The Impact of Technology Acceptance, Personal and Social Factors on Purchase Intention of Digital Music Platforms

Abstract

Digital music platforms are widely used today and there are many factors that lead consumers to use these platforms. One of the most critical of these factors is “technology acceptance” due to the product being digital; the second is “personal factors” that address the individual characteristics of the users; and the last is “social factors” due to the fact that the users are a human being and also a social being. This study aims to understand the future trends of users and user experiences of the music industry by analyzing these factors that play a role in the purchase of digital music platforms. The data collected from users using the survey method were analyzed in light of the established model for the research. While technology acceptance and social factors were found to positively affect users' purchase intentions, personal factors were found to vary depending on the elements within their scope.

Keywords

• Technology acceptance
• Perceived usefulness
• Music affinity
• Social connection
• Digital music platform

Teknoloji Kabulünün, Kişisel ve Sosyal Faktörlerin Dijital Müzik Platformlarını Satın Alma Niyetine Etkisi

Abstract

Dijital müzik platformları günümüzde yaygın bir şekilde kullanılmaktadır ve tüketicileri bu platformları kullanmaya yönelten birçok faktör bulunmaktadır. Bu faktörlerin en kritik olanlarından biri, ürünün dijital olmasından kaynaklı olarak “teknoloji kabulü”; ikincisi, kullanıcıların bireysel özelliklerini ele alan “kişisel faktörler”; sonuncusu ise kullanıcıların bir insan olarak aynı zamanda sosyal canlılar olmasından kaynaklı olarak, “sosyal faktörler”dir. Bu çalışma, dijital müzik platformlarının satın alınmasında rol oynayan bu faktörler için regresyon analizi yapılarak, kullanıcıların müzik endüstrisine dair gelecekteki yönelimlerini ve kullanıcı deneyimlerini anlamayı amaçlamaktadır. Araştırma için kurulan model ışığında, anket yöntemiyle kullanıcılardan toplanan veriler analiz edilmiştir. Teknoloji kabulünün ve sosyal faktörlerin, kullanıcıların satın alma niyetini olumlu etkilediği görülürken, kişisel faktörlerin ise kapsamı dahilindeki unsurlara göre değişkenlik gösterdiği belirlenmiştir.

Keywords

• Teknoloji kabulü
• Algılanan fayda
• Müzik ilgisi
• Sosyal bağlantı
• Dijital müzik platformu

References

1. Ajzen, I. (1980). Understanding attitudes and predictiing social behavior. Englewood cliffs.
2. Barata, M. L., & Coelho, P. S. (2021). Music streaming services: understanding the drivers of customer purchaseand intention to reccomend. Heliyon 7(8).
3. Bolduc, H. (2016). Examining the role of music streaming motives, social identification, and technologicalengagement in digital music streaming service use.
4. Chu, C. W., & Lu, H. P. (2007). Factors influencing online music purchase intention in Taiwan: An empirical studybased on the value‐intention framework. Internet Research, 17(2), 139-155.
5. Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems. Cambridge, MA, 17.
6. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of informationtechnology. MIS quarterly, 319-340.
7. Dewan, S., Ho, Y. J., & Ramaprasad, J. (2017). Popularity or proximity: Characterizing the nature of socialinfluence in an online music community. Information Systems Research, 28(1), 117-136.
8. 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.

9. Dörr, J., Wagner, T., Benlian, A., & Hess, T. (2013). Music as a service as an alternative to music piracy? Anempirical investigation of the intention to use music streaming services. Business & Information SystemsEngineering, 5, 383-396.
10. Ferguson, D. A., & Perse, E. M. (2000). The World Wide Web as a functional alternative to television. Journal of BBroadcasting & Electronic Media, 44(2), 155-174.
11. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables andmeasurement error. Journal of marketing research, 18(1), 39-50.
12. Gogoi, B. J. (2013). Study of antecedents of purchase intention and its effect on brand loyalty of private labelbrand of apparel. International Journal of Sales & Marketing, 73-86
13. Gürbüz, S., & Şahin, F. (2016). Sosyal Bilimlerde Araştırma Yöntemleri. Ankara: Seçkin Yayıncılık.
14. Jirayuwattana, R. (2023). The Impact of Marketing Mixes (4PS), Technology acceptance, and Lisfstyle Factorstowards Puchase Intention of Spotify Premium.
15. Husin, N., Hidayanto, A. N., Purwandari, B., & Ibrahim, R. M. S. (2021). Analysis on digital music service userbehaviour using justice perception framework. Journal of Engineering Science and Technology, 16(2), 1644-1666.
16. Katz, E., Blumler, J. G., & Gurevitch, M. (1973). Uses and gratifications research. The public opinionquarterly, 37(4), 509-523.
17. Kim, Y., & Srivastava, J. (2007). Impact of online consumer reviews on sales: The moderating role of productand consumer characteristics. Journal of Marketing, 71(3), 133-148
18. Kinnally, W., Lacayo, A., McClung, S., & Sapolsky, B. (2008). Getting up on the download: college students'motivations for acquiring music via the web. New Media & Society, 10(6), 893-913.
19. Lee, Y., Kozar, K. A., & Larsen, K. R. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for information systems, 12(1), 50.
20. Milliyet Sanat. (2024). Türk müzikseverler müziksiz gün geçirmiyor. 25 Eylül 2024 tarihinde https://www.milliyetsanat.com/haberler/diger/turk-muzikseverler-muziksiz-gun-gecirmiyor/17068 adresinden alındı
21. Musically. (2019). Turkey music market still growing, with 1m paying subscribers.19 Aralık 2024 tarihinde https://musically.com/2019/01/22/turkey-music-market-still-growing-with-1m-paying-subscribers/ adresinden alındı
22. Obry, Y. (2023). Music Streaming Adaption–Drivers of Behavioral Intention (Doctoral dissertation, HochschuleDüsseldorf).
23. Peña-García, N., Gil-Saura, I., Rodríguez-Orejuela, A., & Siqueira-Junior, J. R. (2020). Purchase intention andpurchase behavior online: A cross-cultural approach. Heliyon, 6(6).
24. Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social mediausage: an empirical study on Facebook. Journal of Enterprise Information Management
25. Sanitnarathorn, P. (2018). An Analysis of Music Fan towards Music Streaming Purchase Intention of Thailand'sMusic Industry. Journal of Education and Training Studies, 6(n3a), 78-87.
26. Taylor, C. P. (2001). Fighting way to paid model. Advertising Age, 72(31), 34-35.
27. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, andemotion into the technology acceptance model. Information systems research, 11(4), 342-365.
28. Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
29. Wang, Q. (2022). Paying for music and more: Investigating drivers and inhibitors of purchase intention for musicstreaming services in China (Master's thesis, University of Twente).
30. Xiang, T. (2016). An empirical research on the affecting factors of consumer’s willingness to pay for digitalmusic. Business Management. Wuhan, 21-41.
31. Zhang, F. (2015). Reasons for the difficulty in promoting digital music payment.