Consumer’s Personality Trait and Knowledge Sharing Behavior on the Shoppertainment Platform: The Mediating Role of Subjective Well-Being and Trust
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Abstract
This research aimed to analyze the structural equation model and the direct and indirect influences of consumer personality on knowledge-sharing behavior through shoppertainment platforms by using subjective well-being and trust as mediators. It was quantitative research. The instrument was a questionnaire. The sample groups were consumers who had experience purchasing products through the TikTok shop. The 320 samples were selected using purposive sampling methods, and the partial least squares structural equation model analysis was used to test the proposed hypotheses. The results from the structural equation modeling found that extraversion and openness to experiences had a direct positive influence on trust, while neuroticism had a direct negative influence on trust. Extraversion directly and positively influenced subjective well-being, whereas neuroticism had a direct negative influence on subjective well-being. In addition, trust and subjective well-being directly and positively affected knowledge-sharing behavior on the platforms. At the same time, extraversion and openness to experiences positively and indirectly influenced knowledge-sharing behavior on the platform via trust. In contrast, neuroticism negatively and indirectly influenced knowledge-sharing behavior on the platforms through trust. Furthermore, extraversion, openness to experiences, and agreeableness positively and indirectly affected knowledge-sharing behavior on the platforms via subjective well-being. Meanwhile, neuroticism negatively and indirectly influenced knowledge-sharing behavior on the platforms through subjective well-being.
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References
Abdullahi, A. M., Orji, R., Rabiu, A. M., & Kawu, A. A. (2020). Personality and Subjective Well-Being: Towards Personalized Persuasive Interventions for Health and Well-Being. Online journal of public health informatics, 12(1), e1. https://doi.org/10.5210/ojphi.v12i1.10335
Asquith, S. L., Wang, X., Quintana, D. S., & Abraham, A. (2022). The role of personality traits and leisure activities in predicting wellbeing in young people. BMC Psychology, 10(1), 249. https://doi.org/10.1186/s40359-022-00954-x
Bronstein, J., Gazit, T., Perez, O., Bar-Ilan, J., Aharony, N., & Amichai-Hamburger, Y. (2016). An examination of the factors contributing to participation in online social platforms. Aslib Journal of Information Management, 68(6), 793-818. https://doi.org/10.1108/AJIM-05-2016-0059
Chin, W. W. (2010). How to write up and report PLS analyses, in Esposito Vinzi, V., Chin, W. W., Henseler, J., & Wang, H. (Eds), Handbook of Partial Least Squares: Concepts, Methods and Applications, Vol. 2, Springer Handbooks of Computational Statistics Series. Springer, Heidelberg, 655-690.
Costa, P., & McCrae, R. (2002). Personality in Adulthood: A Five-Factor Theory Perspective. Management Information Systems Quarterly - MISQ.https://doi.org/10.4324/9780203428412
Deng, S., Lin, Y., Liu, Y., Chen, X., & Li, H. (2017). How do personality traits shape information-sharing behaviour in social media? Exploring the mediating effect of generalized trust. Information Research, 22(3). http://informationr.net/ir/22-3/paper763.html
Diamantopoulos, A., & Siguaw, J. A. (2006). Formative vs reflective indicators in measure development: does the choice of indicators matter?. British Journal of Management, 13(4). 263-282.
Ebrahimi, P., Hamza, K. A., Gorgenyi-Hegyes, E., Zarea, H., & Fekete-Farkas, M. (2021). Consumer Knowledge Sharing Behavior and Consumer Purchase Behavior: Evidence from E-Commerce and Online Retail in Hungary. Sustainability, 13(18). https://doi.org/10.3390/su131810375
Electronic Transactions Development Agency. (2022, October 10). Thailand Inter User Behavior 2022. https://www.etda.or.th/th/Useful-Resource/publications/iub2022.aspx
Føllesdal, H., & Soto, C. J. (2022). The Norwegian Adaptation of the Big Five Inventory-2 [Original Research]. Frontiers in Psychology, 13. https://www.frontiersin.org/articles/10.3389/fpsyg.2022.858920
Gang, K., & Ravichandran, T. (2015). Exploring the Determinants of Knowledge Exchange in Virtual Communities. IEEE Transactions on Engineering Management, 62(1), 89-99. https://doi.org/10.1109/TEM.2014.2376521
Gazit, T., Aharony, N., & Amichai-Hamburger, Y. (2020). Tell me who you are and I will tell you which SNS you use: SNSs participation. Online Information Review, 44(1), 139-161. https://doi.org/10.1108/OIR-03-2019-0076
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). (2nd ed.). Sage.
Hair Jr., J. F., Black, W.C., Babin, B.J. and Anderson, R.E. (2010). Multivariate Data Analysis: A Global Perspective. Pearson Education.
Hamza, M. A., Rehman, S., Sarwar, A., & Choudhary, K. N. (2023). Is knowledge a tenement? The mediating role of team member exchange over the relationship of big five personality traits and knowledge-hiding behavior. VINE Journal of Information and Knowledge Management Systems, 53(1), 166-186. https://doi.org/10.1108/VJIKMS-05-2020-0084
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. In R. R. Sinkovics & P. N. Ghauri (Eds.), New Challenges to International Marketing, 20. (pp. 277-319). Emerald Group Publishing Limited. https://doi.org/10.1108/S1474-7979(2009)0000020014
Hung, S.-Y., Lai, H.-M., & Chou, Y.-C. (2015). Knowledge-sharing intention in professional virtual communities: A comparison between posters and lurkers. Journal of the Association for Information Science and Technology, 66(12), 2494-2510. https://doi.org/10.1002/asi.23339
Jami, M. P., & Taheri, F. (2019). Personality traits and knowledge sharing behavior in social media: Mediating role of trust and subjective well-being. On the Horizon, 27(2), 98–117. https://doi.org/10.1108/OTH-03-2019-0012
Lönnqvist, J.-E., & große Deters, F. (2016). Facebook friends, subjective well-being, social support, and personality. Computers in Human Behavior, 55, 113-120. https://doi.org/10.1016/j.chb.2015.09.002
Ma, W., & Chan, A. (2014). Knowledge sharing and social media: Altruism, perceived online attachment motivation, and perceived online relationship commitment. Computers in Human Behavior, 39, 51–58. https://doi.org/10.1016/j.chb.2014.06.015
Marbach, J., Lages, C. R., & Nunan, D. (2016). Who are you and what do you value? Investigating the role of personality traits and customer-perceived value in online customer engagement. Journal of Marketing Management, 32(5-6), 502-525. https://doi.org/10.1080/0267257X.2015.1128472
Mathur, M., Lawrence, D., & Chakravarty, A. (2023). Leveraging consumer personality and social media marketing to improve a brand's social media equity. International Journal of Consumer Studies, 47(3), 1076-1094. https://doi.org/10.1111/ijcs.12888
Moore, K., & Craciun, G. (2020). Fear of Missing Out and Personality as Predictors of Social Networking Sites Usage: The Instagram Case. Psychological Reports, 124(4), 1761-1787. https://doi.org/10.1177/0033294120936184
Patel, R., Bhatt, V., Thomas, S., Trivedi, T., & Pandey, S. (2023). Predicting the cause-related marketing participation intention by examining big-five personality traits and moderating role of subjective happiness. International Review on Public and Nonprofit Marketing. https://doi.org/10.1007/s12208-023-00371-9
Pentina, I., & Zhang, L. (2017). Effects of social support and personality on emotional disclosure on Facebook and in real life. Behaviour & Information Technology, 36(5), 484-492. https://doi.org/10.1080/0144929X.2016.1258086
Renqiang, X., & Wende, Z. (2022). An empirical study on the impact of platform environmental factors on knowledge sharing in virtual communities. Technology in Society, 71, 102094.
Rovinelli, R.J., & Hambleton, R.K. (1977). On the Use of Content Specialists in the Assessment of Criterion-Referenced Test Item Validity. Tijdschrift Voor Onderwijs Research, 2, 49-60.
Shwartz-Asher, D., Chun, S., Adam, N. R., & Snider, K. L. G. (2020). Knowledge sharing behaviors in social media. Technology in Society, 63, 101426. https://doi.org/10.1016/j.techsoc.2020.101426
Sorrel, M. A., García, L. F., Aluja, A., Rolland, J. P., Rossier, J., Roskam, I., & Abad, F. J. (2021). Cross-Cultural Measurement Invariance in the Personality Inventory for DSM-5✰. Psychiatry Research, 304, 114134. https://doi.org/10.1016/j.psychres.2021.114134
statista.com. (2023, May 11) Countries with the largest TikTok audience as of April 2023(in millions). https://www.statista.com/statistics/1299807/number-of-monthly-unique-tiktok-users/#:~:text=As%20of%20January%202022%2C%20The,TikTok%20to%20watch%20short%2Dvideos.
Tang, J.; Zhang, B.; Xiao, S. (2022). Examining the Intention of Authorization via Apps: Personality Traits and Expanded Privacy Calculus Perspectives. Behavioral Sciences, 12(7), 218. https://doi.org/10.3390/bs12070218
tiktok.com. (2022, August, 23). TikTok-BCG study finds Shoppertainment to be the next USD 1 trillion opportunity for Asia Pacific. https://newsroom.tiktok.com/en-sg/future-of-commerce-apac
Wei, L., & Gao, F. (2017). Social media, social integration and subjective well-being among new urban migrants in China. Telematics and Informatics, 34(3), 786-796. https://doi.org/10.1016/j.tele.2016.05.017
Wen, P., & Wang, R. (2022). Does knowledge structure matter? Key factors influencing formal and informal knowledge sharing in manufacturing. Journal of Knowledge Management, 26(9), 2275-2305. https://doi.org/10.1108/JKM-06-2021-0478
Yasin, M., Porcu, L., Abusharbeh, M. T., & Liébana-Cabanillas, F. (2020). The impact of customer personality and online brand community engagement on intention to forward company and users generated content: palestinian banking industry a case. Economic Research-Ekonomska Istraživanja, 33(1), 1985-2006. https://doi.org/10.1080/1331677X.2020.1752277
Yen, C., & Valentine, E. (2022). Building Caregivers' Social Support on Social Network Sites Through Online Support Groups. Cyberpsychology, Behavior, and Social Networking, 26(1), 57-64. https://doi.org/10.1089/cyber.2022.0094
Zhang, B., Li, Y. M., Li, J., Luo, J., Ye, Y., Yin, L., & John, O. P. (2021). The Big Five Inventory–2 in China: A Comprehensive Psychometric Evaluation in Four Diverse Samples. Assessment, 29(6), 1262-1284. https://doi.org/10.1177/10731911211008245
Zhang, T., Tao, D., Qu, X., Zhang, X., Zeng, J., Zhu, H., & Zhu, H. (2020). Automated vehicle acceptance in China: Social influence and initial trust are key determinants. Transportation Research Part C: Emerging Technologies, 112, 220–233. https://doi.org/10.1016/j.trc.2020.01.027.
Ziyuan Li, Zhi Lin, & Jinghong Nie. (2022). How Personality and Social Capital Affect Knowledge Sharing Intention in Online Health Support Groups?: A Person-Situation Perspective, International Journal of Human–Computer Interaction, 38(10), 885-896, https://doi.org/10.1080/10447318.2021.1976508