PENGARUH PERCEIVED USEFULNESS, CONFIRMATION, DAN SATISFACTION TERHADAP CONTINUANCE INTENTION PENGGUNAAN FITUR LIVE STREAMING SHOPEE EIGER
DOI:
https://doi.org/10.22437/jmk.v15i01.52916Abstract
Abstract
This study aimed to analyze the effects of perceived usefulness, confirmation, and satisfaction on continuance intention in the use of Shopee live streaming features among Eiger product consumers. The rapid growth of e-commerce has driven changes in consumer behavior, where direct interaction through live streaming has become an important medium for building trust and user engagement. This study was grounded in the Expectation Confirmation Theory and the Technology Acceptance Model. A quantitative approach was employed using a survey of 150 respondents in Indonesia who had watched and purchased Eiger products through Shopee Live. Data were collected using a Likert-scale questionnaire and analyzed using variance-based structural equation modeling. The results show that perceived usefulness and confirmation positively influence satisfaction, and satisfaction significantly influences continuance intention. The findings confirm that perceived benefits and the alignment between actual experiences and initial expectations are key determinants in encouraging sustained use of live streaming features in e-commerce platforms. Future research is recommended to adopt a longitudinal design to capture changes in consumer perceptions and satisfaction over time.
Keywords: Perceived Usefulness, Confirmation, Satisfaction, Continuance Intention, Eiger
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References
Ahdiat, A. (2025). Indonesia digital outlook 2025: Consumer shift and market expansion. Katadata Insight Center. Retrieved March 3, 2025, from https://katadata.co.id
Ahdiat, A. (2025). Indonesia e-commerce traffic report 2025. Katadata Insight Center. Retrieved March 4, 2025, from https://katadata.co.id
Alfaqih, S. A. (2025). Dampak e-commerce terhadap UMKM di Indonesia: Peluang dan hambatan. Indonesian Journal of Economics, Management and Accounting, 2(7), 2094–2102. https://jurnal.intekom.id/index.php/ijema/article/view/1419
Asosiasi Penyelenggara Jasa Internet Indonesia. (2024). Laporan survei penetrasi dan perilaku pengguna internet Indonesia 2024. Retrieved March 5, 2025, from https://survei.apjii.or.id/survei/register/48
Ashraf, A. R., Thongpapanl, N., & Auh, S. (2020). Effects of post-adoption beliefs on customers’ online product recommendation continuous usage: An extended expectation-confirmation model. Journal of Retailing and Consumer Services, 54, 102035. https://doi.org/10.1016/j.jretconser.2019.102035
Ashraf, M., Ahmad, J., Hamyon, A. A., Sheikh, M. R., & Sharif, W. (2020). Effects of post-adoption beliefs on customers’ online product recommendation continuous usage: An extended expectation-confirmation model. Cogent Business & Management, 7(1), 1735693. https://doi.org/10.1080/23311975.2020.1735693
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
Chabata, T., Mafini, C., & Dhurup, M. (2024). Experiential value and continuance use of retailers’ mobile apps: Emerging market perspective. Journal of Retailing and Consumer Services, 75, 103458. https://doi.org/10.1016/j.jretconser.2023.103458
Chen, Y., Lu, Y., & Zheng, R. (2021). How live streaming influences purchase intentions: The role of authenticity, trust, and interactivity. Journal of Retailing and Consumer Services, 63, 102688. https://doi.org/10.1016/j.jretconser.2021.102688
Cuong, D. T. (2023). Determinants affecting online shopping consumers’ satisfaction and repurchase intention: Evidence from Vietnam. Innovative Marketing, 19(1), 126–139. https://doi.org/10.21511/im.19(1).2023.11
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
Dev, A. (2024). Indonesia sports and outdoor market report. Statista Research Department Research. Retrieved March 6, 2025, from https://www.kenresearch.com/ indonesia-sports-equipment-and-outdoor-gear-market
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.
Google, Temasek, & Bain & Company. (2023). e-Conomy SEA 2023 report. https://economysea.withgoogle.com
Granić, A., & Davis, F. D. (2020). The technology acceptance model: 30 years of TAM. Springer. https://doi.org/10.1007/978-3-030-44994-5
Gunawan, A., Djunaedi, A., & Prabawa, R. (2022). Examining the effect of radical innovation and incremental innovation on leading e-commerce startups by using expectation confirmation model. Technology in Society, 71, 102113. https://doi.org/10.1016/j.techsoc.2022.102113
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications.
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203
Huang, Z., & Benyoucef, M. (2023). Consumer interaction and satisfaction in live stream shopping: The role of real-time engagement. Electronic Commerce Research and Applications, 57, 101238. https://doi.org/10.1016/j.elerap.2023.101238
Ngubelanga, A., & Duffett, R. (2021). Modeling mobile commerce applications’ antecedents of customer satisfaction among millennials: An extended TAM perspective. Cogent Business & Management, 8(1), 1895450. https://doi.org/10.1080/23311975.2021.1895450
Nguyen, G.-D., & Dao, T.-H. T. (2024). The moderating role of flow experience on mobile commerce continuance intention: The integrative view of user adaptation, expectation confirmation, and task-technology models. SAGE Open, 14(2). https://doi.org/10.1177/21582440241253889
Nguyen, G.-D., & Ha, M.-T. (2021). The role of user adaptation and trust in understanding continuance intention towards mobile shopping: An extended expectation-confirmation model. Cogent Business & Management, 8(1), 1980248. https://doi.org/10.1080/23311975.2021.1980248
Nuralam, I., Yulianto, E., & Kusdibyo, L. (2024). Perceived ease of use, perceived usefulness, and customer satisfaction as driving factors on repurchase intention: The perspective of the e-commerce market in Indonesia. International Journal of Data and Network Science, 8(1), 45–54. https://doi.org/10.5267/j.ijdns.2023.9.005
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of Marketing Research, 17(4), 460–469. https://doi.org/10.1177/002224378001700406
Oliver, R. L. (2014). Satisfaction: A behavioral perspective on the consumer (2nd ed.). Routledge. https://doi.org/10.4324/9781315700892
Pradana, M. R. A., Parela, E., Putra, N. P., & Junaidi. (2024). Dampak transformasi digital pada kinerja UMKM di Indonesia. Jurnal Relevansi: Ekonomi, Manajemen dan Bisnis, 8(1), 25–29. https://doi.org/10.61401/relevansi.v8i1.112
Pusat Data dan Sistem Informasi Kementerian Perdagangan Republik Indonesia. (2024). Statistik e-commerce Indonesia 2020–2025. Retrieved June 27, 2025, from https://pdsi.kemendag.go.id
Ruangkanjanases, A., Chen, C. L., & Kittikowit, D. (2024). Modeling the consumers’ flow experience in e-commerce: The integration of ECM and TAM with the antecedents of flow experience. Journal of Retailing and Consumer Services, 76, 103510. https://doi.org/10.1016/j.jretconser.2023.103510
Sharma, S., & Nayak, J. K. (2022). Outdoor apparel market growth in Asia-Pacific: Urbanisation, lifestyle changes, and consumer motivations. Journal of Retailing and Consumer Services, 66, 102941. https://doi.org/10.1016/j.jretconser.2022.102941
Shen, G., Li, X., & Yang, S. (2022). Improving consumer stickiness in livestream e-commerce: A mixed-methods study. Electronic Commerce Research and Applications, 53, 101118. https://doi.org/10.1016/j.elerap.2022.101118
Silviawati, S. (2025). Peran e-commerce dalam transformasi digital UMKM di Indonesia. Jurnal Riset Informatika dan Manajemen Ekonomi, 3(1), 45–58. https://jurnal.itbsemarang.ac.id/index.php/JRIME/article/download/3551
Song, S., & Jo, M. (2023). Understanding the continuance intention of omnichannel: Combining TAM and TPB. Journal of Retailing and Consumer Services, 72, 103212. https://doi.org/10.1016/j.jretconser.2023.103212
Tang, H., & Yang, X. (2025). Value in use and sustaining use intention on e-commerce platforms: The service-dominant logic perspective. Journal of Business Research, 173, 114289. https://doi.org/10.1016/j.jbusres.2024.114289
Tang, K.-L., Tan, P. M., Hooi, R., Low, M. P., Tan, K. E., & Yeo, K. C. (2024). Predicting continuance intention and use of mobile shopping apps with PLS-SEM and necessary condition analysis in tandem. Journal of Applied Structural Equation Modeling, 8(1), 1–27. https://doi.org/10.47263/JASEM.8(1)02
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926
Wang, Y., & Ooi, K. B. (2024). The mediating role of trust in understanding factors influencing Chinese consumers’ continuous intention to use social commerce. Information & Management, 61(4), 103852. https://doi.org/10.1016/j.im.2023.103852
Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and product understanding. Journal of Business Research, 117, 543–556. https://doi.org/10.1016/j.jbusres.2020.06.025
Xinh, P. T., Phuong, N. N., & Hoang, T. T. (2022). Understanding mobile shopping consumers’ continuance intention during the COVID-19 epidemic. Heliyon, 8(6), e09542. https://doi.org/10.1016/j.heliyon.2022.e09542
Xu, X., Wu, J., & Li, Q. (2022). Experience-based commerce in live streaming shopping: Effects on engagement and decision-making. Internet Research, 32(7), 2409–2434. https://doi.org/10.1108/INTR-06-2021-0325
Yi, H., Lin, Z., & Zhang, K. (2024). Understanding the self-perceived customer experience and repurchase intention in live streaming shopping: Evidence from China. Journal of Retailing and Consumer Services, 75, 103455. https://doi.org/10.1016/j.jretconser.2023.103455
Yo, C. S., Teoh, H. C., & Kew, S. N. (2021). The influencing factors of customer satisfaction: A case study of Shopee in Malaysia. Journal of Asian Finance, Economics and Business, 8(4), 497–507. https://doi.org/10.13106/jafeb.2021.vol8.no4.0497
Zhang, M., Qin, F., & Wang, G. (2023). How real-time interaction in live streaming boosts consumer engagement and sales. Computers in Human Behavior, 141, 107636. https://doi.org/10.1016/j.chb.2022.107636
Zhou, S., Jin, X., & Fang, Y. (2023). The role of confirmation and trust in live commerce adoption: Evidence from online consumer behavior. Journal of Retailing and Consumer Services, 72, 103201. https://doi.org/10.1016/j.jretconser.2023.103201
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