Open Journal Systems

Impact of para-social interaction on impulsive buying through live-streaming shopping website

Nurkhalida Makmor, Khalilah Abd Hafiz, Aimi Anuar, Fahimi Sofian

Article ID: 2089
Vol 9, Issue 5, 2024, Article identifier:

VIEWS - 969 (Abstract) 520 (PDF)

Abstract

Nowadays, the capability of live-streaming commerce has contributed to billions of income worldwide. Within a few hours of live-streaming, it has transformed the nascent of commercial value interaction into impulsive buying behaviour. Despites, the existing knowledge on this is unknown. This research seeks to understand the influence of para social interaction (PSI) in live-streaming shopping affects consumers impulsive buying in live-streaming platforms using the Stimulus Organism Response (SOR). A self-administrative questionnaire survey was conducted, and 335 valid responses are useable. The survey was validated by using Smart PLS technique to conduct direct and mediating effects. The result revealed that the relationships between social commerce, social presence, narrative involvement, parasocial interaction, and impulsive buying behaviour are significant. The parasocial interaction acts as mediation effect between the social factors, and impulsive buying on the live-streaming website. Based on the data analysed, the new proposed framework seems to be shaped very well. Despite the fact that, further extension and integration constructs, this study serves as a new contribution particularly in the live-streaming platforms area of studies.


Keywords

live-streaming platforms; narrative involvement; para-social interaction

Full Text:

PDF



References

1. Abdelsalam S, Salim N, Alias RA, et al. Understanding Online Impulse Buying Behavior in Social Commerce: A Systematic Literature Review. IEEE Access. 2020, 8: 89041-89058. doi: 10.1109/access.2020.2993671

2. Adelaar T, Chang S, Lancendorfer KM, et al. Effects of Media Formats on Emotions and Impulse Buying Intent. Journal of Information Technology. 2003, 18(4): 247-266. doi: 10.1080/0268396032000150799

3. Akram U, Hui P, Khan M, et al. Factors Affecting Online Impulse Buying: Evidence from Chinese Social Commerce Environment. Sustainability. 2018, 10(2): 352. doi: 10.3390/su10020352

4. Block LG, Morwitz VG. Shopping Lists as an External Memory Aid for Grocery Shopping: Influences on List Writing and List Fulfillment. Journal of Consumer Psychology. 1999, 8(4): 343-375. doi: 10.1207/s15327663jcp0804_01

5. Chen X, Lee TJ, Hyun SS. How does a global coffeehouse chain operate strategically in a traditional tea-drinking country? The influence of brand authenticity and self-enhancement. Journal of Hospitality and Tourism Management. 2022, 51: 176-186. doi: 10.1016/j.jhtm.2022.03.003

6. Cho HC, Abe S. Is two-tailed testing for directional research hypotheses tests legitimate? Journal of Business Research. 2013, 66(9): 1261-1266. doi: 10.1016/j.jbusres.2012.02.023

7. Cheng HH. The Effects of Product Stimuli and Social Stimuli on Online Impulse Buying in Live Streams. Proceedings of the 7th International Conference on Management of e-Commerce and e-Government. Published online July 2020. doi: 10.1145/3409891.3409895

8. Comrey AL, Lee HB. A first course in factor analysis (2nd ed.). Lawrence Erlbaum Associates, Inc. 1992.

9. Durbin J, Watson GS. Testing for serial correlation in least sqares regression. Biometrika. 1951. 38(1/2), 159-177. doi:10.2307/2332325

10. Fu JR, Hsu CW. Live-streaming shopping: the impacts of para-social interaction and local presence on impulse buying through shopping value. Industrial Management & Data Systems. 2023, 123(7): 1861-1886. doi: 10.1108/imds-03-2022-0171

11. Gao W, Liu Z, Li J. How does social presence influence SNS addiction? A belongingness theory perspective. Computers in Human Behavior. 2017, 77: 347-355. doi: 10.1016/j.chb.2017.09.002

12. Green MC, Brock TC. The role of transportation in the persuasiveness of public narratives. Journal of Personality and Social Psychology. 2000, 79(5): 701-721. doi: 10.1037/0022-3514.79.5.701

13. Hair JF, Black WC, Babin BJ, Anderson RE. Multivariate data analysis. Pearson Education International. 2010.

14. Hair JF, Ringle CM, Sarstedt M. PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice. 2011, 19(2): 139-152. doi: 10.2753/mtp1069-6679190202

15. Hallanan L. Live-streaming Drives $6 Billion USD in Sales During the 11.11 Global Shopping Festival. Forbes. 2020.

16. Harman HH. Modern Factor Analysis. University of Chicago Press. 1976.

17. Hawkins RJ, Swanson B, Kremer MJ, et al. Content Validity Testing of Questions for a Patient Satisfaction With General Anesthesia Care Instrument. Journal of PeriAnesthesia Nursing. 2014, 29(1): 28-35. doi: 10.1016/j.jopan.2013.05.011

18. Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science. 2014, 43(1): 115-135. doi: 10.1007/s11747-014-0403-8

19. Vazquez D, Wu X, Nguyen B, et al. Investigating narrative involvement, parasocial interactions, and impulse buying behaviours within a second screen social commerce context. International Journal of Information Management. 2020, 53: 102135. doi: 10.1016/j.ijinfomgt.2020.102135

20. Horton D, Wohl RR. Mass Communication and Para-Social Interaction. Psychiatry. 1956, 19(3): 215-229. doi: 10.1080/00332747.1956.11023049

21. Huo C, Wang X, Sadiq MW, et al. Exploring Factors Affecting Consumer’s Impulse Buying Behavior in Live-Streaming Shopping: An Interactive Research Based Upon SOR Model. SAGE Open. 2023, 13(2): 215824402311726. doi: 10.1177/21582440231172678

22. Ismail MN. Two lessons from the COVID-19 pandemic: Be debtfree and have a financial buffer. Available online: https://www.astroawani.com/berita-malaysia/two-lessons-covid19pandemic-be-debtfree-and-have-financial-buffer-237874 (accessed on 1 December 2023).

23. Joshi Y, Lim WM, Jagani K, et al. Social media influencer marketing: foundations, trends, and ways forward. Electronic Commerce Research. Published online June 25, 2023. doi: 10.1007/s10660-023-09719-z

24. Kline R. Principles and practice of structural equation modeling. 1998.

25. Kurtin KS, Roy D, Dam L. The Development of Parasocial Relationships on YouTube. The Journal of Social Media in Society,. 2018, 7(1): 233-252.

26. Short J, Williams E, Christie B. The social psychology of telecommunications. Wiley Publishing. 1976.

27. Lee CM, Giles H. Attraction in Context: How Contextual Differences in Personal and Social Attraction Affect Communication Accommodation Behavior. Pyschology. 2008, 22-26.

28. Lee CH, Chen CW. Impulse Buying Behaviors in Live Streaming Commerce Based on the Stimulus-Organism-Response Framework. Information. 2021, 12(6): 241. doi: 10.3390/info12060241

29. Lee EJ. Effectiveness of Politicians’ Soft Campaign on Twitter Versus TV: Cognitive and Experiential Routes. Journal of Communication. Published online August 2013: n/a-n/a. doi: 10.1111/jcom.12049

30. Lewis JR. Multipoint scales: Mean and median differences and observed significance levels. International Journal of Human-Computer Interaction. 1993, 5(4): 383-392. doi: 10.1080/10447319309526075

31. Lo PS, Dwivedi YK, Wei-Han Tan G, et al. Why do consumers buy impulsively during live streaming? A deep learning-based dual-stage SEM-ANN analysis. Journal of Business Research. 2022, 147: 325-337. doi: 10.1016/j.jbusres.2022.04.013

32. Parsad C, Prashar S, Vijay TS, et al. Do promotion and prevention focus influence impulse buying: The role of mood regulation, shopping values, and impulse buying tendency. Journal of Retailing and Consumer Services. 2021, 61: 102554. doi: 10.1016/j.jretconser.2021.102554

33. Rook DW, Fisher RJ. Normative Influences on Impulsive Buying Behavior. Journal of Consumer Research. 1995, 22(3): 305. doi: 10.1086/209452

34. Saleh K. The state of impulse buying persona—statistics and trends. Available online: https://www.invespcro.com/blog/impulse-buying/ (accessed on 1 December 2023).

35. Hair JF, Ringle CM, Sarstedt M. PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice. 2011, 19(2): 139-152. doi: 10.2753/mtp1069-6679190202

36. Sohn YS, Ko MT. The impact of planned vs. unplanned purchases on subsequent purchase decision making in sequential buying situations. Journal of Retailing and Consumer Services. 2021, 59: 102419. doi: 10.1016/j.jretconser.2020.102419

37. Stever GS. Parasocial and social interaction with celebrities: Classification of media fans. Journal of Media Psychology. 2009, 14(3): 1-39.

38. Su BC, Wu LW, Chang YYC, et al. Influencers on Social Media as References: Understanding the Importance of Parasocial Relationships. Sustainability. 2021, 13(19): 10919. doi: 10.3390/su131910919

39. Sun Y, Shao X, Li X, et al. How live streaming influences purchase intentions in social commerce: An IT affordance perspective. Electronic Commerce Research and Applications. 2019, 37: 100886. doi: 10.1016/j.elerap.2019.100886

40. Durbin J, Watson GS. Testing for serial correlation in least sqares regression. Biometrika. 1951. 38(1/2), 159-177. doi:10.2307/2332325

41. P. M. Podsakoff and D. W. Organ, “Journal of Management,” 1986, doi: 10.1177/014920638601200408.

42. Vatcheva KP, Lee M. Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies. Epidemiology: Open Access. 2016, 06(02). doi: 10.4172/2161-1165.1000227

43. Ramayah T, Cheah J, Chuah F, et al. Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3.0. Pearson Malaysia Sdn Bhd. Available online: https://www.researchgate.net/publication/312460772_Partial_Least_Squares_Structural_Equation_Modeling_PLS-SEM_using_SmartPLS_30_An_Updated_and_Practical_Guide_to_Statistical_Analysis (accessed on 1 December 2023).

44. Praesri S, Meekun K, Lee TJ, et al. Marketing mix factors and a business development model for street food tourism. Journal of Hospitality and Tourism Management. 2022, 52: 123-127. doi: 10.1016/j.jhtm.2022.06.007

45. Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods. 2008, 40(3): 879-891. doi: 10.3758/brm.40.3.879

46. Schartel Dunn SG. Parasocial Interaction and Narrative Involvement as Predictors of Attitude Change. Western Journal of Communication. 2017, 82(1): 117-133. doi: 10.1080/10570314.2017.1339230


DOI: https://doi.org/10.54517/esp.v9i5.2089
(969 Abstract Views, 520 PDF Downloads)

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Nurkhalida Makmor, Khalilah Abd Hafiz, Aimi Anuar, Fahimi Sofian

License URL: https://creativecommons.org/licenses/by/4.0/