The Impact of Professionality, Credibility, and Ease of Use on Repurchase Intentions via E-Satisfaction Among Gen Z in TikTok Shop
DOI:
https://doi.org/10.37385/ijedr.v6i1.6770Keywords:
Professionality, Credibility, Ease of Use, Security, Customer Satisfaction, Repurchase IntentionAbstract
This study aims to analyse the impact of professionality, credibility, ease of use, and security on repurchase intention in TikTok Shop, mediated by customer satisfaction among Generation Z. The research employs a quantitative approach with data collection through online questionnaires distributed to 390 respondents who are active users of TikTok Shop. The findings show that professionality, credibility, ease of use, and security have a positive influence on repurchase intention, both directly and through mediation by customer satisfaction. These results provide valuable insights for TikTok Shop managers to enhance the shopping experience and encourage repurchase intention among consumers.
References
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Driediger, F., & Bhatiasevi, V. (2019). Online grocery shopping in Thailand: Consumer acceptance and usage behavior. Journal of Retailing and Consumer Services, 48, 224–237. https://doi.org/10.1016/j.jretconser.2019.02.005
Elbeltagi, I., & Agag, G. (2016). E-retailing ethics and its impact on customer satisfaction and repurchase intention: A cultural and commitment-trust theory perspective. Internet Research, 26(1), 288–310. https://doi.org/10.1108/IntR-10-2014-0244
Fang, Y.-H. (2014). Beyond the Credibility of Electronic Word of Mouth: Exploring eWOM Adoption on Social Networking Sites from Affective and Curiosity Perspectives. International Journal of Electronic Commerce, 18(3), 67–102. https://doi.org/10.2753/JEC1086-4415180303
Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Gefen, Karahanna, & Straub. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51. https://doi.org/10.2307/30036519
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
Hellier, P. K., Geursen, G. M., Carr, R. A., & Rickard, J. A. (2003). Customer repurchase intention: A general structural equation model. European Journal of Marketing, 37(11/12), 1762–1800. https://doi.org/10.1108/03090560310495456
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
Huang, Z., & Benyoucef, M. (2017). The effects of social commerce design on consumer purchase decision-making: An empirical study. Electronic Commerce Research and Applications, 25, 40–58. https://doi.org/10.1016/j.elerap.2017.08.003
Kalakota, R., & Whinston, A. (1997). Electronic Commerce: A Manager’s Guide. https://api.semanticscholar.org/CorpusID:166767885
Kim, H.-R. (2005). Developing an index of online customer satisfaction. Journal of Financial Services Marketing, 10.
Kim, M. J., Lee, C.-K., & Jung, T. (2020). Exploring Consumer Behavior in Virtual Reality Tourism Using an Extended Stimulus-Organism-Response Model. Journal of Travel Research, 59(1), 69–89. https://doi.org/10.1177/0047287518818915
Kim, M.-J., Chung, N., & Lee, C.-K. (2011). The effect of perceived trust on electronic commerce: Shopping online for tourism products and services in South Korea. Tourism Management, 32(2), 256–265. https://doi.org/10.1016/j.tourman.2010.01.011
Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling, Fourth Edition. Guilford Publications.
Kotler, P., & Armstrong, G. (2018). Principles of marketing (17th [edition]). Pearson Higher Education.
Lee, M. K. O., & Turban, E. (2001). A Trust Model for Consumer Internet Shopping. International Journal of Electronic Commerce, 6(1), 75–91. https://doi.org/10.1080/10864415.2001.11044227
Liu, F. (2020). The Impact of Network Celebrities’ Information Source Characteristics on Purchase Intention. Chinese Journal of Management, 17(1), 94.
Luo, H., Cheng, S., Zhou, W., Yu, S., & Lin, X. (2021). A Study on the Impact of Linguistic Persuasive Styles on the Sales Volume of Live Streaming Products in Social E-Commerce Environment. Mathematics, 9(13), 1576. https://doi.org/10.3390/math9131576
Matute, J., Polo-Redondo, Y., & Utrillas, A. (2016). The influence of EWOM characteristics on online repurchase intention: Mediating roles of trust and perceived usefulness. Online Information Review, 40(7), 1090–1110. https://doi.org/10.1108/OIR-11-2015-0373
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. (pp. xii, 266). The MIT Press.
Meng, Z., & Lin, M. (2023). The Driving Factors Analysis of Live Streamers’ Characteristics and Perceived Value for Consumer Repurchase Intention on Live Streaming Platforms: Journal of Organizational and End User Computing, 35(1), 1–24. https://doi.org/10.4018/JOEUC.323187
Meyer, C., & Schwager, A. (2007). Understanding customer experience. Harvard Business Review, 85 2, 116–126, 157.
Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891. https://doi.org/10.3758/BRM.40.3.879
Rita, P., Oliveira, T., & Farisa, A. (2019). The impact of e-service quality and customer satisfaction on customer behavior in online shopping. Heliyon, 5(10), e02690. https://doi.org/10.1016/j.heliyon.2019.e02690
Sekaran, U., & Bougie, R. (2016). Research Methods For Business: A Skill Building Approach. Wiley.
Trivedi, S. K., & Yadav, M. (2020). Repurchase intentions in Y generation: Mediation of trust and e-satisfaction. Marketing Intelligence & Planning, 38(4), 401–415. https://doi.org/10.1108/MIP-02-2019-0072
Zhang, Y., Fang, Y., Wei, K.-K., Ramsey, E., McCole, P., & Chen, H. (2011). Repurchase intention in B2C e-commerce—A relationship quality perspective. Information & Management, 48(6), 192–200. https://doi.org/10.1016/j.im.2011.05.003
Zhao, K., University of Houston, USA, Hu, Y., University of Illinois, USA, Hong, Y., University of Houston, USA, Westland, J. C., & University of Illinois, USA. (2021). Understanding Characteristics of Popular Streamers on Live Streaming Platforms: Evidence from Twitch.tv. Journal of the Association for Information Systems, 22(4), 1076–1098. https://doi.org/10.17705/1jais.00689
Zhu, B., Kowatthanakul, S., & Satanasavapak, P. (2019). Generation Y consumer online repurchase intention in Bangkok: Based on Stimulus-Organism-Response (SOR) model. International Journal of Retail & Distribution Management, 48(1), 53–69. https://doi.org/10.1108/IJRDM-04-2018-0071