Factors of the Online Marketing Mix Affecting Brand Perception and Trust for Traditional Fish-Based Food Products through Facebook Fan Pages

Main Article Content

Jittra Punroob
Natthawoot Punroob
Ekachai Duangjai

Abstract

The objective of this research was to examine the relationship between key online marketing mix factors and brand perception in relation to brand trust for traditional fish-based food products promoted through Facebook fan pages in Nan Province. This study used a quantitative research approach and employed structural equation modeling analysis to validate the findings. Data were collected from 400 customers who had experience purchasing traditional fish-based products through Facebook fan pages. The research tool was a 5-point need assessment rating scale questionnaire measuring required competencies, with a Cronbach’s alpha reliability coefficient of 0.96 and an Item-Total Correlation range of 0.81 to 0.88. The collected data was used to calculate percentages, means, and standard deviations, and structural validity analysis and path analysis were performed. The research results revealed that the SEM model included online marketing mix factors, brand perception, and brand trust factors for traditional fish-based products. The analysis of influence paths to validate the three hypotheses found the following: Hypothesis 1: Online marketing mix factors have a positive influence on brand perception (β=0.55, t-value=5.66, p-value=0.00). Hypothesis 2: Online marketing mix factors have a positive influence on brand trust (β=0.45, t-value=5.52, p-value=0.00), and Hypothesis 3: Brand perception has a positive influence on brand trust (β=0.43, t-value=5.52, p-value=0.00). These findings indicate that businesses can effectively use online marketing mix factors to enhance brand perception, which in turn promotes greater brand trust for traditional fish-based products through Facebook fan pages.

Article Details

How to Cite
Punroob, J., Punroob, N., & Duangjai, E. (2025). Factors of the Online Marketing Mix Affecting Brand Perception and Trust for Traditional Fish-Based Food Products through Facebook Fan Pages . Rajabhat Maha Sarakham University Journal, 19(2), 315–327. retrieved from https://so05.tci-thaijo.org/index.php/rmuj/article/view/283167
Section
Research Articles

References

Ahmed, S., Saad, A. T., Chowdhury, S. R., & Islam, M. A. (2024). Impact of marketing mix elements on the brand equity of online food delivery services: An emerging economy perspective. Cogent Business & Management, 11(1), 2380018.https://doi. org/10.1080/23311975.2024.2380018

Ebrahim, R. S. (2019). The Role of Trust in Understanding the Impact of Social Media Marketing on Brand Equity and Brand Loyalty. Journal of Relationship Marketing, 19(3), 1-22. https://doi.org/10. 1080/15332667.2019.1705742

Delgado‐Ballester, E., & Munuera‐Alemán, J. L. (2001). Brand trust in the context of consumer loyalty. European Journal of Marketing, 35(11/12), 1238-1258. https:// doi.org/10.1108/EUM0000000006475

Boone Jr, H. N., & Boone, D. A. (2012). Analyzing Likert Data. Journal of Extension, 50(2). https://doi.org/10.34068/joe.50.02.48

Le Dang Lang. (2013). Impacts of Advertising and Sales Promotion on Brand Equity of Soft Drinks. Journal of Asian Business and Economic Studies, 216, 131-145. https:// doi.org/10.24311/jabes/2013.216.01

Godey, B., Manthiou, A., Pederzoli, D., Rokka, J., Aiello, G., Donvito, R., & Singh, R. (2016). Social media marketing efforts of luxury brands: Influence on brand equity and consumer behavior. Journal of Business Research, 69(12), 5833-5841. https://doi. org/10.1016/j.jbusres.2016.04.181

Grunert, K. G., Bredahl, L., & Brunsø, K. (2004). Consumer perception of meat quality and implications for product development in the meat sector-A review. Meat Science, 66(2), 259-272. https://doi.org/10.1016/S0309-1740(03) 00130-X

Hollebeek, L. D., & Macky, K. (2022). Digital content marketing's role in fostering consumer engagement, trust, and value: Framework, fundamental propositions, and implications. Journal of Interactive Marketing, 45(1), 125-139. https://doi. org/10.1016/j.intmar.2018.07.003

Iglesias, O., Markovic, S., Singh, J. J., & Sierra, V. (2019). Do customer perceptions of corporate services brand ethicality improve brand equity? Considering the roles of brand heritage, brand image, and recognition benefits. Journal of Business Ethics, 154(2), 441-459. https://doi.org /10.1007/s10551-017-3455-0

Jaitly, R. C., & Gautam, O. (2021). Impact of social media influencers on customer engagement and brand perception. International Journal of Internet Marketing and Advertising, 15(2), 135-150. https://doi.org/10.1504/IJIMA.2021. 10036969

Kaczorowska, J., Prandota, A., Rejman, K., Halicka, E., & Tul-Krzyszczuk, A. (2021). Certifi-cation labels in shaping perception of food quality Insights from Polish and Belgian urban consumers. Sustainability, 13(2), 702-714. https://doi.org/10.3390 /su13020702

Kapoor, K. K., Tamilmani, K., Rana, N. P., Patil, P., Dwivedi, Y. K., & Nerur, S. (2018). Advances in social media research: Past, present and future. Information Systems Frontiers, 20(3), 531-558. https://doi.org/ 10.1007/s10796-017-9810-y

Mukherjee, S., & Shivani, S. (2016). Marketing mix influence on service brand equity and its dimensions. Vision, 20(1), 9-23. https:// doi.org/10.1177/0972262916628936

Mela, C. F., Gupta, S., & Lehmann, D. R. (1997). The long-term impact of promotion and advertising on consumer brand choice. Journal of Marketing Research, 34(2), 248-261.https://doi.org/10.2307/3151862

Silva, S. C., Duarte, P., Machado, J. C., & Martins, C. (2020). Cause-related marketing in online environment: The role of brand-cause fit, perceived value, and trust. International Review on Public and Nonprofit Marketing, 17(2), 135-157. https://doi.org/10.1007/s12208-019-00237-z

Susanti, C. E. (2019). The effect of service quality and perceived price fairness on consumer loyalty through consumer satisfaction on budget hotels in East Java. Indian Journal of Science and Technology, 12(6), 1-7. https://doi.org/ 10.17485/ijst/2019/v12i6/141954

Taber, K. T. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48, 1273-1296. https://doi. org/10.1007/s11165-016-9602-2

Yamane, T. (1973). Statistics: An Introductory Analysis. 3rd Edition, Harper and Row, New York.