ROLE OF CUSTOMER PERCEIVED VALUE AS MEDIATOR TO RELATIONSHIP BETWEEN PERCEIVED EASE OF USE, PERCEIVED ENJOYMENT, AND SOCIAL INFLUENCE ON CONTINUANCE INTENTION TO USE (CASE STUDY AMONG APPLE MUSIC USERS)
Abstract
Abstract
In today's era, people prefer to listen to music through streaming applications on their smartphones. With being said, the music industry needs to keep customers satisfied and get back to using their business. The purpose of this study was to analyze the effect of Perceived Ease of Use, Perceived Enjoyment, and Social Influence on Continuance Intention to Use and the mediating role of Customer Perceived Value. This research was conducted in the territory of Indonesia with a sample of 150 participants. In this study, the data analysis method used was the Structural Equation Model Partial Least Square (SEMPLS) method, using smartPLS 3.3 software. The results showed that H1, H2, H3, H4, H7, H8, H9 and H10 were accepted but H5 and H6 were rejected.
Keywords: Perceived Ease of Use, Perceived Enjoyment, Social Influence, Customer Perceived Value, Continuance Intention to Use, Music Streaming Application.
BIBLIOGRAPHY
Al Khasawneh, M. H., & Haddad, N. (2020). Analysis of The Effects of Ease of Use, Enjoyment, Perceived Risk on Perceived Value and Subsequent Satisfaction Created in The Context of C2C Online Exchanges. Int. J. Electronic Marketing and Retailing , 11 (3), 217-238.
Atkinson, M., & Kydd, C. (1997). Individual Characteristics Associated With World Wide Web Use: An Empirical Study of Playfulness and Motivation. Data Base , 28 (2), 53-61.
Baron, R., & Kenny, D. (1986). The Moderator-Mediator Variable Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations. Journal of Personality and Social Psychology , 51 (6), 1173-1182.
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly , 25 (3), 351-370.
Chang, C.-C. (2013). Exploring The Determinants of E-learning Systems Continuance Intention in Academic Libraries . Library Management , 34 (1/2), 40-55.
Cheung, C., & Lee, M. (2009). Understanding The Sustainability of A Virtual Community: Model Development and Empirical Test. Journal of Information Science , 35 (3), 279-298.
Chi, T., & Kilduff, P. (2011). Understanding Consumer Perceived Value of Casual Sportswear: An Empirical Study. Journal of Retailing and Consumer Services , 18, 422-429.
Chu, C.-W., & Lu, H.-P. (2007). "Factors Influencing Online Music Purchase Intention in Taiwan: An Empirical Study Based on The Value‐Intention Framework. Internet Research , 17 (2), 139-155.
Davis, F. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems.
Davis, F., Bagozzi, R., & Warshaw, P. (1992). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of Applied Social Psychology , 22 (14), 1111-1132.
Dickinger, A., Arami, M., & Meyer, D. (2008). The Role of Perceived Enjoyment and Social Norm in The Adoption of Technology With Network Externalities. European Journal of Information Systems , 17, 4-11.
Doll, W., Hendrickson, A., & Deng, X. (1998). Using Davis’s Perceived Usefulness and Ease-of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis. Decision Sciences , 29 (4), 839-869.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley.
Gallego, M., Bueno, S., & Noyes, J. (2016). Second Life Adoption in Education: A Motivational Model Based on Uses and Gratifications Theory. Computers and Education.
Hair, J., Hult, G., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications.
Hamid, A., Razak, F. Z., Bakar, A. A., & Abdullah, W. S. (2016). The Effects of Perceived Usefulness and Perceived Ease of Use on Continuance Intention To Use E-Government. Procedia Economics and Finance , 35, 644-649.
Hussein, A. S. (2015). Penelitian Bisnis dan Manajemen Menggunakan Partial Least Squares (PLS) dengan smartPLS 3.0.
Katz, M., & Shapiro, C. (1985). Network Externalities, Competition, and Compatibility. The American Economic Review , 75 (3), 424-440.
Kim, H.-W., Chan, H. C., & Chan, Y. P. (2007). A Balanced Thinking–Feelings Model of Information Systems Continuance. Int. J. Human-Computer Studies , 65 (6), 511-525.
Lin, A., Gregor, S., & Ewing, M. (2008). Developing A Scale to Measure The Enjoyment of Web Experiences. Journal of Interactive Marketing , 22 (4), 40-57.
Liu, F., Zhao, X., Chau, P., & Tang, Q. (2015). Roles of Perceived Value and Individual Differences in The Acceptance of Mobile Coupon Applications. Internet Research , 25 (3), 471-495.
Lu, J. (2014). Are Personal Innovativeness and Social Influence Critical to Continue With Mobile Commerce? . Internet Research , 24 (2), 134-159.
Malhotra, N. (2010). Marketing Research: An Applied Orientation (6th Edition ed.). New Jersey: Pearson Prentice Hall.
Martin, K., & Quan-Haase, A. (2013). Are E-Books Replacing Print Books? Tradition, Serendipity, and Opportunity in The Adoption and Use of E-Books for Historical Research and Teaching . Journal of The American Society For Information Science And Technology , 64 (5), 1016-1028.
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management , 38, 217-230.
Morar, D. D. (2013). An Overview of The Consumer Value Literature – Perceived Value, Desired Value. International Conference “Marketing – from information to decision” 6th Edition.
Praveena, K., & Thomas, S. (2014). Continuance Intention to Use Facebook: A Study of Perceived Enjoyment and TAM. Bonfring International Journal of Industrial Engineering and Management Science , 4 (1), 24-29.
Sarmento, A., & Mesquita, A. (2013). User Perception and Influencing Factors of Technology in Everyday Life. Information Science Reference.
Sweeney , J., & Soutar, G. (2001). Consumer Perceived Value: The Development of A Multiple Item Scale. Journal of Retailing , 77 (2), 203-220.
Ulaan, R. V., Pangemanan, S., & Lambey, L. (2016). The Effect of Perceived Enjoyment on Intention to Shop Online (The Study of Faculty of Economics and Business Sam Ratulangi University Manado). EMBA , 4 (1), 1137-1146.
Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science , 46 (2), 186-204.
Venkatesh, V., Morris, M., Davis , G., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly , 27 (3), 425-478.
Venkatesh, V., Thong, J., & Chan, F. (2011). Extending The Two-Stage Information Systems Continuance Model: Incorporating UTAUT Predictors and The Role of Context. Information Systems Journal , 21 (6), 527-555.
Wang, J.-C., & Chiang, M.-J. (2009). Social Interaction and Continuance Intention in Online Auctions: A Social Capital Perspective. Decision Support Systems , 47 (4), 466-476.
Wulandari, D., Suhud, U., & Purwohedi, U. (2019). The Influence Factors of Continuance Intention to Use a Music Streaming Application . International Journal on Advanced Science, Education, and Religion , 2 (2), 17-25.
Yen, Y.-S. (2013). The Relationship among Social Influence, Perceived Value, and Usage Intention in Social Networking Sites. 2013 3rd International Conference on Consumer Electronics, Communications and Networks, CECNet 2013 - Proceedings , 699-702.
Zeithaml, V. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing , 52 (3), 2-22.
Refbacks
- There are currently no refbacks.