Perceived playfulness, perceived usefulness, confirmation dan continuance intention pada layanan video on demand: satisfaction sebagai mediasi
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Abstract
Despite the increasing number of video-on-demand (VOD) subscribers during the pandemic, extant research has not explained factors that might contribute to customers’ intention to continue their subscriptions. Therefore, this study aims to explain the effect of perceived playfulness, perceived usefulness, and confirmation on continuance intention with satisfaction as the mediating variable. By using partial least squares (PLS) in our data analysis, our results show the importance of confirmation or the fit between customer expectations and their real experiences in using VOD services on continuance intention. In addition, the results show the role of customer satisfaction either as the full mediating or partial mediating variable that explains the relationship between perceived playfulness, perceived usefulness and confirmation on continuance intention.
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References
Abdillah, W., & Hartono, J. (2019). Partial Least Square (PLS): alternatif structural equation modeling (SEM) dalam penelitian bisnis. Yogyakarta: Penerbit Andi.
Ardani, W., Rahyuda, K., Giantari, I. G. A. K., & Sukaatmadja, I. P. G. (2019). Customer satisfaction and behavioral intentions in tourism: A literature review. International Journal of Applied Business and International Management (IJABIM), 4(3), 84–93.
Bhattacherjee, A., Perols, J., & Sanford, C. (2008). Information Technology Continuance: A Theoretic Extension and Empirical Test. Journal of Computer Information Systems, 49(1), 17–26. https://doi.org/10.1080/08874417.2008.11645302
Bhojwani, L. (2021). MPA Report: Southeast Asia Streaming Minutes Reached 1.2 Trillion in Q2 With Premium Video at 10% Share, SVOD Subs Reach a Total of 30 Million. Media Partner Asia. https://www.media-partners-asia.com/AMPD/Q2_2021/SEA/AMPD_Q2_PR.pdf
Chang, C.-C., Hung, S.-W., Cheng, M.-J., & Wu, C.-Y. (2015). Exploring the intention to continue using social networking sites: The case of Facebook. Technological Forecasting and Social Change, 95, 48–56. https://doi.org/10.1016/j.techfore.2014.03.012
Fu, X., Zhang, J., & Chan, F. T. S. (2018). Determinants of loyalty to public transit: A model integrating Satisfaction-Loyalty Theory and Expectation-Confirmation Theory. Transportation Research Part A: Policy and Practice, 113, 476–490. https://doi.org/10.1016/j.tra.2018.05.012
Gao, B. W., Jiang, J., & Tang, Y. (2020). The effect of blended learning platform and engagement on students’ satisfaction - the case from the tourism management teaching. Journal of Hospitality, Leisure, Sport & Tourism Education, 27, 100272. https://doi.org/10.1016/j.jhlste.2020.100272
Ghozali, I., & Latan, H. (2015). Partial Least Squares Konsep, Teknik dan Aplikasi Mengguanakan Program SmartPLS 3.0. Semarang: Badan Penerbit Universitas Diponegoro.
Gunawan, F., Santoso, A. S., Yustina, A. I., & Rahmiati, F. (2022). Examining the effect of radical innovation and incremental innovation on leading e-commerce startups by using expectation confirmation model. Procedia Computer Science, 197, 393–402. https://doi.org/10.1016/j.procs.2021.12.155
Gupta, A., Dhiman, N., Yousaf, A., & Arora, N. (2021). Social comparison and continuance intention of smart fitness wearables: an extended expectation confirmation theory perspective. Behaviour & Information Technology, 40(13), 1341–1354. https://doi.org/10.1080/0144929X.2020.1748715
Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014). Partial least squares structural equation modeling (PLS-SEM). European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
Hsu, C.-L., Chang, K.-C., & Chen, M.-C. (2012). The impact of website quality on customer satisfaction and purchase intention: perceived playfulness and perceived flow as mediators. Information Systems and E-Business Management, 10(4), 549–570. https://doi.org/10.1007/s10257-011-0181-5
Jo, J. H., Lee, J. H., & Cho, S. (2020). The characteristics of videos on demand for television programs and the determinants of their viewing patterns: Evidence from the Korean IPTV market. Telecommunications Policy, 44(8), 102001. https://doi.org/10.1016/j.telpol.2020.102001
Kadi, D. C. A., Purwanto, H., & Vonseica, B. R. (2021). Pengaruh destination image terhadap revisit intention dan intention to recommend melalui satisfaction sebagai variabel intervening. MBR (Management and Business Review), 5(2), 176–187. https://doi.org/10.21067/mbr.v5i2.5820
Kang, H. J., Shin, J., & Ponto, K. (2020). How 3D virtual reality stores can shape consumer purchase decisions: the roles of informativeness and playfulness. Journal of Interactive Marketing, 49, 70–85. https://doi.org/10.1016/j.intmar.2019.07.002
Kurniawan, E. Z., Tobing, G. D. M., Naratama, N., & Anggraeni, A. (2021). The Factors Influencing Millennials’ Continuance Intention to Use Subscription Video-on-Demand (SVoD) in Jakarta. 2021 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS, 356–362.
Li, C.-H., & Chang, C.-M. (2016). The influence of trust and perceived playfulness on the relationship commitment of hospitality online social network-moderating effects of gender. International Journal of Contemporary Hospitality Management, 28(5), 924–944. https://doi.org/10.1108/IJCHM-05-2014-0227
Lim, S. H., Kim, D. J., Hur, Y., & Park, K. (2019). An Empirical Study of the Impacts of Perceived Security and Knowledge on Continuous Intention to Use Mobile Fintech Payment Services. International Journal of Human–Computer Interaction, 35(10), 886–898. https://doi.org/10.1080/10447318.2018.1507132
Lin, C. S., Wu, S., & Tsai, R. J. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information & Management, 42(5), 683–693. https://doi.org/10.1016/j.im.2004.04.003
Lin, T.-C., Wu, S., Hsu, J. S.-C., & Chou, Y.-C. (2012). The integration of value-based adoption and expectation–confirmation models: An example of IPTV continuance intention. Decision Support Systems, 54(1), 63–75. https://doi.org/10.1016/j.dss.2012.04.004
Liu, H., Shao, M., Liu, X., & Zhao, L. (2021). Exploring the influential factors on readers’ continuance intentions of E-Book APPs: personalization, usefulness, playfulness, and satisfaction. Frontiers in Psychology, 12, 640110.
Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217–230. https://doi.org/10.1016/S0378-7206(00)00061-6
Nascimento, B., Oliveira, T., & Tam, C. (2018). Wearable technology: What explains continuance intention in smartwatches? Journal of Retailing and Consumer Services, 43, 157–169. https://doi.org/10.1016/j.jretconser.2018.03.017
Ningsih, A. S., & Nurfarida, I. N. (2022). Efek kualitas layanan pada loyalitas pelanggan: peran mediasi kepuasan pelanggan . MBR (Management and Business Review), 6(1 SE-Articles), 81–90. https://doi.org/10.21067/mbr.v6i1.6962
Pereira, R., & Tam, C. (2021). Impact of enjoyment on the usage continuance intention of video-on-demand services. Information & Management, 58(7), 103501. https://doi.org/10.1016/j.im.2021.103501
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Tam, C., Barroso, M., & Cruz-Jesus, F. (2022). Understanding the determinants of users’ continuance intention to buy low-cost airline flights online. Journal of Hospitality and Tourism Technology, 13(2), 264–280. https://doi.org/10.1108/JHTT-12-2020-0316
Wen, C., Wang, N. (Tina), Fang, J., & Huang, M. (2022). An Integrated Model of Continued M-Commerce Applications Usage. Journal of Computer Information Systems, 1–16. https://doi.org/10.1080/08874417.2022.2091682
Wolverton, C. C., Hirschheim, R., Black, W. C., & Burleson, J. (2020). Outsourcing success in the eye of the beholder: Examining the impact of expectation confirmation theory on IT outsourcing. Information & Management, 57(6), 103236. https://doi.org/10.1016/j.im.2019.103236
Yan, M., Filieri, R., & Gorton, M. (2021). Continuance intention of online technologies: A systematic literature review. International Journal of Information Management, 58, 102315. https://doi.org/10.1016/j.ijinfomgt.2021.102315
Zhao, Y., & Bacao, F. (2020). What factors determining customer continuingly using food delivery apps during 2019 novel coronavirus pandemic period? International Journal of Hospitality Management, 91, 102683. https://doi.org/10.1016/j.ijhm.2020.102683