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Exploring post-usage behaviour in app-based ride-sourcing services: Evidence from Egypt

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  • Elnadi, Moustafa
  • Troise, Ciro
  • Jones, Paul
  • Gheith, Mohamed Hani

Abstract

Despite numerous studies focusing on ride-sourcing services, most have concentrated on users' pre-usage behaviour. This study explores users' post-usage behaviour, aiming to identify significant factors affecting existing users' intentions to continue using app-based ride-sourcing services in Egypt. Integrating the Expectation-Confirmation Model (ECM), the Technology Acceptance Model (TAM), and the Technology Readiness Model (TRM), this research identifies key determinants influencing users' perceptions and continued usage intentions. An online questionnaire collected empirical data from 381 respondents, analysed using partial least squares structural equation modelling (PLS-SEM). The results highlight the essential roles of optimism, innovativeness, discomfort, and insecurity in shaping users' perceptions of ride-sourcing apps' usefulness. Additionally, perceived ease of use is determined by innovativeness and discomfort. Furthermore, users' continuance usage intention is significantly associated with satisfaction level, perceived usefulness, and perceived ease of use. This study's findings offer valuable insights for service providers, aiding their understanding of variables influencing users' decisions to continue using ride-sourcing apps and enabling them to retain and satisfy their current users effectively.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:tefoso:v:207:y:2024:i:c:s0040162524004414
    DOI: 10.1016/j.techfore.2024.123643
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    as
    1. Christensen, Peter & Osman, Adam, 2021. "The Demand for Mobility: Evidence from an Experiment with Uber Riders," IZA Discussion Papers 14179, Institute of Labor Economics (IZA).
    2. Hory Sankar Mukerjee & G. K. Deshmukh & U. Devi Prasad, 2019. "Technology Readiness and Likelihood to Use Self-Checkout Services Using Smartphone in Retail Grocery Stores: Empirical Evidences from Hyderabad, India," Business Perspectives and Research, , vol. 7(1), pages 1-15, January.
    3. Yuan, Ruizhi & Chen, Yanyan & Mandler, Timo, 2024. "It takes two to tango: The role of interactivity in enhancing customer engagement on sharing economy platforms," Journal of Business Research, Elsevier, vol. 178(C).
    4. Nguyen-Phuoc, Duy Quy & Su, Diep Ngoc & Tran, Phuong Thi Kim & Le, Diem-Trinh Thi & Johnson, Lester W., 2020. "Factors influencing customer's loyalty towards ride-hailing taxi services – A case study of Vietnam," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 96-112.
    5. Kim, Nooree & Park, Yuri & Lee, Daeho, 2019. "Differences in consumer intention to use on-demand automobile-related services in accordance with the degree of face-to-face interactions," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 277-286.
    6. Sachin Kamble & Angappa Gunasekaran & Himanshu Arha, 2019. "Understanding the Blockchain technology adoption in supply chains-Indian context," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2009-2033, April.
    7. Le Van Huy & Pham Thi Hoan Nguyen & Long Pham & Ronald Berry, 2019. "Technology readiness and satisfaction in Vietnam's luxury hotels," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 18(2), pages 183-208.
    8. Pooja Goel & Piali Haldar, 2020. "Shared ride-hailing service in India: an analysis of consumers' intention to adopt," International Journal of Business and Emerging Markets, Inderscience Enterprises Ltd, vol. 12(3), pages 336-353.
    9. Balakrishnan, Vimala & Shuib, Nor Liyana Mohd, 2021. "Drivers and inhibitors for digital payment adoption using the Cashless Society Readiness-Adoption model in Malaysia," Technology in Society, Elsevier, vol. 65(C).
    10. Hazem Rasheed Gaber & Ahmed Mousa Elsamadicy, 2021. "What drives customers to continue using ride-sharing apps during the COVID-19 pandemic? The case of Uber in Egypt," Cogent Business & Management, Taylor & Francis Journals, vol. 8(1), pages 1944009-194, January.
    11. Hyo Geun Song, 2023. "Understanding Social Media Users’ Mukbang Content Watching: Integrating TAM and ECM," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    12. Jung-Chieh Lee & Yuyin Tang & SiQi Jiang, 2023. "Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    13. Xiaowei Chen & Hongyu Zheng & Ze Wang & Xiqun Chen, 2021. "Exploring impacts of on-demand ridesplitting on mobility via real-world ridesourcing data and questionnaires," Transportation, Springer, vol. 48(4), pages 1541-1561, August.
    14. 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.
    15. Xingjun, Huang & Mao, Zhouhui & Lin, Yun & Shi, Qiuju & Liu, Feng & Zhou, Fuli, 2024. "Sharing or privacy for private electric vehicle charging piles? Evidence from Chongqing," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    16. Nguyen-Phuoc, Duy Quy & Su, Diep Ngoc & Nguyen, Minh Hieu & Vo, Nguyen S. & Oviedo-Trespalacios, Oscar, 2022. "Factors influencing intention to use on-demand shared ride-hailing services in Vietnam: risk, cost or sustainability?," Journal of Transport Geography, Elsevier, vol. 99(C).
    17. Maduku, Daniel K. & Thusi, Philile, 2023. "Understanding consumers' mobile shopping continuance intention: New perspectives from South Africa," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    18. Diep Ngoc Su & Duy Quy Nguyen-Phuoc & Lester W. Johnson, 2021. "Effects of perceived safety, involvement and perceived service quality on loyalty intention among ride-sourcing passengers," Transportation, Springer, vol. 48(1), pages 369-393, February.
    19. Carlos Tam & Diogo Santos & Tiago Oliveira, 2020. "Exploring the influential factors of continuance intention to use mobile Apps: Extending the expectation confirmation model," Information Systems Frontiers, Springer, vol. 22(1), pages 243-257, February.
    20. Chang, Yu-Wei & Chen, Jiahe, 2021. "What motivates customers to shop in smart shops? The impacts of smart technology and technology readiness," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    21. Taqwa Hariguna & Athapol Ruangkanjanases & Bakri Bin Madon & Khaled Mofawiz Alfawaz, 2023. "Assessing Determinants of Continuance Intention Toward Cryptocurrency Usage: Extending Expectation Confirmation Model With Technology Readiness," SAGE Open, , vol. 13(1), pages 21582440231, March.
    22. Miriam Martens & Oliver Roll & Roger Elliott, 2017. "Testing the Technology Readiness and Acceptance Model for Mobile Payments Across Germany and South Africa," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 14(06), pages 1-19, December.
    23. João Luiz Soares & Juliana Maria Magalhães Christino & Marlusa De Sevilha Gosling & Luciana Alves Rodas Vera & Érico Aurélio Abreu Cardozo, 2020. "Acceptance and use of e-hailing technology: a study of Uber based on the UTAUT2 model," International Journal of Business Information Systems, Inderscience Enterprises Ltd, vol. 34(4), pages 512-535.
    24. 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).
    25. Alatawi, Fatmah Mohammed H. & Alomar, Jawaher Abdulrahman & Balakrishnan, Janarthanan, 2024. "Fostering long-term commitment in the sharing economy: Strategies formulated through mixed methods research design," Technological Forecasting and Social Change, Elsevier, vol. 201(C).
    26. 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).
    27. Wu, Chuanhui & Zhou, Yusheng & Wang, Rui & Huang, Shijing & Yuan, Qinjian, 2022. "Understanding the Mechanism Between IT Identity, IT Mindfulness and Mobile Health Technology Continuance Intention: An Extended Expectation Confirmation Model," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    28. Raf Buyle & Mathias Van Compernolle & Eveline Vlassenroot & Ziggy Vanlishout & Peter Mechant & Erik Mannens, 2018. "“Technology Readiness and Acceptance Model” as a Predictor for the Use Intention of Data Standards in Smart Cities," Media and Communication, Cogitatio Press, vol. 6(4), pages 127-139.
    29. Huynh, Toan Luu Duc & Vo, An Kim Hoang & Nguyen, Thanh Hoang Ha & Nguyen, Vy Bao Le & Ho, Nhung Ngoc Hong & Do, Nguyen Binh, 2020. "What makes us use the shared mobility model? Evidence from Vietnam," Economic Analysis and Policy, Elsevier, vol. 66(C), pages 1-13.
    30. 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.
    31. Hsu, Chia-Lin & Chen, Mu-Chen, 2021. "Advocating recycling and encouraging environmentally friendly habits through gamification: An empirical investigation," Technology in Society, Elsevier, vol. 66(C).
    32. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    33. 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.
    34. Yafen Tseng & Beyfen Lee & Chingi Chen & Wang He, 2022. "Understanding Agri-Food Traceability System User Intention in Respond to COVID-19 Pandemic: The Comparisons of Three Models," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    35. Do Giang Nguyen & Minh-Tri Ha, 2022. "What Makes Users Continue to Want to Use the Digital Platform? Evidence From the Ride-Hailing Service Platform in Vietnam," SAGE Open, , vol. 12(1), pages 21582440211, January.
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