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Why do mobile consumers resist mobile commerce applications? A hybrid fsQCA-ANN analysis

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  • Hew, Jun-Jie
  • Lee, Voon-Hsien
  • Leong, Lai-Ying

Abstract

Since its inception, mobile commerce (m-commerce) has introduced many disruptive changes to the business world via various types of m-commerce applications, which refer to the novel applications of m-commerce in conducting tasks that require mobility, for instance, mobile payment and mobile shopping. In view that not all mobile consumers around the world are keen to adopt mobile commerce applications, this study seeks to clarify the roles of active innovation resistance barriers (comprising functional and psychological barriers) on three distinct forms of resistance behaviour exhibited by mobile consumers (i.e., rejection, postponement, or opposition) towards m-commerce applications through the theoretical lens of Innovation Resistance Theory. For this purpose, an asymmetric and non-linear model was built and analysed through a configurational approach complemented by machine learning. The results indicate that all active innovation resistance barriers matter but are not equally important in triggering the resistance behaviours. Theoretically, this study has advanced the Innovation Resistance Theory and enriched the existing literature on m-commerce applications resistance. Practically, to lower the resistance behaviours of mobile consumers towards m-commerce applications, practitioners are advised to prioritise strategies that could overcome the psychological barriers.

Suggested Citation

  • Hew, Jun-Jie & Lee, Voon-Hsien & Leong, Lai-Ying, 2023. "Why do mobile consumers resist mobile commerce applications? A hybrid fsQCA-ANN analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
  • Handle: RePEc:eee:joreco:v:75:y:2023:i:c:s0969698923002771
    DOI: 10.1016/j.jretconser.2023.103526
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    as
    1. Eugene Cheng-Xi Aw & Tao Zha & Stephanie Hui-Wen Chuah, 2023. "My new financial companion! non-linear understanding of Robo-advisory service acceptance," The Service Industries Journal, Taylor & Francis Journals, vol. 43(3-4), pages 185-212, March.
    2. Mehruba Haque & Amy Wong, 2022. "Antecedents of m-commerce satisfaction and purchase behaviour in the footwear industry," International Journal of Electronic Marketing and Retailing, Inderscience Enterprises Ltd, vol. 13(3), pages 259-279.
    3. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Chong, Alain Yee-Loong, 2020. "Predicting the antecedents of trust in social commerce – A hybrid structural equation modeling with neural network approach," Journal of Business Research, Elsevier, vol. 110(C), pages 24-40.
    4. MacKenzie, Scott B. & Podsakoff, Philip M., 2012. "Common Method Bias in Marketing: Causes, Mechanisms, and Procedural Remedies," Journal of Retailing, Elsevier, vol. 88(4), pages 542-555.
    5. Luceri, Beatrice & (Tammo) Bijmolt, T.H.A. & Bellini, Silvia & Aiolfi, Simone, 2022. "What drives consumers to shop on mobile devices? Insights from a Meta-Analysis," Journal of Retailing, Elsevier, vol. 98(1), pages 178-196.
    6. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    7. Lou, Zhukun & Ye, Ailin & Mao, Jinye & Zhang, Chuan, 2022. "Supplier selection, control mechanisms, and firm innovation: Configuration analysis based on fsQCA," Journal of Business Research, Elsevier, vol. 139(C), pages 81-89.
    8. Uchenna Cyril Eze & Yew Siang Poong, 2013. "The Moderating Roles of Income and Age in Mobile Commerce Application," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 11(3), pages 46-67, July.
    9. Efraim Turban & Jon Outland & David King & Jae Kyu Lee & Ting-Peng Liang & Deborrah C. Turban, 2018. "Mobile Commerce and the Internet of Things," Springer Texts in Business and Economics, in: Electronic Commerce 2018, edition 9, chapter 6, pages 205-248, Springer.
    10. Keng-Boon Ooi & Jun-Jie Hew & Binshan Lin, 2018. "Unfolding the privacy paradox among mobile social commerce users: a multi-mediation approach," Behaviour and Information Technology, Taylor & Francis Journals, vol. 37(6), pages 575-595, June.
    11. Li, Fajin & Cheng-Xi Aw, Eugene & Wei-Han Tan, Garry & Cham, Tat-Huei & Ooi, Keng-Boon, 2022. "The Eureka moment in understanding luxury brand purchases! A non-linear fsQCA-ANN approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    12. Omar, Suha & Mohsen, Kholoud & Tsimonis, Georgios & Oozeerally, Adam & Hsu, Jen-Hsien, 2021. "M-commerce: The nexus between mobile shopping service quality and loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    13. Efraim Turban & David King & Jae Kyu Lee & Ting-Peng Liang & Deborrah C. Turban, 2015. "Mobile Commerce and Ubiquitous Computing," Springer Texts in Business and Economics, in: Electronic Commerce, edition 0, chapter 6, pages 257-308, Springer.
    14. Degirmenci, Kenan, 2020. "Mobile users’ information privacy concerns and the role of app permission requests," International Journal of Information Management, Elsevier, vol. 50(C), pages 261-272.
    15. Qian Chen & Yaobin Lu & Yeming Gong & Qing Tang, 2019. "Why do users resist service organization’s brand mobile apps? : The force of barriers versus cross-channel synergy," Post-Print hal-02312265, HAL.
    16. Leong, Lai-Ying & Hew, Teck-Soon & Ooi, Keng-Boon & Wei, June, 2020. "Predicting mobile wallet resistance: A two-staged structural equation modeling-artificial neural network approach," International Journal of Information Management, Elsevier, vol. 51(C).
    17. Emad Abu-Shanab & Osamah Ghaleb, 2012. "Adoption of Mobile Commerce Technology: An Involvement of Trust and Risk Concerns," International Journal of Technology Diffusion (IJTD), IGI Global, vol. 3(2), pages 36-49, April.
    18. Kleijnen, Mirella & Lee, Nick & Wetzels, Martin, 2009. "An exploration of consumer resistance to innovation and its antecedents," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 344-357, June.
    19. Chaouali, Walid & Souiden, Nizar, 2019. "The role of cognitive age in explaining mobile banking resistance among elderly people," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 342-350.
    20. Gligor, David & Bozkurt, Siddik, 2020. "FsQCA versus regression: The context of customer engagement," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    21. Yang, Xiaoping & Yang, Jingshan & Hou, Yilin & Li, Shuyang & Sun, Shiwei, 2023. "Gamification of mobile wallet as an unconventional innovation for promoting Fintech: An fsQCA approach," Journal of Business Research, Elsevier, vol. 155(PA).
    22. Pappas, Ilias O. & Woodside, Arch G., 2021. "Fuzzy-set Qualitative Comparative Analysis (fsQCA): Guidelines for research practice in Information Systems and marketing," International Journal of Information Management, Elsevier, vol. 58(C).
    23. Chen, Chia-Chen & Chang, Chin-Hsuan & Hsiao, Kuo-Lun, 2022. "Exploring the factors of using mobile ticketing applications: Perspectives from innovation resistance theory," Journal of Retailing and Consumer Services, Elsevier, vol. 67(C).
    24. Olya, Hossein G.T. & Altinay, Levent, 2016. "Asymmetric modeling of intention to purchase tourism weather insurance and loyalty," Journal of Business Research, Elsevier, vol. 69(8), pages 2791-2800.
    25. Matsuo, Makoto & Minami, Chieko & Matsuyama, Takuya, 2018. "Social influence on innovation resistance in internet banking services," Journal of Retailing and Consumer Services, Elsevier, vol. 45(C), pages 42-51.
    26. Sven Heidenreich & Patrick Spieth, 2013. "Why Innovations Fail — The Case Of Passive And Active Innovation Resistance," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 17(05), pages 1-42.
    27. Oliveira, Tiago & Faria, Miguel & Thomas, Manoj Abraham & Popovič, Aleš, 2014. "Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM," International Journal of Information Management, Elsevier, vol. 34(5), pages 689-703.
    28. Sham, Rohana & Chong, Han Xi & Cheng-Xi Aw, Eugene & Bibi Tkm Thangal, Thahira & Abdamia, Noranita binti, 2023. "Switching up the delivery game: Understanding switching intention to retail drone delivery services," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    29. Hew, Jun-Jie & Leong, Lai-Ying & Tan, Garry Wei-Han & Ooi, Keng-Boon & Lee, Voon-Hsien, 2019. "The age of mobile social commerce: An Artificial Neural Network analysis on its resistances," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 311-324.
    30. Pappas, Ilias O. & Kourouthanassis, Panos E. & Giannakos, Michail N. & Chrissikopoulos, Vassilios, 2016. "Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions," Journal of Business Research, Elsevier, vol. 69(2), pages 794-803.
    31. Laukkanen, Tommi, 2016. "Consumer adoption versus rejection decisions in seemingly similar service innovations: The case of the Internet and mobile banking," Journal of Business Research, Elsevier, vol. 69(7), pages 2432-2439.
    32. Talwar, Shalini & Talwar, Manish & Kaur, Puneet & Dhir, Amandeep, 2020. "Consumers’ resistance to digital innovations: A systematic review and framework development," Australasian marketing journal, Elsevier, vol. 28(4), pages 286-299.
    33. Laukkanen, Tommi & Sinkkonen, Suvi & Laukkanen, Pekka, 2009. "Communication strategies to overcome functional and psychological resistance to Internet banking," International Journal of Information Management, Elsevier, vol. 29(2), pages 111-118.
    34. Kaur, Puneet & Dhir, Amandeep & Singh, Naveen & Sahu, Ganesh & Almotairi, Mohammad, 2020. "An innovation resistance theory perspective on mobile payment solutions," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    35. Dastane, Omkar & Goi, Chai Lee & Rabbanee, Fazlul, 2020. "A synthesis of constructs for modelling consumers’ perception of value from mobile-commerce (M-VAL)," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    36. Shan Du & Hua Li, 2019. "The Knowledge Mapping of Mobile Commerce Research: A Visual Analysis Based on I-Model," Sustainability, MDPI, vol. 11(6), pages 1-26, March.
    37. Heidenreich, Sven & Kraemer, Tobias & Handrich, Matthias, 2016. "Satisfied and unwilling: Exploring cognitive and situational resistance to innovations," Journal of Business Research, Elsevier, vol. 69(7), pages 2440-2447.
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