Authors
- Zhao Li
Keywords:
Mobile Reading, Perceived Ease of Use, Perceived Usefulness, System Quality, Behavioral IntentionAbstract
Purpose:The main objective of this study is to examine the behavioral intention of college students at Panzhihua University regarding mobile reading apps. The study utilizes a questionnaire survey to analyze the influencing factors, such as system quality, information quality, service quality, perceived usefulness, and perceived ease of use, on college students' behavioral intention to use mobile reading apps.Research design, data, and methodology:The target population for this study consists of college students at Panzhihua University, with a total sample size of 500 undergraduate students from the first to the third year. The researchers employ three sampling techniques: judgmental, quota, and convenience sampling to collect the target samples.Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were used to analyze the reliability of study variables and conceptual frameworks. Results:All hypotheses are supported. System quality, service quality information quality, and perceived ease of use significantly impact perceived usefulness. Perceived usefulness significantly impacts behavioral intention.Conclusions:The findings of this study provide empirical evidence supporting the hypothesized relationships between variables. Stakeholders can create a conducive environment for mobile reading app adoption, fostering positive user experiences and facilitating meaningful engagement among college students in Panzhihua City.
Author Biography
Zhao Li
China Panzhihua University College of Literature
References
Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. (1st ed.). Prentice-Hall.
Al-Omairi, M. (2020). The Use of Vocabulary Learning Strategies by EFL and EAP Undergraduate University Learners in the Iraqi Context. Arab World English Journal, 1(2). 111-120.
Asadi Someh, I., Breidbach, C., Shanks, G., & Davern, M. (2016). Ethical Implication of big data analytics. (1st ed.). European Conference on Information Systems.
Asiri, A., Mohiuddine, S., & Hazarika, B. (2019). Weighted statistical convergence through difference operator of sequences of fuzzy numbers with application to fuzzy approximation theorems. International Journal of General Systems, 48(5), 492-506.
Bashir, I., & Madhavaiah, C. (2015). Consumer Attitude and Behavioural Intention towards Internet Banking Adoption in India. Journal of Indian Business Research, 7, 67-102. https://doi.org/10.1108/JIBR-02-2014-0013
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
Byrne, B. M. (2010). Structural Equation Modeling with Amos: Basic Concepts, Applications, and Programming (2nd ed.). New York: Taylor and Francis Group.
Cao, M., Zhang, Q., & Seydel, J. (2005). B2C e‐commerce web site quality: an empirical examination. Industrial Management and Data Systems, 105(5), 645-661. https://doi.org/10.1108/02635570510600000
Cao, Y., & Jittawiriyanukoon, C. (2022). Factors Impacting Online Learning Usage during Covid-19 Pandemic Among Sophom*ores in Sichuan Private Universities. AU-GSB E-JOURNAL, 15(1), 152-163. https://doi.org/10.14456/augsbejr.2022.52
Castañeda, A., Ríos, F., & Luque Martínez, T. (2007). The dimensionality of customer privacy concern on the internet. Online Information Review, 31(4), 420-439.
Çelik, S. (2008). Opening the door: An investigation of mother tongue use in foreign language classrooms. Hacettepe University Journal of Education, 34(1), 75-85.
CEST. (2019, November 27). Outline of the National Plan for Medium- and Long-Term Education Reform and Development. https://cset.georgetown.edu/publication/outline-of-the-national-plan-for-medium-and-long-term-education-reform-and-development/
Chauhan, S. (2015). Acceptance of Mobile Money by Poor Citizens of India: Integrating Trust into the Technology Acceptance Model. Info, 17, 58-68. https://doi.org/10.1108/info-02-2015-0018
Chen, W. J., & Cheng, H. Y. (2012). Factors Affecting the Knowledge Sharing Attitude of Hotel Service Personnel. International Journal of Hospitality Management, 31, 468-476. https://doi.org/10.1016/j.ijhm.2011.07.005
China Internet Network Information Center. (2022, August). The 50th Statistical Report on China’s Internet Development. CNNIC. https://www.cnnic.com.cn/IDR/ReportDownloads/202212/P020221209344717199824.pdf
Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Sloan School of Management (1st ed.). Massachusetts Institute of Technology.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13, 319-340. https://doi.org/10.2307/249008
Davis, F. D. (1993). User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts. International Journal of Man-Machine Studies, 38, 475-487. https://doi.org/10.1006/imms.1993.1022
Davis, F., Bagozzi, R., & Warshaw, P. (2006). Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1. Journal of Applied Social Psychology, 22(14), 1111-1132. https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
DeLone, W., & McLean, E. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. J. of Management Information Systems, 19(4), 9-30.
Edmunds, A., & Morris, A. (2000). The problem of information overload in business organizations: a review of the literature. International Journal of Information Management, 20(1), 17-28.
Figl, K., & Derntl, M. (2011). The Impact of Perceived Cognitive Effectiveness on Perceived Usefulness of Visual Conceptual Modeling Languages. 30th International Conference, 1(2), 78-91.
Fornell, C., & 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
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis (7th ed.). Pearson.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 46, 1-12. https://doi.org/10.1016/j.lrp.2013.01.001
Hoyle, R. H. (2012). Handbook of structural equation modeling (1st ed.). The Guilford Press.
Hu, T., & Zhang, D. (2016). Gender difference in mobile phone use and the impact of digital device exposure on neck posture. Ergonomics, 59(11), 1453-1461.
Huang, H.-M., & Liaw, S.-S. (2018). An Analysis of Learners’ Intentions Toward Virtual Reality Learning Based on Constructivist and Technology Acceptance Approaches. The International Review of Research in Open and Distributed Learning, 19(1), 1-10. https://doi.org/10.19173/irrodl.v19i1.2503
Joreskog, K. G. (1969). A General Approach to Confirmatory Maximum Likelihood Factor Analysis. Psychometrika, 34, 183-202. https://doi.org/10.1007/BF02289343
Kervin, J. B. (1992). Methods for Business Research (1st ed.). Harper Collins Publishers.
Kuo, W., & Zuo, M. J. (2003). Optimal reliability Modeling: Principles and Applications (1st ed.). John Wiley & Sons, Hoboken.
Lederer, A., Maupin, D., Sena, M., & Zhuang, Y. (2000). Technology acceptance model and the World Wide Web. Decision Support Systems, 29(3), 269-282.
Lee, D. S. (2009). Training, wages, and sample selection: Estimating sharp bounds on treatment effects. Review of Economic Studies, 76, 1071-1102.
Lee, H. L. J. (2010). Code Switching in the Teaching of English as a Second Language to Secondary School Students. Malaysian Journal of ELT Research, 6, 1-45.
Lin, H.-F. (2007). Knowledge Sharing and Firm Innovation Capability: An Empirical Study. International Journal of Manpower, 28, 315-332. https://doi.org/10.1108/01437720710755272
Lin, S. H. J., & Johnson, R. E. (2015). A Suggestion to Improve a Day Keeps Your Depletion Away: Examining Promotive and Prohibitive Voice Behaviors within a Regulatory Focus and Ego Depletion Framework. Journal of Applied Psychology, 100, 1381-1397.
Lin, W. S., & Wang, C. H. (2012). Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit. Computers & Education, 58(1), 88-99.
Malhotra, N. K., Nunan, D., & Birks, D. F. (2017). Marketing Research: An Applied Approach (5th ed.). Pearson Education.
Marakarkandy, B., Yajnik, N., & Dasgupta, C. (2017). Enabling internet banking adoption: An empirical examination with an augmented technology acceptance model (TAM). Journal of Enterprise Information Management, 30(2), 263-294.
https://doi.org/10.1108/jeim-10-2015-0094
Marsh, H., Wen, Z., & Hau, K.-T. (2004). Structural Equation Models of Latent Interactions: Evaluation of Alternative Estimation Strategies and Indicator Construction. Psychological methods, 9(3), 275-300.
McClave, S., Martindale, R., Vanek, V., McCarthy, M., Roberts, P., Taylor, B., Ochoa, J., & Napolitano, L. (2009). Guidelines for the Provision and Assessment of Nutrition Support Therapy in the Adult Critically Ill Patient: Society of Critical Care Medicine (SCCM) and American Society for Parenteral and Enteral Nutrition (A.S.P.E.N.). JPEN. Journal of parenteral and enteral nutrition, 33(3), 277-316.
Namahoot, K., & Laohavichien, T. (2015). An Analysis of Behavioral Intention to use Thai Internet Banking with Quality Management and Trust. The Journal of Internet Banking and Commerce. 20(3), 1-10.
Nelson, R., odd, P., & Wixom, B. (2005). Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing. Journal of Management Information Systems, 21(4), 199-236.
Neo, M. L., Eckman, W., Vicentuan, K., Teo, S. L. M., & Todd, P. A. (2015). The ecological significance of giant clams in coral reef ecosystems. Biol Conserv 181, 111-123
Park, J., Lee, D., & Ahn, J. (2004). Risk-Focused E-Commerce Adoption Model: A Cross-Country Study. Journal of Global Information Technology Management, 7, 6-30.https://doi.org/10.1080/1097198X.2004.10856370
Park, S. Y. (2009). An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning. Educational Technology & Society, 12(3), 150-162.
Pedroso, R., Zanetello, L., Guimaraes, L., Pettenon, M., Goncalves, V., Scherer, J., Kessler, F., & Pechansky, F. (2016). Confirmatory factor analysis (CFA) of the crack use relapse scale (CURS). Archives of Clinical Psychiatry, 43(3), 37-40. https://doi.org/10.1590/0101-60830000000081
Pimmer, C., Linxen, S., Gröhbiel, U., Jha, A. K., & Burg, G. (2013). Mobile learning in resource-constrained environments: a case study of medical education. Medical teacher, 35(5), e1157-e1165. https://doi.org/10.3109/0142159X.2012.733454
Plano Clark, V. L., & Ivankova, N. V. (2016). Mixed Methods Research: A Guide to the Field (1st ed.). Thousand Oaks.
Qin, Y., Shenf, X., Zhu, C., & Wang, Y. (2020). Long short-term memory neural network with weight amplification and its application into gear remaining useful life prediction. Engineering Applications of Artificial Intelligence, 91, 103587
Roca, J., Chiu, C.-M., & Martínez López, F. (2006). Understanding e-Learning continuance intention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 64(8), 683-696.
Saeed, N., Khan, M. R., & Shabbir, M. (2012). Antioxidant activity, total phenolic and total flavonoid contents of whole plant extracts Torilis leptophylla L. BMC Complemenatry and Alternative Medicine, 12, 221.
Santos, J. (2003). E-Service Quality: A Model of Virtual Service Quality Dimensions. Managing Service Quality, 13, 233-246. http://dx.doi.org/10.1108/09604520310476490
Sarwar, M., & Soomro, T. (2013). Impact of Smartphone's on Society. European Journal of Scientific Research, 98(2), 216-226.
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.
Swanson, G. E. (1974). The primary process of groups, its systematics and representation. Journal for the Theory of Social Behaviour, 4(1), 53-69. https://doi.org/10.1111/j.1468-5914.1974.tb00329.x
Taylor, S., & Todd, P. (1995). Decomposition and Crossover Effects in the Theory of Planned Behavior: A Study of Consumer Adoption Intentions. International Journal of Research in Marketing, 12, 137-155.
http://dx.doi.org/10.1016/0167-8116(94)00019-K
Teo, T. (2009). Modelling Technology Acceptance in Education: A Study of Pre-Service Teachers. Computers & Education, 52, 302-312. http://dx.doi.org/10.1016/j.compedu.2008.08.006
Traxler, J. (2007). Defining, Discussing and Evaluating Mobile Learning: The moving finger writes and having writ.. International Review of Research in Open and Distance Learning, 8(2), 1-12. 10.19173/irrodl.v8i2.346
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Wang, T., McAuslane, N., Liberti, L., Leufkens, H., & Hövels, A. (2018). Building Synergy between Regulatory and HTA Agencies beyond Processes and Procedures-Can We Effectively Align the Evidentiary Requirements? A Survey of Stakeholder Perceptions. Value Health, 21(6), 707-714.
Watjatrakul, B. (2013). Intention to use a free voluntary service the effects of social influence, knowledge, and perceptions. Journal of Systems and Information Technology, 15(2), 202-220.
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
Yee, L. S., & Walet, M. H. (2013). Materialism and gratitude in Asia. Psychology at work in Asia: Proceeds of the 3rd and 4th Asian Psychological Association Conferences and the 4th International Conference on Organizational Psychology, 429-443.
Zarmpou, T., Saprikis, V., & Vlachopoulou, M. (2011). Investigating the Influential Factors towards Mobile Services Adoption in Greece. International Journal of Business Innovation and Research, 3(3), 252-267.
