The Study of Factors Influencing Online Marketing Communication via Line Application to OTOP Products Purchasing Decisions

Main Article Content

Achaporn Kwangsawad
Aungkana Jattamart

Abstract

Consumer behaviour has changed over time, adapting through the evolution of technologies. The social media platform has nowadays become a new way of communication for online products and services. In order to continue their business, enterprise sectors have to adapt and change according to such behaviour. Particularly, the community enterprises, which are those unskilled entrepreneurs, are further required to develop and strengthen their competitive advantage. This study aims to investigate the factors influencing online marketing communication; and to promote Prachuap Khiri Khan's OTOP products via a line sticker, i.e. a new online marketing communication channel. The causal relationship results of factors were analyzed by using Partial Least Squares Structural Equation Modeling (PLS-SEM) of the SmartPLS 3.3.2 tool. The sample group was 400 line application users, derived through a purposive random sampling technique. The results show that the most influential factor in online marketing communication through line application is the use of line official account, which is statistically significant at the 0.05 level; followed by the line chatbot usage and line sticker usage, respectively. The overall variance of OTOP purchasing decisions is at 78.4%. Furthermore, according to the statistical data collected from the use of the line sticker named "Maekaonline" (which was created and is available on the line's sticker shop) users are most likely to send the stickers, as well as to send the message "Good products of Prachuap Khiri Khan". Therefore, this research result can be used as a guideline in online marketing communication to reach customers.    

Article Details

Section
Research article

References

Angeline, M., Chandra, S., Kinanti, F., Singgih, Y., & Safitri, Y. (2019, August). Digitalize your brand: Case study on how brands utilize social media platforms to achieve branding and marketing goals. In 2019 International Conference on Information Management and Technology (ICIMTech) (Vol. 1, pp. 278-283). IEEE.

Bismo, A., & Putra, S. (2019, August). Application of digital marketing (social media and email marketing) and its impact on customer engagement in purchase intention: a case study at PT. Soltius Indonesia. In 2019 International Conference on Information Management and Technology (ICIMTech) (Vol. 1, pp. 109-114). IEEE.

Chen, C. H., & Chen, Y. W. (2018, April). The study of social media design marketing status. In 2018 IEEE International Conference on Applied System Invention (ICASI) (pp. 807-810). IEEE.

Chumwatana, T., & Chuaychoo, I. (2017, October). Using social media listening technique for monitoring people's mentions from social media: A case study of Thai airline industry. In 2017 2nd International Conference on Knowledge Engineering and Applications (ICKEA) (pp. 103-106). IEEE.

Cronbach, Lee Joseph. (1984). Essential of psychology and education. New York: Mc-Graw Hill.

Electronic Transaction Development Agency: ETDA. (2019). Thailand Internet User Behavior 2019 [Online].

Retrieved June 15, 2020, from: https://www.etda.or.th/publishing-detail/thailand-internet-user-behavior-2019.html

Fan, B., Leng, S., Yang, K., & He, J. (2016). Gathering point-aided viral marketing in decentralized mobile social networks. IEEE Systems Journal, 12(2), 1566-1576.

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

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis 7th Edition Pearson Prentice Hall.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43(1), 115-135.

Jattamart, A., Kwangsawad, A., & Boonkasem, K. (2019, December). Factors influencing the intentions of customer with regard to the use of E-WOM behavior to promote the use of E-commerce websites. In 2019 4th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON) (pp. 1-5). IEEE.

Kemp, S. (2020). Digital 2020 in Thailand [online]. Retrieved June 15, 2020, from: https://datareportal.com/reports/digital-2020-Thailand

Leung, X. Y., Bai, B., & Stahura, K. A. (2015). The marketing effectiveness of social media in the hotel industry: A comparison of Facebook and Twitter. Journal of Hospitality & Tourism Research, 39(2), 147-169.

Likert, R. (1932). A technique for the measurement of attitudes. Archives of psychology.

Marung, U. (2016, December). Improving the performance of the OTOP online marketing. In 2016 International Computer Science and Engineering Conference (ICSEC) (pp. 1-4). IEEE.

Ngamjarussrivichai, P., Jeemali, P., & Panitsettakorn, W. (2018, May). Designing an online marketing investment evaluation system case study of cosmetics manufacturing company. In 2018 5th International Conference on Business and Industrial Research (ICBIR) (pp. 469-474). IEEE.

Pelawi, Y. N., & Aprilia, M. P. (2019, February). Implementation of Marketing Communication Strategy in Attention, Interest, Search, Action, and Share (AISAS) Model through Vlog. In 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS) (pp. 604-607). IEEE.

Roscoe, J. T. (1975). Fundamental research statistics for the behavioral sciences [by] John T. Roscoe.

Shao, P., & Chen, H. (2019).Driving factors for opinion diffusion behavior in consumers on online social networks: A study of network characteristics. IEEE Access, 7, 118509-118518

Siti, R. H. A., Bismo, A., & Sutiyo, L. (2019, August). Segmentation analysis of Instagram Users Based on Preferences towards Forms and Types of Online Marketing Content. In 2019 International Conference on Information Management and Technology (ICIMTech) (Vol. 1, pp. 202-207). IEEE.

Varnalieva, J., & Sarkanjac, S. J. (2016, October). Online marketing—The case of Macedonia. In 2016 International Conference on Information Society (i-Society) (pp. 53-56). IEEE.

Wang, Y., & Wang, Y. (2016, March). Using social media mining technology to assist in price prediction of stock market. In 2016 IEEE International Conference on Big Data Analysis (ICBDA) (pp. 1-4). IEEE.