Social Influence in Online Group Buying

2017 ◽  
Author(s):  
Morakot Ditta-Apichai
2019 ◽  
Vol 11 (4) ◽  
pp. 1016 ◽  
Author(s):  
Bangwool Han ◽  
Minho Kim

This study investigates the moderating effects of consumer personality traits and the mediating effects of social influence susceptibility in consumers on the relationship between individuals’ cultural orientations and intentions toward online group buying (OGB). The Big Five personality dimensions, normative social influence, and Hofstede’s cultural dimensions are considered. Because understanding what motivates consumer intentions toward OGB is a major focus of firms and OGB website operators, this study contributes to the topic by identifying consumers’ personality traits and levels of susceptibility to social influences, which impact OGB intentions. Findings in Study 1 reveal that consumer personality traits (e.g., agreeableness) moderate the impact of individual cultural orientations (i.e., collectivism) on intentions toward OGB. Study 2 describes the mediation process of susceptibility to normative social influences on OGB intentions. The findings from this study bridge a literature gap in the context of OGB by demonstrating how OGB site operators can improve marketing strategies, leading to increase sustainable purchase intention. The article concludes with managerial implications by providing insights for online group buying sites and firms, particularly those that target collectivistic cultural markets.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shiu-Wan Hung ◽  
Min-Jhih Cheng ◽  
Chia-Jung Lee

PurposeThe purpose of this article was to explore the influence of individual perception and social climate on consumer-initiated group-buying purchase decisions. An extended cross-level research model was used to explain how a new mechanism for purchasing through personal interactions could work.Design/methodology/approachThis study utilised a questionnaire survey for data gathering. The subjects of the investigation were group-buying initiators. Hierarchical linear modelling (HLM) was used to experimentally examine the research hypotheses.FindingsThe empirical results of the study indicate that the social influence of critical mass can effectively promote positive attitudes and intentions towards consumer-initiated online group buying. An individuals' perception of an initiator's fairness influences their trust in the initiator. In addition, trust in the initiator can positively and significantly influence buyers' attitudes and intentions to online group buying.Originality/valueMost previous studies on online group-buying focus on how social media influences group-buying behaviours. This study extends social media research by introducing an extended cross-level model to provide a comprehensive investigation into online-shopping. It is a preliminary attempt to systematically verify relationships at the individual and aggregate levels. The decision to group buying requires a relationship of trust to be formed before any transaction takes place, thereby increasing the intention to make a purchase. As a result, group buying is perceived as positive when interpersonal communication is very efficient, or when social influence is high.


2014 ◽  
Vol 41 ◽  
pp. 133-143 ◽  
Author(s):  
Tracie Chin Sook Harn ◽  
Geoffrey Harvey Tanakinjal ◽  
Stephen Liason Sondoh Jr ◽  
Hamid Rizal

Author(s):  
Cheris W. C. Chow ◽  
Clement S. F. Chow ◽  
Jennifer Y. M. Lai ◽  
Lida L. Zhang

2014 ◽  
Vol 685 ◽  
pp. 540-544
Author(s):  
Xiao Ting Li ◽  
Lin Zhong ◽  
Shou Wen Ji

As a new e-commerce model, network group purchase develops rapidly for its advantages such as conservation and convenience. The college student is an important part of consumer of the online group buying, so the research on college student willingness has a important reference value for the expansion of market. Firstly, the article has a theoretical study on the influence factors of willingness of Online Group Buying for college students and carries out related questionnaires. Secondly, the article makes factor analysis, correlation analysis, multiple regression analysis using the statistical software of SPSS19.0. Finally, this paper proposes corresponding operation and management recommendations for relevant participants in online group-buying according to the study results.


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