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Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model

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  • Yang, Luming
  • Xu, Min
  • Xing, Lin

Abstract

With the continuous development of the Internet and information technology, online shopping has become a popular purchase mode. The in-depth analysis of consumer decision-making in online shopping is an important issue. Our purpose is to study how the factors of the shopping web pages corporately affect online purchase decisions and determine which are the core factors that affect consumer purchase decisions. We screen the influencing factors on the shopping webpage and deploy e-commerce network evolution based on various weight combinations of these factors to generate sales distributions of online products. By comparing these simulated sales distributions to the real data, the optimal weight of each factor is obtained. The results show that sales volume and the number of high-quality negative comments are the most important factors influencing consumers' decision-making, the number of comments and the number of comments with pictures are relatively minor factors, store type and video presentation of the products have the least impact. The optimal simulated sales distribution is very close to the real case and verifies that the introduced network evolution technology is applicable. The proposed model can be used as a uniform evaluation platform for correlational study, which is an important link in the purchase research chain.

Suggested Citation

  • Yang, Luming & Xu, Min & Xing, Lin, 2022. "Exploring the core factors of online purchase decisions by building an E-Commerce network evolution model," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    • Handle: RePEc:eee:joreco:v:64:y:2022:i:c:s0969698921003507
    DOI: 10.1016/j.jretconser.2021.102784
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    as
    1. Chen, Nan & Yang, Yunpeng, 2021. "The impact of customer experience on consumer purchase intention in cross-border E-commerce——Taking network structural embeddedness as mediator variable," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    2. Young Kwark & Jianqing Chen & Srinivasan Raghunathan, 2014. "Online Product Reviews: Implications for Retailers and Competing Manufacturers," Information Systems Research, INFORMS, vol. 25(1), pages 93-110, March.
    3. Zoran Kalinic & Veljko Marinkovic, 2016. "Determinants of users’ intention to adopt m-commerce: an empirical analysis," Information Systems and e-Business Management, Springer, vol. 14(2), pages 367-387, May.
    4. Liu, Zhiwei & Park, Sangwon, 2015. "What makes a useful online review? Implication for travel product websites," Tourism Management, Elsevier, vol. 47(C), pages 140-151.
    5. Sparks, Beverley A. & So, Kevin Kam Fung & Bradley, Graham L., 2016. "Responding to negative online reviews: The effects of hotel responses on customer inferences of trust and concern," Tourism Management, Elsevier, vol. 53(C), pages 74-85.
    6. Abramova, Olga & Krasnova, Hanna & Shavanova, Tetiana & Fuhrer, Andrea & Buxmann, Peter, 2016. "Impression Management in the Sharing Economy: Understanding the Effect of Response Strategy to Negative Reviews," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 70(1), pages 58-73.
    7. Qiujie Zheng & Junhong Chen & Robin Zhang & H. Holly Wang, 2020. "What factors affect Chinese consumers’ online grocery shopping? Product attributes, e-vendor characteristics and consumer perceptions," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(2), pages 193-213, February.
    8. Yogesh K. Dwivedi & Nripendra P. Rana & Anand Jeyaraj & Marc Clement & Michael D. Williams, 2019. "Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model," Information Systems Frontiers, Springer, vol. 21(3), pages 719-734, June.
    9. Alton Y.K. Chua & Snehasish Banerjee, 2015. "Understanding review helpfulness as a function of reviewer reputation, review rating, and review depth," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 354-362, February.
    10. Shafique Ur Rehman & Anam Bhatti & Rapiah Mohamed & Hazeline Ayoup, 2019. "The moderating role of trust and commitment between consumer purchase intention and online shopping behavior in the context of Pakistan," Journal of Global Entrepreneurship Research, Springer;UNESCO Chair in Entrepreneurship, vol. 9(1), pages 1-25, December.
    11. Daeheon Choi & Chune Young Chung & Jason Young, 2019. "Sustainable Online Shopping Logistics for Customer Satisfaction and Repeat Purchasing Behavior: Evidence from China," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    12. Muhammed Alnsour & Nadar Ismael & Zaid Nsoor & Midhat Feidi, 2019. "The Perceived Risks Affecting Online Shopping Adoption in Jordan," International Journal of Online Marketing (IJOM), IGI Global, vol. 9(2), pages 1-12, April.
    13. Radka Bauerová & Martin Klepek, 2018. "Technology Acceptance as a Determinant of Online Grocery Shopping Adoption," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(3), pages 737-746.
    14. Abramova, Olga & Krasnova, Hanna & Shavanova, Tetiana & Fuhrer, Andrea & Buxmann, Peter, 2016. "Impression Management in the Sharing Economy: Understanding the Effect of Response Strategy to Negative Reviews," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84838, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    15. Barari, Mojtaba & Ross, Mitchell & Surachartkumtonkun, Jiraporn, 2020. "Negative and positive customer shopping experience in an online context," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    16. Xianghua Lu & Sulin Ba & Lihua Huang & Yue Feng, 2013. "Promotional Marketing or Word-of-Mouth? Evidence from Online Restaurant Reviews," Information Systems Research, INFORMS, vol. 24(3), pages 596-612, September.
    17. Mainardes, Emerson Wagner & Souza, Irailton Melo de & Correia, Rogério Dias, 2020. "Antecedents and consequents of consumers not adopting e-commerce," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    18. Bin Guo & Shasha Zhou, 2017. "What makes population perception of review helpfulness: an information processing perspective," Electronic Commerce Research, Springer, vol. 17(4), pages 585-608, December.
    19. Wu, Jia-Jhou & Chang, Sue-Ting, 2020. "Exploring customer sentiment regarding online retail services: A topic-based approach," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    20. Sharma, Varinder M. & Klein, Andreas, 2020. "Consumer perceived value, involvement, trust, susceptibility to interpersonal influence, and intention to participate in online group buying," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    21. Xuechun Lu & Hui Lu, 2020. "Understanding Chinese Millennials' Adoption Intention Towards Third-Party Mobile Payment," Information Resources Management Journal (IRMJ), IGI Global, vol. 33(2), pages 40-63, April.
    22. Syed Tariq Anwar, 2017. "Alibaba: Entrepreneurial growth and global expansion in B2B/B2C markets," Journal of International Entrepreneurship, Springer, vol. 15(4), pages 366-389, December.
    23. Zhao, Yan & Wen, Lingling & Feng, Xiangnan & Li, Ran & Lin, Xiaolin, 2020. "How managerial responses to online reviews affect customer satisfaction: An empirical study based on additional reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    24. J. Yannis Bakos, 1997. "Reducing Buyer Search Costs: Implications for Electronic Marketplaces," Management Science, INFORMS, vol. 43(12), pages 1676-1692, December.
    25. Zhu, Wenlong & Mou, Jian & Benyoucef, Morad, 2019. "Exploring purchase intention in cross-border E-commerce: A three stage model," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 320-330.
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