Cited by 165Consumer Retail Behavior StudiesConsumer Behavior and Marketing InfluenceConsumer Market Behavior and Pricing

A comprehensive study on factors influencing online impulse buying behavior: Evidence from Shopee video platform

Open access
Ngo, Thi Thuy An, Nguyen, Hoang Lan Thanh, Nguyen, Hoang Phi, Mai, Ho Truc Anh, Mai, Thi Huyen Tran, Hoang, Phuoc Long·2024·Heliyon

Abstract

The rapid expansion of online commerce has significantly altered consumer behavior, particularly among digitally-savvy Generation Z individuals. This research analyzes the influence of product presentation videos on online impulsive buying behaviors in this demographic, using the Shopee video platform as a case study. The study aims to investigate how various external factors, including time pressure (TP), quantity pressure (QP), economic benefits (EB), social influence (SI), visual (VS), and sound (SO), affect online impulse buying by mediating emotions of arousal (AR) and pleasure (PL). This study employed a quantitative approach, and data was collected through a Likert scale questionnaire using a non-probability sampling technique. PLS-SEM statistical analysis was utilized to assess the research model, exploring the interplay of these stimuli in shaping impulsive buying behavior on the Shopee platform, among 438 Vietnamese Generation Z. The study's results indicate significant impacts of all factors on arousal, while time pressure, quantity pressure, and economic benefits did not significantly influence pleasure. Notably, arousal and pleasure emerged as mediators shaping impulsive buying decisions among Generation Z. These findings indicate that strategic use of external factors can effectively trigger emotions, leading to impulsive buying among digital natives. This also offers valuable insights for marketers looking to enhance e-commerce strategies on platforms such as Shopee video. Marketers can trigger customers' impulsive buying by creating a sense of urgency (e.g. flash sales, limited quantities), useful online reviewing, and personalizing discounts. Additionally, using visual and sound strategies in a positive online experience can further enhance this behavior and shape preferences. This study's findings contribute to a deeper understanding of consumer behavior theories in the digital era, highlighting the intricate roles of arousal and pleasure in online impulse buying.

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  • AI-PPR has a significant positive effect on perceived usefulness.

    “when AI-PPR significantly reduces search costs and fulfills product needs, they are more likely to perceive a higher level of usefulness, which in turn promotes their online S-BI [37,38].”

    From Exploring the Mechanism of AI-Powered Personalized Product Recommendation on Generation Z Users’ Spontaneous Buying Intention on Short-Form Video Platforms: A Perceived Evaluation Perspective (2025) · cites this paper as [38]

    The Literature review > Online impulse buying discusses personalized recommendations helping shoppers discover products and prompting impulse purchases, but does not link AI-PPR to perceived usefulness. The Results > Structural model results tests arousal, pleasure, and impulse buying rather than that relationship. Searches for AI-PPR, perceived usefulness, search costs, and product needs found no passage addressing the claimed effect; page numbers were unavailable in our copy. (LLM, conf=0.75)

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Research works printed but not linked: 8

  1. [2]How COVID-19 Triggered the Digital and E-Commerce Turning Point,” UNCTAD, Mar. vol. 15, 2021. [Online]. Available: https://unctad.org/news/how-covid-19-triggered-digital-and-e-commerce-turning-point.
  2. [7]Top Marketplace in Southeast Asia,” eCommerceDB, Nov. vol. 29, 2021. [Online]. Available: https://ecommercedb.com/insights/shopee-top-marketplace-in-southeast-asia/4781.
  3. [14]Pangemanan M.J. Lapian S.L.H.V.J. Tumbuan W.J.F.A. Ogi I.W.J. Impulse buying behavior of Z's generation in E-commerce: evidence from North Sulawesi Province European Multidisciplinary Journal of Modern Science 7 Jun. 2022 495 502 [Online]. Available: https://emjms.academicjournal.io/index.php/emjms/article/view/665
  4. [15]Lina Y. Hou D. Ali S. Impact of online convenience on generation Z online impulsive buying behavior: the moderating role of social media celebrity Front. Psychol. 13 Sep. 2022 951249 10.3389/fpsyg.2022.951249 PMC9382081 35992436 · DOI
  5. [94]Hsieh J.-K. Hsieh Y.-C. Chiu H.-C. Yang Y.-R. Customer response to web site atmospherics: task-relevant cues, situational involvement and PAD J. Interact. Market. 28 3 Aug. 2014 225 236 10.1016/j.intmar.2014.03.001 · DOI
  6. [120]Wu Y. Xin L. Li D. Yu J. Guo J. How does scarcity promotion lead to impulse purchase in the online market? A field experiments Inf. Manag. 58 1 2021 103283 10.1016/j.im.2020.103283 · DOI
  7. [146]Chang S.H. Chih W.H. Liou D.K. Hwang L.R. The influence of web aesthetics on customers' PAD Comput. Hum. Behav. 36 2014 168 178 10.1016/j.chb.2014.03.050 · DOI
  8. [150]Chang S.H. Chih W.H. Liou D.K. Hwang L.R. The influence of web aesthetics on customers' PAD Comput. Hum. Behav. 36 5 2014 168 178 10.1016/j.chb.2014.03.050 · DOI

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Authors
Ngo, T. T. A., Nguyen, H. L. T., Nguyen, H. P., Mai, H. T. A., Mai, T. H. T., & Hoang, P. L.
Affiliations
FPT University (VN)
Corresponding author
Ngo, Thi Thuy An
Venue
Heliyon
Publisher
Elsevier BV
Published
2024-08
Volume
10
Issue
15
Pages
e35743
ISSN
2405-8440 (ISSN-L)
OpenAlex
W4401285204
Cited by
73
References
143
Citations by year
2026: 43 · 2025: 28 · 2024: 2
FWCI
33.59
Type
journal article
Language
en
Open access
Locations
  • Heliyon (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Retail Behavior Studies
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior and Marketing Influence
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Market Behavior and Pricing
Keywords
online impulse buying, Generation Z, Shopee, time pressure, economic benefits, social influence, visual cues, acoustic cues, arousal, pleasure, e-commerce, consumer behavior, Vietnamese consumers

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