Dr Mthobisi Nhlabathi
Vol 20 | Issue 1 | pp. 148-163
Abstract
The COVID-19 pandemic has drastically affected the global economy, with the music industry particularly impacted by the halt in live events and physical sales. This contributed to an increase in the consumption of music through digital platforms, both globally and especially in South Africa. However, the readiness of South African consumers to fully embrace online music platforms remained unclear. This research assessed the technological readiness of South African music enthusiasts and its influence on their attitudes and intentions towards digital music platforms. Utilizing the technology readiness model and theory of reasoned action, data was gathered from 358 respondents (aged 18-60) in Johannesburg using a paper-based self-administered survey. A Structural Equation Modelling (SEM) was conducted using AMOS version 28 where the analysis revealed that optimism and innovativeness positively and significantly impacted attitudes towards digital platforms, whereas insecurity had a significantly detrimental effect. Although discomfort’s influence was positive, it was not significant. Crucially, a positive consumer attitude significantly bolstered the intention to use online music platforms.
Keywords: technology readiness index, consumer attitude, behavioural intention, digital music platforms, South
Africa
References
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Ajzen, I. (2002). Perceived behavioral control, self‐efficacy, locus of control, and the theory of planned behavior 1. Journal of applied social psychology, 32(4), 665-683.
Ajzen, I., & Fishbein, M. (1980). Understanding attitudes and predicting social behavior. Prentice-Hall.
Alfy, E. A., Gomez, S., & Ivanov, S. (2017). Consumer adoption of e-Service: Integrating Technology Readiness with the Technology Acceptance Model. Journal of Business Research, 101, 149-159.
Ali, F., Amin, M., & Cobanoglu, C. (2016). An integrated model of service experience, emotions, satisfaction, and price acceptance: an empirical analysis in the Chinese hospitality industry. Journal of Hospitality Marketing & Management, 25(4), 449-475.
Ali, F., Ullah, R., Irshad, M., Aamir, A., & Khan, M. (2019). Innovativeness and consumer behavior: A conceptual framework. European Journal of Business and Management, 11(22).
Álvarez-Marín, A., Velázquez-Iturbide, J. Á., & Castillo-Vergara, M. (2021). The acceptance of augmented reality in engineering education: the role of technology optimism and technology innovativeness. Interactive Learning Environments, 31(6), 3409–3421.
Baptista, G. & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in Human Behavior, 5(1):418-430.
Bilici, F., & Türkoğlu, İ. K. (2024). Autonomous Vehicle Technology and Technology Acceptance: The Role of Technological Readiness on Consumers’ Attitudes Towards Driverless Cars and Intention to Use in the Future. Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 36(1), 383-407.
BusinessTech. (2023). Alarm bells over cybercrime in South Africa. BusinessTech. Accessed from https://businesstech.co.za/news/technology/717110/alarm-bells-over-cybercrime-in-south-africa/, 18 December 2023
Buyle, R., Compernolle, S., Vlassenroot, S., Mechant, P., & Mannens, E. (2018). Technology Readiness and Acceptance Model as a Predictor for the Use Intention of Data Standards in Smart Cities. Future Internet, 10(9), 83.
Chen, M. F., & Chang, Y. Y. (2012). Understanding customer knowledge management. Total Quality Management & Business Excellence, 23(4), 403-418.
Chen, S. C., & Li, S. H. (2010). Technology readiness and acceptance in online food ordering systems: A case study of consumers in Taiwan. International Journal of Information Mana gement, 30(6), 541-550.
Cheung, R. (2009). Examining the integrated influence of intrinsic motivation, extrinsic motivation, and teaching quality on student learning through self-determination. British Journal of Educational Psychology, 79(4), 773-790.
ConcertSA (2022). Digital Futures Two – Taking your music online in South Africa. Accessed on 2 July from https://concertssa.co.za/wp-content/uploads/2023/10/Digital-Futures-Two-Taking-Music-Online-in-South-Africa-1.pdf
Costa-Font, J., Mossialos, E., & Rudisill, C. (2009). Optimism and the perceptions of new risks. Journal of Risk Research, 12(1), 27-41.
Denk, N., Burmester, A., Kandziora, C., & Clement, M. (2022). Impact of COVID-19 on the Music Industry: A Global Analysis. Journal of Cultural Economics, 46, 1-20.
Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.
Hasheem, M., Farooq, A., & Shahid, M. (2022). Factors influencing purchase intention of solar photovoltaic technology: An extended perspective of technology readiness index and theory of planned behaviour. Journal of Cleaner Production, 294, 126367.
Hair, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modelling. Journal of the academy of marketing science, 43, 115-135.
Hu, Y., & Kim, J. M. (2022). The Impact of the COVID-19 Pandemic on the Music Industry. FinTech, 1(4), 399-411.
Hulse, L., Xie, H., & Galea, E. (2018). Perceptions of autonomous vehicles: Relationships with road users, risk, gender and age. Safety science, 102, 1-13.
Independent Online. (2023). Cybercrime: A clear and present danger for individuals and businesses. IOL Personal Finance. Retrieved from https://www.iol.co.za/personal-finance/financial-planning/cybercrime-a-clear-and-present-danger-for-individuals-and-businesses-024a03b9-e01a-42f7-b91c-8ad1ab16d1e6/, 18 December 2023
Kursan Milakovic, I. (2021). Exploring consumer resilience during COVID-19: demographics, consumer optimism, innovativeness and online buying. Economic and business review, 23(4), 260-272.
Lin, F. R., Shih, H. P., Sher, P. J., Wang, Y. T., & Hung, S. W. (2005). The impact of technology readiness on satisfaction and behavioral intentions toward self-service technologies. Computers in Human Behavior, 21(5), 816-832.
Lin, J. S. C., & Hsieh, P. L. (2006). The role of technology readiness in customers’ perception and adoption of self‐service technologies. International Journal of Service Industry Management, 17(5), 497-517.
Lin, C. H., Shih, H. Y., & Sher, P. J. (2007). Integrating technology readiness into technology acceptance: The TRAM model. Psychology & Marketing, 24(7), 641-657.
Lin, J. S. C., & Chang, H. C. (2011). The role of technology readiness in self‐service technology acceptance. Managing Service Quality: An International Journal, 21(4), 424-444.
Maduku, D. K., Rana, N. P., Mpinganjira, M., Thusi, P., Mkhize, N. H. B., & Ledikwe, A. (2024). Do AI-powered digital assistants influence customer emotions, engagement and loyalty? An empirical investigation. Asia Pacific Journal of Marketing and Logistics.
Maduku, D. K. (2021). Assessing the role of technology readiness in influencing e-health adoption in developing countries. Journal of Enterprise Information Management.
Mick, D. G., & Fournier, S. (1998). Paradoxes of technology: Consumer cognizance, emotions, and coping strategies. Journal of Consumer Research, 25(2), 123-143.
MyBroadband (2024). Music streaming explosion in South Africa. Access on 2 July 2024 from https://mybroadband.co.za/news/it-services/530649-music-streaming-explosion-in-south-africa.html
Nhlabathi, M., 2021. Dimensions of Students’ Satisfaction with Residential Housing and its Impact on their Loyalty–A South African Study. Real Estate Management and Valuation, 29(4), pp.53-66.
Nordhoff, S., De Winter, J., Kyriakidis, M., Van Arem, B., & Happee, R. (2018). Acceptance of Driverless Vehicles: Results from a Large Cross‐National Questionnaire Study. Journal of advanced transportation, 2018(1), 5382192.
Park, J. E., & Zhang, J. (2022). Technology readiness and technology paradox of unmanned convenience store users. International Journal of Information Management, 66, 102245.
Parasuraman, A. (2000). Technology readiness index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320.
Park, J. S., Ha, S., & Jeong, S. W. (2021). Consumer acceptance of self-service technologies in fashion retail stores. Journal of Fashion Marketing and Management: An International Journal, 25(2), 371-388.
Patry, A. L., & Pelletier, L. G. (2001). Extraterrestrial beliefs and experiences: An application of the theory of reasoned action. The Journal of social psychology, 141(2), 199-217.
Payre, W., Cestac, J., & Delhomme, P. (2014). Intention to use a fully automated car: Attitudes and a priori acceptability. Transportation research part F: traffic psychology and behaviour, 27, 252-263.
Risa (2024). Industry statistics. Accessed on 2 July from https://www.risa.org.za/website/statistics/
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2014). Diffusion of innovations. In An integrated approach to communication theory and research (pp. 432-448). Routledge.
Rojas-Mendez, J. I., Parasuraman, A., & Papadopoulos, N. (2017). Demographics, attitudes, and technology readiness: A cross-cultural analysis and model validation. Marketing Intelligence & Planning, 35(1), 18-39.
Salonen A & Haavisto N (2019). Towards Autonomous Transportation. Passengers’ Experiences, Perceptions and Feelings in a Driverless Shuttle Bus in Finland. Sustainability. 11(3):588.
Silva, G. M., Dias, Á., & Rodrigues, M. S. (2022). Continuity of use of food delivery apps: An integrated approach to the health belief model and the technology readiness and acceptance model. Journal of Open Innovation: Technology, Market, and Complexity, 8(3), 114.
Statista (2023). Digital music streaming in South Africa. Statista. Accessed from https://www.statista.com/outlook/dmo/digital-media/digital-music/music-streaming/south-africa, 18 December 2023
Verissom, J.M.C. (2016). Enablers and restrictors of mobile banking app use: A fuzzy set qualitative comparative analysis. Journal of Business Research, 69(2016):5454-5460.
Yi, M. Y., Fiedler, K. D., & Park, J. S. (2006). Understanding the role of individual innovativeness in the acceptance of IT‐based innovations: Comparative analyses of models and measures. Decision sciences, 37(3), 393-426.
