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Research Articles

An Empirical Analysis of Factors Affecting OTT Service Users’ Switching Intention: Focusing on Netflix and the Perspective of the Push-Pull-Mooring Framework

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Pages 3253-3262 | Received 29 Sep 2022, Accepted 24 Feb 2023, Published online: 07 Mar 2023

References

  • Aaker, D. A. (1991). Marketing brand equity: Capitalizing on the value of a brand name. The Free Press.
  • Aarts, H. (1999). Habit, attitude, and planned Behaviour: Is habit an empty construct or an interesting case of goal directed automaticity? European Review of Social Psychology, 10(1), 101–134. https://doi.org/10.1080/14792779943000035
  • Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411–454. https://doi.org/10.1086/209080
  • Alcántara-Pilar, J. M., Blanco-Encomienda, F. J., Armenski, T., & Del Barrio-García, S. (2018). The antecedent role of online satisfaction, perceived risk online, and perceived website usability on the affect towards travel destinations. Journal of Destination Marketing & Management, 9, 20–35. https://doi.org/10.1016/j.jdmm.2017.09.005
  • Amoroso, D., & Lim, R. (2017). The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693–702. https://doi.org/10.1016/j.ijinfomgt.2017.05.003
  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF02723327
  • Bauer, R. (1960). Consumer behavior as risk taking. In R. Hancock (Ed.), Dynamic marketing for a changing world (pp. 389–398). American Marketing Association.
  • Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230–258. https://doi.org/10.1177/0049124192021002005
  • Cheng, S., Lee, S. J., & Choi, B. (2019). An empirical investigation of users’ voluntary switching intention for mobile personal cloud storage services based on the push-pull-mooring framework. Computers in Human Behavior, 92, 198–215. https://doi.org/10.1016/j.chb.2018.10.035
  • Cong, L. C. (2021). Perceived risk and destination knowledge in the satisfaction-loyalty intention relationship: An empirical study of European tourists in Vietnam. Journal of Outdoor Recreation and Tourism, 33, 100343–100310. https://doi.org/10.1016/j.jort.2020.100343
  • Diener, E., Smith, H., & Fujita, F. (1995). The personality structure of affect. Journal of Personality and Social Psychology, 69(1), 130–141. https://doi.org/10.1037/0022-3514.69.1.130
  • Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/002224378101800313
  • Gerhart, N., & Koohikamali, M. (2019). Social network migration and anonymity expectations: What anonymous social network apps offer. Computers in Human Behavior, 95, 101–113. https://doi.org/10.1016/j.chb.2019.01.030
  • Hair, J. F., et al. (1998). Multivariate data analysis. Prentice hall.
  • Herzberg, F. (1987). One more time: How do you motivate employees? Harvard Business Review, 65(5), 109–120.
  • Hou, A. C., Chern, C. C., Chen, H. G., & Chen, Y. C. (2011). ‘Migrating to a new virtual world’: Exploring MMORPG switching through human migration theory. Computers in Human Behavior, 27(5), 1892–1903. https://doi.org/10.1016/j.chb.2011.04.013
  • Hsiao, C. H., Chang, J. J., & Tang, K. Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342–355. https://doi.org/10.1016/j.tele.2015.08.014
  • Hsieh, P. J. (2021). Understanding medical consumers’ intentions to switch from cash payment to medical mobile payment: A perspective of technology migration. Technological Forecasting and Social Change, 173, 121074. https://doi.org/10.1016/j.techfore.2021.121074
  • Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002). Why customers stay: Measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of Business Research, 55(6), 441–450. https://doi.org/10.1016/S0148-2963(00)00168-5
  • Ju, N. Y., Kim, J. W., & Kim, E. J. (2017). An empirical study on the factors influencing on the customer satisfaction in case of switching from mobile banking to fintech service. Korean Association of Information Systems, 26(4), 203–225. https://doi.org/10.5859/KAIS.2017.26.4.203
  • Kim, B. (2017). Understanding key antecedents of user loyalty toward mobile messenger applications: An integrative view of emotions and the dedication-constraint model. International Journal of Human–Computer Interaction, 33(12), 984–1000. https://doi.org/10.1080/10447318.2017.1304607
  • Kim, G., Shin, B., & Lee, H. G. (2006). A study of factors that affect user intentions toward email service switching. Information & Management, 43(7), 884–893. https://doi.org/10.1016/j.im.2006.08.004
  • Kim, H. M., & Kim, M. (2022). Viewership motivations of live game streaming via over-the-top apps: measurement scale development and validation. International Journal of Human–Computer Interaction, 1–14. https://doi.org/10.1080/10447318.2022.2074644
  • Kim, J. Y., & Lee, J. S. (2021). Research examining factors affecting switching cost to Disney + OTT service: Focusing on the moderation role of switching cost. Korean Association for Broadcasting & Telecommunication Studies, 116, 41–67.
  • Kim, S. H. (2013). Moderating effects of switching cost on the IT service switching intention. The Korea Contents Association, 13(10), 452–460. https://doi.org/10.5392/JKCA.2013.13.10.452
  • Kim, S. S., & Son, J. Y. (2009). Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Quarterly, 33(1), 49–70. https://doi.org/10.2307/20650278
  • Korea Creative Content Agency (2022). https://www.kocca.kr/
  • Kuo, R. Z. (2020). Why do people switch mobile payment service platforms? An empirical study in Taiwan. Technology in Society, 62, 101312. https://doi.org/10.1016/j.techsoc.2020.101312
  • Lai, J. Y., & Wang, J. (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study. Technological Forecasting and Social Change, 92, 155–167. https://doi.org/10.1016/j.techfore.2014.06.004
  • Laroche, M., McDougall, G. H., Bergeron, J., & Yang, Z. (2004). Exploring how intangibility affects perceived risk. Journal of Service Research, 6(4), 373–389. https://doi.org/10.1177/1094670503262955
  • Lee, J. S., & Cho, J. (2021). Determinants of continuance intention for over-the-top services. Social Behavior and Personality: An International Journal, 49(12), 1–13. https://doi.org/10.2224/sbp.10566
  • Lee, K. S. (2012). The transnational consumption of Korean television drama and the development of fandom: The analysis of Chinese on-line community of 〈Moon Embracing the Sun〉. Korean Women’s Association for Communication Studies, 23, 177–209.
  • Lee, Y. K., Lee, S. M., & Cho, H. C. (2011). The effects of habits and switching cost in continued use of the online shooping. Korean Business Edication Review, 26(3), 405–426.
  • Lewicki, R. J., McAllister, D. J., & Bies, R. J. (1998). Trust and distrust: New relationships and realities. The Academy of Management Review, 23(3), 438–458. https://doi.org/10.5465/amr.1998.926620
  • Liao, Y. W., Huang, Y. M., Huang, S. H., Chen, H. C., & Wei, C. W. (2019). Exploring the switching intention of learners on social network-based learning platforms: A perspective of the push–pull–mooring model. Eurasia Journal of Mathematics, Science and Technology Education, 15(9), em1747. https://doi.org/10.29333/ejmste/108483
  • Lin, C. P., & Hsieh, C. Y. (2022). Modeling switching intention of mobile payment service in the moderation of usage inertia and IT self-efficacy: Implications for user education. International Journal of Human–Computer Interaction, 1–10. https://doi.org/10.1080/10447318.2022.2090091
  • Lin, T. C., & Huang, S. L. (2014). Understanding the determinants of consumers’ switching intentions in a standards war. International Journal of Electronic Commerce, 19(1), 163–189. https://doi.org/10.2753/JEC1086-4415190105
  • Longino, C. F. Jr. (1992). The forest and the trees: Micro-level considerations in the study of geographic mobility in old age. In A. Rogers (Ed.), Elderly migration and population redistribution. Belhaven.
  • Marks, L. J., & Olson, J. C. (1981). Toward a cognitive structure conceptualization of product familiarity. ACR North American Advances.
  • Marsh, H. W., Wen, Z., & Hau, K. T. (2006). Structural equation models of latent interaction and quadratic effects. Information Age Publishing Inc.
  • Menon, D. (2022). Purchase and continuation intentions of over-the-top (OTT) video streaming platform subscriptions: A uses and gratification theory perspective. Telematics and Informatics Reports, 5, 100006. https://doi.org/10.1016/j.teler.2022.100006
  • Mo, M. G., Jung, S. H., & Lee, D. H. (2014). A comparative study of switching intention of Smartphone users: Korean and Chinese. Korea Society of Industrial Information Systems, 19(6), 131–150. https://doi.org/10.9723/jksiis.2014.19.6.131
  • Moon, B. (1995). Paradigms in migration research: Exploring ‘moorings’ as a schema. Progress in Human Geography, 19(4), 504–524. https://doi.org/10.1177/030913259501900404
  • Morrison, D. E., & Firmstone, J. (2000). The social function of trust and implications for e-commerce. International Journal of Advertising, 19(5), 599–623. https://doi.org/10.1080/02650487.2000.11104826
  • Nepomuceno, M. V., Laroche, M., & Richard, M. O. (2014). How to reduce perceived risk when buying online: The interactions between intangibility, product knowledge, brand familiarity, privacy and security concerns. Journal of Retailing and Consumer Services, 21(4), 619–629. https://doi.org/10.1016/j.jretconser.2013.11.006
  • Nunnally, J. E. (1978). Psychometric theory 3E. Tata McGraw-Hill Education.
  • Peng, X., Zhao, Y. C., & Zhu, Q. (2016). Investigating user switching intention for mobile instant messaging application: Taking WeChat as an example. Computers in Human Behavior, 64, 206–216. https://doi.org/10.1016/j.chb.2016.06.054
  • Rahe, V., Buschow, C., & Schlütz, D. (2021). How users approach novel media products: Brand perception of Netflix and Amazon Prime video as signposts within the German subscription-based video-on-demand market. Journal of Media Business Studies, 18(1), 45–58. https://doi.org/10.1080/16522354.2020.1780067
  • Rahman, K. T., & Arif, M. Z. U. (2021). Impacts of binge-watching on Netflix during the COVID-19 pandemic. South Asian Journal of Marketing, 2(1), 97–112. https://doi.org/10.1108/SAJM-05-2021-0070
  • Ramírez-Correa, P., Rondán-Cataluña, F. J., Arenas-Gaitán, J., & Martín-Velicia, F. (2019). Analysing the acceptation of online games in mobile devices: An application of UTAUT2. Journal of Retailing and Consumer Services, 50, 85–93. https://doi.org/10.1016/j.jretconser.2019.04.018
  • Ravenstein, E. G. (1885). The laws of migration. Journal of the Statistical Society of London, 48(2), 167–235. https://doi.org/10.2307/2979181
  • Schmitt, B. (1999). Experiential marketing. Journal of Marketing Management, 15(1–3), 53–67. https://doi.org/10.1362/026725799784870496
  • Shin, S., & Park, J. (2020). A study on the factors which affect satisfaction and dissatisfaction of global OTT service: Focusing on Netflix. Journal of Cybercommunication Academic Society, 37(3), 53–94. https://doi.org/10.36494/JCAS.2020.09.7.3.53
  • Singh, R., & Rosengren, S. (2020). Why do online grocery shoppers switch? An empirical investigation of drivers of switching in online grocery. Journal of Retailing and Consumer Services, 53, 101962. https://doi.org/10.1016/j.jretconser.2019.101962
  • Son, J., & Y., Kang, I. W. (2018). A study on the effect of quality level of social media shopping platform on user’s acceptance behavior. Korea Internet e-Commerce Association, 18(6), 255–275. https://doi.org/10.37272/JIECR.2018.12.18.6.255
  • Statista (2022). Number of Netflix paid subscribers worldwide from 1st quarter 2013 to 4th quarter 2022. https://www.statista.com/
  • Teng, C. I. (2018). Managing gamer relationships to enhance online gamer loyalty: The perspectives of social capital theory and self-perception theory. Computers in Human Behavior, 79, 59–67. https://doi.org/10.1016/j.chb.2017.10.024
  • 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, 36(1), 157–178. https://doi.org/10.2307/41410412
  • Wang, L., Luo, X. R., Yang, X., & Qiao, Z. (2019). Easy come or easy go? Empirical evidence on switching behaviors in mobile payment applications. Information & Management, 56(7), 103150. https://doi.org/10.1016/j.im.2019.02.005
  • Woisetschläger, D. M., Lentz, P., & Evanschitzky, H. (2011). How habits, social ties, and economic switching barriers affect customer loyalty in contractual service settings. Journal of Business Research, 64(8), 800–808. https://doi.org/10.1016/j.jbusres.2010.10.007
  • Xu, X. Y., Wang, L. Y., Zhao, K., & Chang, F. K. (2021). The migration of viewers in gaming streaming: The perspective of a push-pull-mooring model. International Journal of Human–Computer Interaction, 37(14), 1330–1346. https://doi.org/10.1080/10447318.2021.1886480
  • Yoo, H. J. (2020). The comparative study on the behavior characteristics influencing the usage of OTT services. Global e-Business Association, 21(1), 55–72. https://doi.org/10.20462/TeBS.2020.02.21.1.55

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