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Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues

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  • Wu, Ing-Long
  • Chiu, Mai-Lun
  • Chen, Kuei-Wan

Abstract

Since much online shopping is attributed to online impulse buying, it is important to define this particular shopping process. This process has three important issues, perceived risk for virtual stores as well as e-store design and psychological state for online shopping. This is because consumers are both system users and impulse buyers when shopping on e-stores. E-store design is based on the interaction of customers with e-stores and the expectation-confirmation model supports examination of this issue with a wide familiarity in IT use. Psychological state is emotional responses to the stimulus of products in e-stores and flow theory, with task skill and task challenge as precursors, is suitable for exploring this issue. Grounding on the three issues, this study proposes a new research model with these considerations to thoroughly examine the determinants of online impulse buying. Flow state and customer satisfaction also interact with each other. Empirical research shows an important link for the three defined issues of online impulse buying.

Suggested Citation

  • Wu, Ing-Long & Chiu, Mai-Lun & Chen, Kuei-Wan, 2020. "Defining the determinants of online impulse buying through a shopping process of integrating perceived risk, expectation-confirmation model, and flow theory issues," International Journal of Information Management, Elsevier, vol. 52(C).
  • Handle: RePEc:eee:ininma:v:52:y:2020:i:c:s0268401219306759
    DOI: 10.1016/j.ijinfomgt.2020.102099
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    Citations

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    Cited by:

    1. Gulfraz, Muhammad Bilal & Sufyan, Muhammad & Mustak, Mekhail & Salminen, Joni & Srivastava, Deepak Kumar, 2022. "Understanding the impact of online customers’ shopping experience on online impulsive buying: A study on two leading E-commerce platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    2. Zheng, Shiyong & Chen, Jiada & Liao, Junyun & Hu, Hsin-Li, 2023. "What motivates users' viewing and purchasing behavior motivations in live streaming: A stream-streamer-viewer perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Han, Min Chung, 2023. "Checkout button and online consumer impulse-buying behavior in social commerce: A trust transfer perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    4. Fan, Hua & Han, Bing & Gao, Wei, 2022. "(Im)Balanced customer-oriented behaviors and AI chatbots' Efficiency–Flexibility performance: The moderating role of customers’ rational choices," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    5. Chunhui Huo & Xiaorui Wang & Muhammad Waqas Sadiq & Ming Pang, 2023. "Exploring Factors Affecting Consumer’s Impulse Buying Behavior in Live-Streaming Shopping: An Interactive Research Based Upon SOR Model," SAGE Open, , vol. 13(2), pages 21582440231, May.
    6. Zijun Mao & Qi Zou & Tingting Bu & Ying Dong & Rongxiao Yan, 2023. "Understanding the Role of Service Quality of Government APPs in Continuance Intention: An Expectation–Confirmation Perspective," SAGE Open, , vol. 13(4), pages 21582440231, October.
    7. Zhitan Feng & Abdullah Al Mamun & Mohammad Masukujjaman & Qing Yang, 2023. "Modeling the significance of advertising values on online impulse buying behavior," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-17, December.
    8. Meiwen Guo & Liang Wu & Cheng Ling Tan & Jun-Hwa Cheah & Yuhanis Abdul Aziz & Jianping Peng & Chun-Hung Chiu & Rongwei Ren, 2023. "The impact of perceived risk of online takeout packaging and the moderating role of educational level," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    9. Minqin Yi & Ming Chen & Jilang Yang, 2024. "Understanding the self-perceived customer experience and repurchase intention in live streaming shopping: evidence from China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
    10. Pathak, Kanishka & Prakash, Gyan, 2023. "Exploring the role of augmented reality in purchase intention: Through flow and immersive experience," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    11. Goel, Pooja & Parayitam, Satyanarayana & Sharma, Anuj & Rana, Nripendra P. & Dwivedi, Yogesh K, 2022. "A moderated mediation model for e-impulse buying tendency, customer satisfaction and intention to continue e-shopping," Journal of Business Research, Elsevier, vol. 142(C), pages 1-16.
    12. Yi Yong Lee & Chin Lay Gan & Tze Wei Liew, 2023. "Do E-wallets trigger impulse purchases? An analysis of Malaysian Gen-Y and Gen-Z consumers," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(2), pages 244-261, June.
    13. Zafar, Abaid Ullah & Shahzad, Mohsin & Ashfaq, Muhammad & Shahzad, Khuram, 2023. "Forecasting impulsive consumers driven by macro-influencers posts: Intervention of followers' flow state and perceived informativeness," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    14. Muhammad Ovais Ahmad & Iftikhar Ahmad & Nripendra P. Rana & Iqra Sadaf Khan, 2023. "An Empirical Investigation on Business Analytics in Software and Systems Development Projects," Information Systems Frontiers, Springer, vol. 25(2), pages 917-927, April.

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