A Confirmatory Factor Analysis of Behavioral Intention to Use Mobile Network towards Generation Z

Authors

  • Rungroj Subanjui Faculty of Business Administration, King Mongkut’s University of Technology North Bangkok
  • Nopporn Bua-in Faculty of Business Administration, King Mongkut’s University of Technology North Bangkok

Keywords:

Confirmatory factor analysis, The study of telephone network behavior selected, Generation Z

Abstract

The objective of this study was to analyze a confirmatory factor of behavioral intention to use mobile network towards generation Z based on the concept of service marketing mix (7P’s) under the marketing mix (4P’s) theory and relevant researches in marketing. This study proved the consistency of the model of confirmatory factor of behavioral intention to use mobile network towards generation Z with the empirical data. The sample used in the study was 222 samples of generation z, who had age between 17-22 years old. Gathering the samples from the educational sector in Rayong provinces. The research instrument was a questionnaire set, which was about behavioral intention to use mobile network towards generation Z with 5 elements as well as the internal reliability test value of 0.95 was been shown. 

The analysis of data by using the statistical software for social science and it was found that the result of first order CFA showed that all indices meet the fit indices criteria (CMIN = 84.639, CMIN/DF = 1.263, p-value = 0.072, GFI = 0.947 and RMSEA = 0.035), factor loading ranged from 0.65 to 0.97 with the statistical significance level of .01. The result of second order CFA also showed that all indices meet the fit indices criteria (CMIN = 70.235, CMIN/DF = 1.171, p-value = 0.172, GFI = 0.951 and RMSEA = 0.028), factor loading ranged from 0.71 to 0.79 with the statistical significance level of .01. The results indicated that behavioral intention to use mobile network towards generation Z consisted of five factors according to priority of importance as follows: place, service, promotion, people, and product, respectively. The results of the study could be the guidelines for promoting, developing, and driving the push and pull strategies towards network towards business in terms of needs and satisfaction of generation z.

References

Angsuchot, S. (2009). Analytical Statistics for Research in Behavioral and Social science with Lisrel Program (3rd ed.). Bangkok: Chareondee Monkong Publishing.

Anjani, H. D., Irham, I., & Waluyati, L. R. (2018). Relationship of 7P Marketing Mix and Consumers' Loyalty in Traditional Markets. Agro Ekonomi, 29(2), 261-273.

Arbuckle, J. L. (2013). IBM SPSS Amos 22 User’s Guide. U.S.A.: IBM Corporation.

Armstrong, G., & Kotler, P. (2013). Marketing : an Introduction (11th ed.). Upper Saddle River, NJ: Pearson Education Inc.

Barusman, A. R. P. (2019). The Impact of 7p’s (Marketing Mix) on Student Parents’ Decision at School for Disable Students with Special Needs. IOSR Journal of Business and Management, 21(5), 22-28.

Cilliers, E. J. (2017). The challenge of teaching generation Z. PEOPLE: International Journal of Social Sciences, 3(1), 188-198.

Comrey, A. L., & Lee, H. B. (2016). A First Course in Factor Analysis (2nd ed.). New York: Psychology Press. Etzel, M. J., Walker, B. J., & Stanton, W. J. (2007). Marketing (14th ed.). Boston, MA: McGraw–Hill.

Garg, A., Gupta, S., Mathew, M., & Singh, S. (2020). Prioritising the preference of factors affecting the mobile network selection: A combination of factor analysis and best worst method. Journal of Public Affairs, e2345. https://doi.org/10.1002/pa.2345

Guo, S., & Ye, B. (2021). Editorial: 5G Wireless Communication Systems and Advanced Image Processing. Mobile Networks and Application, 26, 1169–1171. https://doi.org/10.1007/s11036-021-01733-5

Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. (7th ed.). Upper saddle River, NJ: Pearson Education Inc.

Jackson, G., & Ahuja, V. (2016). Dawn of the Digital Age and The Evolution of The Marketing Mix. Journal of Direct, Data and Digital Marketing Practice, 17(3), 170-186.

Jain, A., Misra, S., & Rudi, N. (2020). The Effect of Sales Assistance on Purchase Decisions: An analysis using retail video data. Quantitative Marketing and Economics. Retrieved from https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2699765

Johnson, J. (2021). Most popular online activities of Generation Z internet users worldwide as of 4th quarter 2018, by device. Retrieved form https://www.statista.com/statistics/321511/gen-z-onlineactivity-reach-by-device

Kotler, P., Keller, K. L., Manceau, D., & Dubois, B. (2016). Marketing Management. (15th ed.). Upper saddle River, NJ: Pearson Education Inc.

Kushwaha, G. S., & Agrawal, S. R. (2015). An Indian customer surrounding 7P' s of service marketing. Journal of Retailing and consumer services, 22, 85-95.

Leslie, B., Anderson, C., Bickham, C., Horman, J., Overly, A., Gentry, C., ... & King, J. (2021). Generation Z Perceptions of a Positive Workplace Environment. Employee Responsibilities and Rights Journal, 33, 1-17.

Michael, R. T., & Becker, G. S. (1973). On the new theory of consumer behavior. The Swedish Journal of Economics, 75(4), 378-396.

Mohammed, A. B. (2018). Selling smartphones to generation Z: Understanding factors influencing the purchasing intention of smartphone. International Journal of Applied Engineering Research, 13(6), 3220-3227.

National Statistical Office. (2020). Demographic statistics population and housing. Retrieved from http://statbbi.nso.go.th/staticreport/page/sector/th/01.aspx

Navaritisawin, V. (2013). A study of the difference in marketing mix and consumer behavior on the use of mobile phone network services in Nakhornratchasima province. Journal of Business Administration The Association of Private Higher Education Institutions of Thailand, 2(1), 25-36.

Neidhardt, J., & Werthner, H. (2018). IT and tourism: still a hot topic, but do not forget IT. Information Technology & Tourism, 20, 1-7. Retrieved from https://link.springer.com/content/pdf/10.1007/s40558-018-0115-x.pdf

Official statistics registration systems. (2020). Number of people throughout in Thailand according to the evidence of the civil registration. Retrieved from https://stat.bora.dopa.go.th/stat/pk/pk_63.pdf

Pumim, A., Srinuan, C., & Panjakajornsak, V. (2017). Mobile phone customer loyalty in Thailand: A path analysis case study. Asia-Pacific Social Science Review, 16(3), 65-82.

Satit, R. P., Tat, H. H., Rasli, A., Chin, T. A., & Sukati, I. (2012). The relationship between marketing mix and customer decision-making over travel agents: An empirical study. International Journal of Academic Research in Business and Social Sciences, 2(6), 522-530.

Seemiller, C., & Grace, M. (2016). Generation Z goes to college. San Francisco, CA: John Wiley & Sons.

Silpcharu, T. (2014). Statistical Research and Analysis with SPSS and AMOS (15th ed.). Bangkok: Business R & D.

Singh, A. (2014). Challenges and issues of generation Z. IOSR Journal of Business and Management, 16(7), 59-63.

Szymkowiak, A., Meloviæ, B., Dabiæ, M., Jeganathan, K., & Kundi, G. S. (2021). Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people. Technology in Society, 65, 101565. https://doi.org/10.1016/j.techsoc.2021.101565

Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (5th ed.) Boston, MA: Pearson Education Inc.

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Published

2021-12-18

How to Cite

Subanjui, R., & Bua-in, N. (2021). A Confirmatory Factor Analysis of Behavioral Intention to Use Mobile Network towards Generation Z. Journal of Business Administration The Association of Private Higher Education Institutions of Thailand, 10(2), 11–27. Retrieved from https://so02.tci-thaijo.org/index.php/apheitvu/article/view/245617

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Section

Research Articles