Measuring Satisfaction and Purchase Intention of Art Major Students Towards Mobile Games: A Case of Public Universities in Chongqing, China

Jinghao Yang

doi:10.14456/shserj.2025.27

Authors

Jinghao Yang

DOI:

https://doi.org/10.14456/shserj.2025.27

CITATION

DOI: 10.14456/shserj.2025.27

Published: 2025-03-21

Keywords:

Mobile Games, Purchase Intention, Perceived Compatibility, Perceived Value, Satisfaction

Abstract

Purpose This study explores the factors impacting the purchase intention of mobile games for art major students in Public Universities in Chongqing, China. Research design, data, and methodology: The researcher employed a quantitative approach to collect sample data from the target population, utilizing a questionnaire. Before distributing the questionnaire, the Item-Objective Congruence and conducted a pilot test to ensure content validity and reliability were employed. To validate the model’s goodness of fit and confirm the causal relationship among variables for hypothesis testing, we analyzed the data using Confirmatory Factor Analysis and Structural Equation Modeling. Results: All six hypotheses in this study were consistent with the research objectives. Satisfaction and perceived value were the strongest predictors of purchase intention for mobile games. Perceived value is influenced by perceived enjoyment, social influence, perceived compatibility, and usefulness. The study found that its conceptual model can predict and explain college students' purchase intention on mobile games. Satisfaction and value were identified as key predictors and preconditions of mobile game purchase intention. Conclusions: This study suggests that mobile game developers and marketers of mobile games should focus on improving the perceived compatibility of mobile games. This will help students think the system is valuable and intend to purchase mobile games.

Author Biography

Jinghao Yang

School of Media and Communication, Yangtze Normal University, China.

References

Agarwal, R., & Prasad, J. (1997). The role of innovation characteristics and perceived voluntariness in the acceptance of information technologies. Decision Sciences, 28(3), 557-582. https://doi.org/10.1111/j.1540-5915.1997.tb01322.x

Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238-246. https://doi.org/10.1037/0033-2909.107.2.238

Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370. https://doi.org/10.2307/3250921

Boro, P., Debnath, J., Das, T., Naha, B., Debbarma, N., Debbarma, P., Debbarma, C., & Suniti, L. (2018). Milk composition and factors affecting it in dairy Buffaloes: A review. Animal Research, 2(1), 1-10.

Bruner, G. C., & Kumar, A. (2005). Explaining Consumer Acceptance of Handheld Internet Devices. Journal of Business Research, 58, 553-558. http://dx.doi.org/10.1016/j.jbusres.2003.08.002

Chen, Y. (2014). Principles and Applications of Analyzing a Citation Space (1st ed.). Science Press.

Choe, P., & Schumacher, D. (2014). Influence of Different Types of Vibrations on Technical Acceptance of a Mobile Game Aiming for Hedonic Satisfaction. International Journal of Human–Computer Interaction, 31(1), 33-43. https://doi.org/10.1080/10447318.2014.959101

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

Delone, W., & McLean, E. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.

Doll, R., Peto, R., Wheatley, K., Gray, R., & Sutherland, I. (1994). Mortality in relation to smoking: 40 years' observations on male British doctors. British Medical Journal, 309(6959), 901-911. https://doi.org/10.1136/bmj.309.6959.901

Engel, J. F., Blackwell, R. D., & Miniard, P. W. (2001). Consumer Behavior. Division of Thomson Learning.

En-Pei, L., & Zhao, L.-L. (2013). Vascular Reactivity Index as an Effective Predictor of Mortality in Children with Refractory Septic Shock. Journal of Intensive Care Medicine, 39(9), 1602-1609. https://doi.org/10.1177/0885066620914850

Fornell, C. G., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

https://doi.org/10.1177/002224378101800104

Grace, D., & Weaven, S. (2011). An empirical analysis of franchisee value-in-use, investment risk and relational satisfaction. Journal of Retailing, 87(3), 366-380. https://doi.org/10.1016/j.jretai.2010.06.001

Grazioli, S., & Jarvenpaa, S. L. (2000). Perils of internet fraud: an empirical investigation of deception and trust with experienced internet consumers. IEEE Transactions on Systems, Man, and Cybernetics, 30(4), 395-410.

Gurtner, S., Reinhardt, R., & Soyez, K. (2014). Designing mobile business applications for different age groups. Technological Forecasting & Social Change, 88, 177-188.

https://doi.org/10.1016/j.techfore.2014.06.020

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective (7th ed.). Pearson Education.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, L. R. (2006). Multivariant Data Analysis (1st ed.). Pearson International Edition.

Ho, T., Money, N. M., & Schroeder, A. R. (2020). 2019 Update on Pediatric Medical Overuse: A Systematic Review. JAMA Pediatr, 174(4), 375-382.

Hopwood, C. J., & Donnellan, M. B. (2010). How should the internal structure of personality inventories be evaluated? Personality and Social Psychology Review, 14(3), 332-346. https://doi.org/10.1177/1088868310361240

Hsiao, C.-H., Chang, J.-J., & Tang, K.-Y. (2016). Exploring the influential factors in continuance usage of mobile social Apps: Satisfaction, habit, and customer value perspectives. Telematics and Informatics, 33(2), 342-355. https://doi.org/10.1016/j.elerap.2016.01.001

Hsiao, K.-L., & Chen, C.-C. (2016). What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty. Electronic Commerce Research and Applications, 16, 18-29.

Kim, S. C., Yoon, D., & Han, E. K. (2016). Antecedents of mobile app usage among smartphone users. Journal of Marketing Communications, 22(6), 653-670. https://doi.org/10.1080/13527266.2014.951065

Kleijnen, J. P. C. (2007). Screening Experiments for Simulation: A Review. Center for Economic Research, 16, 1-21. https://doi.org/10.2139/ssrn.987789

Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). Guilford Press.

Kuo, F. L., Yang, P. H., Hsu, H. T., Su, C. Y., Chen, C. H., & Yeh, I. J. (2020). Survey on Perceived Work Stress and Its Influencing Factors among Hospital Staff during the Covid-19 Pandemic in Taiwan. The Kaohsiung Journal of Medical Sciences, 36, 944-952. https://doi.org/10.1002/kjm2.12294

Lane, N. D., Miluzzo, E., & Lu, H. (2010). A survey of mobile phone sensing. IEEE Communications Magazine, 48(9), 140-150. https://doi.org/10.1109/mcom.2010.5560598

Lee, D. S. (2009). Training, wages, and sample selection: Estimating sharp bounds on treatment effects. Review of Economic Studies, 76(3), 1071-1102.

https://doi.org/10.1111/j.1467-937x.2009.00536.x

Li, L. (2004). Virtual Self-Realization: A Psychological Discussion on Online Gaming. China Communication Science and Technology, 2(3), 45-59.

Lovelock, C. H., & Wright, L. (2002). Principles of Service Marketing and Management (2nd ed.). Prentice-Hall.

Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222. https://doi.org/10.1287/isre.2.3.192

Park, B. W., & Lee, K. C. (2011). Exploring the value of purchasing online game items. Computers in Human Behavior, 27(6), 2178-2185. https://doi.org/10.1016/j.chb.2011.06.013

Petter, S., Delone, W., & Mclean, E. (2013). Information systems success: the quest for the independent variables. Journal of Management Information Systems, 29(4), 7-61.

Rogers, E. M. (1995). Diffusion of Innovations: Modification of a Model for Telecommunications. Springer, 1, 25-38. https://doi.org/10.1007/978-3-642-79868-9_2

Schilling, M. A. (2002). Technology Success and Failure in Winner-Take-All Markets: The Impact of Learning Orientation, Timing and Network Externalities. Academy of Management Journal, 45, 387-398. http://dx.doi.org/10.2307/3069353

Shao, C. Y., Baker, J., & Wagner, J. A. (2004). The effects of appropriateness of services contact personnel dress on customer expectations of involvement and gender. Journal of Business Research, 57, 1164-1176.

Sharma, G. P., Verma, R. C., & Pathare, P. (2005). Mathematical modeling of infrared radiation thin layer drying of onion slices. Journal of Food Engineering, 71(3), 282-286.

https://doi.org/10.1016/j.jfoodeng.2005.02.010

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.

Sweeney, J. C., Soutar, G. N., & Johnson, L. W. (1997). Retail service quality and perceived value: a comparison of two models. Journal of Retailing and Consumer Services, 4(1), 39-48.

Tang, J., Zhang, B., & Bin, U. A. (2019). User willingness to purchase applications on mobile intelligent devices: evidence from app store. Asia Pacific Journal of Marketing and Logistics, 32(8), 1629-1649. https://doi.org/10.1016/s0969-6989(96)00017-3

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540

Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020). A novel coronavirus outbreak of global health concern. Lancet, 395(10223), 470-473. https://doi.org/10.1016/s0140-6736(20)30185-9

Wang, Y. (2021). A probe into the cultivation path of correct world outlook, outlook on life and values of college students. Times Figure, 2(4), 99-100.

Wen, C. P., Wai, J. P. M., & Tsai, M. K. (2011). Minimum amount of physical activity for reduced mortality and extended life expectancy, A prospective cohort study. The Lancet, 378(9798), 1244-1253. https://doi.org/10.1016/s0140-6736(11)60749-6

Wheaton, B., Muthen, B., Alwin, D. F., & Summers, G. (1977). Assessing reliability and stability in panel models. Sociological Methodology, 8, 84-136. https://doi.org/10.2307/270754

Wu, J., & Liu, D. (2007). The effects of trust and enjoyment on intention to play online games. Journal of Electronic Commerce Research, 8(2), 128-140.

Wu, J. H., & Wang, Y. M. (2006). Measuring KMS success: A respecification of the DeLone and McLean’s model. Information and Management, 43(6), 728-739. https://doi.org/10.1016/j.im.2006.05.002

Wu, M.-Y., & Lee, Y.-R. (2011). The effects of internal marketing, job satisfaction and service attitude on job performance among high-tech firm. African Journal of Business Management, 5(32), 1-10.

Yang, Y., Li, X. M., Sun, Z. H., Yang, T., Tan, Z. L., Wang, B. F., Han, X. F., & He, Z. X. (2012). The growth performance and meat quality of goats fed diets based on maize or wheat grain. J. Anim. Feed Sci., 21(4), 587-598. https://doi.org/10.22358/jafs/66133/2012

YANYI. (2023, November 1). Yanyi Group Strengthens Global Market Presence under "Belt and Road" Initiative. https://www.linkedin.com/pulse/yanyi-group-strengthens-global-market-wwm4c?trk=article-ssr-frontend-pulse_more-articles_related-content-card

Zhou, Q., Fellows, A., Flerchinger, G. N., & Flores, A. N. (2019). Examining Interactions Between and Among Predictors of Net Ecosystem Exchange: A Machine Learning Approach in a Semi-arid Landscape. Scientific Reports 9, 2222. https://doi.org/10.1038/s41598-019-38639-y

Zhou, Z., Jin, X. L., & Fang, Y. (2014). Moderating role of gender in the relationships between perceived benefits and satisfaction in social virtual world continuance. Decision Support Systems, 65, 69-79. https://doi.org/10.1016/j.dss.2014.05.004