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Exploring post-usage behaviour in app-based ride-sourcing services: Evidence from Egypt
Technological Forecasting and Social Change, Volume: 207, Start page: 123643
Swansea University Author: Paul Jones
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© 2024 The Authors. This is an open access article under the CC BY license.
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DOI (Published version): 10.1016/j.techfore.2024.123643
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 ser...
Published in: | Technological Forecasting and Social Change |
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ISSN: | 0040-1625 |
Published: |
Elsevier BV
2024
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67330 |
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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. |
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Keywords: |
Expectation-confirmation model; Technology readiness model; Ride-sourcing services; Shared mobility; Continuance use intention; Sharing economy |
College: |
Faculty of Humanities and Social Sciences |
Funders: |
Swansea University |
Start Page: |
123643 |