The role of dissonance reduction and co-creation strategies in shaping smart service satisfaction – the case of Uber.
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| Title: | The role of dissonance reduction and co-creation strategies in shaping smart service satisfaction – the case of Uber. |
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| Authors: | Mousavi, Reza, Hazarika, Bidyut, Chen, Kuanchin, Rienzo, Thomas |
| Source: | Behaviour & Information Technology. Jan2022, Vol. 41 Issue 1, p51-71. 21p. 2 Diagrams, 9 Charts, 1 Graph. |
| Subjects: | College students, Cognitive dissonance, Research evaluation, Mobile apps, Structural models, Consumer attitudes, Surveys, Interprofessional relations, Quality assurance, Motor vehicle occupants, Information storage & retrieval systems, Cluster analysis (Statistics), Data analysis software, Intention, Research bias, Motor vehicle safety measures, Customer satisfaction |
| Abstract: | Ride-sharing apps have both positive and negative impact in our daily lives. To study the negative impacts especially personal safety issues, this study explores the reaction of ride-sharing app users to such safety issues. We contextualise our study using a scenario based survey. We found empirical support to all the hypotheses by surveying 421 individuals. This study contributes to the information systems literature in providing ways to apply dissonance reduction techniques that are a strong predictor of satisfaction. In addition, this study extends the dimensions of service quality to better suit ride-sharing apps. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | Ride-sharing apps have both positive and negative impact in our daily lives. To study the negative impacts especially personal safety issues, this study explores the reaction of ride-sharing app users to such safety issues. We contextualise our study using a scenario based survey. We found empirical support to all the hypotheses by surveying 421 individuals. This study contributes to the information systems literature in providing ways to apply dissonance reduction techniques that are a strong predictor of satisfaction. In addition, this study extends the dimensions of service quality to better suit ride-sharing apps. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 0144929X |
| DOI: | 10.1080/0144929X.2020.1795258 |