Main Article Content

Abstract

The development of digital technology has driven changes in consumer behavior in online shopping activities, one of which is through the TikTok Live Shopping feature which is widely used in marketing skincare products. This study aims to analyze the influence of Perceived Enjoyment, Perceived Risk, and Scarcity Message on Impulsive Buying and Purchase Intention on TikTok Live Shopping for skincare products in Gresik, with product categories including facial wash, toner, serum, moisturizer, and sunscreen. This study uses a quantitative approach with a causal associative research type. Data collection was carried out through a survey method using a questionnaire distributed online via Google Form to 219 respondents who had participated in TikTok Live Shopping activities for skincare products. Data analysis was carried out using the Partial Least Square-Structural Equation Modeling (PLS-SEM) method with the help of SmartPLS 4.0 software. The results showed that Perceived Enjoyment and Scarcity Message had an effect on Impulsive Buying and Purchase Intention, respectively. Meanwhile, Perceived Risk had no effect on Impulsive Buying and Purchase Intention. These findings show that emotional experience factors and scarcity messages have an important role in driving consumer behavior on TikTok Live Shopping skincare products.

Keywords

Impulsive Buying Perceived Enjoyment Perceived Risk Purchase Intention Scarcity Message

Article Details

How to Cite
Azizah, S., & Rilantiana, R. (2026). Comparison Of Driving Factors On Impulsive Buying And Purchase Intention : Case Study Of Skincare Products In Tik Tok Live Shopping. Amkop Management Accounting Review (AMAR), 6(1), 23–41. https://doi.org/10.37531/amar.v6i1.3485

References

  1. Aggarwal, P., & Vaidyanathan, R. (2003). Use It or Lose It : Purchase Acceleration Effects of Time-Limited Promotions. https://doi.org/10.1002/cb.116
  2. Aghimien, D., Ikuabe, M., Aghimien, L.M., Aigbavboa, C., Ngcobo, N., & Yankah, J. (2024). PLS-SEM assessment of the impediments of robotics and automation deployment for effective construction health and safety. Journal of Facilities Management, 22(3), 1472–5967. https://doi.org/10.1108/JFM-04-2022-0037
  3. Ajzen, I. (1991). The theory of planned behavior. 0rganizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.47985/dcidj.475
  4. Baeshen, Y.A. (2021). Factors Influencing Consumer Purchase Intention While Buying Online. International Journal of Research -GRANTHAALAYAH, 9(2), 99–107. https://doi.org/10.29121/granthaalayah.v9.i2.2021.3293
  5. Bleier, A., Fossen, B. L., & Shapira, M. (2024). On the role of social media platforms in the creator economy. International Journal of Research in Marketing, 41(3), 411–426. https://doi.org/10.1016/j.ijresmar.2024.06.006
  6. BPS. (2024a). Gresik Regency in Figures 2024 (T. Soebagijo (ed.); Vol. 22).
  7. BPS. (2024b). Proportion of population aged 15-59 years who have accessed the internet in the last 3 months (Percent), 2023. BPS Gresik. https://gresikkab.bps.go.id/en/statistics-table/2/NDU0IzI=/proporsi-penduduk-berumur-15-59-tahun-yang-pernah-mengakses-internet-dalam-3-bulan-terakhir.html
  8. Cialdini, R.B. (2009). Influence The Psychology of Persuasion.
  9. DataIndonesia.id. (2025). List of Countries with the Largest TikTok Users in the World as of April 2025, Indonesia at the Top. https://dataindonesia.id/internet/detail/jajaran-negara-pengguna-tiktok-terbesar-di-dunia-per-april-2025-indonesia-teratas
  10. Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User Acceptance of Computer Technology : A Comparison of Two Theoretical Models. Management Science, 35. https://doi.org/10.1287/mnsc.35.8.982
  11. Ding, S. (2023). Research on the Influence of Promotion Types and Scarcity on Consumers' Purchase Intention in the Context of E ‐ commerce Live Broadcasting. 8(1).
  12. Dodds, W.B., Monroe, K.B., & Grewal, D. (1991). Effects of Price, Brand, and Store Information on Buyers' Product Evaluations. https://doi.org/10.2307/3172866
  13. Gesmundo, MAG, Jordan, MDS, Meridor, WHD, Muyot, Dainielle Vien C. ✉ Castano, MCN, & Bandojo, AJP (2022). TikTok as a Platform for Marketing Campaigns: The effect of Brand Awareness and Brand Recall on the Purchase Intentions of Millennials. Journal of Business and Management Studies, 2709–0876, 344–361. https://doi.org/10.32996/jbms
  14. Ghozali, I., & Kusumadewi, KA (2023). Partial Least Squares Concept, Techniques and Applications Using SmartPLS 4.0 Program for Empirical Research.
  15. Gong, X., & Jiang, X. (2023). Understanding consumer impulse buying in livestreaming commerce: The product involvement perspective. Frontiers in Psychology, 14(March), 1–18. https://doi.org/10.3389/fpsyg.2023.1104349
  16. Hair, JF, Black, WC, Babin, BJ, & Anderson, RE (2010). Multivariate Data Analysis.
  17. Hair, J. F. H., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).
  18. Haryanto, AT (2025). Number of Indonesian Internet Users to Reach 212 Million in 2025. DetikInet. https://inet.detik.com/cyberlife/d-7816040/jumlah-pengguna-internet-indonesia-tembus-212-juta-di-2025
  19. Hong, I. B., & Cha, H. S. (2013). The mediating role of consumer trust in an online merchant in predicting purchase intention. International Journal of Information Management, 33, 927–939.
  20. Imran, M., Asif, M., & Sajjad, W. (2022). IMPACT OF EMPLOYMENT STATUS ON ONLINE SHOPPING PREFERENCES: A CASE STUDY OF WOMEN IN RAWALPINDI. Journal of Business Insight and Innovation, 1(1), 19–28.
  21. Indonesia, A.-Q. (2025). Surat Al-Isra'. PT DALFINDO CIPTA KARYA. https://alquran-indonesia.id/alquran/surat/al-isra/nomersurat/17/al-isra.html
  22. Ismail, KA, & Wahid, NA (2022). THE DRIVERS AND BARRIERS OF ONLINE SHOPPING BEHAVIORS FOR OLDER ADULTS : A REVIEW. INTERNATIONAL JOURNAL OF EDUCATION, PSYCHOLOGY AND COUNSELLING (IJEPC), 7(47), 90 – 103. https://doi.org/10.35631/IJEPC.747009
  23. Kaniati, SP, Sosianika, A., & Setiawati, L. (2024). Factors Driving Consumer Impulse Buying On Fashion Products at Tiktok Live. Journal of Marketing Innovation (JMI), 4(1), 76–92. https://doi.org/10.35313/jmi.v4i1.109
  24. Kim, DJ, Kim, DJ, Ferrin, D.L., & Rao, H.R. (2008). A Trust-Based Consumer Decision-Making Model in Electronic Commerce : The Role of Trust, Perceived Risk, and Their Antecedents A trust-based consumer decision-making model in electronic commerce : The role of trust, perceived risk, and their antecedents. January. https://doi.org/10.1016/j.dss.2007.07.001
  25. Kock, N. (2020). Using indicator correlation fit indices in PLS-SEM : Selecting the algorithm with the best fit. Data Analysis Perspectives Journal, 1(4), 1–4.
  26. KOL.ID. (2025). KOL.ID Report: How Many TikTok Beauty KOLs Are There in Indonesia? https://kol.id/blog/kol-id-report-berapa-banyak-kol-beauty-tiktok-di-indonesia
  27. Kotler, P., & Keller, K. L. (2016). Marketing Management.
  28. Lee, C., & Chen, C. (2021). Impulse Buying Behaviors in Live Streaming Commerce Based on the Stimulus-Organism-Response Framework. 1–17.
  29. Liu, Z. (2025). Beauty in the Digital Age : How Social Media Shapes Gen Z 's Cosmetic Trends, Consumer Behavior, and Its Ethical Concerns. International Conference on Management Research and Economic Development, 68–78. https://doi.org/10.54254/2754-1169/171/2025.21839
  30. Long, J., Zaidin, N., & Mai, X. (2024). Social media influencer streamers and live-streaming shopping: examining consumer behavioral intention through the lens of the theory of planned behavior. Future Business Journal, 10(1), 1–17. https://doi.org/10.1186/s43093-024-00370-0
  31. Marwiyah, SL, Ainulyaqin, MH, & Edy, S. (2023). Analysis of the Influence of Consumptive Behavior and Income Level on Online Shopping on Shopee E-Commerce from an Islamic Economic Perspective. 9(03), 4279–4294.
  32. Maulyda, SN, & Ahadi, MN (2023). THE EFFECT OF SCARCITY MESSAGES AND NETWORK SIZE ON PURCHASE INTENTION OF SKIN CARE PRODUCTS IN TIKTOK LIVE STREAMING. 01(02), 62–71.
  33. Mindiasari, II, Priharsari, D., Setiawan, BD, & Purnomo, W. (2024). Identifying The Influence of Consumer Purchase Intention Through Live Streaming Shopping: A Systematic Literature Review. Journal of Information Technology and Computer Science, 9(1), 22–33. https://doi.org/10.25126/jitecs.202491576
  34. Russell, J. A., & Mehrabian, A. (1977). Evidence for a three-factor theory of emotions. Journal of Research in Personality, 11(3), 273–294. https://doi.org/10.1016/0092-6566(77)90037-X
  35. Schiffman, L.G., Kanuk, L.L., & Hansen, H. (2013). Consumer Behavior.
  36. Sin, PC, & Kembau, USA (2025). Faculty of Social Sciences and Humanities, Digital Business Study Program, Bunda Mulia University – Indonesia. 18(3), 1847–1864.
  37. Siregar, LA, & Firdausy, CM (2024). Perceived Enjoyment, Perceived Risk, and Scarcity Message on Impulsive Buying in Live Shopping in E-Commerce. International Journal of Application on Economics and Business (IJAEB, 2(3), 2987–1972. https://doi.org/10.24912/ijaeb.v2i3.384-393
  38. Song, C., & Liu, Y. (2021). The effect of live-streaming shopping on the consumer's perceived risk and purchase intention in China The effect of live-streaming shopping on the consumer's perceived risk and purchase intention in China Ms. Chuling Song a.
  39. Stern, H. (1962). The Significance of Impulse Buying Today. Journal of Marketing, 1–4.
  40. Sugiyono. (2024). Quantitative, Qualitative, and R&D Research Methods (2nd ed.). ALFABETA.
  41. Yin, J., Huang, Y., & Ma, Z. (2023). Explore the Feeling of Presence and Purchase Intention in Livestream Shopping: A Flow-Based Model. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 237–256. https://doi.org/10.3390/jtaer18010013

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