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Predicting the Uber Adaptation Behavior among Physically Disable University Students in Bangladesh

Author

Listed:
  • Yeakub Ali

    (Lecturer, Department of Business Administration, Trust University, Barishal, Bangladesh.)

  • Khadija Akter

    (International Business and Marketing, University of Southern Denmark (SDU), Odense, Denmark.)

Abstract

The prime goal of the study is predicting the Uber adaptation behavior of physically disable university students in Bangladesh. Data was collected from the sample of 100 public and private university students who live in Dhaka city. One of the non-probability sampling techniques called purposive sampling technique was utilize to gather response from door to door of the respondents. Besides it collected responses on paper-based questionnaire by incorporating five-point Likert scale. The data was analyzed by SmartPLS 4.0. The finding of the research shows that performance expectancy, effort expectancy and attitude positively impact on Uber adaptation intention. But safety experience was found insignificant. Additionally, Uber adaptation intention has positively impact on actual Uber adaptation behavior. Finally, this paper provides recommendation and practical implications.

Suggested Citation

  • Yeakub Ali & Khadija Akter, 2024. "Predicting the Uber Adaptation Behavior among Physically Disable University Students in Bangladesh," International Journal of Science and Business, IJSAB International, vol. 41(1), pages 84-96.
    • Handle: RePEc:aif:journl:v:41:y:2024:i:1:p:84-96
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