MUSIC STREAMING SERVICES AND THE DRIVERS OF CUSTOMER PURCHASE

Yıl 2023, Cilt: 10 Sayı: 4, 195 - 206, 31.12.2023

Mariana Lopes Barata José Monteiro Barata

Öz

Purpose- The music industry has undergone tremendous changes in relation to its production, distribution, and consumption habits due to the exponential development of new technologies, namely streaming platforms. This study aims to understand the factors that influence music consumption through streaming platforms, particularly analysing the differences between premium and freemium users on the intention to adopt premium (paid) versions of a music streaming service.
Methodology- UTAUT2 model (version of the Unified Theory of Acceptance and Use of Technology, applied to the consumer side) was used as framework. Based on data collected from 324 music streaming services users (premium and freemium), this study was tested using structural equation modelling (SEM).
Findings- Our findings, focused fundamentally on the initial period of pandemics (2020-2021), confirm that facilitating conditions, price value and performance expectancy play the most important role in influencing the intention to use a paid music streaming service for the premium sample. However, the freemium sample finds habit, price value and hedonic motivation the variables most relevant.
Conclusion- The research contributes insights into music streaming services consumer behaviour, providing several theoretical and practical implications to music streaming services providers.

Anahtar Kelimeler

Adoption, customer purchase, music streaming services, SEM, UTAUT2

Kaynakça

• Aguiar, L., & Waldfogel, J. (2018). As streaming reaches flood stage, does it stimulate or depress music sales? International Journal of Industrial Organization, 57, 278–307. https://doi.org/10.1016/j.ijindorg.2017.06.004
• Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
• Ajzen, I. (2002). Residual Effects of Past on Later Behavior: Habituation and Reasoned Action Perspectives. Personality and Social Psychology Review, 6(2), 107–122. https://doi.org/10.1207/S15327957PSPR0602_02
• Arditi, D. (2014). ITunes: Breaking barriers and building walls. Popular Music and Society, 37(4), 408–424. https://doi.org/10.1080/03007766.2013.810849
• Arditi, D. (2018). Digital subscriptions: the unending consumption of music in the digital era. Popular Music and Society, 41(3), 302–318. https://doi.org/10.1080/03007766.2016.1264101
• Barata, M. & Coelho, P. (2021). Music streaming services: understanding the drivers of customer purchase and intention to recommend. Heliyon, 7, 1-17. https://doi.org/10.1016/j.heliyon.2021.e07783
• Cesareo, L., & Pastore, A. (2014). Consumers’ attitude and behavior towards online music piracy and subscription-based services. Journal of Consumer Marketing, 31(6–7), 515–525. https://doi.org/10.1108/JCM-07-2014-1070
• Chen, C. C., Leon, S., & Nakayama, M. (2018a). Are you hooked on paid music streaming? An investigation into the millennial generation. International Journal of E-Business Research, 14(1), 1–20. https://doi.org/10.4018/IJEBR.2018010101
• Chen, C. C., Leon, S., & Nakayama, M. (2018b). Converting music streaming free users to paid subscribers: Social influence or hedonic performance. International Journal of Electronic Business, 14(2), 128–145. https://doi.org/10.1504/IJEB.2018.094870
• Cheong, J., & Park, M. C. (2005). Mobile internet acceptance in Korea. Internet Research, 15(2), 125–140. https://doi.org/10.1108/10662240510590324
• Chu, C., & Lu, H. (2007). Factors influencing online music purchase intention in Taiwan: An empirical study based on the value-intention framework. Internet Research, 17(2), 139–155. https://doi.org/https://doi.org/10.1108/10662240710737004
• Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64–73. https://doi.org/10.2307/3150876
• Cockrill, A., Sullivan, M., & Norbury, H. L. (2011). Music consumption: Lifestyle choice or addiction. Journal of Retailing and Consumer Services, 18(2), 160–166. https://doi.org/10.1016/j.jretconser.2010.12.003
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008
• Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers’ product evaluations. Journal of Marketing Research, 28(3), 307–319. https://doi.org/https://doi.org/10.2307/3172866
• Doerr, J., Benlian, A., Vetter, J., & Hess, T. (2010). Pricing of content services - An empirical investigation of usic as a service. Lecture Notes in Business Information Processing, 58, 13–24. https://doi.org/10.1007/978-3-642-15141-5_2
• Dörr, J., Wagner, T. M., Hess, T., & Benlian, A. (2013). Music as a service as an alternative to music piracy? An empirical investigation of the intention to use music streaming services. Business and Information Systems Engineering, 5(6), 383–396. https://doi.org/10.1007/s12599-013-0294-0
• Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley.
• Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-51. https://doi.org/10.2307/3151312
• Hair, J. F. Jr., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). SAGE Publications.
• Hampton-Sosa, W. (2017). The impact of creativity and community facilitation on music streaming adoption and digital piracy. Computers in Human Behavior, 69, 444–453. https://doi.org/10.1016/j.chb.2016.11.055
• Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(1), 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014
• Iacobucci, D., & Churchill, G. A. (2018). Marketing Research: Methodological Foundations (12th ed., Issue September). CreateSpace Independent Publishing Platform.
• IFPI. (2020). Global Music Report 2019. International Federation of the Phonographic Industry (IFPI), 1–44.
• Kim, S., & Malhotra, N. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741–755. https://doi.org/10.1287/mnsc.1040.0326
• Kwong, S. W., & Park, J. (2008). Digital music services: Consumer intention and adoption. Service Industries Journal, 28(10), 1463–1481. https://doi.org/10.1080/02642060802250278
• Larsen, G., Lawson, R., & Todd, S. (2009). The consumption of music as self-representation in social interaction. Australasian Marketing Journal, 17(1), 16–26. https://doi.org/10.1016/j.ausmj.2009.01.006
• Larsen, G., Lawson, R., & Todd, S. (2010). The symbolic consumption of music. Journal of Marketing Management, 26(7–8), 671–685. https://doi.org/10.1080/0267257X.2010.481865
• Naranjo-Zolotov, M., Oliveira, T., & Casteleyn, S. (2019). Citizens’ intention to use and recommend e-participation: Drawing upon UTAUT and citizen empowerment. Information Technology and People, 32(2), 364–386. https://doi.org/10.1108/ITP-08-2017-0257
• Naveed, K., Watanabe, C., & Neittaanmäki, P. (2017). Co-evolution between streaming and live music leads a way to the sustainable growth of music industry – Lessons from the US experiences. Technology in Society, 50, 1–19. https://doi.org/10.1016/j.techsoc.2017.03.005
• Oestreicher-singer, G., & Zalmanson, L. (2013). Content or community? A digital business strategy for content providers in the social age. MIS Quarterly: Management Information Systems, 37(2), 591–616. https://doi.org/https://doi.org/10.25300/MISQ/2013/37.2.12
• Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3.
• Sinclair, G., & Green, T. (2016). Download or stream? Steal or buy? Developing a typology of today’s music consumer. Journal of Consumer Behaviour, 50(October), 35–50. https://doi.org/10.1002/cb.1526
• Sinclair, G., & Tinson, J. (2017). Psychological ownership and music streaming consumption. Journal of Business Research, 71(September), 1-9. https://doi.org/10.1016/j.jbusres.2016.10.002
• Thomes, T. P. (2013). An economic analysis of online streaming music services. Information Economics and Policy, 25(2), 81–91. https://doi.org/10.1016/j.infoecopol.2013.04.001
• van der Heijden. (2004). User acceptance of hedonic information systems. MIS Quarterly, 28(4), 695–704. https://doi.org/10.2307/25148660
• Venkatesh, V. (2000). Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information Systems Research, 11(4), 342–365. https://doi.org/10.1287/isre.11.4.342.11872
• Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
• Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 425–478. https://doi.org/10.2307/30036540
• Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly: Management Information Systems, 36(1), 157–178. https://doi.org/10.2307/41410412
• Wagner, T. M., Benlian, A., & Hess, T. (2014). Converting freemium customers from free to premium—the role of the perceived premium fit in the case of music as a service. Electronic Markets, 24(4), 259–268. https://doi.org/10.1007/s12525-014-0168-4
• Wang, Y.-S. (2008). Assessing e-commerce systems success: a respecification and validation of the DeLone and McLean model of IS success. 18, 529–557. https://doi.org/10.1111/j.1365-2575.2007.00268.x
• Wlömert, N., & Papies, D. (2016). On-demand streaming services and music industry revenues - Insights from Spotify’s market entry. International Journal of Research in Marketing, 33(2), 314–327. https://doi.org/10.1016/j.ijresmar.2015.11.002
• Ye, L. R., Zhang, Y. J., Nguyen, D.-D., & Chiu, J. (2004). Fee-based Online Services: Exploring Consumers’ Willingness to Pay. Journal of International Information Management, 13(2), 133–141.
• Zimmer, S. J. (2018). Rise of Music Streaming. Salem Press Encyclopedia