How online shopping festival atmosphere promotes consumer participation in China
Source abstract
Abstract
Abstract Despite the immense success of China’s Double Eleven online shopping festival (OSF), research on how OSFs’ unique atmosphere relates to customer behavior has been scarce. This study investigates the influence of the OSF atmosphere on consumers’ participation behavior based on the stimulus–organism–response framework. Based on the data from 239 young Chinese consumers (in their 20 s and 30 s) and using structural equation modeling, this study explores the influence of three OSF atmosphere types—promotional, entertaining, and social interaction—on consumers’ continuous participation intention. All three types are found to influence consumers’ excitement, which strengthens their continuous participation intention. Additionally, the moderating effect of perceived time pressure is the highest for the relationship between entertaining atmosphere and excitement, followed by that between social interaction atmosphere and excitement. The greater the time pressure perceived by consumers, the stronger is the relationship between entertaining/social interaction atmosphere and excitement. This study bridges the gaps in the literature on atmosphere, consumer sentiment, and festival consumption.
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Research context
OpenAlex topics: Digital Marketing and Social Media · Consumer Behavior in Brand Consumption and Identification · Consumer Retail Behavior Studies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (62)
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1. Ahn, D., & Shin, D. H. (2015). Differential effect of excitement versus contentment, and excitement versus relaxation: Examining the influence of positive affects on adoption of new technology with a Korean sample. Computers in Human Behavior, 50, 283–290. https://doi.org/10.1016/j.chb.2015.03.07210.1016/j.chb.2015.03.072 ↗
2. Akram, U., Hui, P., Khan, M. K., Hashim, M., Qiu, Y., & Zhang, Y. (2017). Online impulse buying on “double eleven” shopping festival: An empirical investigation of utilitarian and hedonic motivations. In J. Xu, M. Gen, A. Hajiyev, & F. Cooke (Eds.), International Conference on Management Science and Engineering Management (pp. 680–692). Springer International Publishing. https://doi.org/10.1007/978-3-319-59280-0_5610.1007/978-3-319-59280-0_56 ↗
3. Alibaba Group. (2021, November 12). Alibaba 2021 11.11 global shopping festival delivers steady growth. https://www.alibabagroup.com/en-US/document-1490858931906412544
4. Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74–94. https://doi.org/10.1007/BF0272332710.1007/BF02723327 ↗
5. Baker, J., & Wakefield, K. L. (2012). How consumer shopping orientation influences perceived crowding, excitement, and stress at the mall. Journal of the Academy of Marketing Science, 40(6), 791–806. https://doi.org/10.1007/s11747-011-0284-z10.1007/s11747-011-0284-z ↗
6. Carnevale, P. J. D., & Lawler, E. J. (1986). Time pressure and the development of integrative agreements in bilateral negotiations. Journal of Conflict Resolution, 30(4), 636–659. https://doi.org/10.1177/002200278603000400310.1177/0022002786030004003 ↗
7. Chen, C., & Li, X. (2019). Effects of Singles’ Day atmosphere stimuli and Confucian values on consumer purchase intention. Asia Pacific Journal of Marketing and Logistics, 32(7), 1387–1405. https://doi.org/10.1108/APJML-05-2019-029410.1108/APJML-05-2019-0294 ↗
8. Chen, C., & Li, X. (2020). The effect of online shopping festival promotion strategies on consumer participation intention. Industrial Management and Data Systems, 120(12), 2375–2395. https://doi.org/10.1108/IMDS-11-2019-062810.1108/IMDS-11-2019-0628 ↗
9. Choo, H., Ahn, K., & Petrick, J. F. (2016). An integrated model of festival revisit intentions: Theory of planned behavior and festival quality/satisfaction. International Journal of Contemporary Hospitality Management, 28(4), 818–838. https://doi.org/10.1108/IJCHM-09-2014-044810.1108/IJCHM-09-2014-0448 ↗
10. Dailey, L. (2004). Navigational web atmospherics. Journal of Business Research, 57(7), 795–803. https://doi.org/10.1016/S0148-2963(02)00364-810.1016/S0148-2963(02)00364-8 ↗
11. Davis, L., Wang, S., & Lindridge, A. (2008). Culture influences on emotional responses to on-line store atmospheric cues. Journal of Business Research, 61(8), 806–812. https://doi.org/10.1016/j.jbusres.2007.08.00510.1016/j.jbusres.2007.08.005 ↗
12. Demangeot, C., & Broderick, A. J. (2010). Consumer perceptions of online shopping environments: A gestalt approach. Psychology and Marketing, 27(2), 117–140. https://doi.org/10.1002/mar.2032310.1002/mar.20323 ↗
13. Donovan, R., & Rossiter, J. (1982). Store atmosphere: An environmental psychology approach. Journal of Retailing, 58(1), 34–57.
14. Duncan Herrington, J., & Capella, L. M. (1995). Shopper reactions to perceived time pressure. International Journal of Retail and Distribution Management, 23(12), 13–20. https://doi.org/10.1108/0959055951010396310.1108/09590559510103963 ↗
15. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing. Journal of Business Research, 54(2), 177–184. https://doi.org/10.1016/S0148-2963(99)00087-910.1016/S0148-2963(99)00087-9 ↗
16. Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology and Marketing, 20(2), 139–150. https://doi.org/10.1002/mar.1006410.1002/mar.10064 ↗
17. Fan, J., Zhou, W., Yang, X., Li, B., & Xiang, Y. (2019). Impact of social support and presence on swift guanxi and trust in social commerce. Industrial Management and Data Systems, 119(9), 2033–2054. https://doi.org/10.1108/IMDS-05-2019-029310.1108/IMDS-05-2019-0293 ↗
18. Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications, 12(6), 425–439. https://doi.org/10.1016/j.elerap.2013.06.00110.1016/j.elerap.2013.06.001 ↗
19. Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), 382–388. https://doi.org/10.1177/00222437810180031310.1177/002224378101800313 ↗
20. Gelbrich, K., & Sattler, B. (2014). Anxiety, crowding, and time pressure in public self-service technology acceptance. Journal of Services Marketing, 28(1), 82–94. https://doi.org/10.1108/JSM-02-2012-005110.1108/JSM-02-2012-0051 ↗
21. Grewal, D., Baker, J., Levy, M., & Voss, G. B. (2003). The effects of wait expectations and store atmosphere evaluations on patronage intentions in service-intensive retail stores. Journal of Retailing, 79(4), 259–268. https://doi.org/10.1016/j.jretai.2003.09.00610.1016/j.jretai.2003.09.006 ↗
22. Ha, Y., & Lennon, S. J. (2011). Consumer responses to online atmosphere: The moderating role of atmospheric responsiveness. Journal of Global Fashion Marketing, 2(2), 86–94. https://doi.org/10.1080/20932685.2011.1059308610.1080/20932685.2011.10593086 ↗
23. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Prentice Hall.
24. Handayani, F., Evelina, L. W., & Tinihada, A. F. (2022). Social network analysis of campaign mobilization of marketplace on Twitter. International Conference on Information Management and Technology (ICIMTech), 2022, 241–245. https://doi.org/10.1109/ICIMTech55957.2022.991526010.1109/ICIMTech55957.2022.9915260 ↗
25. Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach (2nd ed.). Guilford Press.
26. Howard, J. A., & Sheth, J. N. (1969). The theory of buyer behavior. Wiley.
27. Iyer, E. (1989). Unplanned purchasing: Knowledge of shopping environment and time pressure. Journal of Retailing, 65(1), 40–57.
28. Jones, C. L., Minati, L., Harrison, N. A., Ward, J., & Critchley, H. D. (2011). Under pressure: Response urgency modulates striatal and insula activity during decision-making under risk. PLOS ONE, 6(6), Article e20942. https://doi.org/10.1371/journal.pone.002094210.1371/journal.pone.0020942 ↗
29. Kerfoot, S., Davies, B., & Ward, P. (2003). Visual merchandising and the creation of discernible retail brands. International Journal of Retail and Distribution Management, 31(3), 143–152. https://doi.org/10.1108/0959055031046552110.1108/09590550310465521 ↗
30. Kim, H., & Lennon, S. J. (2010). E-atmosphere, emotional, cognitive, and behavioral responses. Journal of Fashion Marketing and Management: An International Journal, 14(3), 412–428. https://doi.org/10.1108/1361202101106186110.1108/13612021011061861 ↗
31. Kotler, P. (1973). Atmospherics as a marketing tool. Journal of Retailing, 49(4), 48–64.
32. Lesser, J. A., & Kamal, P. (1991). An inductively derived model of the motivation to shop. Psychology & Marketing, 8(3), 177–196. https://doi.org/10.1002/mar.422008030410.1002/mar.4220080304 ↗
33. Li, J., Zhu, A., Liu, D., Zhao, W., Zhou, Y., Chen, Y., Liu, Y., & Sun, N. (2020). Sustainability of China’s singles day shopping festivals: Exploring the moderating effect of fairness atmospherics on consumers’ continuance participation. Sustainability, 12(7), Article 2644. https://doi.org/10.3390/su1207264410.3390/su12072644 ↗
34. Liljander, V., & Bergenwall, M. (1999). Consumption-based emotional responses related to satisfaction. Swedish School of Economics and Business.
35. Lin, S. C., Tseng, H. T., Shirazi, F., Hajli, N., & Tsai, P. T. (2022). Exploring factors influencing impulse buying in live streaming shopping: A stimulus-organism-response (SOR) perspective. Asia Pacific Journal of Marketing and Logistics. Advance online publication. https://doi.org/10.1108/APJML-12-2021-090310.1108/APJML-12-2021-0903 ↗
36. Liu, C., Hsieh, A., Lo, S., & Hwang, Y. (2017). What consumers see when time is running out: Consumers’ browsing behaviors on online shopping websites when under time pressure. Computers in Human Behavior, 70, 391–397. https://doi.org/10.1016/j.chb.2016.12.06510.1016/j.chb.2016.12.065 ↗
37. Liu, Y., Li, Q., & Yin, M. (2018). The influence of internet shopping festival atmosphere on consumer impulse buying. Commercial Research, 60(7), 18–23.
38. Loureiro, S. M. C., Almeida, M., & Rita, P. (2013). The effect of atmospheric cues and involvement on pleasure and relaxation: The spa hotel context. International Journal of Hospitality Management, 35, 35–43. https://doi.org/10.1016/j.ijhm.2013.04.01110.1016/j.ijhm.2013.04.011 ↗
39. Lu, C., & Zhuang, X. (2018). Research on the phenomenon of gathering promotion and operation mode under the background of “new retail.” Fujian Forum (humanities and Social Sciences), 9, 45–52.
40. Luo, X. (2005). How does shopping with others influence impulsive purchasing? Journal of Consumer Psychology, 15(4), 288–294. https://doi.org/10.1207/s15327663jcp1504_310.1207/s15327663jcp1504_3 ↗
41. Lyu, J., Krasonikolakis, I., & Vrontis, D. (2022). A systematic literature review of store atmosphere in alternative retail commerce channels. Journal of Business Research, 153, 412–427. https://doi.org/10.1016/j.jbusres.2022.08.05010.1016/j.jbusres.2022.08.050 ↗
42. Maule, A. J., Hockey, G. R., & Bdzola, L. (2000). Effects of time-pressure on decision-making under uncertainty: Changes in affective state and information processing strategy. Acta Psychologica, 104(3), 283–301. https://doi.org/10.1016/S0001-6918(00)00033-010.1016/S0001-6918(00)00033-0 ↗
43. Mazaheri, E., Richard, M., & Laroche, M. (2011). Online consumer behavior: Comparing Canadian and Chinese website visitors. Journal of Business Research, 64(9), 958–965. https://doi.org/10.1016/j.jbusres.2010.11.01810.1016/j.jbusres.2010.11.018 ↗
44. Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.
45. Mummalaneni, V. (2005). An empirical investigation of web site characteristics, consumer emotional states and on-line shopping behaviors. Journal of Business Research, 58(4), 526–532. https://doi.org/10.1016/S0148-2963(03)00143-710.1016/S0148-2963(03)00143-7 ↗
46. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
47. Park, M., Shin, J., & Ju, Y. (2014). Social networking atmosphere and online retailing. Journal of Global Scholars of Marketing Science, 24(1), 89–107. https://doi.org/10.1080/21639159.2013.86768110.1080/21639159.2013.867681 ↗
48. Raghubir, P., & Corfman, K. (1999). When do price promotions affect pretrial brand evaluations? Journal of Marketing Research, 36(2), 211–222. https://doi.org/10.1177/00222437990360020610.1177/002224379903600206 ↗
49. Ranganathan, C. (2012). The role of extrinsic cues in consumer decision process in online shopping environments. Journal of Electronic Commerce in Organizations, 10(1), 52–71. https://doi.org/10.4018/jeco.201201010410.4018/jeco.2012010104 ↗
50. Richard, M. (2005). Modeling the impact of internet atmospherics on surfer behavior. Journal of Business Research, 58(12), 1632–1642. https://doi.org/10.1016/j.jbusres.2004.07.00910.1016/j.jbusres.2004.07.009 ↗
51. Richard, M., Chebat, J., Yang, Z., & Putrevu, S. (2010). A proposed model of online consumer behavior: Assessing the role of gender. Journal of Business Research, 63(9–10), 926–934. https://doi.org/10.1016/j.jbusres.2009.02.02710.1016/j.jbusres.2009.02.027 ↗
52. Russell, J. A. (1979). Affective space is bipolar. Journal of Personality and Social Psychology, 37(3), 345–356. https://doi.org/10.1037/0022-3514.37.3.34510.1037/0022-3514.37.3.345 ↗
53. Russell, J. A., & Barrett, L. F. (1999). Core affect, prototypical emotional episodes, and other things called emotion: Dissecting the elephant. Journal of Personality and Social Psychology, 76(5), 805–819. https://doi.org/10.1037/0022-3514.76.5.80510.1037/0022-3514.76.5.805 ↗
54. Shiv, B., & Fedorikhin, A. (2002). Spontaneous versus controlled influences of stimulus-based affect on choice behavior. Organizational Behavior and Human Decision Processes, 87(2), 342–370. https://doi.org/10.1006/obhd.2001.297710.1006/obhd.2001.2977 ↗
55. Sohn, H., & Lee, T. J. (2017). Tourists’ impulse buying behavior at duty-free shops: The moderating effects of time pressure and shopping involvement. Journal of Travel and Tourism Marketing, 34(3), 341–356. https://doi.org/10.1080/10548408.2016.117065010.1080/10548408.2016.1170650 ↗
56. Tsai, J. L., Sims, T., Qu, Y., Thomas, E., Jiang, D., & Fung, H. H. (2018). Valuing excitement makes people look forward to old age less and dread it more. Psychology and Aging, 33(7), 975–992. https://doi.org/10.1037/pag000029510.1037/pag0000295 ↗
57. Vermeir, I., & Van Kenhove, P. (2005). The influence of need for closure and perceived time pressure on search effort for price and promotional information in a grocery shopping context. Psychology and Marketing, 22(1), 71–95. https://doi.org/10.1002/mar.2004710.1002/mar.20047 ↗
58. Wu, J., Li, Q., & Kee Wei, K. (2016). AliBaba’s IT platform and electronic commerce synergy in driving “Singles’ Day”. Journal of Organizational Computing and Electronic Commerce, 26(3), 193–202. https://doi.org/10.1080/10919392.2016.119405010.1080/10919392.2016.1194050 ↗
59. Wu, W., Lee, C., Fu, C., & Wang, H. (2014). How can online store layout design and atmosphere influence consumer shopping intention on a website? International Journal of Retail and Distribution Management, 42(1), 4–24. https://doi.org/10.1108/IJRDM-01-2013-003510.1108/IJRDM-01-2013-0035 ↗
60. Xu, X., Li, Q., Peng, L., Hsia, T., Huang, C., & Wu, J. (2017). The impact of informational incentives and social influence on consumer behavior during AliBaba’s online shopping carnival. Computers in Human Behavior, 76, 245–254. https://doi.org/10.1016/j.chb.2017.07.01810.1016/j.chb.2017.07.018 ↗
61. Xu, X., Wang, L., & Zhao, K. (2020). Exploring determinants of consumers’ platform usage in “double eleven” shopping carnival in China: Cognition and emotion from an integrated perspective. Sustainability, 12(7), Article 2790. https://doi.org/10.3390/su1207279010.3390/su12072790 ↗
62. Yu, H., Zhang, R., & Liu, B. (2018). Analysis on consumers’ purchase and shopping well-being in online shopping carnivals with two motivational dimensions. Sustainability, 10(12), Article 4603. https://doi.org/10.3390/su1012460310.3390/su10124603 ↗