, 2021;Friedrich et al, 2019;Hassan et al, 2018;Leong et al, 2020;Li, 2019;Rahman et al, 2020;Rashid et al, 2020;Sharma et al, 2019;Sun et al, 2019;Um, 2019 Informational support…”

Section: Social Presencementioning

confidence: 99%

A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption

et al. 2021

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Social commerce (s-commerce) has gained prominence with advances in social media and social networking technologies over the last decade. Prior research has employed diverse theoretical perspectives to understand and explain consumer behavior within s-commerce but has also produced inconsistent results. This study integrates different theoretical perspectives including trust, social support, and social presence. The research portrays an integrated research model involving factors that impact behavioral intention and use behavior of s-commerce consumers whilst synthesizing prior empirical findings. A meta-analytic structural equation modeling (MASEM) method was used to synthesize 189 findings reported in 68 s-commerce studies and to analyze the structural model. Our findings show that trust and informational support have positive effects on behavioral intention while trust and emotional support have positive effects on use behavior. Furthermore, our findings highlight that behavioral intention influences use behavior and mediates the effect of trust and informational support on use behavior. The implications for research and practice are discussed in detail.

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“…Recently, mobile technologies have undergone tremendous growth in areas such as social network services (SNS), location-based services (LBS), and mobile social services (MSS) that have made communication and discovery possible anywhere and anytime (Heo and Kim 2017;Rahman et al 2020;Lee et al 2017). A notable example is the social-local-mobile (SoLoMo) service that unifies social networks, location technologies, and mobile devices to instantly satisfy user requirements Lin 2017, 2018).…”

Section: Introductionmentioning

confidence: 99%

The privacy victim experience of SoLoMo services: impact on trust, service quality, and privacy concerns

Yang

Lin

2021

Serv Bus

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Social-local-mobile (SoLoMo) service integrates social network services and location-based services via mobile devices to fulfill user requirements. However, while using SoLoMo services, users need to disclose personal information. The potential consequences to the users, when such sensitive information is exposed in different scenarios, are ambiguous. In this study, privacy regulation theory and multidimensional developmental theory of privacy were applied, and scenario-based experiments were conducted to understand the users' trust, service quality, and privacy concerns. The results reveal that the experiences of victims of privacy leaks or social embarrassment would lead to decreased trust and service quality, and heighten privacy concerns.

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Determinants of social commerce adoption in an emerging economy

Cited by 20 publications

References 105 publications

Consumer Flow Experience of Senior Citizens in Using Social Media for Online Shopping

Consumer Flow Experience of Senior Citizens in Using Social Media for Online Shopping

A Meta-Analytic Structural Equation Model for Understanding Social Commerce Adoption

The privacy victim experience of SoLoMo services: impact on trust, service quality, and privacy concerns

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