2020
DOI: 10.1108/jrim-10-2018-0137
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The intentions to use social commerce from social, technology, and personal trait perspectives: analysis of direct, indirect, and moderating effects

Abstract: Purpose This study aims to propose a theoretical model to determine factors affecting an individual’s intentions to use social commerce (SC) in generating and sharing information on a vendor’s products and services. This, however, involves the application of three fundamental aspects including social interaction, social technology and personal trait used in constructing SC to propose these factors. Design/methodology/approach A cross-sectional time approach of the quantitative field study was used with the d… Show more

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Cited by 47 publications
(67 citation statements)
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“…Furthermore, the Cronbach’s alpha of all the constructs is found to be greater than 0.7 (Table 5), thus confirming the internal consistency of the model constructs (Vander Schee et al , 2020). As composite reliability (CR) of each latent variables are greater than 0.7 (Handarkho, 2020), the convergent validity of the proposed model is well established. The principal component factor analysis yielded the standardized factor loadings ranged from 0.698 to 0.95 (Table 3), signifying a good construct validity of the measurement model (Vander Schee et al , 2020).…”
Section: Data Analysis and Resultsmentioning
confidence: 96%
“…Furthermore, the Cronbach’s alpha of all the constructs is found to be greater than 0.7 (Table 5), thus confirming the internal consistency of the model constructs (Vander Schee et al , 2020). As composite reliability (CR) of each latent variables are greater than 0.7 (Handarkho, 2020), the convergent validity of the proposed model is well established. The principal component factor analysis yielded the standardized factor loadings ranged from 0.698 to 0.95 (Table 3), signifying a good construct validity of the measurement model (Vander Schee et al , 2020).…”
Section: Data Analysis and Resultsmentioning
confidence: 96%
“…The marketplace for e-commerce has extended to social network sites in which users exchange and share their interests and experiences through social selling and user-generated marketing activities. In particular, social e-commerce, empowered by a social recommender system with personalized techniques to present the most relevant product information, actively stimulates demand through social activities (Handarkho, 2020) and social selling (Niedermeier, 2020). Social selling and social shopping are inherently to be interactive through user-get-user activities in daily life.…”
Section: Changing Landscape Of Interact Marketingmentioning
confidence: 99%
“…The mediation relationship was examined by analyzing both direct and indirect effects of social capitals (bridging and bonding) on consumer engagement on a simultaneous basis in one model (Model 1) as acknowledged in the recent literature (Handarkho, 2020; Pappu and Quester, 2016) and advancing over Baron and Kenny’s (1986) method of examining multiple models.…”
Section: Resultsmentioning
confidence: 99%