Tạp chí đã xuất bản
2004
ISSN
ISSN 2615-9813
ISSN (số cũ) 1859-3682

SỐ 207 | THÁNG 6/2023

Các yếu tố ảnh hưởng đến hành động mua sắm ngẫu hứng trong sự kiện giảm giá

Lê Thị Thu Thủy, Nguyễn Thị Kim Chi, Nguyễn Thị Như Ý, Mai Yến Hương, Trần Anh Thư

Tóm tắt:

Nghiên cứu này được thực hiện với mục đích tìm ra những yếu tố thu hút người tiêu dùng (NTD) trong các sự kiện giảm giá (SKGG), từ đó đưa ra các giải pháp cũng như định hướng cho các doanh nghiệp kinh doanh trên sàn thương mại điện tử. Các yếu tố Giới hạn về số lượng sản phẩm, Lợi ích kinh tế, Kiến thức về sản phẩm ảnh hưởng đến thái độ và hành động mua sắm trực tuyến ngẫu hứng trong các SKGG. Dữ liệu được thu thập bằng bảng câu hỏi thông qua bảng biểu của Google với sự tham gia của 273 sinh viên tại các trường đại học tại Thành phố Hồ Chí Minh (TP. HCM). Kết quả thu được qua phân tích PLS-SEM so với kết quả của các nghiên cứu trước đây có sự tương đồng và khả quan. Tuy nhiên, sự khác biệt của nghiên cứu này cho thấy yếu tố Kiến thức sản phẩm là yếu tố điều tiết giúp biến Giới hạn về số lượng sản phẩm và Lợi ích kinh tế tác động trực tiếp đến Hành động mua sắm trong SKGG. Từ kết quả này, bài viết có thể đưa ra nhiều giải pháp thu hút NTD hướng tới SKGG nhiều hơn.

 

Tài liệu tham khảo:

  1.  Aggrawal, P., Jun, S. Y., & Huh, J. H. (2011). Scarcity messages-A consumer competition perspective. Journal of Advertising, 40(3), 19-30.
  2. Agrawal, S., & Sareen, S. A. (2016). Flash sales–the game changer in Indian E-commerce industry. International Journal of Advance Research and Innovation, 4(1), 192-195.
  3. Barnes, B., Marshall, G. W., Mitchell, V., Solomon, M. R., & Stuart, E. W. (2009). Marketing, real people, real decisions. Essex: Pearson Education Limited.
  4. Beurer-Zuellig, B., & Seiler, R. (2017). Deal or no deal? - Assessing the daily deal shopper. In Hawaii International Conference on System Sciences (pp. 4108-4117).
  5. Cavana, R., Delahaye, B., & Sekeran, U. (2001). Applied business research: Qualitative and quantitative methods. John Wiley & Sons.
  6. Chopdar, P. K., & Balakrishnan, J. (2020). Consumers response towards mobile commerce applications: SOR approach. International Journal of Information Management, 53, 102106.
  7. Dilme, F., & Li, F. (2012). Revenue management without commitment: Dynamic pricing and periodic fire sales. SSRN Electronic Journal.
  8. Dsilva, H., & Elangovan, N. (2021). Impulsive buying during Flash Sales on ECommerce sites and the Ramification of Flash Sales on Shopping. Ushus Journal of Business Management, 20(4), 27-43.
  9. Fam, K.S., Merrilees, B., Richard, J.E., Jozsa, L., Li, Y., & Krisjanous, J. (2011). In-store marketing a strategic perspective. Asia Pacific Journal of Marketing and Logistics, 23(2), 165-176.
  10. Fu, F. Q., & Elliott, M. T. (2013). The moderating effect of perceived product innovativeness and product knowledge on new product adoption: An integrated model. Journal of Marketing Theory and Practice, 21(3), 257-272.
  11. Guo, J., Xin, L., & Wu, Y. (2017). Arousal or not? The effects of scarcity messages on online impulsive purchase. In HCI in Business, Government and Organizations (pp. 29-40). Springer International Publishing.
  12. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
  13. Hair, J. F., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2016). A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications.
  14. 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.
  15. Hertanto, A. D., & Sulhaini, H. L. E. (2020). Effect of Flash Sale Method, Product Knowledge and in Home Shopping Tendency Toward Consumer Online Purchase Decisions. RJOAS, 6(102), 2020-06.
  16. Kotler, P. & Keller, K.L. (2009). Marketing Management (13rd ed.). Upper Saddle River. N.J.: Pearson Prentice Hall.
  17. Lamis, S. F., Handayani, P. W., & Fitriani, W. R. (2022). Impulse buying during flash sales in the online marketplace. Cogent Business & Management, 9(1), 2068402.
  18. Leischnig, A., Schwertfeger, M., & Geigenmueller, A. (2011). Shopping events, shopping enjoyment, and consumers' attitudes toward retail brands-an empirical examination. Journal of Retailing and Consumer Services, 18(3), 218-223.
  19. Liu, X., Zhou, Y. W., Shen, Y., Ge, C., & Jiang, J. (2021). Zooming in the impacts of merchants’ participation in transformation from online flash sale to mixed sale e-commerce platform. Information & Management, 58(2), 103409.
  20. Liu, Y., Li, Q., Edu, T., Jozsa, L., & Negricea, I. C. (2019). Mobile shopping platform characteristics as consumer behavior determinants. Asia Pacific Journal of Marketing and Logistics, 32(7), 1565–1587.
  21. Lynn, M. (1991). Scarcity effects on value: A quantitative review of the commodity theory literature. Psychology & Marketing, 8(1), 43-57.
  22. Nigam, A., Dewani, P. P., & Behl, A. (2020). Exploring deal of the day: an e-commerce strategy. Benchmarking: An International Journal, 27(10), 2807-2830.
  23. Pasquali, M. (2023). E-commerce worldwide - statistics & facts. Retrieved from https://www.statista.com/topics/871/online-shopping/#topicOverview
  24. Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods40(3), 879-891.
  25. Rahman, M. A., Islam, M. A.. Esha, B. H., Sultana, N., & Chakravorty, S. (2018). Consumer buying behavior towards online shopping: An empirical study on Dhaka city, Bangladesh. Cogent Business & Management, 5(1), 1.
  26. Sinha, P., & Singh, S. (2017). Comparing risks and benefits for the value enhancement of online purchases. Gadjah Mada International Journal of Business, 19(3), 307-326.
  27. Sit, J., & Merrilees, B. (2005). Understanding the experiential consumption of special event entertainment (SEE) at shopping centres: an exploratory study. In Proceedings of the Australian and New Zealand Marketing Academy Conference (ANZMAC 2005) (pp. 115-120). University of Western Australia.
  28. Sumarwan, U. (2011). Perilaku Konsumen, Teori dan Penerapannya. Jakarta: PT Ghalia.
  29. Upadhyay, S. K., Semwal, S., Naik, A., Khan, H., MMM, S., & Vidyavihar, S. (2015). Consumer attitude towards online flash sales and its impact on e-tailing. In 10th SIMSR Global Marketing Conference (pp. 100-108).
  30. Vannisa, D., Fansuri, A., & Ambon, I. M. (2020). The effect of flash sale program on shopping enjoyment and impulse buying on flash sale on C2C E-commerce. International Journal of Scientific and Technology Research, 9(4), 2534-2539.
  31. Yi, S., & Jai, T. (2020). Impacts of consumers’ beliefs, desires and emotions on their impulse buying behavior: Application of an integrated model of belief desire theory of emotion. Journal of Hospitality Marketing and Management, 29(6), 662–681.
  32. Yulianto, Y., Sisko, A., & Hendriana, E. (2021). The stimulus of impulse buying behavior on E-commerce shopping festival: A moderated-mediated analysis. Journal of Business and Management Review, 2(10), 692-714.
  33. Zhang, M., Cheng, T. C. E., & Du, J. (2018). Advance selling of new products to strategic consumers on flash sale platforms. International Journal of Logistics Research and Applications, 21(3), 318-331.
  34. Zheng, X., Liu, N., & Zhao, L. (2013). A Study of the Effectiveness of Online Scarce Promotion-Based on the Comparison of Planned Buying and Unplanned Buying. In Wuhan International Conference on E-Business (p.51).
  35. Zhao, X., & Wan, H. L. (2017). Drivers of online purchase intention on Singles’ Day: A study of Chinese consumers. International Journal of Electronic Marketing and Retailing, 8(1), 1–20.
  36. Zhou, H., & Gu, Z. (2015). The effect of different price presentations on consumer impulse buying behavior: The role of anticipated regret. American Journal of Industrial and Business Management, 5(1), 27–36.


The Effect of Flash Sale Programs on Online Impulse Buying on Flash Sale Events

Abstract:

This study aimed to find out the factors that attract consumers at flash sale events. From the research results, it can provide solutions and orientation for enterprises doing business on e-commerce platforms. Influencing factors include perceived scarcity, economic benefits, and product knowledge that affect attitudes and online impulse buying at flash sale events. Questionnaires collected data through Google Forms with the participation of 273 students in Ho Chi Minh City. The results obtained through PLS-SEM analysis compared with those of previous studies have similar and positive results with the research data. However, the difference in this study shows that the product knowledge factor is the moderating factor helping perceived scarcity and economic benefits that directly affect online impulse buying at flash sale events. From this result, many methods can be devised to attract consumers towards more flash sale events.