The Impact of Gamification on Gen Z’s Behavioral Intention through ECommerce Shopee: Does Reward Moderate the Relationship?
Keywords:
Gamification, Behavioral Intention, Generation Z, Technology Acceptance Model (TAM), RewardsAbstract
This study explores the impact of gamification on the behavioral intention of Generation Z users within the Indonesian Shopee e commerce platform, examining rewards as a moderating factor. Using the Technology Acceptance Model (TAM) framework, the research analyzes how perceived enjoyment, usefulness, ease of use, and social interaction influence users’ intentions to engage with gamified features. Data from 178 respondents were analyzed via Structural Equation Modeling (SEM) using SmartPLS. Findings indicate that gamification positively affects perceived enjoyment, usefulness, ease of use, and social interaction, enhancing behavioral intention. However, rewards as a moderating factor did not significantly impact these relationships. The study emphasizes gamification's role in boosting engagement on digital platforms among Generation Z consumers, though the role of rewards in moderating this effect may vary. This research contributes to understanding how gamified elements enhance user engagement and loyalty on e-commerce platforms.
References
Ayuni, R. F. (2019). The online shopping habits and E-loyalty of Gen Z as natives in the digital era. Journal of Indonesian Economy and Business, 34(2), 168–186. https://doi.org/10.22146/jieb.39848
Azmi, L. F., Ahmad, N., & Iahad, N. A. (2021). Gamification elements in E-commerce - a review. 2021 International Congress of Advanced Technology and Engineering, 1–5. https://doi.org/10.1109/ICOTEN52080.2021.9493475
Bittner, J. V., & Shipper, J. (2014). Motivational effects and age differences of gamification in product advertising. Journal of Consumer Marketing, 31(5), 391–400. https://doi.org/10.1108/JCM-04-2014-0945
Charness, N., & Boot, W. R. (2016). Technology, gaming, and social networking. Handbook of the Psychology of Aging, Eighth Edition, 3(5), 389–407. https://doi.org/10.1016/B978-0-12-411469-2.00020-0
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. Management Information Systems Research Center, 13(3), 319–340. https://doi.org/10.5962/bhl.title.33621
Davis, F. D., & Venkatesh, V. (1996). A critical assessment of potential measurement biases in the technology acceptance model: Three experiments. International Journal of Human Computer Studies, 45(1), 19–45. https://doi.org/10.1006/ijhc.1996.0040
Dimock, M. (2019). Where millennials end and generation Z begins. Pew Research Center.
Geng, R., Wang, S., Chen, X., Song, D., & Yu, J. (2020). Content marketing in E-commerce platforms in the internet celebrity economy. Industrial Management and Data Systems, 120(3),464–485. https://doi.org/10.1108/IMDS-05-2019-0270
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks.
Hamid, M., & Kuppusamy, M. (2017). Gamification implementation in service marketing: A literature review. Electronic Journal of Business & Management, 2(1), 38–50. http://enterprise-gamification.com
Hanafizadeh, P., Behboudi, M., Koshksaray, A. A., & Tabar, M. J. S. (2014). Mobile-banking adoption by Iranian bank clients. Telematics and Informatics, 31(1), 62–78. https://doi.org/10.1016/j.tele.2012.11.001
Koivisto, J., & Hamari, J. (2014). Demographic differences in perceived benefits from gamification. Computers in Human Behavior, 35, 179–188. https://doi.org/10.1016/j.chb.2014.03.007
Lu, H. P., & Lee, M. R. (2010). Demographic differences and the antecedents of blog stickiness. Online Information Review, 34(1), 21–38. https://doi.org/10.1108/14684521011024100
Memon, M., Ting, H., Cheah, J. H., Thurasamy, R., Chuah, F., & Cham, T. H. (2020). Sample size for survey research: Review and recommendations. Journal of Applied Structural Equation Modeling, 4(2), 2590–4221.
Mustikasari, A. (2022). The influence of gamification and rewards on customer loyalty in Z generation with moderating role of gender (case study on the shopee marketplace). Management Analysis Journal, 1, 174–181. http://maj.unnes.ac.id
Oliver. R. L. (1997). Satisfaction: A behavioral perspective on the customer. New York: Routledge.
Raman, P. (2020). Examining the importance of gamification, social interaction and perceived enjoyment among young female online buyers in India. Young Consumers, 22(3), 387–412. https://doi.org/10.1108/YC-05-2020-1148
Rodrigues, L. F., Oliveira, A., & Costa, C. J. (2016). Does ease-of-use contributes to the perception of enjoyment? A case of gamification in E-banking. Computers in Human Behavior, 61, 114–126. https://doi.org/10.1016/j.chb.2016.03.015
Saprikis, V., Markos, A., Zarmpou, T., & Vlachopoulou, M. (2018). Mobile shopping consumers’ behavior: An exploratory study and review. Journal of Theoretical and Applied Electronic Commerce Research, 13(1),71–90. https://doi.org/10.4067/S0718-18762018000100105
Sekaran, U., & Bougie, R. (2016). Research methods for business. Wiley.
Snipp. (2017). Shopper marketing tech: 2017 game changers. Snipp.
Sujarwo, J. E. A., & Matruty, E. S. H. R. (2021). The effect of product promotion and innovation on purchase decisions at prices as intervening variables. International Journal of Social Science and Business, 5(2), 200–206. https://doi.org/10.23887/ijssb.v5i2.33646
Sundjaja, A. M., Savina, G., Yuli, Y., & Hardianto, T. (2022). The moderating effect of gamification on loyalty program usage in Indonesian E-commerce. Binus Business Review, 13(1), 19–29. https://doi.org/10.21512/bbr.v13i1.6801
Susilo, C. L. (2022). The effect of gamification towards repurchase intention in E-Commerce platform with technology advancement model (TAM) as a moderating variable. Jurnal Ilmiah Manajemen Bisnis dan Inovasi Universitas Sam Ratulangi, 9(2), 689–702. https://datareportal.com/reports/digital-2021-indonesia
Taiminen, H. M., & Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4), 633–651. https://doi.org/10.1108/JSBED-05-2013-0073
Tan, G. W. H., Ooi, K. B., Leong, L. Y., & Lin, B. (2014). Predicting the drivers of behavioral intention to use mobile learning: A hybrid SEM-Neural networks approach. Computers in Human Behavior, 36, 198–213. https://doi.org/10.1016/j.chb.2014.03.052
Wei, Y., & Atuahene-Gima, K. (2009). The moderating role of reward systems in the relationship between market orientation and new product performance in China. International Journal of Research in Marketing, 26(2), 89–96. https://doi.org/10.1016/j.ijresmar.2008.11.001
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