Factors Impacting Male Students’ Behavioral Intentions to Purchase Mobile Reading Apps in Chengdu, China
Article Sidebar
Main Article Content
Abstract
Purpose: This study aims to analyze the factors impacting male students’ behavioral intention to purchase mobile reading apps in Chengdu, China. The conceptual framework contains key variables which are perceived value, satisfaction, service quality, trust, social influence, perceived usefulness, and perceived ease of use. Research design, data, and methodology: The online and offline questionnaires were distributed to 500 male students, using judgmental, stratified random and convenience sampling methods. For the data analysis, confirmatory factor analysis (CFA) and structural equation model (SEM) were employed to test measurement and structural models. Additionally, validity, reliability and goodness of fits were assessed. Results: The results explicated that perceived value and service quality are the predictors of satisfaction towards trust and behavioral intention. Furthermore, behavioral intention is significantly influenced by social influence perceived usefulness and perceived ease of use. Nevertheless, perceived ease of use has no significant impact on perceived usefulness. Conclusion: Eight hypotheses were proven to fulfill research objectives. Software developers should pay attention to consumer needs and attract college students with high-quality content, make sure of the security of payment, focus on the applicability, and provide knowledge that meets the needs of college students.
Downloads
Article Details
This work is licensed under a Creative Commons Attribution 4.0 International License.
The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data, or other material from the work of others, the submitting author has obtained any necessary permission.
Articles in this journal are published under the Creative Commons Attribution License (CC-BY What does this mean?). This is to get more legal certainty about what readers can do with published articles, and thus a wider dissemination and archiving, which in turn makes publishing with this journal more valuable for you, the authors.
References
Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior (1st ed.) Prentice-Hall.
Alkhadim, M., Gidado, K., & Painting, N. (2018). Risk management: The effect of FIST on perceived safety in crowded large space buildings. Safety Science, 108, 29-38. https://doi.org/10.1016/j.ssci.2018.04.021
Anderson, J. C., & Narus, J. A. (1990). A Model of Distributor Firm and Manufacturer Firm Working Partnerships. Journal of Marketing, 54(1), 42-58. https://doi.org/10.1177/002224299005400103
Askariazad, M. H., & Babakhani, N. (2015). An application of European Customer Satisfaction Index (ECSI) in business to business (B2B) context. Journal of Business & Industrial Marketing, 30(1), 17-31. https://doi.org/10.1108/jbim-07-2011-0093
Athanassopoulos, A., Gounaris, S., & Stathakopoulos, V. (2001). Behavioural responses to customer satisfaction: an empirical study. European Journal of Marketing, 35(5/6), 687-707. https://doi.org/10.1108/03090560110388169
Babbie, E. (1990). Survey Research Methods (2nd ed). Wadsworth. Belmont.
Babin, B. J., Hair, J. F., & Boles, J. S. (2014). Publishing Research in Marketing. Journals Using Structural Equation Modeling, 16(4), 279-286.
Bhattacharya, C. B., Korschun, D., & Sen, S. (2009). Strengthening Stakeholder-Company Relationships Through Mutually Beneficial Corporate Social Responsibility Initiatives. Journal of Business Ethics, 85(S2), 257-272. https://doi.org/10.1007/s10551-008-9730-3
Bollen, K. A. (1989). Structural equations with latent variables. John Wiley & Sons.
Bollen, K. A., & Noble, M. D. (2011). Structural equation models and the quantification of behavior. Proceedings of the National Academy of Sciences, 108(3), 15639-15646. https://doi.org/10.1073/pnas.1010661108
Boonlertvanich, K. (2019). Service quality, satisfaction, trust, and loyalty: the moderating role of main-bank and wealth status. International Journal of Bank Marketing, 37(1), 278-302. https://doi.org/10.1108/ijbm-02-2018-0021
Carlson, J., & O'Cass, A. (2010). Exploring the relationships between e-service quality, satisfaction, attitudes and behaviours in content-driven e-service web sites. Journal of Services Marketing, 24(2), 112-127. https://doi.org/10.1108/0887604101103109
Caruana, A. (2002). Service loyalty: The effects of service quality and the mediating role of customer satisfaction. European Journal of Marketing, 36(7), 811-828.
Çelik, H. (2008). What determines Turkish customers' acceptance of internet banking? International Journal of Bank Marketing, 26(5), 353-370. https://doi.org/10.1108/02652320810894406
Chatterjee, S., Shainesh, G., & Sravanan, C. N. S. (2018). Does intention translate into action? Investigating the impact of loyalty intention on future usage. Journal of Indian Business Research, 10(2), 151-169. https://doi.org/10.1108/jibr-11-2017-0213
Chumpitaz Caceres, R., & Paparoidamis, N. G. (2007). Service quality, relationship satisfaction, trust, commitment and business-to-business loyalty. European Journal of Marketing, 41(7/8), 836-867. https://doi.org/10.1108/03090560710752429
Collier, J. E., & Bienstock, C. C. (2006). Measuring Service Quality in E-Retailing. Journal of Service Research, 8(3), 260-275. https://doi.org/10.1177/1094670505278867
Costabile, M., Raimondo, M. A., & Miceli, G. (2002). A dynamic model of customer loyalty. European Marketing Academy, 13, 66.
Cronin, J. J., & Taylor, S. A. (1992). Measuring Service Quality: A Reexamination and Extension. Journal of Marketing, 56(3), 55. https://doi.org/10.2307/1252296
Crosby, L. A., Evans, K. R., & Cowles, D. (1990). Relationship Quality in Services Selling: An Interpersonal Influence Perspective. Journal of Marketing, 54(3), 68-81. https://doi.org/10.1177/002224299005400306
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
Didyasarin, H., Vongurai, R., & Inthawadee, S. (2017). The factors impact attitude toward using and customer satisfaction with elderly health care mobile application services: a case study of people in Bangkok metropolitan, Thailand. AU-GSB E-JOURNAL, 10(1), 167-176.
Feng, X. T. (2020). Modern Social Survey Methods. (1st ed.). SAGE Research Methods.
Fink, A. (1995). How to measure survey reliability and validity. (1st ed.). CA Sage Publications. https://doi.org/10.4135/9781483348957
Forgas-Coll, S., Palau-Saumell, R., Sánchez-García, J., & María Caplliure-Giner, E. (2014). The role of trust in cruise passenger behavioral intentions: The moderating effects of the cruise line brand. Management Decision, 52(8), 1346-1367. https://doi.org/10.1108/md-09-2012-0674
Fornell, C. (1992). A National Customer Satisfaction Barometer: The Swedish Experience. Journal of Marketing, 56(1), 6-21. https://doi.org/10.1177/002224299205600103
Gable, G. G. (1994). Integrating case study and survey research methods: an example in information systems. European Journal of Information Systems, 3(2), 112-126. https://doi.org/10.1057/ejis.1994.12
Gallarza, M. G., Gil-Saura, I., & Holbrook, M. B. (2011). The value of value: Further excursions on the meaning and role of customer value. Journal of Consumer Behaviour, 10(4), 179-191. https://doi.org/10.1002/cb.328
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in Online Shopping: An Integrated Model. MIS Quarterly, 27(1), 51. https://doi.org/10.2307/30036519
Gerpott, T. J., Rams, W., & Schindler, A. (2001). Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market. Telecommunications Policy, 25(4), 249-269. https://doi.org/10.1016/s0308-5961(00)00097-5
Gill, D., Byslma, B., & Ouschan, R. (2007). Customer perceived value in a cellar door visit: the impact on behavioural intentions. International Journal of Wine Business Research, 19(4), 257-275. https://doi.org/10.1108/17511060710837418
Giovanis, A. N., Binioris, S., & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1), 24-53. https://doi.org/10.1108/14502191211225365
Gounaris, S. P. (2005). Trust and commitment influences on customer retention: insights from business-to-business services. Journal of Business Research, 58(2), 126-140. https://doi.org/10.1016/s0148-2963(03)00122-x
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 (6th ed.). Pearson International Edition.
Hernández, A., Bórquez, A., Alcaíno, L., Morales, J., Dantagnan, P., & Saez, P. (2010). Effects of autoclaving on the apparent digestibility coefficient of dehulled pea seed meal (Pisum sativum L.) in rainbow trout (Oncorhynchus mykiss W.). Ciencia e investigación agraria, 37(3), 39-46. https://doi.org/10.4067/s0718-16202010000300003
Hsin Chang, H., & Wang, H.-W. (2011). The moderating effect of customer perceived value on online shopping behaviour. Online Information Review, 35(3), 333-359. https://doi.org/10.1108/14684521111151414
Jimenez, N., San-Martin, S., & Azuela, J. I. (2016). Trust and satisfaction: the keys to client loyalty in mobile commerce. Academia Revista Latinoamericana de Administración, 29(4), 486-510. https://doi.org/10.1108/arla-12-2014-0213
Kaur, S., & Arora, S. (2020). Role of perceived risk in online banking and its impact on behavioral intention: trust as a moderator. Journal of Asia Business Studies, 15(1), 1-30. https://doi.org/10.1108/jabs-08-2019-0252
Khalilzadeh, J., Ozturk, A. B., & Bilgihan, A. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry. Computers in Human Behavior, 70, 460-474. https://doi.org/10.1016/j.chb.2017.01.001
Kotler, P. (2000). Marketing management: Analyzing consumer marketing and Buyer behavior (1st ed.). Prentice Hall
Lai, J.-Y., & Chang, C.-Y. (2011). User attitudes toward dedicated e-book readers for reading: The effects of convenience, compatibility and media richness. Online Information Review, 35(4), 558-580. https://doi.org/10.1108/14684521111161936
Lee, G.-G., & Lin, H.-F. (2005). Customer perceptions of e-service quality in online shopping. International Journal of Retail & Distribution Management, 33(2), 161-176. https://doi.org/10.1108/09590550510581485
Lee, M.-C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141. https://doi.org/10.1016/j.elerap.2008.11.006
Leisen, B., & Hyman, M. R. (2004). Antecedents and consequences of trust in a service provider. Journal of Business Research, 57(9), 990-999. https://doi.org/10.1016/s0148-2963(02)00343-0
Liljander, V., & Strandvik, T. (1997). Emotions in service satisfaction. International Journal of Service Industry Management, 8(2), 148-169. https://doi.org/10.1108/09564239710166272
Liu, Y., Li, H., Kostakos, V., Goncalves, J., Hosio, S., & Hu, F. (2014). An empirical investigation of mobile government adoption in rural China: A case study in Zhejiang province. Government Information Quarterly, 31(3), 432-442. https://doi.org/10.1016/j.giq.2014.02.008
Liu, Z., & Huang, X. (2016). Reading on the move: A study of reading behavior of undergraduate smartphone users in China. Library & Information Science Research, 38(3), 235-242. https://doi.org/10.1016/j.lisr.2016.08.007
Long, M., & McMellon, C. (2004). Exploring the determinants of retail service quality on the Internet. Journal of Services Marketing, 18(1), 78-90. https://doi.org/10.1108/08876040410520726
Loureiro, S. M. C., & González, F. J. M. (2008). The Importance of Quality, Satisfaction, Trust, and Image in Relation to Rural Tourist Loyalty. Journal of Travel & Tourism Marketing, 25(2), 117-136. https://doi.org/10.1080/10548400802402321
Lundstrom, W. J., & Hunt, H. K. (1978). Conceptualization and Measurement of Consumer Satisfaction and Dissatisfaction. Journal of Marketing Research, 15(1), 167. https://doi.org/10.2307/3150428
Malaquias, R. F., & Hwang, Y. (2016). An empirical study on trust in mobile banking: A developing country perspective. Computers in Human Behavior, 54, 453-461. https://doi.org/10.1016/j.chb.2015.08.039
Moorman, C., Deshpande, R., & Zaltman, G. (1993). Factors Affecting Trust in Market Research Relationships. Journal of Marketing, 57(1), 81. https://doi.org/10.2307/1252059
Moorman, C., Zaltman, G., & Deshpande, R. (1992). Relationships between Providers and Users of Market Research: The Dynamics of Trust within and between Organizations. Journal of Marketing Research, 29(3), 314-328. https://doi.org/10.1177/002224379202900303
Morgan, R. M., & Hunt, S. D. (1994). The Commitment-Trust Theory of Relationship Marketing. Journal of Marketing, 58(3), 20-38. https://doi.org/10.1177/002224299405800302
Nysveen, H., Pedersen, P. E., Thorbjørnsen, H., & Berthon, P. (2005). Mobilizing the Brand: The Effects of Mobile Services on Brand Relationships and Main Channel Use. Journal of Service Research, 7(3), 257-276. https://doi.org/10.1177/1094670504271151
Oliver, R. L. (1980). A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions. Journal of Marketing Research, 17(4), 460-469. https://doi.org/10.1177/002224378001700405
Oliver, R. L. (1997). Satisfaction: A Behavioral Perspective on the Customer (2nd ed.). McGraw-Hill Companies.
Oliver, R. L. (1999). Whence Consumer Loyalty? Journal of Marketing, 63, 33. https://doi.org/10.2307/1252099
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. Journal of Retailing, 64(1), 12-40.
Paul, L., Brewster, S., Wyke, S., McFadyen, A. K., Sattar, N., Gill, J. M., Dybus, A., & Gray, C. M. (2017). Increasing physical activity in older adults using STARFISH, an interactive smartphone application (app); a pilot study. Journal of Rehabilitation and Assistive Technologies Engineering, 4, 205566831769623. https://doi.org/10.1177/2055668317696236
Pedroso, V., Navarro, M. V., Fleites, B. I., & Sosa Solis, E. C. (2016). Feeding systems with foliage of Morus alba and sugar cane stalks for fattening rabbits. Feedipedia, 17(12), 1-7.
Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016). An investigation of mobile payment (m-payment) services in Thailand. Asia-Pacific Journal of Business Administration, 8(1), 37-54. https://doi.org/10.1108/apjba-10-2014-0119
Puddephatt, A., & Mcluhan, A. (2019). Generic Social Processes: Reimagining a Conceptual Schema for Grounded Theory in the Contemporary Era. Sociological Focus, 52(2), 140-155. https://doi.org/10.1080/00380237.2018.1544515
Rauyruen, P., & Miller, K. E. (2007). Relationship quality as a predictor of B2B customer loyalty. Journal of Business Research, 60(1), 21-31. https://doi.org/10.1016/j.jbusres.2005.11.006
Rodríguez-Navarro, D. N., Margaret Oliver, I., Albareda Contreras, M., & Ruiz-Sainz, J. E. (2011). Soybean interactions with soil microbes, agronomical and molecular aspects. Agronomy for Sustainable Development, 31(1), 173-190. https://doi.org/10.1051/agro/2010023
Sandra, K., Vandenheede, I., & Sandra, P. (2014). Modern chromatographic and mass spectrometric techniques for protein biopharmaceutical characterization. Journal of Chromatography A, 1335, 81-103. https://doi.org/10.1016/j.chroma.2013.11.057
San-Martín, S., & López-Catalán, B. (2013). How can a mobile vendor get satisfied customers?. Industrial Management and Data Systems, 113(2), 156-170.
Santos, J. (2003). E-service quality: a model of virtual service quality dimensions. Managing Service Quality: An International Journal, 13(3), 233-246. https://doi.org/10.1108/09604520310476490
Schlaegel, C. (2015). Understanding individuals' initial and continued use of online auction marketplaces: A meta-analysis. Management Research Review, 38(8), 855-907. https://doi.org/10.1108/mrr-09-2013-0210
Schmitz, J., & Fulk, J. (1991). Organizational Colleagues, Media Richness, and Electronic Mail: A Test of the Social Influence Model of Technology Use. Communication Research, 18(4), 487-523. https://doi.org/10.1177/009365091018004003
Sekaran, U. (1992). Research Methods for Business: A Skill-Building Approach. Leadership & Organization Development Journal, 34(7), 700-701. https://doi.org/10.1108/lodj-06-2013-0079
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, Leading - Edge Psychological Tests and Testing Research. 2(3), 27-50.
Singh, S., Sahni, M. M., & Kovid, R. K. (2020). What drives FinTech adoption? A multi-method evaluation using an adapted technology acceptance model. Management Decision, 58(8), 1675-1697. https://doi.org/10.1108/md-09-2019-1318
Spears, N., & Singh, S. N. (2004). Measuring Attitude toward the Brand and Purchase Intentions. Journal of Current Issues & Research in Advertising, 26(2), 53-66. https://doi.org/10.1080/10641734.2004.10505164
Tarhini, A., El-Masri, M., Ali, M., & Serrano, A. (2016). Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach. Information Technology & People, 29(4), 830-849. https://doi.org/10.1108/itp-02-2014-0034
Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369-392. https://doi.org/10.1108/intr-12-2012-0244
Venkatesh, V. (2000). Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model. Information Systems Research, 11(4), 342-365. https://doi.org/10.1287/isre.11.4.342.11872
Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting Different Conceptualizations of System Use: The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation. MIS Quarterly, 32(3), 483. https://doi.org/10.2307/25148853
Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204. https://doi.org/10.1287/mnsc.46.2.186.11926
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. https://doi.org/10.2307/30036540
Xianglian, M. (2021). Major engineering geological problems and countermeasures along traffic corridor. Journal of Engineering Geology, 29(2), 307-325.
Yang, Z., & Jun, M. (1970). Consumer Perception of E-Service Quality: From Internet Purchaser and Non-Purchaser Perspectives. Journal of Business Strategies, 19(1), 19-42. https://doi.org/10.54155/jbs.19.1.19-42
Yu, C. S. (2012). Factors affecting individuals to adopt mobile banking: empirical evidence from the UTAUT model, Journal of Electronic Commerce Research, 13(2), 104-121.
Zeithaml, V. A., Parasuraman, A., & Malhotra, A. (2002). Service Quality Delivery through Web Sites: A Critical Review of Extant Knowledge. Journal of the Academy of Marketing Science, 30(4), 362-375. https://doi.org/10.1177/009207002236911
Zhang, L., & Ma, W. (2011). Correlation analysis between users' educational level and mobile reading behavior. Library Hi Tech, 29(3), 424-435. https://doi.org/10.1108/07378831111174396