The relationship between social influence, perceived usefulness, and perceived ease of use on Tokopedia's continued use intention by Gen Z in Surabaya
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Published:
May 30, 2025
Keywords:
Digital Shopping, Online Shoping Behavior, Perceived Ease of Use, Perceived Usefulness, Social Influence
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Economy
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Abstract
A This study aims to examine the influence of Social Influence, Perceived Usefulness, and Perceived Ease of Use on the Continued Use Intention of Generation Z on the Tokopedia platform in Surabaya, using the Technology Acceptance Model (TAM) framework. As a technology-savvy generation, Gen Z often engages with e-commerce platforms such as Tokopedia to shop and fulfill their daily needs. This study applies TAM to explore how Social Influence, together with Perceived Usefulness and Perceived Ease of Use, influence Gen Z's decision to continue using Tokopedia sustainably. Understanding these factors is essential to assess what makes Gen Z decide to continue using Tokopedia in Surabaya. The population in this study is Gen Z (born between 1997-2012) in Surabaya who use the Tokopedia e-commerce platform to carry out online shopping activities. Samples will be taken from 119 respondents based on G*Power calculations. This study uses a quantitative method with data collection through an online questionnaire assisted by an online platform distributed to Gen Z Tokopedia users in Surabaya. Regression analysis was used to evaluate the influence of social influence, Perceived Usefulness, and Perceived Ease of Use on the use of sustainability in Tokopedia
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Povannes, T. A. . and Immanuel Kairupan, D. J. . (2025) “The relationship between social influence, perceived usefulness, and perceived ease of use on Tokopedia’s continued use intention by Gen Z in Surabaya”, Jurnal Mantik, 9(1), pp. 226-235. doi: 10.35335/mantik.v8i5.6224.
References
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Delgado Ab, K., Rose, M., Valsado, C. J., & Ebardo, R. (2024). Zooming In on Educator Well-Being: Exploring Behavior Attributes, Zoom Fatigue, and Burnout Dynamics.
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Diwan. (2024). Impact of E-commerce on Small and Medium Enterprises: A Case Study of Developing Countries. Universal Research Reports, 11(4), 112–116. https://doi.org/10.36676/urr.v11.i4.1317
Gading, S. (2024, August Wednesday). Eks Menteri Jokowi Sebut Bekasi Jadi Kota Terbesar Nomor 2 di RI. Retrieved from detikFinance: https://finance.detik.com/infrastruktur/d-7489748/eks-menteri-jokowi-sebut-bekasi-jadi-kota-terbesar-nomor-2-di-ri
Gultom, D., Stefanus, G., Hutabarat, P., Dirgantara, M., Pratama, R., & Hidayah, A. (2024). DAMPAK POSITIF DIGITALISASI TERHADAP PEREKONOMIAN INDONESIA. In Jurnal Konstanta: Ekonomi Pembangunan (Vol. 3, Issue 1).
Gunawan, A., Fatikasari, A. F., & Putri, S. A. (2023). The Effect of Using Cashless (QRIS) on Daily Payment Transactions Using the Technology Acceptance Model. Procedia Computer Science, 227, 548–556. https://doi.org/10.1016/j.procs.2023.10.557
Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use “PLS-SEM or CB-SEM: updated guidelines on which method to use.” In Organizational Research Methods, MIS Quarterly, and International Journal (Vol. 1, Issue 2).
IDN Research Institute. (2022). INDONESIA GEN-Z REPORT 2022.
IDN Research Institute. (2024). INDONESIA GEN Z REPORT 2024.
Ivenz, P., & Polakova, P. (2024). Gen Z Students and Their Perceptions of Technology in the Process of Second Language Acquisition Based on the Language Proficiency Level. Arab World English Journal, 15(3), 3–17. https://doi.org/10.24093/awej/vol15no3.1
Jayatissa, K. A. D. U. (2023). Generation Z – A New Lifeline: A Systematic Literature Review. Sri Lanka Journal of Social Sciences and Humanities, 3(2), 179–186. https://doi.org/10.4038/sljssh.v3i2.110
Jonsson, E. N., & Nyberg, J. (2022). A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses. CPT: Pharmacometrics and Systems Pharmacology, 11(6), 673–686. https://doi.org/10.1002/psp4.12790
Kang, H. (2021). Sample size determination and power analysis using the G*Power software. In Journal of Educational Evaluation for Health Professions (Vol. 18). Korea Health Personnel Licensing Examination Institute. https://doi.org/10.3352/JEEHP.2021.18.17
Keni, K. (2020). How Perceived Usefulness and Perceived Ease of Use Affecting Intent to Repurchase? Jurnal Manajemen, 24(3), 481. https://doi.org/10.24912/jm.v24i3.680
Koivisto, J., & Hamari, J. (2014a). Demographic differences in perceived benefits from gamification. Computers in Human Behavior, 35, 179–188. https://doi.org/10.1016/j.chb.2014.03.007
Koivisto, J., & Hamari, J. (2014b). Demographic differences in perceived benefits from gamification. Computers in Human Behavior, 35, 179–188. https://doi.org/10.1016/j.chb.2014.03.007
Kumar, A., Haldar, P., & Chaturvedi, S. (2024). Factors influencing intention to continue use of e-wallet: mediating role of perceived usefulness. Vilakshan - XIMB Journal of Management. https://doi.org/10.1108/xjm-12-2023-0243
Kwak, S. (2023). Are Only p-Values Less Than 0.05 Significant? A p-Value Greater Than 0.05 Is Also Significant! Journal of Lipid and Atherosclerosis, 12(2), 89–95. https://doi.org/10.12997/jla.2023.12.2.89
Li, X., & Lin, H. (2022). Using the Extended Acceptance Model to Understand Continuance Intention of Dockless Bike-Sharing. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.786693
Mohamad, Z. B., Kamarozaman, Z. B., Kassim, M. F. R. B., & Razak, F. Z. A. (2021). Does social influence affect continuance intention to use e-campus? A Study in Malaysian private higher institution. Journal of Physics: Conference Series, 1793(1). https://doi.org/10.1088/1742-6596/1793/1/012008
Mugo, D., Njagi, K., Chemwei, B., & Motanya, J. (2017). The Technology Acceptance Model (TAM) and its Application to the Utilization of Mobile Learning Technologies. British Journal of Mathematics & Computer Science, 20(4), 1–8. https://doi.org/10.9734/bjmcs/2017/29015
Nida, S., Nurhakim, A., Noor Isiqamah, J. M., & Nuraini. (2024). ANALISIS PERKEMBANGAN TOKO ONLINE (E-COMMERCE) DI INDONESIA. Jurnal Bisnis Digital (J-BisDig), 2(1), 126–137. https://doi.org/10.52060/j-bisdig.v2i1.2180
Nwosu, K. C., & Ike-Elechi, O. (2023). Factors Influencing Continuous Intention to Use Mobile Payment Platforms in Southeast, Nigeria. European Journal of Business and Innovation Research, 11(8), 43–75. https://doi.org/10.37745/ejbir.2013/vol11n84375
Prasanna, M., & Priyanka, A. L. (2024). Marketing to Gen Z: Understanding the Preferences and Behaviors of Next Generation. www.ijfmr.com
Puthiyamadam, T. (2018). PwC. Retrieved from PwC: https://www.pwc.com/us/en/services/consulting/library/consumer-intelligence-series/future-of-customer-experience.html
Radyi, S. A. M., Ridzwan, R., Mohamad, N. M., & Abdul Rahman, M. A. (2024). Influences on Generation Z’s Purchasing Decision-Making on E-Commerce Platforms: Beyond Products and Website Design. International Journal of Academic Research in Business and Social Sciences, 14(12). https://doi.org/10.6007/IJARBSS/v14-i12/24203
Rahayu, L., & Syam, N. (2021). Digitalisasi Aktivitas Jual Beli di Masyarakat: Perspektif Teori Perubahan Sosial.
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011
Rithmaya, C. L., Ardianto, H., & Sistiyarini, E. (2024). GEN Z AND THE FUTURE OF BANKING: AN ANALYSIS OF DIGITAL BANKING ADOPTION. Jurnal Manajemen Dan Kewirausahaan, 26(1), 64–78. https://doi.org/10.9744/jmk.26.1.64-78
Setyawati, C. Y., & Polar, D. C. (2022). PENGARUH PERCEIVED USEFULNESS TERHADAP BEHAVIOR INTENTION TO USE E-WALLET GOPAY MELALUI MEDIASI ATTITUDE TOWARD USING DI KOTA TERNATE. http://jurnal.stie-aas.ac.id/index.php/jap
Sharma, S. (2023). Revving Up Growth: A Study of the Positive Impact of e-Commerce Adoption by SMEs. Scholedge International Journal of Business Policy & Governance ISSN 2394-3351, 10(1), 1. https://doi.org/10.19085/sijbpg100101
Smith, J. R., Louis, W. R., & Schultz, P. W. (2011). Introduction: Social influence in action. In Group Processes and Intergroup Relations (Vol. 14, Issue 5, pp. 599–603). https://doi.org/10.1177/1368430211410214
Velagapudi Mani Krishna, & Rajeev Sharma. (2024). Insights on Generation-Z Consumer Behavior in E-Commerce: A Bibliometric Analysis. Journal of Informatics Education and Research, 4(3). https://doi.org/10.52783/jier.v4i3.1906
Wijenayake, S., Berkel, N. van, Kostakos, V., & Goncalves, J. (2022). Quantifying determinants of social conformity in an online debating website. International Journal of Human Computer Studies, 158. https://doi.org/10.1016/j.ijhcs.2021.102743
Xiang, G., Chen, Q., & Li, Q. (2022). How attachment affects users’ continued use intention of tourism mobile platform: A user experience perspective. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.995384
Zheng, R., Ospina-Forero, L., & Chen, Y. (2024). Implications of social network structures on socially influenced decision-making. DECISION, 51(1), 85–103. https://doi.org/10.1007/s40622-024-00380-5
Zhu, Y., Wei, Y., Zhou, Z., & Jiang, H. (2022). Consumers’ Continuous Use Intention of O2O E?Commerce Platform on Community: A Value Co?Creation Perspective. Sustainability (Switzerland), 14(3). https://doi.org/10.3390/su14031666
Alfie Faj, F., Amsal Sahban, M., Saragih, H., & Jeaneth Cyntia Kojongian, P. (2024). Digital Economy and Business Transformation in Indonesia: An Exploration of Opportunities and Challenges. https://doi.org/10.62872/jagdc251
Badan Pusat Statistik. (2024). INDEKS PEMBANGUNAN TEKNOLOGI INFORMASI DAN KOMUNIKASI 2023.
Chahal, J., & Rani, N. (2022). Exploring the acceptance for e-learning among higher education students in India: combining technology acceptance model with external variables. Journal of Computing in Higher Education, 34(3), 844–867. https://doi.org/10.1007/s12528-022-09327-0
Delgado Ab, K., Rose, M., Valsado, C. J., & Ebardo, R. (2024). Zooming In on Educator Well-Being: Exploring Behavior Attributes, Zoom Fatigue, and Burnout Dynamics.
Depari, B. (2022, January). Kompas.com. Retrieved from Kompas.com: https://jeo.kompas.com/shopee-atau-tokopedia-mana-yang-juara-di-hati-gen-z#:~:text=Survei%20yang%20digelar%20We%20Are,Indonesia%20mengakses%20aplikasi%20belanja%20online
Diwan. (2024). Impact of E-commerce on Small and Medium Enterprises: A Case Study of Developing Countries. Universal Research Reports, 11(4), 112–116. https://doi.org/10.36676/urr.v11.i4.1317
Gading, S. (2024, August Wednesday). Eks Menteri Jokowi Sebut Bekasi Jadi Kota Terbesar Nomor 2 di RI. Retrieved from detikFinance: https://finance.detik.com/infrastruktur/d-7489748/eks-menteri-jokowi-sebut-bekasi-jadi-kota-terbesar-nomor-2-di-ri
Gultom, D., Stefanus, G., Hutabarat, P., Dirgantara, M., Pratama, R., & Hidayah, A. (2024). DAMPAK POSITIF DIGITALISASI TERHADAP PEREKONOMIAN INDONESIA. In Jurnal Konstanta: Ekonomi Pembangunan (Vol. 3, Issue 1).
Gunawan, A., Fatikasari, A. F., & Putri, S. A. (2023). The Effect of Using Cashless (QRIS) on Daily Payment Transactions Using the Technology Acceptance Model. Procedia Computer Science, 227, 548–556. https://doi.org/10.1016/j.procs.2023.10.557
Hair, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use “PLS-SEM or CB-SEM: updated guidelines on which method to use.” In Organizational Research Methods, MIS Quarterly, and International Journal (Vol. 1, Issue 2).
IDN Research Institute. (2022). INDONESIA GEN-Z REPORT 2022.
IDN Research Institute. (2024). INDONESIA GEN Z REPORT 2024.
Ivenz, P., & Polakova, P. (2024). Gen Z Students and Their Perceptions of Technology in the Process of Second Language Acquisition Based on the Language Proficiency Level. Arab World English Journal, 15(3), 3–17. https://doi.org/10.24093/awej/vol15no3.1
Jayatissa, K. A. D. U. (2023). Generation Z – A New Lifeline: A Systematic Literature Review. Sri Lanka Journal of Social Sciences and Humanities, 3(2), 179–186. https://doi.org/10.4038/sljssh.v3i2.110
Jonsson, E. N., & Nyberg, J. (2022). A quantitative approach to the choice of number of samples for percentile estimation in bootstrap and visual predictive check analyses. CPT: Pharmacometrics and Systems Pharmacology, 11(6), 673–686. https://doi.org/10.1002/psp4.12790
Kang, H. (2021). Sample size determination and power analysis using the G*Power software. In Journal of Educational Evaluation for Health Professions (Vol. 18). Korea Health Personnel Licensing Examination Institute. https://doi.org/10.3352/JEEHP.2021.18.17
Keni, K. (2020). How Perceived Usefulness and Perceived Ease of Use Affecting Intent to Repurchase? Jurnal Manajemen, 24(3), 481. https://doi.org/10.24912/jm.v24i3.680
Koivisto, J., & Hamari, J. (2014a). Demographic differences in perceived benefits from gamification. Computers in Human Behavior, 35, 179–188. https://doi.org/10.1016/j.chb.2014.03.007
Koivisto, J., & Hamari, J. (2014b). Demographic differences in perceived benefits from gamification. Computers in Human Behavior, 35, 179–188. https://doi.org/10.1016/j.chb.2014.03.007
Kumar, A., Haldar, P., & Chaturvedi, S. (2024). Factors influencing intention to continue use of e-wallet: mediating role of perceived usefulness. Vilakshan - XIMB Journal of Management. https://doi.org/10.1108/xjm-12-2023-0243
Kwak, S. (2023). Are Only p-Values Less Than 0.05 Significant? A p-Value Greater Than 0.05 Is Also Significant! Journal of Lipid and Atherosclerosis, 12(2), 89–95. https://doi.org/10.12997/jla.2023.12.2.89
Li, X., & Lin, H. (2022). Using the Extended Acceptance Model to Understand Continuance Intention of Dockless Bike-Sharing. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.786693
Mohamad, Z. B., Kamarozaman, Z. B., Kassim, M. F. R. B., & Razak, F. Z. A. (2021). Does social influence affect continuance intention to use e-campus? A Study in Malaysian private higher institution. Journal of Physics: Conference Series, 1793(1). https://doi.org/10.1088/1742-6596/1793/1/012008
Mugo, D., Njagi, K., Chemwei, B., & Motanya, J. (2017). The Technology Acceptance Model (TAM) and its Application to the Utilization of Mobile Learning Technologies. British Journal of Mathematics & Computer Science, 20(4), 1–8. https://doi.org/10.9734/bjmcs/2017/29015
Nida, S., Nurhakim, A., Noor Isiqamah, J. M., & Nuraini. (2024). ANALISIS PERKEMBANGAN TOKO ONLINE (E-COMMERCE) DI INDONESIA. Jurnal Bisnis Digital (J-BisDig), 2(1), 126–137. https://doi.org/10.52060/j-bisdig.v2i1.2180
Nwosu, K. C., & Ike-Elechi, O. (2023). Factors Influencing Continuous Intention to Use Mobile Payment Platforms in Southeast, Nigeria. European Journal of Business and Innovation Research, 11(8), 43–75. https://doi.org/10.37745/ejbir.2013/vol11n84375
Prasanna, M., & Priyanka, A. L. (2024). Marketing to Gen Z: Understanding the Preferences and Behaviors of Next Generation. www.ijfmr.com
Puthiyamadam, T. (2018). PwC. Retrieved from PwC: https://www.pwc.com/us/en/services/consulting/library/consumer-intelligence-series/future-of-customer-experience.html
Radyi, S. A. M., Ridzwan, R., Mohamad, N. M., & Abdul Rahman, M. A. (2024). Influences on Generation Z’s Purchasing Decision-Making on E-Commerce Platforms: Beyond Products and Website Design. International Journal of Academic Research in Business and Social Sciences, 14(12). https://doi.org/10.6007/IJARBSS/v14-i12/24203
Rahayu, L., & Syam, N. (2021). Digitalisasi Aktivitas Jual Beli di Masyarakat: Perspektif Teori Perubahan Sosial.
Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: An empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6–30. https://doi.org/10.1108/JEIM-04-2012-0011
Rithmaya, C. L., Ardianto, H., & Sistiyarini, E. (2024). GEN Z AND THE FUTURE OF BANKING: AN ANALYSIS OF DIGITAL BANKING ADOPTION. Jurnal Manajemen Dan Kewirausahaan, 26(1), 64–78. https://doi.org/10.9744/jmk.26.1.64-78
Setyawati, C. Y., & Polar, D. C. (2022). PENGARUH PERCEIVED USEFULNESS TERHADAP BEHAVIOR INTENTION TO USE E-WALLET GOPAY MELALUI MEDIASI ATTITUDE TOWARD USING DI KOTA TERNATE. http://jurnal.stie-aas.ac.id/index.php/jap
Sharma, S. (2023). Revving Up Growth: A Study of the Positive Impact of e-Commerce Adoption by SMEs. Scholedge International Journal of Business Policy & Governance ISSN 2394-3351, 10(1), 1. https://doi.org/10.19085/sijbpg100101
Smith, J. R., Louis, W. R., & Schultz, P. W. (2011). Introduction: Social influence in action. In Group Processes and Intergroup Relations (Vol. 14, Issue 5, pp. 599–603). https://doi.org/10.1177/1368430211410214
Velagapudi Mani Krishna, & Rajeev Sharma. (2024). Insights on Generation-Z Consumer Behavior in E-Commerce: A Bibliometric Analysis. Journal of Informatics Education and Research, 4(3). https://doi.org/10.52783/jier.v4i3.1906
Wijenayake, S., Berkel, N. van, Kostakos, V., & Goncalves, J. (2022). Quantifying determinants of social conformity in an online debating website. International Journal of Human Computer Studies, 158. https://doi.org/10.1016/j.ijhcs.2021.102743
Xiang, G., Chen, Q., & Li, Q. (2022). How attachment affects users’ continued use intention of tourism mobile platform: A user experience perspective. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.995384
Zheng, R., Ospina-Forero, L., & Chen, Y. (2024). Implications of social network structures on socially influenced decision-making. DECISION, 51(1), 85–103. https://doi.org/10.1007/s40622-024-00380-5
Zhu, Y., Wei, Y., Zhou, Z., & Jiang, H. (2022). Consumers’ Continuous Use Intention of O2O E?Commerce Platform on Community: A Value Co?Creation Perspective. Sustainability (Switzerland), 14(3). https://doi.org/10.3390/su14031666
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