Unlocking the Key Factors Driving Chengdu Undergraduates to Stay Engaged with Knowledge Payment Platforms
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Abstract
Purpose: This quantitative study examined undergraduate students continued use intention in a university in Chengdu and its significant influencing factors for a knowledge payment platform. The researchers evaluated system quality, information quality, service quality, utilitarian value, hedonic value, and user satisfaction to determine whether and how these determinants affect the continued use intention of the target undergraduates. Research design, data, and methodology: The researcher administered a quantitative survey among the target university's undergraduate population. Using statistical exploratory techniques, 500 valid responses were assessed. The quota sampling technique was applied in this survey. Structural equation modeling (SEM) and confirmatory factor analysis (CFA) were utilized to assess the causal link between the elements under consideration. Results: The statistical evaluation demonstrated that all hypotheses were supported, with social influence generating the greatest direct effect on behavioral intention. Conclusions: The goals of the investigation were met since each hypothesis was confirmed. It is advised that to increase college students' contentment and intention to continue using the platform, each knowledge payment platform examines its current state and incorporates the research findings.
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References
Aldholay, A., Ahmed, A., & Alalwan, A. (2018). The impact of social media on consumer purchase intentions in the context of the online retail market. International Journal of Information Management, 39, 130-137.
https://doi.org/10.1016/j.ijinfomgt.2017.12.006
Alzahrani, A., Ameen, N., & Alsaad, H. (2019). The impact of digital marketing on consumer behavior in Saudi Arabia. International Journal of Marketing Studies, 11(2), 67-84.
Babin, B. J., Darden, W. R., & Griffin, M. (2005). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 32(4), 644-656. https://doi.org/10.1086/497549
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. https://doi.org/10.1007/BF02723327
Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588-606. https://doi.org/10.1037/0033-2909.88.3.588
Bitner, M. J., Booms, B. H., & Mohr, L. A. (1990). Critical service encounters: The employee's viewpoint. Journal of Marketing, 54(4), 95-106. https://doi.org/10.1177/002224299005400407
Byrne, B. M. (2016). Structural equation modeling with AMOS: Basic concepts, applications, and programming (3rd ed.). Routledge.
Chahal, H., & Mehta, S. (2013). The influence of service quality on customer satisfaction and loyalty in the context of online shopping. Journal of Marketing and Management, 1(2), 85-102.
Chang, S. C., Li, C. Y., & Wu, C. H. (2015). Exploring the impact of information technology adoption on hospital performance. Journal of Healthcare Management, 60(2), 132-146. https://doi.org/10.1097/00115514-201503000-00009
Chen, J. V., & Lin, C. (2015). The effect of perceived value on users’ continuance intention: A study of online group-buying websites. Internet Research, 25(2), 328-351. https://doi.org/10.1108/IntR-12-2013-0270
Cheng, Y. (2019). Understanding the continuance intention of mobile payment users: The role of perceived value and satisfaction. Journal of Asia Business Studies, 13(2), 215-232. https://doi.org/10.1108/JABS-01-2018-0022
Chiu, C. M., Hsu, M. H., & Wang, E. T. G. (2015). Understanding customers' continuance intention towards online shopping: An integration of the expectation-confirmation model and the theory of planned behavior. Behavior & Information Technology, 34(6), 585-599. https://doi.org/10.1080/01449290801892492
Chiu, P., Chao, I., Kao, C., Pu, Y., & Huang, Y. (2016). Implementation and evaluation of mobile e-books in a cloud bookcase using the information system success model. Library Hi Tech, 34(2), 207-223. https://doi.org/10.1108/lht-12-2015-0113
Daradkeh, M., Gawanmeh, A., & Mansoor, W. (2022). Information adoption patterns and online knowledge payment behavior: The moderating role of product type. Information, 13(9), 414-414. https://doi.org/10.3390/info13090414
DeLone, W. H., & McLean, E. R. (2003). The Delone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11663783
Elsotouhy, M., Mobarak, A. M. A., Dakrory, M. I., Ghonim, M. A., & Khashan, M. A. (2023). Integrating ISS and SOR models to investigate the determinants of continuance intention toward using m-payment for donations (Sadaqah): The moderating role of Islamic religiosity. International Journal of Bank Marketing, 2(3), 1-10. https://doi.org/10.1108/ijbm-11-2022-0498
Eroglu, S., Machleit, K. A., & Davis, L. M. (2005). Shopping environment and consumer emotions: A multi-dimensional approach. Journal of Business Research, 58(5), 583-591. https://doi.org/10.1016/j.jbusres.2003.08.007
Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (2010). Multivariate data analysis (6th ed.). Prentice Hall.
Hong, S. J., Thong, J. Y. L., & Tam, K. Y. (2008). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision Support Systems, 45(3), 366-378.
https://doi.org/10.1016/j.dss.2008.03.002
Hsiao, K., Lin, K., Wang, Y., Lee, C., & Zhang, Z. (2019). Continued use intention of lifestyle mobile applications: The Starbucks app in Taiwan. The Electronic Library, 37(5), 893-913. https://doi.org/10.1108/el-03-2019-0085
Hsu, C. L., & Chen, M. C. (2018). The effects of perceived value, satisfaction, and trust on continuous usage intention in social commerce. Journal of Business Research, 87, 283-292.
Hsu, C. L., & Lin, J. C. C. (2016). An empirical examination of the factors influencing the continuance intention to use mobile apps. International Journal of Information Management, 36(1), 145-155. https://doi.org/10.1016/j.ijinfomgt.2015.10.007
Jin, H., & Xu, M. (2020). Investigating the determinants of users' continuance intention towards mobile apps: A study based on the extended expectation-confirmation model. Journal of Retailing and Consumer Services, 54, 102023.
https://doi.org/10.1016/j.jretconser.2019.102023
Karjaluoto, H., Koivumäki, T., & Lehtinen, U. (2018). The impact of mobile payment on consumer behavior: A study of the Finnish market. Journal of Financial Services Marketing, 23(2), 86-96. https://doi.org/10.1057/s41264-018-0033-0
Kim, H. B., Lee, M. J., & Kim, S. B. (2007). The influence of service quality on customer satisfaction and repurchase intention in the context of mobile telecommunication services. Journal of Services Marketing, 21(6), 407-416.
https://doi.org/10.1108/08876040710830970
Kotler, P., Kartajaya, H., & Setiawan, I. (2014). Marketing 3.0: From products to customers to the human spirit (1st ed.). Wiley.
Kumar, A., & Shah, D. (2021). Continuance intention to use online learning platforms: An empirical study of users’ perspective. Journal of Educational Technology & Society, 24(1), 1-15.
Li, X., Zhang, T., & Yang, S. (2022). The impact of hedonic value on consumer behavior in the context of online shopping: Evidence from China. Journal of Retailing and Consumer Services, 64, 102782. https://doi.org/10.1016/j.jretconser.2021.102782
Lin, K. J., Wang, Y. S., & Hsu, H. S. (2017). Why do people switch mobile platforms? The moderating role of habit. Internet Research, 27(5), 1170-1189. https://doi.org/10.1108/intr-04-2016-0087
Lu, H. P. (2014). Determinants of continuance intention to use online travel agencies: An empirical study in Taiwan. International Journal of Information Management, 34(5), 577-587. https://doi.org/10.1016/j.ijinfomgt.2014.04.005
Mamary, E., Shih, C., & Henry, S. (2014). Factors influencing the success of academic health sciences libraries: A comparison of data from public and private institutions. Journal of Academic Librarianship, 40(4), 365-372.
https://doi.org/10.1016/j.acalib.2014.06.008
Ofori, K. M., Choi, Y. S., & Lee, J. H. (2017). Factors affecting mobile payment adoption in Ghana: A mixed-methods study. International Journal of Information Management, 37(5), 416-426. https://doi.org/10.1016/j.ijinfomgt.2017.03.002
Okazaki, S., de Vries, K. M., & Van den Berg, E. M. A. B. (2020). Understanding the role of continuous use intention in the context of online services: A study on mobile banking. Journal of Interactive Marketing, 50, 67-84. https://doi.org/10.1016/j.intmar.2020.04.002
Overby, J. W., & Lee, E. J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59(10-11), 1160-1166. https://doi.org/10.1016/j.jbusres.2006.04.016
Ozturk, A. B., Kozak, N., & Kizir, A. (2016). The impact of hedonic value on user satisfaction and usage intention of mobile booking applications. International Journal of Mobile Communications, 14(4), 350-369. https://doi.org/10.1504/IJMC.2016.077917
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 49(4), 41-50. https://doi.org/10.1177/002224298504900403
Pedroso, M. M., Rodrigues, A. A., & Siqueira, T. M. (2016). Exploring the role of e-service quality in the satisfaction and loyalty of online shoppers. Journal of Retailing and Consumer Services, 31, 10-19. https://doi.org/10.1016/j.jretconser.2016.03.003
Petter, S., DeLone, W., & McLean, E. R. (2008). Measuring information systems success: Models, dimensions, measures, and theory. Information & Management, 46(3), 159-166. https://doi.org/10.1016/j.im.2008.01.002
Rahi, S., & Rahi, S. (2018). The impact of external factors on user continuance intention: A literature review. Journal of Business Research, 86, 207-217. https://doi.org/10.1016/j.jbusres.2018.01.058
Raykov, T., & Grayson, D. (2010). Application of a New Approach to Testing for Measurement Invariance in the Context of Structural Equation Modeling. Structural Equation Modeling: A Multidisciplinary Journal, 17(4), 507-528.
Ryu, K., Lee, H. R., & Kim, W. G. (2010). The influence of the quality of service on the satisfaction and loyalty of customers in the restaurant industry. International Journal of Hospitality Management, 29(3), 520-529. https://doi.org/10.1016/j.ijhm.2009.10.001
Salim, S., Khan, M. M., & Ahmed, S. (2021). An exploration of factors influencing e-learning success in higher education: A case study of Pakistani universities. Education and Information Technologies, 26(5), 6337-6354.
Schmitt, N., & Stults, D. M. (1986). Factors defined by items with negligible loadings: A cautionary note. Personnel Psychology, 39(3), 717-725.
Setia, P., Cang, S., & Wark, T. (2013). Health-care data analytics: An overview of current developments and future trends. Journal of Health Management, 15(4), 339-357.
Sica, C., & Ghisi, M. (2007). The Italian versions of the Beck Anxiety Inventory and the Beck Depression Inventory-II: Psychometric properties and discriminant power. In M. A. Lange (Ed.), Leading-edge psychological tests and testing research (pp. 27-50). Nova Science Publishers.
Tan, Q. (2019). Research on the behavioral mechanism of knowledge paying users [Master's thesis, Hangzhou University of Electronic Science and Technology]. Hangzhou University of Electronic Science and Technology.
Tseng, M.-L., Wu, K.-J., Liu, S.-S., & Huang, C.-C. (2023). Exploring the impact of hedonic value and utilitarian value on purchase intentions in social commerce. Journal of Business Research, 159, 1-12. https://doi.org/10.1016/j.jbusres.2022.11.024
Wang, S. C., & Lin, C. P. (2011). The impact of service quality on customer satisfaction and loyalty in the service industry. Journal of Business Research, 64(7), 689-694. https://doi.org/10.1016/j.jbusres.2010.06.015
Wen, C. T., Wei, S. H., & Yoon, J. J. (2011). An empirical study of the effect of service quality on the satisfaction and behavioral intention of service users: A case study of the mobile services industry. Service Industries Journal, 31(1), 83-104.
https://doi.org/10.1080/02642060802091800
Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102. https://doi.org/10.1287/isre.1050.0042
Wu, C.-G., & Wu, P.-Y. (2017). Investigating the impact of customer experience on customer satisfaction and loyalty: A case study of mobile apps. International Journal of Information Management, 37(3), 284-295. https://doi.org/10.1016/j.ijinfomgt.2017.01.004
Xu, J., & Du, J. (2018). The effects of brand love and customer engagement on the continuation intention of mobile payment services. Journal of Consumer Behavior, 17(6), 509-520. https://doi.org/10.1002/cb.1724
Yang, H., & Lee, H. (2010). The influence of hedonic and utilitarian value on user satisfaction and loyalty. Journal of Business Research, 63(8), 808-814. https://doi.org/10.1016/j.jbusres.2009.01.013
Zhang, S., Wang, W., & Li, J. (2017). Research on factors influencing users’ online knowledge payment behavior. Library and Information Work, 1(10), 94-100.
Zhou, L. (2013). The influence of perceived value on customer satisfaction and loyalty in the mobile payment service. Journal of Service Research, 15(2), 110-125.