Các yếu tố nhận thức và cảm xúc thúc đẩy hành vi mua sắm bốc đồng trực tuyến trong trải nghiệm dòng chảy
Published: July 26, 2026
Abstract
Nghiên cứu này khám phá mối quan hệ giữa trải nghiệm dòng chảy (flow experience), trải nghiệm người dùng (bao gồm yếu tố cảm xúc và nhận thức), và hành vi mua sắm bốc đồng trực tuyến. Sử dụng mô hình phương trình cấu trúc PLS-SEM trên dữ liệu thu thập từ 560 người tiêu dùng trực tuyến, kết quả cho thấy trải nghiệm dòng chảy có tác động tích cực đến cả trải nghiệm cảm xúc và trải nghiệm nhận thức của người dùng. Các trải nghiệm này lần lượt ảnh hưởng đáng kể đến hành vi mua sắm bốc đồng, trong đó trải nghiệm nhận thức có tác động mạnh nhất. Kết quả nghiên cứu góp phần phát triển lý thuyết về dòng chảy trong bối cảnh mua sắm kỹ thuật số, đồng thời đưa ra các hàm ý thực tiễn trong việc nâng cao mức độ tương tác của người dùng và tối ưu hóa thiết kế giao diện nhằm thúc đẩy hành vi mua sắm bốc đồng.
Keywords
trải nghiệm dòng chảytrải nghiệm cảm xúctrải nghiệm nhận thứcmua sắm trực tuyến theo cảm tínhthương mại điện tửPLS-SEM
References
1.
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 665-694.
2.
Bao, Z., & Yang, J. (2022). Why online consumers have the urge to buy impulsively: Roles of serendipity, trust and flow experience. Management Decision, 60(12), 3350-3365. https://doi.org/10.1108/MD-07-2021-0900
Caber, M., Tahir, A., Sezer, K., & González-Rodríguez, M. R. (2024). Building customer citizenship behaviour through mobile application quality: The mediating role of flow experience and customer engagement. Current Issues in Tourism, 27(18), 2918-2933. https://doi.org/10.1080/13683500.2023.2241606
Csikzentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. Harper & Row.
5.
Dawson, S., & Kim, M. (2009). External and internal trigger cues of impulse buying online. Direct Marketing: An International Journal, 3(1), 20-34. https://doi.org/10.1108/17505930910945714
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150. https://doi.org/10.1002/mar.10064
Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 19(4), 440-452. https://doi.org/10.1177/002224378201900406
Gao, L., Bai, X., & Park, A. (2017). Understanding sustained participation in virtual travel communities from the perspectives of IS success model and flow theory. Journal of Hospitality & Tourism Research, 41(4), 475-509. https://doi.org/10.1177/1096348014563397
García-Jurado, A., Castro-González, P., Torres-Jiménez, M., & Leal-Rodríguez, A. L. (2019). Evaluating the role of gamification and flow in e-consumers: Millennials versus Generation X. Kybernetes, 48(6), 1278-1300. https://doi.org/10.1108/K-07-2018-0350
Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128(4), 381-391. https://doi.org/10.1080/00223980.1994.9712742
Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203
Hassenzahl, M. (2010). Experience Design: Technology for All the Right Reasons. Morgan & Claypool Publishers.
13.
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. https://doi.org/10.1007/s11747-014-0403-8
Hoffman, D. L., & Novak, T. P. (1996). Marketing in Hypermedia Computer-Mediated Environments: Conceptual Foundations. Journal of Marketing, 60(3), 50-68. https://doi.org/10.1177/002224299606000304
Hsu, C.-L., & Lu, H.-P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, 41(7), 853-868. https://doi.org/10.1016/j.im.2003.08.014
Hyun, H., Thavisay, T., & Lee, S. H. (2022). Enhancing the role of flow experience in social media usage and its impact on shopping. Journal of Retailing and Consumer Services, 65, 102492. https://doi.org/10.1016/j.jretconser.2021.102492
Jackson, S. A., & Eklund, R. C. (2002). Assessing flow in physical activity: The Flow State Scale-2 and Dispositional Flow Scale-2. Journal of Sport and Exercise Psychology, 24(2), 133-150. https://doi.org/10.1123/jsep.24.2.133
Mandolfo, M., Debora, B., Lucio, L., & Noci, G. (2022). Influence of sales promotion on impulse buying: A dual process approach. Journal of Promotion Management, 28(8), 1212-1234. https://doi.org/10.1080/10496491.2022.2060415
Mehrabian, A. (1974). An Approach to Environmental Psychology. Massachusetts Institute of Technology.
20.
Mehrabian, A., & Russell, J. A. (1974). The basic emotional impact of environments. Perceptual and Motor Skills, 38(1), 283-301. https://doi.org/10.2466/pms.1974.38.1.283
Ming, J., Jianqiu, Z., Bilal, M., Akram, U., & Fan, M. (2021). How social presence influences impulse buying behavior in live streaming commerce? The role of S-O-R theory. International Journal of Web Information Systems, 17(4), 300-320. https://doi.org/10.1108/IJWIS-02-2021-0012
Novak, T. P., Hoffman, D. L., & Duhachek, A. (2003). The influence of goal-directed and experiential activities on online flow experiences. Journal of Consumer Psychology, 13(1-2), 3-16. https://doi.org/10.1207/S15327663JCP13-1&2_13
Onofrei, G., Filieri, R., & Kennedy, L. (2022). Social media interactions, purchase intention, and behavioural engagement: The mediating role of source and content factors. Journal of Business Research, 142, 100-112. https://doi.org/10.1016/j.jbusres.2021.12.031
Rook, D. W., & Fisher, R. J. (1995). Normative influences on impulsive buying behavior. Journal of Consumer Research, 22(3), 305-313. https://doi.org/10.1086/209452
Rose, S., Clark, M., Samouel, P., & Hair, N. (2012). Online customer experience in e-retailing: An empirical model of antecedents and outcomes. Journal of Retailing, 88(2), 308-322. https://doi.org/10.1016/j.jretai.2012.03.001
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial least squares structural equation modeling. In Handbook of Market Research (pp. 587-632). Springer. https://doi.org/10.1007/978-3-319-57413-4_15
Verhagen, T., & van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48(8), 320-327. https://doi.org/10.1016/j.im.2011.08.001
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063. https://doi.org/10.1037/0022-3514.54.6.1063