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Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy

Author

Listed:
  • Garima Malik

    (XLRI Jamshedpur
    Accurate Institute of Advance Management)

  • A. Sajeevan Rao

    (Accurate Institute of Advance Management)

Abstract

The rapid expansion of technologies, especially Internet and mobile technologies has enabled the development of many mobile applications that facilitate travel and tourism. This study proposes and empirically tests the extended expectation-confirmation model (EECM) with two additional constructs—self-efficacy and perceived value—to explain the continued usage of on-demand ride services/ride hailing applications (ODRHA) by riders. Results strongly support the integrated model of TAM and ECM for predicting post adoption behavior of ODRHA customers. They also show that perceived value, self-efficacy and satisfaction contribute significantly to the continued usage of app-based services. The study offers valuable insights for ODRHA service providers in understanding rider behavior and following best practices to achieve higher rate of continued usage of ODRHA services through mobile applications.

Suggested Citation

  • Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    • Handle: RePEc:spr:infott:v:21:y:2019:i:4:d:10.1007_s40558-019-00152-3
    DOI: 10.1007/s40558-019-00152-3
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    Cited by:

    1. Akram, Umair & Lavuri, Rambabu & Mathur, Swati, 2024. "Hey boomer, “your ride has arrived†: Are you willing to continue using the ride-hailing app?," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    2. Seojin Lee & Woojin Lee & Christine A. Vogt & Ying Zhang, 2021. "A comparative analysis of factors influencing millennial travellers’ intentions to use ride-hailing," Information Technology & Tourism, Springer, vol. 23(2), pages 133-157, June.
    3. Mohammadbashir Sedighi & Hamideh Parsaeiyan & Yashar Araghi, 2021. "An Empirical Study of Intention to Continue Using of Digital Ride-hailing Platforms," The Review of Socionetwork Strategies, Springer, vol. 15(2), pages 489-515, November.
    4. Nathalie Peña-García & David van der Woude & Augusto Rodríguez-Orejuela, 2022. "Recommend or Not: Is Generation the Key? A Perspective from the SOR Paradigm for Online Stores in Colombia," Sustainability, MDPI, vol. 14(23), pages 1-16, December.
    5. Giang-Do Nguyen & Thu-Hien Thi Dao, 2024. "Factors influencing continuance intention to use mobile banking: an extended expectation-confirmation model with moderating role of trust," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    6. Maroufkhani, Parisa & Asadi, Shahla & Ghobakhloo, Morteza & Jannesari, Milad T. & Ismail, Wan Khairuzaman Wan, 2022. "How do interactive voice assistants build brands' loyalty?," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    7. Azra Shamim & Awais Ali Khan & Muhammad Ahsan Qureshi & Hamaad Rafique & Adnan Akhunzada, 2021. "Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    8. Sally Mohamed Amer, 2021. "The Effect of E-Servicescape, Website Trust and Perceived Value on Consumer Online Booking Intentions: The Moderating Role of Online Booking Experience," International Business Research, Canadian Center of Science and Education, vol. 14(6), pages 133-133, June.
    9. Elnadi, Moustafa & Troise, Ciro & Jones, Paul & Gheith, Mohamed Hani, 2024. "Exploring post-usage behaviour in app-based ride-sourcing services: Evidence from Egypt," Technological Forecasting and Social Change, Elsevier, vol. 207(C).

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