The Expectations of Service Marketing Mix in Purchasing through Social Media channel of undergraduate students in Bangkok Metropolitan Region
Main Article Content
Abstract
From the current market situation, consumers have diverse and unique needs. Therefore, businesses must focus on customer value by offering an appropriate marketing mix and using social media marketing to respond to customer needs and expectations. This research aims to study the level of expectations regarding the service marketing mix factors, compare purchasing decisions on social media based on personal factors, and study the effects of expectations of the service marketing mix factors on product purchases via social media among undergraduate students in the Bangkok metropolitan region. This quantitative research involved 400 respondents selected by multi-stage sampling, with questionnaires used as the data collection tool. Statistical techniques employed for data analysis included frequency, percentage, mean, standard deviation, t-test, one-way ANOVA, Pearson's correlation coefficient, and stepwise multiple regression analysis. The results reveal that the level of expectations regarding the service marketing mix in social media purchases among undergraduate students is at a high level overall and in all aspects. Furthermore, when comparing personal factors with purchasing decisions, gender differences correlate with different purchasing decisions. Finally, the marketing mix factors affecting social media purchasing decisions among undergraduate students are physical evidence, product, process, and personal factors. Based on the research results, businesses should prepare their marketing channels in terms of physical characteristics, offer a wide variety of products that are quality-oriented and attractive, while being reliable in their processes, ensure reliable and safe payment systems, and implement interesting marketing promotion activities.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
References
Bangkokbiznews. (2021). Thai people use 'social media' number 1 in the world. https://www.bangkokbiznews.com/lifestyle/958161.
Boone, L. E., & Kurtz, D. L. (2016). Contemporary marketing (17th ed.). Cengage Learning.
Chancharoonchit. W. & Lekcharoen. S. (2020). Causal relationship model of brand loyalty on social media of UNIQLO consumers in Bangkok and Vacinity. Panyapiwat Journal. 12(3), 120–133.
Chang, C. (2007). The relative effectiveness of comparative and noncomparative advertising: evidence for gender differences in information-processing strategies. Journal of Advertising. 6(1): 21-35.
Charupongsopon. W. (2013). Strategic brand management. Bangkok: Plan printing.
Chuenchit. D. & Iamratanakul. S. (2019). The use of media to decide to buy Real Estate in Bangkok. Rajapark Journal. 13(29), 15–29.
Cochran, W. G. (1997). Sampling Techniques (2nd ed.). New York: John Wiley & Sons.
DEPA. (2022). Digital economy promotion agency. Digital transformation from New Normal to Next Normal. https://www.depa.or.th/th/article-view/digital-transformation-new-normal-next-normal.
Do, N. T. T. (2021). Factors leading to online purchase intentions: customized gifts industry in Denmark. ABAC Journal. 41(1): 100-120.
ETDA (2021a). Electronic Transactions Development Agency. ETDA reveals that Covid-19 is a noticeable cause: Gen Z uses the internet the most in the first year, beating Gen Y, the 6-time champion. https://www.etda.or.th/th/pr-news/ETDA-released-IUB-2021.aspx.
ETDA (2021b). Electronic Transactions Development Agency. Report of the survey results of internet users in Thailand in 2021 (Thailand Internet User Behavior 2021).
ETDA. (2020). Electronic Transactions Development Agency. Report on the results of the survey on usage behavior Internet in Thailand 2020. http://www.etda.or.th/th/Useful Resource/publications/Thailand-Internet-User-Behavior-2020_Slides.aspx.
Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived 65 benefits and risk of online shopping. Journal of Interactive Marketing. 20(2): 55-75.
Gao, H., Vikas M., & Zhang, Y. (2020). The differential effect of local–global identity among males and females: the case of price sensitivity. Journal of Marketing Research. 57(1): 173-191.
Jagdish, N. (2020). Borderless media: rethinking international marketing. Journal of International Marketing. 28(1), 3-12.
Jain, P., & Aggarwal, K. (2020). Transforming marketing with artificial intelligence. International Research Journal of Engineering and Technology, 7(7), 3964-3976.
Kanchananon. N. (2019). Digital media integrated marketing communication and influence on students’ decision making of a private university in Bangkok and Vicinity. Journal of Communication Arts Review. 23(2), 211–222.
Kerin R.A. & Hartley S.W. (2021). Marketing (15th ed.). McGraw-Hill education. NY.
Kotler P. & Armstrong G. (2018). Principles of Marketing. Global Edition. (17th ed). Pearson Education Limited. UK.
Kotler P. & Keller K. (2016). Marketing Management. Global edition. Pearson Education Limited.
Kurt, D., Inman, J. J., & Argo, J. J. (2011). The influence of friends on consumer spending: the role of agency-communion orientation and self-monitoring. Journal of Marketing Research. 48(4), 741-754.
Leung, L. (2013). Generational differences in content generation in social media: the roles of the gratifications sought and of narcissism. Computers in Human Behavior. 29(3), 997-1006.
Manager Online. (2021). 4 consumer trends in the 2022. Manager Online. https://mgronline.com/business/detail/9640000125226.
Melnyk, V., van Osselaer, S. M. J., & Bijmolt, T. H. A. (2009). Are women more loyal customers than men? gender differences in loyalty to firms and individual service providers. Journal of Marketing. 73(4), 82-96.
Mullasatsarathorn, C., Choknuttakul, K., Thanasansakonphop, N., Taweekul, J., Pibulcharoensit, S., & Duang-Ek-Anong, S. (2020). Factor influencing the customers to use online shopping platform for shopping cosmetics: a case study of people in Bangkok. AU-GSB E-JOURNAL. 13(1), 52-67.
Nantipak. Y. & Campiranon. K. (2020). Factors affecting the purchase decision’s behavior of products in Multi-Brand Store through Instagram of Generation Y Consumers. Rajapark journal. 14(36), 130-146.
Noble, S. M., Griffith, D. A. & Adjei, M. T. (2006). Drivers of local merchant loyalty: understanding the influence of gender and shopping motives. Journal of Retailing. 82(3), 177-188.
Nongyai, P., & Wiroonrath, S. (2019). Guidelines for using marketing mix and social media marketing of small online businesses: a case study of fashion products in the EEC region. Journal of Global Business Review. 21(2), 23-39.
Nurittamont. W., Phayaphrom. B. & Sawatmuang. P. (2020). The Influence of Marketing Communication by Social Media Influencer on Purchasing Decision toward Cosmetic Products for Working Consumers. RMUTI Journal Humanities and Social Sciences. 7(1), 82–98.
Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1990). Delivering quality service: Balancing customer perceptions and expectations. New York: The free press.
Phetsopha. T. & Soonthonsmai. V. (2022). Online marketing mix impacting the decision to purchase products via Facebook of the Laotians in Savannakhet Province Lao People’s Democratic Republic. Journal of Management Science. 11(1), 154-179.
Phongthanapanich P., Thungpothisuwan S., & Rojanaseang C. (2020). The Competitiveness of the Sub district Food Processing Industry (OTOP) in Nonthaburi province. Dhonburi Rajabhat University Journal. 14(2), 114-126.
Phothikitti, K. (2021). Factors impacting on online purchasing behavior toward consumers in Bangkok, Thailand. AU-GSB E-JOURNAL. 13(2), 120-126.
Puntoni S., Reczek R., Giesler M., & Botti S. (2021). Consumers and artificial intelligence: an experiential perspective. Journal of Marketing. 85(1), 131-151.
Putrevu, S. (2004). Communicating with the sexes: male and female responses to print advertisements. Journal of Advertising. 33(3), 51-62.
Santikarn P. (2008). The test of basic assumptions of the path analysis. BU Academic Review, 7(1), 27-45.
Schiffman, L. & Wisenblit, J. (2015). Comsumer behavior. New York: Pearson Education.
Stevens, J. P. (1992). Applied multivariate statistics for the Social Sciences. NJ: Lawrence Erlbaum Associates. Hillsdale.
Uttha P. (2015). The expectation and satisfaction of the staff in the hospital towards medical supply sales representatives on the customer relationship management in Bangkok. [Master’s Thesis]. Thammasat University. http://ethesisarchive.library.tu.ac.th/thesis/2015/ TU_2015_5507011236_3062_2393.
Wu, S. I. (2003), The relationship between consumer characteristics and attitude toward online shopping. Marketing Intelligence and Planning. 21(1), 37-44.