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Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model

Author

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  • Perengki Susanto
  • Mohammad Enamul Hoque
  • Verselly Nisaa
  • Md Asadul Islam
  • Yusniza Kamarulzaman

Abstract

This study explored the antecedents of m-commerce continuance usage intention and their impact on the price sensitivity of Indonesian m-commerce customers. The study also incorporates contextual factors, such as perceived risk, trust, efficiency, and functional benefits, into the model to investigate their impact on the satisfaction of m-commerce users. Moreover, it examines how the efficient and functional benefits of m-commerce affect price sensitivity. The study employed online questionnaires to gather data from m-commerce users in Indonesia. The hypothesis was tested using a partial least squares technique with Smart-PLS. This study demonstrates that user satisfaction with mobile commerce has a significant impact on their intention to continue using it, which in turn affects their price sensitivity. The study found perceived risk, trust, efficiency, and functional benefit to be significant determinants of satisfaction in m-commerce usage. The study also found that trust, efficiency, and functional benefits influence the continuance use of m-commerce, while perceived risk is not an intervening variable for continuance intention among m-commerce users. Furthermore, the results show that perceived risk, trust, and functional benefit influence a user’s price sensitivity, whereas efficiency was not found to be a determinant in influencing price sensitivity. However, the study found that continuance usage intention and satisfaction serially mediated the link between efficiency and price sensitivity, as well as the link between functional benefit and price sensitivity. The outcome of this study would be useful for managers and practitioners who find it difficult to retain their customers’ continued intention to purchase their products and services.

Suggested Citation

  • Perengki Susanto & Mohammad Enamul Hoque & Verselly Nisaa & Md Asadul Islam & Yusniza Kamarulzaman, 2023. "Predicting m-Commerce Continuance Intention and Price Sensitivity in Indonesia by Integrating of Expectation-Confirmation and Post-acceptance Model," SAGE Open, , vol. 13(3), pages 21582440231, July.
  • Handle: RePEc:sae:sagope:v:13:y:2023:i:3:p:21582440231188019
    DOI: 10.1177/21582440231188019
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    1. Anh Tho To & Thi Hong Minh Trinh, 2021. "Understanding behavioral intention to use mobile wallets in vietnam: Extending the tam model with trust and enjoyment," Cogent Business & Management, Taylor & Francis Journals, vol. 8(1), pages 1891661-189, January.
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Tseng, Shu-Mei, 2015. "Exploring the intention to continue using web-based self-service," Journal of Retailing and Consumer Services, Elsevier, vol. 24(C), pages 85-93.
    4. Fuchs, Galia & Reichel, Arie, 2011. "An exploratory inquiry into destination risk perceptions and risk reduction strategies of first time vs. repeat visitors to a highly volatile destination," Tourism Management, Elsevier, vol. 32(2), pages 266-276.
    5. Udo, Godwin J. & Bagchi, Kallol K. & Kirs, Peeter J., 2010. "An assessment of customers’ e-service quality perception, satisfaction and intention," International Journal of Information Management, Elsevier, vol. 30(6), pages 481-492.
    6. Wang, Rebecca Jen-Hui & Malthouse, Edward C. & Krishnamurthi, Lakshman, 2015. "On the Go: How Mobile Shopping Affects Customer Purchase Behavior," Journal of Retailing, Elsevier, vol. 91(2), pages 217-234.
    7. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    8. Anderson, Eugene W & Shugan, Steven M, 1991. "Repositioning for Changing Preferences: The Case of Beef versus Poultry," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(2), pages 219-232, September.
    9. Xin Lin & RunZe Wu & Yong-Taek Lim & Jieping Han & Shih-Chih Chen, 2019. "Understanding the Sustainable Usage Intention of Mobile Payment Technology in Korea: Cross-Countries Comparison of Chinese and Korean Users," Sustainability, MDPI, vol. 11(19), pages 1-23, October.
    10. Kyung Hwa Seo & Jee Hye Lee, 2021. "The Emergence of Service Robots at Restaurants: Integrating Trust, Perceived Risk, and Satisfaction," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    11. Low, Wen-Shinn & Lee, Jeng-Da & Cheng, Soo-May, 2013. "The link between customer satisfaction and price sensitivity: An investigation of retailing industry in Taiwan," Journal of Retailing and Consumer Services, Elsevier, vol. 20(1), pages 1-10.
    12. Sirdeshmukh, Deepak & Ahmad, Norita B. & Khan, M. Sajid & Ashill, Nicholas J., 2018. "Drivers of user loyalty intention and commitment to a search engine: An exploratory study," Journal of Retailing and Consumer Services, Elsevier, vol. 44(C), pages 71-81.
    13. Le Hau & Pham Thuy, 2012. "Impact of service personal values on service value and customer loyalty: a cross-service industry study," Service Business, Springer;Pan-Pacific Business Association, vol. 6(2), pages 137-155, June.
    14. Milad Dehghani, 2018. "Exploring the motivational factors on continuous usage intention of smartwatches among actual users," Behaviour and Information Technology, Taylor & Francis Journals, vol. 37(2), pages 145-158, February.
    15. Lori Baker-Eveleth & Robert W. Stone, 2015. "Usability, expectation, confirmation, and continuance intentions to use electronic textbooks," Behaviour and Information Technology, Taylor & Francis Journals, vol. 34(10), pages 992-1004, October.
    16. Kefu Lao, 2014. "Research on mechanism of consumer innovativeness influencing green consumption behavior," Nankai Business Review International, Emerald Group Publishing Limited, vol. 5(2), pages 211-224, May.
    17. 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).
    18. Rana, Nripendra P. & Barnard, Daniel J. & Baabdullah, Abdullah M.A. & Rees, Daniel & Roderick, Sian, 2019. "Exploring barriers of m-commerce adoption in SMEs in the UK: Developing a framework using ISM," International Journal of Information Management, Elsevier, vol. 44(C), pages 141-153.
    19. Singh, Nidhi & Sinha, Neena, 2020. "How perceived trust mediates merchant's intention to use a mobile wallet technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    20. McLean, Graeme & Osei-Frimpong, Kofi & Al-Nabhani, Khalid & Marriott, Hannah, 2020. "Examining consumer attitudes towards retailers' m-commerce mobile applications – An initial adoption vs. continuous use perspective," Journal of Business Research, Elsevier, vol. 106(C), pages 139-157.
    21. Sánchez-Fernández, Raquel & Iniesta-Bonillo, M. à ngeles, 2009. "Efficiency and quality as economic dimensions of perceived value: Conceptualization, measurement, and effect on satisfaction," Journal of Retailing and Consumer Services, Elsevier, vol. 16(6), pages 425-433.
    22. Edward Shih-Tse Wang & Ruenn-Lien Lin, 2017. "Perceived quality factors of location-based apps on trust, perceived privacy risk, and continuous usage intention," Behaviour and Information Technology, Taylor & Francis Journals, vol. 36(1), pages 2-10, January.
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