Applicability of the unified theory of acceptance and use of technology in music streaming services for young users

Luis Hernan Contreras Pinochet; Guilherme Neves Nunes; Eliane Herrero

doi:10.5585/remark.v18i1.4031

Authors

Luis Hernan Contreras Pinochet Universidade Federal de São Paulo (UNIFESP), São Paulo https://orcid.org/0000-0003-2088-5283
Guilherme Neves Nunes Universidade Federal de São Paulo (UNIFESP) http://orcid.org/0000-0000-0000-0001
Eliane Herrero Universidade Nove de Julho (Uninove), São Paulo https://orcid.org/0000-0002-4515-7242

DOI:

https://doi.org/10.5585/remark.v18i1.4031

Keywords:

Music streaming, Applicability, UTAUT2, Young people

Abstract

Purpose: Our main purpose with this study was to analyze the applicability of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model, developed by Venkatesh, Thong and Xu (2012), on the acceptance and use of music streaming service by college students.

Method: In this study, we do not intend to perform a replication of research, but rather the use of a well-established theoretical model. For this, we used a survey with a final sample of 419 individuals, whose data were analyzed through the Structural Equation Modeling (SEM), with estimation by Partial Least Square (PLS), in order to verify both the direct and indirect relationships of the original model.

Results: The latent variable Facilitating Conditions was not sustained in the adjustment phase, since the analyzed sample demonstrates ease and intuitive use in the access to this type of technology. In addition, the results demonstrate that most of the model is valid for music streaming services, except the Effort Expectation to Intention to Use and Hedonic Motivation to Intention to Use.

Theoretical contributions: We verified that the Habit construct is highly relevant for the consumption of these services, enabling companies to seek alternatives to generate greater motivation and engagement with applications and websites that stimulate the consumers.

Originality/relevance: The use of the UTAUT2 model on the phenomenon of streaming technology is relevant and allows the understanding of its effects.

Downloads

Download data is not yet available.

Author Biographies

Luis Hernan Contreras Pinochet, Universidade Federal de São Paulo (UNIFESP), São Paulo

Pós-doutorando em Administração pela Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil). Doutor em Administração pela Fundação Getulio Vargas - FGV, São Paulo. Professor do Departamento de Administração da Escola Paulista de Política, Economia e Negócios da Universidade Federal de São Paulo - UNIFESP, São Paulo.

Guilherme Neves Nunes, Universidade Federal de São Paulo (UNIFESP)

Graduando em Administração pela Escola Paulista de Política, Economia e Negócios da Universidade Federal de São Paulo (UNIFESP)

Eliane Herrero, Universidade Nove de Julho (Uninove), São Paulo

Doutoranda em Administração pela Universidade Nove de Julho - UNINOVE, São Paulo, (Brasil). Professora de ensino fundamental da Prefeitura Municipal de São Paulo e revisora gramatical e tradutora (português-inglês-português) para periódicos na área de Administração e como autônoma.

References

Aarts, H., Verplanken, B. & Knippenberg, A. V. (1998). Predicting behavior from actions in the past: repeated decision making or a matter of habit? Journal of Applied Social Psychology, v.28, Issue 15, 1355–1374, DOI: 10.1111/j.1559-1816.1998.tb01681.x

Ajzen, I. & Madden, T. J. (1986). Prediction of goal-directed behavior: attitudes, intentions, and perceived behavioral control. Journal of Experimental Social Psychology, 453–474, DOI: 10.1016/0022-1031(86)90045-4

Alazzam, M. B., Basari, S. H., Sibghatullah, A. S., Ramli, M. R., Jaber, M. M., & Naim, M. H. (2016). Pilot study of ehrs acceptance in jordan hospitals by utaut2. Journal of Theoretical and Applied Information Technology, v. 85, n. 3.

Anderson, K. C., Knight, D. K., Pookulangara, S., & Josiam, B. (2014). Influence of hedonic and utilitarian motivations on retailer loyalty and purchase intention: a facebook perspective. Journal of Retailing and Consumer Services, v. 21, n. 5, p. 773-779.

Bi, Z., Xu, D. L. & Wang, C. (2014). Internet of things for enterprise systems of modern manufacturing. IEEE Transactions on Industrial Informatics, 10, 1537–1546, DOI: 10.1109/TII.2014.2300338

Boksberger, P. E., & Melsen L. (2011). “Perceived value: a critical examination of definitions, concepts and measures for the service industry,” Journal of Services Marketing, 25(3), 229–240, ISSN: 0887-6045

Brown, S. A., Venkatesh, V. (1989). “Model of Adoption of Technology in the Household: A Baseline Model Test and F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, 13(3), 319–340, ISSN: 0276-778

Burkart, P. (2008). Trends in Digital Music Archiving. Information Society, 24(4), 246-250.

DOI:10.1080/01972240802191621

Burke, R. R. (2002). “Technology and the customer interface: what consumers want in the physical and virtual store,” Journal of the Academy of Marketing Science, 30(4), 411–432, DOI: 10.1177/009207002236914, ISSN 0092-0703

Capapé, E., & Ojer, T. (2012). Nuevos modelos de negocio en la distribución de contenidos audiovisuales: el caso de Netflix. Revista Comunicación, v.1, n. 10, p. 187-200. ISSN 1989-600X

Chin, W. W. (1994). PLS-Graph Manual, unpublished, University of Calgary.

Chong. A.Y.-L (2013). “Mobile commerce usage activities: the roles of demographic and motivation variables,” Technological Forecasting and Social Change, 80(7), 1350–1359, DOI: 10.1016/j.techfore.2012.12.011

Davis, F. D. (1989). “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information” MIS Quarterly, Vol. 13, No. 3 (Sep. 1989), pp. 319-340, DOI: 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, 307–319, DOI: 10.2307/3172866

Financial Time: “How streaming saved the music industry” 2017 https://www.ft.com/content/cd99b95e-d8ba-11e6-944b-e7eb37a6aa8e?mhq5j=e2 Acessado em: 08/06/2017

Fornell, C., Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50, DOI: 10.2307/3151312

Gupta, A.; Dogra, N.; George, B. (2018). What determines tourist adoption of smartphone apps? An analysis based on the UTAUT-2 framework. Journal of Hospitality and Tourism Technology, Vol. 9 Issue: 1, pp.50-64, DOI: 10.1108/JHTT-02-2017-0013

Giovanis, A. N., Tomaras, P., & Zondiros D. (2013). “Suppliers logistics service quality performance and its effect on retailers’ behavioral intentions”, Procedia-Social and Behavioral Sciences, 73, 302–309, DOI: 10.1016/j.sbspro.2013.02.056

Hair, J. R., Black, W. C., Babin, B. J., Anderson, R. E. & Tatham, R. L. (2006). Multivariate Data Analysis. 6ª Ed. Upper Saddle River, NJ: Pearson Prentice Hall, ISBN: 9780138132309

Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications. DOI: 10.1080/1743727X.2015.1005806

Helkkula, Aapeli. (2016). Consumers’ Intentions to Subscribe to Music Streaming Services (title of thesis – master’s degree). Aalto University, P.O. BOX 11000, 00076, 2016. p. 1-50.

Hermann, L. A. (2012). A convergência midiática e as mudanças comportamentais no consumo do mercado de nicho: Netflix e a “desmaterialização” dos produtos. Animus Revista Interamericana de Comunicação Midiática, v. 11, n. 22, 2012.

Herrero, A., Martín, H. S., & Salmones, M. M. G. (2017). Explaining the adoption of social networks sites for sharing user generated content: A revision of the UTAUT2. Computers in Human Behavior, v. 71, p. 209-217, DOI: 10.1016/j.chb.2017.02.007

IFPI (International Federation of the Phonographic Industry) (2016). “Consumer Research e http://www.ifpi.org/facts-and-stats.php

Jeng, D. J.-F. & Tzeng, G. -H (2012). “Social influence on the use of clinical decision support systems: revisiting the unified theoryof acceptance and use of technology by the fuzzy DEMATELtechnique,” Computers and Industrial Engineering, vol. 62(3), 819–828, DOI: 10.1016/j.cie.2011.12.016

Kim, H.-W., Chan H. C., & Gupta S. (2007). “Value-based adoption of mobile internet: an empirical investigation,” Decision Support Systems, 43(1), 111–126, DOI:10.1016/j.dss.2005.05.009

Kit, A. K. L. (2014). UTAUT2 influencing the behavioural intention to adopt mobile applications. Tese (Doutorado). University Tunku Abdul Rahman.

Lee, C. (2013). Streaming media service based on fuzzy similarity in wireless mobile networks. Journal of Supercomputing, 65(1), 86-105. DOI: 10.1007/s11227-012-0778-6

Li, S., Xu, D. L. & Zhao, S. (2015). The internet of things: a survey. Information Systems Frontiers, 17, 243–259, DOI: 10.1007/s10796-014-9492-7

Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). “How habit limits the predictive power of intention: the case of information systems continuance,” MIS Quarterly: Management Information Systems, 31(4), 705–737, DOI: 10.2307/25148817

Loureiro, S. M. C.; Cavallero, L.; Miranda, F. J. (2018). Fashion brands on retail websites: Customer performance expectancy and e-word-of-mouth. Journal of Retailing and Consumer Services, v. 41, p. 131-141.

Madigan, R., Louw, T., Dziennus, M., Graindorge, T., Ortega, E., Graindorge, M., & Merat, N. (2016). Acceptance of automated road transport systems (ARTS): an adaptation of the UTAUT model. Transportation Research Procedia, v. 14, p. 2217-2226.

Magni, M., Taylor, M. S. & Venkatesh V. (2010). “To play or not to play”: a cross-temporal investigation using hedonic and instrumental perspectives to explain user intentions to explore a technology,” International Journal of Human Computer Studies, 68(9), 572–588, DOI: 10.1016/j.ijhcs.2010.03.004

Malhotra, N. K. (2014). Essentials of Marketing Research: A Hands-On Orientation. Prentice Hall, 1Edition, January 20, ISBN-13: 978-0137066735

Mishra, A., Maheswarappa, S. S., Maity, M., & Samu, S. (2017). Adolescent's eWOM intentions: An investigation into the roles of peers, the Internet and gender. Journal of Business Research. 86, 394-405, DOI: 10.1016/j.jbusres.2017.04.005

Neufeld, D. J.; Dong, L.; Higgins, C. (2007). Charismatic Leadership and User Acceptance of Information Technology. European Journal of Information Systems, 16(4), 494-510, DOI: 10.1057/palgrave.ejis.3000682

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). New York: Free Press, ISBN-13: 978-0743222099

Ryan, R. M. & Deci, E. L. (2000). “Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being,” American Psychologist, 55(1), 68–78, DOI: 10.1037110003-066X.55.1.68

Silva, G. A. Alves da., & Hamza, K. M. (2017). Comportamento do consumidor de streaming de vídeo sob a ótica da extensão da teoria unificada de aceitação e uso da tecnologia. EnANPAD 2017, São Paulo/SP – 01 a 04 de Outubro.

Singh, M., Matsui, Y. (2018). How Long Tail and Trust Affect Online Shopping Behavior: An Extension to UTAUT2 Framework. Pacific Asia Journal of the Association for Systems, v. 9, n. 4.

Soltani, I. & Gharbi, J. (2008). “Determinants and consequences of the website perceived value”, Journal of Internet Banking and Commerce 13(1):1-13

Tandon, U., Kiran, R., & Sah, A. N. (2016). Understanding online shopping adoption in India: unified theory of acceptance and use of technology 2 (UTAUT2) with perceived risk application. Service Science, v. 8, n. 4, p. 420-437.

Tarhini, A., El-Masri, M., Ali, M. & Serrano, A. (2016). Extending the UTAUT model to understand the customers’ acceptance and use of internet banking in Lebanon: A structural equation modeling approach. Information Technology & People, v. 29, n. 4, p. 830-849.

Teo, T. S. H., Lim. V. K. G & Lai. R. Y. C. (1999). “Intrinsic and extrinsic motivation in Internet usage,” Omega, 27(1), 25–37, DOI: 10.1016/S0305-0483(98)00028-0

The Guardian Web Wise: What is a streaming. (2012). http://www.bbc.co.uk/webwise/guides/about-streaming Acessado em: 08/06/2017

Thompson, R. L., C. A. Higgins C. A., Howell. J. M. (1991). “Personal computing: toward a conceptual model of utilization,” MIS Quarterly, 15(1), 125–143, DOI: 10.2307/249443

Venkatesh, V.; Morris, M.; Davis, G.; Davis D. (2003). “User acceptance of information technology: toward a unified view”. MIS Quarterly, 27(3), 425-478, DOI: 10.2307/30036540

Venkatesh, V., Thong, J. Y. L., Xu, X. (March 2012). “Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology”. MIS Quarterly, 36(1), 157-178, ISSN:0276-7783

Vrijens, J. (2013). Online streaming: De redding van de muziekindustrie? (master’s degree), Communicatiewetenschappen.

Whitmore, A., Agarwal, A. & Xu, L. D. (2015). The internet of things - a survey of topics and trends. Information Systems Frontiers, 17, 261–274, DOI:10.1007/s10796-014-9489-2

Xu, B., Xu, D. L., Cai, H., Xie, C., Hu, J. & Bu, F. (2014). Ubiquitous data accessing method in IoT-based information system for emergency medical services. IEEE Transactions on Industrial Informatics, 10, 1578–1586, DOI: 10.1109/TII.2014.2306382

Zeithaml, V. A. (1988). “Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence,” The Journal of Marketing, 52(3), 2–22, DOI: 10.2307/1251446

Zhao L., Lu, Y., Zhang, L. & Chau, P. Y. K. (2012). “Assessing the effects of service quality and justice on customer satisfaction and the continuance intention of mobile value-added services: an empirical test of a multidimensional model,” Decision Support Systems, 52(3), 645–656, DOI: 10.1016/j.dss.2011.10.022

Zhou, T. & Lu, Y. (2011). “Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience,” Computers in Human Behavior, 27(2), 883–889, DOI: 10.1016/j.chb.2010.11.013