THE CAUSAL RELATIONSHIP INFLUENCING SOCIAL PRESENCE, TRUST, AND PURCHASE INTENTION THROUGH LIVE COMMERCE
Main Article Content
Abstract
This study aimed to 1) investigate the causal relationships among consumer interactivity, visualization, professionalism, entertainment, social presence, trust, and purchase intention and 2) examine the influence of interactivity, visualization, professionalism, entertainment on social presence, trust and purchase intention. Participants included consumers with experience in purchasing products or services through live commerce in Thailand. The sample size was determined using G*Power at a 95% confidence level, resulting in the collection of data from 200 participants. Multi-stage sampling was employed, and data were collected using questionnaires. The data were subsequently analyzed using descriptive statistics and partial least squares structural equation modeling. Findings revealed that visualization, professionalism, and entertainment exhibited a positive influence on social presence. Interactivity, visualization, and professionalism demonstrated a positive influence on trust. Social presence had a positive influence on trust and purchase intention. Trust possessed a positive influence on purchase intention. However, interactivity did not exert a positive influence on social presence, and entertainment did not positively influence trust. Sellers and businesses engaged in live commerce are encouraged to incorporate these findings when developing sales models to ensure effective responses to stimuli and ultimately increase consumers’ purchase intention.
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References
Bangkokbiznews. (2022). Digital statistics in Thailand. https://www.bangkokbiznews.com/columnist/989552
Busalim, A. H., & Ghabban, F. (2021). Customer engagement behaviour on social commerce platforms: An empirical study. Technology in Society, 64, 101437.
Chen, J., & Liao, J. (2022). Antecedents of viewers’ live streaming watching: A perspective of social presence theory. Frontiers in Psychology, 13, 839629.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. Modern Methods for Business Research, 295(2), 295-336.
Cho, V. (2021). The effectiveness of advertising strategy: The impact of informative and entertainment value on consumer trusts and subsequent engagement. International Journal of Business & Management Studies, 2(7), 46-56.
Diamantopoulos, A., Siguaw, J. A., & Cadogan, J. W. (2000). Export peformance: The impact of cross-country export market orientation. In The American Marketing Association Conference Proceedings (p. 177). American Marketing Association.
Electronic Transactions Development Agency (ETDA). (2020). ETDA reveals that the value of Thai e-commerce in 2020 is at 3.78 trillion baht, expects in the year 64 to rise to 4.01 trillion baht. Ministry of Digital Economy and Society. [in Thai]
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
Garrison, D. R., & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. The Internet and higher education, 10(3), 157-172.
Garson, D. (2009). Partial Least Squares regression (PLS). NC State University.
Guo, L., Hu, X., Lu, J., & Ma, L. (2021). Effects of customer trust on engagement in live streaming commerce: mediating role of swift guanxi. Internet Research, 31(5), 1718-1744.
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management & Data Systems, 117(3), 442-458.
Hassanein, K., & Head, M. (2007). Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping. International Journal of Human-Computer Studies, 65(8), 689-708.
Henseler, J., & Sarstedt, M. (2013). Goodness-of-fit indices for partial least squares path modeling. Computational statistics, 28, 565-580.
Holmes-Smith, P. (2001). Introduction to Structural Equation Modelling using LISREAL. Perth: ACSPRI-Winter training Program.
Huang, Z., Zhu, Y., Hao, A., & Deng, J. (2022). How social presence influences consumer purchase intention in live video commerce: the mediating role of immersive experience and the moderating role of positive emotions. Journal of Research in Interactive Marketing, (ahead-of-print), 1-17.
Kang, K., Lu, J., Guo, L., & Li, W. (2021). The dynamic effect of interactivity on customer engagement behavior through tie strength: Evidence from live streaming commerce platforms. International Journal of Information Management, 56, 102251.
Kline, R. B. (2023). Principles and practice of structural equation modeling. Guilford Publications.
Lakhan, G. R., Ullah, M., Channa, A., Abbas, M., & Khan, M. A. (2021). Factors effecting consumer purchase intention: Live streaming commerce. Psychology and Education, 58(5), 601-611.
Liu, F., Meng, L., Chen, S., & Duan, S. (2020). The impact of network celebrities’ information source characteristics on purchase intention. Chin. J. Manag, 17, 94-104.
Lv, X., Zhang, R., Su, Y., & Yang, Y. (2022). Exploring how live streaming affects immediate buying behavior and continuous watching intention: A multigroup analysis. Journal of Travel & Tourism Marketing, 39(1), 109-135.
Ma, L., Gao, S., & Zhang, X. (2022). How to use live streaming to improve consumer purchase intentions: Evidence from China. Sustainability, 14(2), 1045.
MGR Online. (2020). LIVE selling flourishing products Thai market rises 173%, breaking the record. https://mgronline.com/business/detail/9630000114610 [in Thai]
Nunally, J. C. (1978). Psychometric theory. McGraw-Hil.
Pop, R. A., Hlédik, E., & Dabija, D. C. (2023). Predicting consumers’ purchase intention through fast fashion mobile apps: The mediating role of attitude and the moderating role of COVID-19. Technological Forecasting and Social Change, 186, 122111.
Pratama, M. O., Meiyanti, R., Noprisson, H., Ramadhan, A., & Hidayanto, A. N. (2017). Influencing factors of consumer purchase intention based on social commerce paradigm. In 2017 International Conference on Advanced Computer Science and Information Systems (ICACSIS) (pp. 73-80). IEEE.
Russell, J. A., & Mehrabian, A. (1977). Evidence for a three-factor theory of emotions. Journal of Research in Personality, 11(3), 273-294.
Sahatsapas, T. (2022). Strategies of increasing competitive capability for Thai online business entrepreneurs in the live commerce model. Panyapiwat Journal, 14(2), 44-56
Song, Z., Liu, C., & Shi, R. (2022). How do fresh live broadcast impact consumers’ purchase intention? Based on the SOR theory. Sustainability, 14(21), 14382.
Sürücü, L., & Maslakçi, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694-2726.
Tabachnick, B. G., & Fidell, L. S. (2001). SAS for windows workbook for Tabachnick and Fidell using multivariate statistics. Allyn and Bacon.
Tuncer, I. (2021). The effects of social support, trust and social presence on social commerce intention: A meta-analysis. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, (45), 440-453.
Wang, H., Ding, J., Akram, U., Yue, X., & Chen, Y. (2021). An empirical study on the impact of e-commerce live features on consumers’ purchase intention: From the perspective of flow experience and social presence. Information, 12(8), 324.
Wang, J., Shahzad, F., Ahmad, Z., Abdullah, M., & Hassan, N. M. (2022). Trust and consumers’ purchase intention in a social commerce platform: A meta-analytic approach. Sage Open, 12(2), 1-15.
Wongkitrungrueng, A., & Assarut, N. (2020). The role of live streaming in building consumer trust and engagement with social commerce sellers. Journal of business research, 117, 543-556.
Xue, J., Liang, X., Xie, T., & Wang, H. (2020). See now, act now: How to interact with customers to enhance social commerce engagement? Information & Management, 57(6), 103324.
Zhang, M., Liu, Y., Wang, Y., & Zhao, L. (2022). How to retain customers: Understanding the role of trust in live streaming commerce with a socio-technical perspective. Computers in Human Behavior, 127, 107052.