Price Dispersion, Bargaining Power, and Consumers' Online Shopping Experience in e-Commerce: Evidence from Online Transactions

被引:2
作者
Li, Zongwei [1 ]
Ren, Lingling [1 ]
Li, Zhenyu [1 ]
Chen, Jianing [1 ]
Tian, Xu [1 ]
Zhang, Yanhui [2 ]
机构
[1] Shanghai Inst Technol, Sch Econ & Management, Shanghai 200235, Peoples R China
[2] East China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金;
关键词
PROSPECT-THEORY; ASSIMILATION; PERCEPTIONS; OFFLINE; RISK;
D O I
10.1155/2023/6638665
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
With the development of artificial intelligence and machine learning technology, online shopping is increasingly becoming the mainstream shopping method. It is challenging to investigate the correlation between price dispersion and bargaining. In accordance with the assimilation-contrast theory, this study theorizes about the influence of price dispersion on consumers' bargaining power and it aims to analyze the moderating role of online shopping experience of consumers. Therefore, this paper develops a discrete price model to measure the dispersion of product prices in the marketplace. Cluster analysis was subsequently conducted to preliminary explore the association between price dispersion and bargaining. With the construction of a multiple regression model, the phenomena found by the cluster analysis are further analyzed. The results indicate that the bargaining power of consumers increases with the increase of the price dispersion level. At high levels of the price dispersion, high-experienced consumers exhibit greater bargaining power than low-experienced consumers. At low levels of price dispersion, low-experienced consumers have higher bargaining power than high-experienced consumers. Finally, we demonstrate the validity and robustness of the study results by grouping regressions and replacing four measures of price dispersion.
引用
收藏
页数:12
相关论文
共 48 条
[1]  
Adibfar A., 2022, TRANSPORT POLICY, V126, P162, DOI [10.1016/j.tranpol.2022.07.003, DOI 10.1016/J.TRANPOL.2022.07.003]
[2]  
[Anonymous], 2005, CONSUMER INTERESTS A
[3]   SEQUENTIAL BARGAINING IN THE FIELD: EVIDENCE FROM MILLIONS OF ONLINE BARGAINING INTERACTIONS [J].
Backus, Matthew ;
Blake, Thomas ;
Larsen, Brad ;
Tadelis, Steven .
QUARTERLY JOURNAL OF ECONOMICS, 2020, 135 (03) :1319-1361
[4]  
Bandura Albert., 1986, SOCIAL FDN THOUGHT A
[5]   The effects of product digitalization and price dispersion on search intentions in offline versus online settings: the mediating effects of perceived risks [J].
Biswas, Dipayan ;
Burman, Bidisha .
JOURNAL OF PRODUCT AND BRAND MANAGEMENT, 2009, 18 (07) :477-+
[6]  
Burman B., 2004, Journal of Product & Brand Management, V13, P379, DOI 10.1108/10610420410560280
[7]   Bargaining strategy formulation with CRM for an e-commerce agent [J].
Chan, C. -C. Henry ;
Cheng, Chi-Bin ;
Hsu, Chih-Hsiung .
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2007, 6 (04) :490-498
[8]   Fairness and discounts: The subjective value of a bargain [J].
Darke, PR ;
Dahl, DW .
JOURNAL OF CONSUMER PSYCHOLOGY, 2003, 13 (03) :328-338
[9]   NONFINANCIAL MOTIVES AND BARGAIN HUNTING [J].
DARKE, PR ;
FREEDMAN, JL .
JOURNAL OF APPLIED SOCIAL PSYCHOLOGY, 1995, 25 (18) :1597-1610
[10]  
Desai P. S., 2021, UPSIDE BARGAINING CO, P1