Published: 2023-06-01
The Implementation of Expectation-Confirmation Model (ECM) in Analyzing the Relationship Between Gamification and Continuance Use Intention in Online Travel Industry
DOI: 10.35870/jemsi.v9i3.1211
Juliana Juliana, Imam Jayanto, Murwani Wulansari, Muhammad Hery Santoso, Tri Apriyono
- Juliana Juliana: Universitas Pelita Harapan
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Imam Jayanto:
Sam Ratulangi University
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Murwani Wulansari:
Universitas Bina Sarana Informatika
- Muhammad Hery Santoso: STMIK Widya Utama
- Tri Apriyono: STIE Jambatan Bulan
Abstract
Online Travel Agent or abbreviated as OTA is one form of technological development in the tourism industry. Competence in the OTA business is getting tougher, along with that each OTA provides different services. One of the trends to increase user loyalty is by implementing the concept of gamification into the system. This study aims to determine the gamification factors that have an influence on continuance use intention in OTA users. This research uses a quantitative approach with 300 respondents taken using purposive sampling. The data was analyzed using PLS-SEM with SmartPLS. The research model used is taken from the modified Expectation-Confirmation Model (ECM). The results of this study found that two out of twelve hypotheses were rejected. Based on the ten accepted hypotheses, it can be concluded that novelty, trendiness and intimacy of gamification have a positive influence on continuance use intention through hedonic value and utilitarian value variables.
Keywords
online travel agent, tourism industry, gamification, continuance use intention
Article Information
This article has been peer-reviewed and published in the JEMSI (Jurnal Ekonomi, Manajemen, dan Akuntansi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 9 No. 3 (2023)
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Section: Articles
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Published: 2023-06-01
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/jemsi.v9i3.1211
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No author biographies available.
-
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. Management Information Systems Research Center, University of Minnesota, 3, 25.
-
Hsu & Chen. (2018). How does gamification improve user experience? An empirical investigation on the antecedences and consequences of user experience and its mediating role.
-
Hsu & Lin. (2015). What Drives Purchase Intention for Paid Mobile Apps - An Expectation Confirmation Model with Perceived Value.
-
Jusuf, H. (2016). The Use of Gamification in the Learning Process. TICOM Journal, 5.
-
Purwanto, A., & Juliana, J. (2022). The effect of supplier performance and transformational supply chain leadership style on supply chain performance in manufacturing companies. Uncertain Supply Chain Management, 10(2), 511-516.
-
Sutagana, I. N. T., Ernayani, R., Liow, F. E. R., Octiva, C. S., & Setyawasih, R. (2022). Analisis Pengaruh Paket Remunerasi dan Stres Kerja terhadap Turnover Intention dengan Kepuasan Kerja sebagai Variabel Mediasi pada Karyawan. BUDGETING: Journal of Business, Management and Accounting, 4(1), 183-203.
-
Tannady, H., Sjahruddin, H., Saleh, I., Renwarin, J. M., & Nuryana, A. (2022). Role of Product Innovation and Brand Image Toward Customer Interest and Its Implication on Electronic Products Purchase Decision. Widyakala Journal, 9(2), 93-98.
-
Suyoto, Y. T., & Tannady, H. (2022). Ideal Self-Congruence: Its Impacts On Customer Love And Loyalty To Luxury Brands In Indonesia. International Journal of Professional Business Review, 7(6), e0769-e0769.
-
Tannady, H., & Purnamaningsih, P. (2023). Determinant factors customer satisfaction and its implication on customer loyalty: from the perspective of customers of Vespa. International Journal of Science, Technology & Management, 4(2), 434-438.
-
Wang, W., Chen, R. R., Ou, C. X., & Ren, J. (2019). Media or message, which is the king in social commerce? An empirical study of participants' intention to repost marketing messages on social media. Computers in Human Behavior, 176-191.
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