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The Effects of Mobile Accommodation App Quality Perception on Continual Use Intention through Expectation Confirmation and Satisfaction

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초록

영어

This research investigates the relationship between the information quality, service quality, and system quality of lodging apps and the users' expectations, level of satisfaction, and intent to continue using them. For this objective, 418 respondents participated in a survey. To evaluate the hypotheses, the collected data were examined using SPSS 22.0 and AMOS 22.0 statistical software. This study constructed a model using information quality, service quality, system quality, expectancy, satisfaction, and intention to continue using the pre- and post-use relationship of users of accommodation applications. The results of testing the hypotheses indicated that system quality had no significant effect on expectancy, system quality and service quality had no significant effect on satisfaction, and all other hypotheses had significant effects. The conclusion of this research is that the app's system quality, including access speed, access barriers, and privacy, does not satisfy pre- and post-use expectations. In addition, the system quality and service quality of the application have little effect on the app's satisfaction. The information quality of the application has a considerable impact on expectation confirmation and satisfaction, expectation confirmation has an impact on satisfaction, and expectation confirmation and satisfaction have an impact on intention to continue using.

목차

Abstract
1. Introduction
2. Theoretical Background
2.1 Mobile Accommodations App Quality Perceptions
2.2 Expectancy Confirmation and Satisfaction
2.3 Continuance Use Intention
3. Research Method
3.1 Sample Design and Measurement Tools
3.2 Analysis Method
3.3 Hypotheses Establishment
3.4 Research Model
4. Analysis Results
4.1 Sample Characteristics
4.2 Reliability and Validity of Measurement Items
4.3 Verification of Goodness-of-Fit of Measurement Model
4.4 Verification Results of Research Hypotheses
5. Conclusion
6. Acknowledgments
References

저자정보

  • Arum Park Assistant Professor, Dept. of Big Data & Business Management, Yongin University of Arts and Sciences, Korea
  • Sin-Bok Lee Assistant Professor, Business Administration, Nazarene University, Korea

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