A Semantic Study to Identify the Dimensions of the Purchasing Decision Process in the Social Commerce

2014 ◽  
Author(s):  
Jinene Chtioui ◽  
Tarek Abdellatif ◽  
Thomas Majd
Keyword(s):  
Decision Process ◽  
Social Commerce ◽  
Purchasing Decision ◽  
The Social

The path of support-to-sales: mediating role of seller collaborative information exchange in social commerce

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Li Chen ◽  
Fengxia Zhu ◽  
Murali Mantrala
Keyword(s):  
Information Exchange ◽  
Instrumental Support ◽  
Trade Volume ◽  
Social Commerce ◽  
Content Type ◽  
Mediating Role ◽  
The Social ◽  
Source Data ◽  
Negative Effect

Purpose This paper aims to systematically investigate the direct and indirect effects of four types of support – peer instrumental support, peer emotional support, platform business support and platform communication support – on seller trade volume in social commerce. It also aims to uncover the path of support-to-sales of the seller from a platform perspective and provides a more complete picture of the social commerce phenomenon. Design/methodology/approach This paper uses multi-source data including primary survey data and secondary data on trade volume to test the hypotheses. PROCESS mediation model is used to analyze the multi-source data set. Findings This study finds that the positive effects of peer instrumental support, platform business support and platform communication support on seller trade volume are fully mediated by seller collaborative information exchange. Also, peer emotional support has a significant negative effect on seller trade volume and collaborative information exchange can serve as a buffer to mitigate the negative effect. Research limitations/implications The authors provide new insights into what types of support are or are not conducive to improving transaction volume of individual sellers and highlight the mediating role of seller information exchange in this value generation process in social commerce. These findings advance current knowledge of how seller interactions increase value in social commerce. The chosen research setting may limit the generalizability of the findings of this study. Practical implications This paper offers valuable implications for social commerce platforms on how to better serve their sellers to achieve high growth. Specifically, the findings suggest that platforms should encourage instrumental support and information exchange among peer sellers. In addition, platforms should expand seller support from a single-focus on sellers’ business to a dual-focus on both sellers’ business and socialization in social commerce. Originality/value This paper fulfills an identified need to study how sellers can better derive value from the social interactions and how social commerce platforms can effectively influence transactions, support sales and serve as a selling platform.

A graph-based comprehensive reputation model: Exploiting the social context of opinions to enhance trust in social commerce

2015 ◽  
Vol 318 ◽  
pp. 51-72 ◽  
Author(s):  
Su-Rong Yan ◽  
Xiao-Lin Zheng ◽  
Yan Wang ◽  
William Wei Song ◽  
Wen-Yu Zhang
Keyword(s):  
Social Context ◽  
Social Commerce ◽  
The Social ◽  
Reputation Model

Customer Engagement

2020 ◽  
pp. 163-176
Author(s):  
Robin Cheng
Keyword(s):  
Social Media ◽  
Product Information ◽  
Customer Engagement ◽  
Social Commerce ◽  
Media Technologies ◽  
Product Service ◽  
The Social ◽  
Innovative Products ◽  
Managerial Implications ◽  
Use Of Social Media

This chapter focused on exploring the engagement in which consumers interact with each other while conducting online shopping activities, such as discovering products, sharing product information, and/or collaboratively making shopping decisions. At the core of the product/service offering, successful shopping models will be able to meet the needs of highly engaged shoppers. In order to develop sustainable shopping model for this group of shoppers, social support theory could explain the current phenomenon of the use of social media for shopping. The social media technologies facilitated collaborative learning and collaborative improvement on the sale of unconventional and innovative products. The chapter contributes in social commerce innovations and provides managerial implications for understanding the overall interactions of social commerce.

Mobile Social Commerce

2017 ◽  
pp. 159-175 ◽  
Author(s):  
Christine Balague ◽  
Zhenzhen Zhao
Keyword(s):  
Case Studies ◽  
Mobile Elements ◽  
Social Commerce ◽  
The Social ◽  
Social Shopping ◽  
Ways Of Thinking

S-commerce and M-commerce become buzz word recent years. The social and mobile elements have brought new ways of thinking as well as challenging opportunities in e-commerce. In this chapter, we firstly introduce the concepts of online social commerce, its classifications and social shopping behaviors. Secondly, we analyze the evolution from online social commerce to mobile social commerce. Different case studies are given to demonstrate the concept of mobile social commerce, to precisely define how mobile and social feathers add value to traditional e-commerce.

Mobile Social Commerce

2021 ◽  
pp. 40-52
Author(s):  
Christine Balague ◽  
Zhenzhen Zhao
Keyword(s):  
Case Studies ◽  
Mobile Elements ◽  
Social Commerce ◽  
The Social ◽  
Social Shopping ◽  
Ways Of Thinking

S-commerce and M-commerce become buzz word recent years. The social and mobile elements have brought new ways of thinking as well as challenging opportunities in e-commerce. In this chapter, we firstly introduce the concepts of online social commerce, its classifications and social shopping behaviors. Secondly, we analyze the evolution from online social commerce to mobile social commerce. Different case studies are given to demonstrate the concept of mobile social commerce, to precisely define how mobile and social feathers add value to traditional e-commerce.

A Fixed Pricing Group Buying Decision Model

2015 ◽  
Vol 11 (2) ◽  
pp. 40-59 ◽  
Author(s):  
Jin Baek Kim
Keyword(s):  
Social Factors ◽  
Decision Process ◽  
Decision Model ◽  
Subjective Norm ◽  
Significant Determinant ◽  
Social Perspective ◽  
Group Buying ◽  
Consumer Decision Process ◽  
The Social ◽  
Shopping Motivations

In order to explain the consumer decision process in the fixed pricing group buying (FPGB) context, this study proposed an FPGB decision model from the social perspective. To reflect the social perspective, the proposed FPGB decision model included social factors such as network externalities and subjective norm as triggers for shopping motivations. According to the analysis results, all social factors directly or indirectly affected consumers' buying intention at FPGB websites. To be more specific, of the social factors, perceived complementarity was the most significant determinant of FPGB buying intention not just in the direct influential paths but in the indirect influential paths. Subjective norm did not directly affect FPGB buying intention, but it did indirectly. These results imply that the managers of FPGB websites should carefully consider social factors as triggers for shopping motivations when designing and operating FPGB websites.

scholarly journals A Mediation and Moderation Model of Social Support, Relationship Quality and Social Commerce Intention

2020 ◽  
Vol 12 (23) ◽  
pp. 9889
Author(s):  
Md. Alamgir Hossain ◽  
Nusrat Jahan ◽  
Minho Kim
Keyword(s):  
Social Support ◽  
Relationship Quality ◽  
Structural Equation ◽  
The United States ◽  
Equation Model ◽  
Mediating Effect ◽  
Mediation Effect ◽  
Social Commerce ◽  
Moderation Effect ◽  
The Social

This study examines the antecedents of social commerce intention by conceptualizing a model that includes two exogenous variables; relationship quality and social support, and an endogenous variable; social commerce, along with a mediation effect of relationship quality and moderation effect of cultures. This research model is tested by survey data collected in the United States and Korea, analyzed by a structural equation model. The results reveal that relationship quality generates the social commerce intention through commitment, satisfaction and trust, and becomes a maiden study with its mediating effect on social commerce intention. Social commerce intention is highly representative of social sharing and social shopping on social media. The social support is measured through emotional and informational support, proving to be a stronger predictor of relationship quality and social commerce intention. In addition, social support articulates differences in respect to the cultural differences. The model offers valuable insights to researchers and practitioners that aims to improve social commerce intention.

Inclusion of Social Subsystem Issues in IT Investment Decisions

2011 ◽  
pp. 164-183
Author(s):  
Sherry D. Ryan ◽  
Michael S. Gates
Keyword(s):  
Survey Data ◽  
Decision Process ◽  
Cost Benefit Analysis ◽  
Investment Decisions ◽  
Cost Benefit ◽  
Decision Makers ◽  
Benefit Analysis ◽  
Analysis Model ◽  
Decision Criteria ◽  
The Social

Researchers have attempted to augment the traditional cost/benefit analysis model used in the IT decision process. However, frequently social subsystem issues are inadequately considered. Survey data, collected from a U.S. sample of 200 executives, provides an empirical assessment of how these issues compare with other IT decision criteria given differing decision types. The social subsystem issues considered most important by decision makers are also identified and the manner by which they consider these issues is investigated.

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