Developing Digital Marketing to Enhance Business Outcomes of Woven Fabric Entrepreneurs in Uttaradit Province, Thailand.

Authors

  • Kullaya Uppapong Faculty of Management Science, Uttaradit Rajabhat University
  • Kamonwan Mangkang Faculty of Management Science, Uttaradit Rajabhat University
  • Sarana Photchanachan School of Management, Shinawatra University

Keywords:

Digital Marketing, Business Outcome, User Experience, Woven Fabric

Abstract

The objectives of this study were: to study the technology impacts consumer behavior in the digital era;
to propose the guidelines on application of digital marketing for woven fabric groups; and to examine the
digital marketing model towards business outcomes. The research method was conducted by using triangulation
design in order to have an in-depth analyze of data. The first stage, it used questionnaire tool to collect
data. The second stage it identified and searched for in-depth information by using in-depth interview and
focus groups. The final stage, it examined research hypotheses by using the structural equation model.
The findings found that woven fabric groups customers were mostly having the experience of purchase
product online. In addition, content marketing and online advertising were the key influencing factors towards
purchasing decision. For consumer attitudes toward online shopping, products can be purchased at anywhere
and anytime. As a result of application of digital marketing, the research found that Facebook Fan Page
application was the most wanted channel for woven fabric groups. The results of hypotheses testing
found that the digital marketing of woven fabric groups had significantly increased on business outcomes.
In addition, the digital marketing had also significantly increased on users’ experiences. Lastly, good users’
experiences had significantly increased on business outcomes. As a result, digital marketing had both direct
effects and indirect effects on business outcomes. The users’ experiences had a partial mediation in the
relationship between digital marketing and business outcomes.
The results of the study can be applied for developing digital marketing to enhance business
outcomes of woven fabric entrepreneurs in Uttaradit province. Moreover, it will be the model of woven
fabric entrepreneurial business for other provinces, where are interested in developing digital marketing
effectiveness.

References

Anderson, J. C., & Gerbing, D. W. (1984). The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis. Psychometrika, 49(2), 155-173.

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411–423.

Ang, T., Wei, S., & Anaza, N. A. (2018). Livestreaming vs pre-recorded: How social viewing strategies impact consumers’ viewing experiences and behavioral intentions. European Journal of Marketing, 52(9/10), 2075–2104.

Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020). The future of social media in marketing. Journal of the Academy of Marketing Science, 48(1), 79–95.

Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94.

Baron, R., & Kenny, D. (1986). The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.

Bentler, P. M., & Bonett, D. G. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Psychological Bulletin, 88(3), 588–606.

Bollen, K. A. (1989). Structural equations with latent variables. New York: John Wiley & Sons.

Brown, T. A. (2015). Confirmatory factor analysis for applied research. (2nd ed.). New York, NY:The Guilford Press.

Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen & J. S. Long. (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.

Chaffey, D. (2013). Definitions of E-marketing vs Internet vs Digital marketing, Smart Insight Blog. Retrieved from https://www.smartinsights.com/digital-marketing-strategy/online-marketing-mix/definitions-of-emarketing-vs-internet-vs-digital-marketing/

Chen, H., & Lee, Y. J. (2018). Is Snapchat a good place to advertise? How media characteristics influence college-aged young consumers’ receptivity of Snapchat advertising. International Journal of Mobile Communications, 16(6), 697-714.

Cochran, W.G. (1963). Sampling Technique. (2nd ed). New York: John Wiley and Sons Inc.

Comrey, A. L., & Lee, H. B. (1992). A First Course in Factor Analysis. (2nd ed). Hillsdale, NJ: Lawrence Erlbaum.

Creswell, J. W. (2003). Research design: Quantitative, Qualitative, and Mixed Methods approaches. (2nd ed.) Thousand Oaks, CA: Sage.

Dastidar, S. G., & Datta, B. (2009). Demographic Differences in Consumer Exploratory Tendencies: An Empirical. IIMB Management Review, 21(4), 297-312

Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology and Marketing, 20(2), 139–150.

Fornell, C., & Larcker, D.F., (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.

Grewal, D., Hulland, J., Kopalle, P. K., & Karahanna, E. (2020). The future of technology and marketing: A multidisciplinary perspective. Journal of the Academy of Marketing Science, 48(1), 1–8. doi: 10.1007/s11747-019-00711-4

Hair, J, F., Black, W, C., Babin, B, J., Anderson, R, E., & Tatham, R, L. (2006). Multivariate Data Analysis. (6th ed). New Jersey: Pearson Prentice Hall.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis: A global perspective. (7th edition). New Jersey: Pearson Prentice Hall.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An Assessment of the use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science, 40(3), 414-433.

Hellweger, S., & Wang, X. (2014). What is User Experience Really: Towards a UX Conceptual Framework. 4. Retrieved from https://peterme.com/index112498.html.

Hennig-Thurau, T., Malthouse, E. C., Friege, C., Gensler, S., Lobschat, L., Rangaswamy, A., & Skiera, B. (2010). The impact of new media in consumer relationships. Journal of Service Research, 13(3), 311-330.

Hu, L.T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55.

Huang, L. (2012). Social Media as a New Play in a Marketing Channel Strategy: Evidence from Taiwan Travel Agencies’ Blogs. Asia Pacific Journal of Tourism Research, 17(6), 615–634.

Hutchins, J., & Rodriguez, D.X. (2018). The soft side of branding: leveraging emotional intelligence. Journal of Business & Industrial Marketing, 33(1), 117-125.

Hwang, J., Park, S., & Woo, M. (2018). Understanding User Experiences of Online Travel Review Websites for Hotel Booking Behaviours: An Investigation of a Dual Motivation Theory. Asia Pacific Journal of Tourism Research, 23(4), 359–372.

Jöreskorg, K, G., & Sörbom, D. (1997) LISREL 8: A Guide to the Program and Applications. Chicago, IL: SPSS Inc.

Kaldeen, M., & Samsudeen, S. N. (2020). Impact of Knowledge Management Capabilities on Performance of Star Hotels in Sri Lanka. International Journal of Advanced Science and Technology, 29(4), 1102-1112.

Kang, M., & Park, B. (2018). Sustainable Corporate Social Media Marketing Based on Message Structural Features: Firm Size Plays a Significant Role as a Moderator. Sustainability, 10(4), 1167. https://doi.org/10.3390/su10041167

Kannan, P. K., & Li, A. H. (2017). Digital marketing: A framework, review and research agenda. International Journal of Research in Marketing, 34(1), 22–45.

Kemp, S. (2019). Digital around the world in 2019. Retrieved from https://datareportal.com/reports/digital-2019-thailand.

Khankaew, C. (2019). Digital Marketing Strategy and Marketing Performance Evidence from Service Businesses in Thailand. Chulalongkorn Business Review, 41(1), 1-32.

Klein, S. B. (2009). Learning: Principles and applications. (5th ed.). Thousand Oaks, CA: Sage Publications, Inc.

Kotler, P., Armstrong, G., Saunders, J., & Wong, V. (1999). Principles of Marketing. (2nd European ed) NJ: Prentice Hall.

Kotler, P., Kartajaya, H., & Setiawan, I. (2017). Marketing 4.0: Moving from traditional to digital. Hoboken, NJ: Wiley.

Koufaris, M., & Hampton-Sosa, W. (2002). Customer trust online: examining the role of the experience with the Web-site. Department of Statistics and Computer Information Systems Working Paper Series, Zicklin School of Business, Baruch College, City University of New York, New York.

Kusumasondjaja, S., (2019). Exploring the role of visual aesthetics and presentation modality in luxury fashion brand communication on Instagram. Journal of Fashion Marketing and Management: An International Journal, 24(1), 15-31.

Lai, M. S., & Mai, X. H. (2011). Exploring process-oriented user experience in social networking sites. Proceeding of the 7th Joint Conference on Harmonious Human Machine Environment (HHME). Beijing, China.

Li, Y. (2015). Expatriate Manager's Adaption and Knowledge Acquisition. Singapore: Springer. Manju, P., & Kavitha, M. (2021). Digital Marketing and Customer Satisfaction and Customer Satisfaction in Covid-19. Elementary Education Online, 20(5), 2761-2764.

Marsh, H. W., & Hocevar, D. (1985). Application of Confirmatory Factor Analysis to the Study of Self-Concept: First- and Higher Order Factor Models and their Invariance Across Groups. Psychological Bulletin, 97(3), 562–582.

Mogos, I. R. (2015). Digital Marketing for Identifying Customers’ Preferences- A Solution for SMEs in Obtaining Competitive Advantages. International Journal of Economic Practices and Theories, 5(3), 240-247.

Minge, M., & Thüring, M. (2018). Hedonic and pragmatic halo effects at early stages of user experience. International Journal of Human-Computer Studies, 109, 13–25.

Neti, S. (2011). Social media and its role in marketing. International Journal of Enterprise Computing and Business System, 1(2), 1-15.

Nikunen, T., Saarela, M., Oikarinen, E.L., Muhos, M., & Isohella, L. (2017) Micro-Enterprises’ Digital Marketing Tools for Building Customer Relationships. Management, 12(2), 171-188.

Nunnally, J. C. (1978). Psychometric theory. (2nd ed). New York: McGraw-Hill.

Nuseir, M. T. (2018). Impact of misleading/false advertisement to consumer behaviour. International Journal of Economics and Business Research, 16(4), 453-465.

Omar, A. M., & Atteya, N. (2020). The Impact of Digital Marketing on Consumer Buying Decision Process in the Egyptian Market. International Journal of Business and Management, 15(7), 120-132.

Pedersen, P. E., Methlie, L. B., & Thorbjornsen, H. (2002). Understanding mobile commerce end-user adoption: a triangulation perspective and suggestions for an exploratory service evaluation framework. Proceedings of the 35th Annual Hawaii International Conference on System Sciences. Big Island, Hawaii. doi: 10.1109/HICSS.2002.994011.

Pradhan, P., Nigam, D., & Tiwari, C. K. (2018). Digital Marketing and SMEs: An Identification of Research Gap via Archives of Past Research. Journal of Internet Banking and Commerce, 23(1), 1-14.

Puto, C. P., & Wells, W. D. (1984) Informational and Transformational Advertising: The Differential Effects of Time. Advances in Consumer Research, 11, 638-643.

Rauschenberg, M., Schrepp, M., Perez-Cota, M., Olschner, S., & Thomaschewski, J. (2013). Efficient Measurement of the User Experience of Interactive Products. How to use the User Experience Questionnaire (UEQ). Example: Spanish Language Version. International Journal of Interactive Multimedia and Artificial Intelligence, 2(1), 39-45. doi: 10.9781/ijimai.2013.215

Reinartz, W., Krafft, M., & Hoyer, W. D. (2004). The Customer Relationship Management Process: Its Measurement and Impact on Performance. Journal of Marketing Research, 41(3), 293–305.

Rovinelli, R. J., & Hambleton, R. K. (1977). On the use of content specialists in the assessment of criterionreferenced test item validity. Dutch Journal of Educational Research, 2, 49-60.

Ruenrom, G. (2018). The Identification of Research Problems in Digital Marketing for Thailand in the Future. Chulalongkorn Business Review, 40(3), 100-140.

Schrepp, M., Hinderks, A., & Thomaschewski, J., (2017). Die UX KPI - Wunsch und Wirklichkeit. In S. Hess & H. Fischer (Hrsg.), Mensch und Computer 2017 - Usability Professionals. Regensburg: Gesellschaft für Informatik e.V. DOI: 10.18420/muc2017-up-0100

Schumacker, R. E., & Lomax, R. G. (2015). A Beginner’s Guide to Structural Equation Modeling (4th ed.). New York, NY: Routledge.

Sivasankaran, S. (2013). Digital marketing and its impact on buying behaviour of youth. International Journal of Research in Management & Business Studies, 4(3), 35-39.

Tafesse, W., & Wien, A. (2018). Implementing social media marketing strategically: An empirical assessment. Journal of Marketing Management, 34(9–10), 732–749.

Taiminen, H. M., & Karjaluoto, H. (2015). The usage of digital marketing channels in SMEs. Journal of Small Business and Enterprise Development, 22(4), 633-651.

Torwatthanakittikul, W., Phanthanasaewee, S., & Srisuk, N. (2012). The Bank’s digital lifestyle marketing strategy that influences the decision to use the K Plus application of consumers in Bangkok and its surrounding provinces. Journal of Business Administration the Association of Private Higher Education Institutions of Thailand, 9(2), 81-95.

Uppapong, K., Photchanacha, S., & Thechatakerng, P. (2021). Influence of Social Media Customer Relationship Management towards Financial Performance: Empirical Evidence of Spa Business in Thailand. NIDA Business Journal, 28, 51-72.

Verhoef, P. C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J. Q., Fabian, N., & Haenlein, M. (2021). Digital transformation: A multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901.

Vongproamate, D., Limsiriruengrai, P., Lertcharoenwanich, P., & Prasertsri, J. (2019). The Study of The Efficiency and Problems of Using Digital Advertising in The Southern Isaan Silk Weaving Culture on Social Media. Proceedings of the 11th Connecting Local Research to International Perspectives (pp. 1403 – 1409). Retrieved from http://dspace.bru.ac.th/xmlui/handle/123456789/5423

Yuan, K. H., & Bentler, P. M. (2000). Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data. Sociological Methodology, 30, 165-200. doi: 10.1111/0081-1750.00078

Zarour, M., & Alharbi, M. (2017). User experience framework that combines aspects, dimensions, and measurement methods. Cogent Engineering, 4(1), 1-25.

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Published

2022-06-17

How to Cite

Uppapong, K., Mangkang, K., & Photchanachan, S. . (2022). Developing Digital Marketing to Enhance Business Outcomes of Woven Fabric Entrepreneurs in Uttaradit Province, Thailand. Journal of Business Administration The Association of Private Higher Education Institutions of Thailand, 11(1), 175–195. Retrieved from https://so02.tci-thaijo.org/index.php/apheitvu/article/view/255625

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Research Articles