STUDY OF FACTORS AFFECTING CONSUMERS’ PURCHASING BEHAVIOR VIA ONLINE NETWORKS IN BANGKOK

Yıl 2021, Cilt: 3 Sayı: 1, 101 - 120, 31.03.2021

Ferheen L

https://doi.org/10.46959/jeess.812270

Öz

The purpose of this study is to explore the factors that affects the consumers’ purchasing behavior via the online networks in Bangkok, where the theoretical framework was derived based on previous researchers. The proposed hypotheses were tested and analyzed using the Structural Equation Modeling in order to measure the latent variables.
The five main hypotheses were that the individual variables (exogenous) significantly affects the dependent variable (endogenous). The 10 sub-hypotheses were to understand whether any correlation between the independent variables exists. The various analytical tests and goodness-of-fit measurement resulted in significant p-values for two main hypotheses out of five. The p-values for 9 sub-hypotheses out of 10 were significant. The results, the contradictions and affirmations with previous researchers is explained further in this research, along with implications and recommendations for further researchers and businesses to better understand the factors that significantly affects the consumers’ purchasing behavior via the online networks.

Anahtar Kelimeler

Brand relationship, Brand trust, Online engagement community, Perceived product’s performance, Purchasing behavior, SEM, Website Quality

Kaynakça

• Adams, P. (2012). Grouped: How small groups of friends are the key to influence on the social web.
• Aaker , D. (2011). Perceived quality. The Free Press.
• Arisman, A., & Risana, D. (2019). The Role of Status Consciousness In Determining The Millenial Generation Shopping Style. International Conference on Sustainable Collaboration in Business, Information and Innovation.
• Behjati, S., Mohanachandran, D., Management, O., & Abdullah. (2012, June). Application of Structural Equation Modeling (SEM) to Explain Online Purchasing Intention -An Extension of Theory of Planed Behaviour (TPB). Industrial Engineering Letters, 2.
• BrandReport, N. (2011). How internet changed consumer behavior.
• Chang, K., Kuo, N.-T., Hsu, C., & Cheng, Y.-S. (2014, August). The Impact of Website Quality and Perceived Trust on Customer Purchase Intention in the Hotel Sector: Website Brand and Perceived Value as Moderators. International Journal of Innovation and Technology Management, 5(4), 255-260.
• Changchit, C., Cutshall, R., Lonkani, R., Pholwan, K., & Pongwiritthon, R. (2018). Determinants of Online Shopping Influencing Thai Consumer’s Buying Choices. Journal of Internet Commerce, 18.
• Cheawkamolpat, P. (2009). Online Shopping Behavior: A Study Of Consumers In Bangkok. AU Journal Of Management, 7(2).
• Chen, X., Sun, X., Yan, D., & Wen, D. (2020). Perceived Sustainability and Customer Engagement in the Online Shopping Environment: The Rational and Emotional Perspectives. School of Management.
• Craig, J., & Moores, K. (2006). A 10-year longitudinal investigation of strategy, systems, and environment on innovation in family firms. Family Business Reviews, 19(1), 1-10.
• Cronbach, L. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16, 297-334.
• Effendi, I., Chaniago, S., Lestari, I., & Nasib, N. (2019, February). Trust Identification And Smartphone Purchase Decisions. International Journal of Civil Engineering and Technology, 10(2), 1020-1032.
• Erevelles, S., & Leavitt, C. (1992). A comparison of current models of consumer satisfaction/dissatisfaction. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 5, 104–114.
• Fraile, A. (2018). What brands need to understand about consumer perception. Brand Quarterly.
• Garson, G. (2011). Validity. Statnotes, (http://faculty.chass.ncsu.edu/garson/PA765/validity.htm).
• Garson, G. D. (2011). Structural Equation Modeling. Statnotes. (http://faculty.chass.ncsu.edu/garson/PA765/structur.htm#AIC).
• Ghose, S., & Wenyu, D. (1998). Interactive functions and their impacts on the appeal of internet presence sites. Journal of Advertising Research, 38(2), 29-43.
• Gong, T. (2018). Customer brand engagement behavior in online brand communities (forthcoming). Journal of Services Marketing, 32(3), 286-299.
• Grose, E., Forsythe, C., & Ratner, J. (1998). Using web and traditional style guides to design web interfaces. In C. Forsythe, C., & J. Ratner (Ed.). (pp. 121-131). New Jersey: Lawrence Erlbaum Associates.
• Gummerus, J., Liljander, V., Pura, M., & Riel, V. (2004). Customer loyalty to content-based web sites: The case of an online health care service. The Journal of Services Marketing, 18(2-3), 175–186.
• Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1995). Multivariate Data Analysis: With Readings (Vol. Fourth Ed.). New Jersey, USA: Prentice Hall: Englewood Cliffs.
• Hennig-Thurau, Thorsten, Hofacker, & Bloching. (2013). Marketing the pinball way: Understanding how social media change the generation of value for consumers and companies. Journal of Interactive Marketing, 27(4), 237–41.
• Hsu, C., Chang, K., & Chen, M. (2012). The impact of website quality on customer satisfaction and purchase intention: Perceived playfulness and perceived flow as mediators. Information Systems and e-Business Management, 10(4), 549–570.
• Jackson, D. L. (2003). Revisiting sample size and number of parameter estimates: Some support for N:q hyopthesis. Structural Equation Modeling, 10, 128-141.
• Jöreskog, K., & Sörbom, D. (1988). LISREL-VI User’s Guide. 3rd ed.
• Khalil , H. A. (2017). The role of the quality of a website in consumer perception. University Of North Florida School Of Computing, Master of Science in Computing and Information Sciences. https://digitalcommons.unf.edu/etd/748: UNF Digital Commons.
• Kline, R. (2001). Principles and Practice of Structural Equation Modeling. The Guildford Press, Third ed.
• Leedy, P. (1993). Practical research: Planning and Design.
• Leesa-Nguansuk, S. (2020, February 27). Virus a plus for online sellers. Bangkok Post.
• Limpasirisuwan, N., & Donkwa, K. (2017). A Structural Equation Model for Enhancing Online Brand Community Loyalty. International Journal of Behavioral Science, 12(1), 95-110.
• Llusar, J. C., Camison, C., & Tena, A. B. (2001, September). Measuring the relationship between firm perceived quality and customer satisfaction and its influence on purchase intentions. Total Quality Management, 12(6), 719-734.
• Marakanon, L., & Panjakajornsak, V. (2017). Perceived Quality, Perceived Risk And Customer Trust Affecting Customer Loyalty Of Environmentally Friendly Electronics Products. Kasetsart Journal - Social Sciences, 38(1).
• McQuitty, I., Finn, A., & Wiley, J. (2000). Systematically varying consumer satisfaction and its implications for product choice. Academy of Marketing Science Review, 10(1), 231-254.
• Moustakis, V., Litos, C., Dalivigas, A., & Tsironis. (2004). Website assessment criteria. Proceedings of International Conference on Information Quality, (pp. 59-73). Boston.
• Othmani, L., & Bouslama, N. (2015). Perceived quality of a virtual community and its components: An exploratory investigation. Journal of Internet Social Networking & Virtual Communities, 1-11.
• Oliver, R. (1993). Cognitive, affective and attribute bases of the satisfaction response. Journal of Consumer Research, 20, 418– 430.
• Olorunniwo, F. O., Hsu, M. K., & Udo, G. (2006, January). Service quality, customer satisfaction, and behavioral intentions in the service factory. Journal of Services Marketing, 20(1), 59-72.
• Parasuraman, A., Valerie, A. Z., & Berry, L. (1985). A conceptual model of service quality and its implications for future research. Journal of Marketing, 9(Fall), 120-145.
• Paswan, A. (2009). Confirmatory Factor Analysis and Structural Equations Modeling, An Introduction. Department of Marketing and Logistics, COB.
• Paul, C. P., Jhangiani, R., & I-Chant, A. C. (2013). Understanding Null Hypothesis Testing. Inferential Statistic. Powered by Pressbooks.
• Payne, A., Storbacka, K., & Frow, P. (2008). Managing the Co-Creation of Value. 36(1), 83-96.
• Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465.
• Ray, S., Kim, S. S., & Morris, J. G. (2014, September 01). The Central Role of Engagement in Online Communities. Information Systems Research, 25.
• Rolph, E. A., & Joseph, F. H. (1972). Consumerism, Consumer Expectations, and Perceived Product Performance. In M. Venkatesan (Ed.), In SV-Proceedings of the Third Annual Conference of the Association for Consumer Research, (pp. 67-79). Chicago.
• Saleem, A., Ghafar, A., Ibrahim, M., Yousuf, M., & Ahmed, N. (2015). Product perceived quality and purchase intention with consumer satisfaction. Global Journal of Management and Business Research: E Marketing., 15(1), Version 1.0.
• Schreiber, J. B., A., N., F. K., S., E. A., B., & J., K. (2006). Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review. Journal of Educational Research, 99(6), 323-337.
• Semerádová, T., & Weinlich, P. (2020). Website Quality and Shopping Behavior: Quantitative and Qualitative Evidence (Vol. 1 edition). Springer.
• Shadfar, S., & Malekmohammadi, I. (2013, December). Application of Structural Equation Modeling (SEM) in restructuring state intervention strategies toward paddy production development. International Journal of Academic Research in Business and Social Sciences, 3(12).
• Snoj, B., Pisnik, A., & Mumel, D. (2004, May). The Relationships Among Perceived Quality, Perceived Risk And Perceived Product Value. Journal of Product & Brand Management, 13(3), 156-167.
• Spitfire. (2019). How the internet changed buying behavior. Retrieved from https://blog.spitfireinbound.com/how-the-internet-changed-buyer-behaviour
• Stephen, A. (Ed.). (2018). Brand crises in the digital age. Science Direct: ,, Germany: Elsevier B.V.
• Tabachnick, B., & Fidell, L. (2007). Using Multivariate Statistics. 5th ed.
• Thananuraksakul, S. (2007). Factors Influencing Online Shopping Behavior Intention: A Study Of Thai Consumers. AU Journal of Managment, 5(1).
• Tiago, M. P., & Verissimo, J. M. (2014). Digital marketing and social media: Why bother? Business Horizons, 57(6), 703-08.
• Vantamay, S. (2007). Understanding of perceived product quality: Reviews and recommendations.
• Vora , P. (1998). Human factors methodology for designing web sites. In E. Grose, C. Forsythe, & J. Ratner (Ed.). (pp. 189-198). New Jersey: Lawrence Erlbaum Associates.
• Wang, X., Yu, C., & Wei, Y. (2012). Social media peer communication and impacts on purchase intentions: A consumer socialization framework. Journal of Interactive Marketing, 26(4), 198-208.
• Zhang, S., Peng, M. Y.-p., Peng, Y., Zhang, Y., Ren, G., & Chen, C.-C. (2020, March 06). Expressive Brand Relationship, Brand Love, and Brand Loyalty for Tablet PCs: Building a Sustainable Brand. Organizational Psychology.