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Journals / JOEEP: Journal of Emerging Economies and Policy / 2026 / Cilt: 10 Sayı: 1

Factors Influencing E-impulse buying behaviour: The Mediating Role of Utilitarian and Hedonic Browsing

E-plansız Satın Alma Davranışına Etki Eden Faktörler: Faydacı ve Hazcı Taramanın Aracılık Rolü

Aytaç Erdem(GİRESUN ÜNİVERSİTESİ)0000-0003-3084-520X
Pages
466–477
Publication Date
2025-06-30
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The findings indicate that social influence significantly affects e-impulse buying and hedonic browsing, but not utilitarian browsing.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study explores the effects of deal proneness, consumer mood, and social influence on e-impulse buying.
📊
Key Findings & Data:Data from 377 participants were analyzed using structural equation modeling.
💡
Conclusion & Impact:The findings indicate that social influence significantly affects e-impulse buying and hedonic browsing, but not utilitarian browsing.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:E-plansız Satın Alma · Tüketici Ruh Hâli · Sosyal Etki

Abstract

This study explores the effects of deal proneness, consumer mood, and social influence on e-impulse buying. It also investigates whether hedonic and utilitarian browsing mediate these relationships. Data from 377 participants were analyzed using structural equation modeling. The findings indicate that social influence significantly affects e-impulse buying and hedonic browsing, but not utilitarian browsing. Deal proneness has a significant impact on e-impulse buying and utilitarian browsing, while it does not significantly affect hedonic browsing. Consumer mood significantly influences e-impulse buying, utilitarian browsing, and hedonic browsing. Additionally, utilitarian browsing partially mediates the relationship between deal proneness and e-impulse buying, and hedonic browsing partially mediates the effect of social influence and consumer mood on e-impulse buying.

Özet

Bu çalışma, fırsatlara eğilim, tüketici ruh hâli ve sosyal etkinin e-plansız satın alma üzerindeki etkilerini incelemektedir. Ayrıca, hedonik ve faydacı gezinmenin bu ilişkilerde aracılık rolüne sahip olup olmadığı araştırılmaktadır. 377 katılımcıdan elde edilen verilerin analizinde yapısal eşitlik modellemesi kullanılmıştır. Bulgular, sosyal etkinin e-plansız satın alma ve hedonik gezinme üzerinde önemli bir etkisi olduğunu, ancak faydacı gezinme üzerinde etkili olmadığını göstermektedir. Fırsatlara eğilim, e-plansız satın alma ve faydacı gezinme üzerinde anlamlı bir etkiye sahipken, hedonik gezinme üzerinde anlamlı bir etkiye sahip değildir. Tüketici ruh hâli, e-plansız satın alma, faydacı gezinme ve hedonik gezinme üzerinde anlamlı bir etkiye sahiptir. Ayrıca, faydacı gezinme, fırsatlara eğilim ile e-plansız satın alma arasındaki ilişkide kısmi aracılık etkisine sahipken, hedonik gezinme ise sosyal etki ve tüketici ruh hâlinin e-plansız satın alma üzerindeki etkisinde kısmı aracılık rolüne sahiptir.

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Cite This Article

Erdem, A. (2025). Factors Influencing E-impulse buying behaviour: The Mediating Role of Utilitarian and Hedonic Browsing. JOEEP: Journal of Emerging Economies and Policy, Cilt: 10 Sayı: 1, 466–477. https://ajindex.com/articles/1504166

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References (68)

  1. Adaji, I., Oyibo, K., & Vassileva, J. (2019). Effect of Shopping Value on the Susceptibility of E-Commerce Shoppers to Persuasive Strategies and the Role of Gender. In H. Oinas-Kukkonen, K. T. Win, E. Karapanos, P. Karppinen, & E. Kyza (Eds.), Persuasive Technology: Development of Persuasive and Behavior Change Support Systems (Vol. 11433, pp. 270–282). Springer International Publishing. https://doi.org/10.1007/978-3-030-17287-9_22
  2. Alford, B. L., & Biswas, A. (2002). The effects of discount level, price consciousness and sale proneness on consumers’ price perception and behavioral intention. Journal of Business Research, 55(9), 775–783.
  3. Amblee, N., & Bui, T. (2011). Harnessing the Influence of Social Proof in Online Shopping: The Effect of Electronic Word of Mouth on Sales of Digital Microproducts. International Journal of Electronic Commerce, 16(2), 91–114. https://doi.org/10.2753/JEC1086-4415160205
  4. Ang, H. S., Sim Cheng, P., Lim, E. A., & Kuan Tambyah, S. (2001). Spot the difference: Consumer responses towards counterfeits. Journal of Consumer Marketing, 18(3), 219–235.
  5. Antunes, I., Martinez, L. M., & Martinez, L. F. (2022). A eficácia das técnicas de promoção de vendas no comportamento de compra dos consumidores millennials. REMark, 21(3), 784.
  6. Arnold, M. J., & Reynolds, K. E. (2003). Hedonic shopping motivations. Journal of Retailing, 79(2), 77–95.
  7. Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644–656.
  8. Bandyopadhyay, N., Sivakumaran, B., Patro, S., & Kumar, R. S. (2021). Immediate or delayed! Whether various types of consumer sales promotions drive impulse buying?: An empirical investigation. Journal of Retailing and Consumer Services, 61, 102532.
  9. Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173.
  10. Bearden, W. O., Netemeyer, R. G., & Teel, J. E. (1989). Measurement of consumer susceptibility to interpersonal influence. Journal of Consumer Research, 15(4), 473–481.
  11. Blakeney, A., Findley, C., Self, D. R., Ingram, R., & Garrett, T. (2010). Media Habits of Sensation Seekers. Journal of Global Academy of Marketing Science, 20(2), 179–187. https://doi.org/10.1080/12297119.2010.9730190
  12. Bressolles, G., Durrieu, F., & Giraud, M. (2007). The impact of electronic service quality’s dimensions on customer satisfaction and buying impulse. Journal of Customer Behaviour, 6(1), 37–56.
  13. Chang, J. H., Yan, R.-N., & Eckman, M. (2014). Moderating effects of situational characteristics on impulse buying. International Journal of Retail & Distribution Management, 42(4), 298–314.
  14. Chen, Y., Lu, Y., Gupta, S., & Pan, Z. (2020). Understanding “window” shopping and browsing experience on social shopping website: An empirical investigation. Information Technology & People, 33(4), 1124–1148.
  15. Cheung, C. M., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470.
  16. Correia, A., & Kozak, M. (2019). Browsing and shopping. In Tourist Behaviour (pp. 175–198). Edward Elgar Publishing.
  17. Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629.
  18. Dholakia, U. M. (2000). Temptation and resistance: An integrated model of consumption impulse formation and enactment. Psychology and Marketing, 17(11), 955–982.
  19. Doll, W. J., Xia, W., & Torkzadeh, G. (1994). A Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument. MIS Quarterly, 18(4), 453–461. https://doi.org/10.2307/249524
  20. Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter?—An empirical investigation of panel data. Decision Support Systems, 45(4), 1007–1016.
  21. Febrilia, I., & Warokka, A. (2021). Consumer traits and situational factors: Exploring the consumer’s online impulse buying in the pandemic time. Social Sciences & Humanities Open, 4(1), 100182.
  22. Fondevila-Gascón, J.-F., Polo-López, M., Rom-Rodríguez, J., & Mir-Bernal, P. (2020). Social media influence on consumer behavior: The case of mobile telephony manufacturers. Sustainability, 12(4), 1506.
  23. Furnham, A., & Milner, R. (2013). The impact of mood on customer behavior: Staff mood and environmental factors. Journal of Retailing and Consumer Services, 20(6), 634–641.
  24. Gardner, M. P. (1985). Mood states and consumer behavior: A critical review. Journal of Consumer Research, 12(3), 281–300.
  25. Gass, R. H. (2015). Sociology of social influence. International Encyclopedia of the Social and Behavioral Sciences. 2nd Ed. Oxford: Elsevier, 348–354.
  26. Grange, C., & Benbasat, I. (2010). Online social shopping: The functions and symbols of design artifacts. 43rd Hawaii International Conference on System Sciences, 1–10.
  27. Hair, J. F., Anderson, R. E., Tatham, R. L., & Black, W. C. (1998). Multivariate data analysis. Englewood cliff. New Jersey, USA, 5(3), 207–2019.
  28. Hair Jr, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis. In Multivariate data analysis (pp. 785–785).
  29. Hill, R. P., & Gardner, M. P. (1987). The Buying Process: Effects of and on Consumer Mood States. Advances in Consumer Research, 14(1).
  30. Huang, L.-T. (2016). Exploring utilitarian and hedonic antecedents for adopting information from a recommendation agent and unplanned purchase behaviour. New Review of Hypermedia and Multimedia, 22(1–2), 139–165. https://doi.org/10.1080/13614568.2015.1052098
  31. Iranmanesh, M., Jayaraman, K., Zailani, S., & Ghadiri, S. M. (2017). The effects of consumer perception of volume discount benefits on intention to purchase grocery products: Deal proneness as a moderator. Asia Pacific Journal of Marketing and Logistics, 29(5), 1017–1035.
  32. Jacoby, J. (2002). Stimulus‐Organism‐Response Reconsidered: An Evolutionary Step in Modeling (Consumer) Behavior. Journal of Consumer Psychology, 12(1), 51–57. https://doi.org/10.1207/S15327663JCP1201_05
  33. Jang, H.-W., & Lee, S.-B. (2019). Applying effective sensory marketing to sustainable coffee shop business management. Sustainability, 11(22), 6430.
  34. Jeon, J.-O. (1990). An empirical investigation of the relationship between affective states, in-store browsing, and impulse buying. The University of Alabama.
  35. Jones, M. A., Reynolds, K. E., Weun, S., & Beatty, S. E. (2003). The product-specific nature of impulse buying tendency. Journal of Business Research, 56(7), 505–511.
  36. Kalaycı, Ş. (2010). SPSS uygulamalı çok değişkenli istatistik teknikleri (Vol. 5). Asil Yayın Dağıtım Ankara, Turkey.
  37. Khan, M. T., Humayun, A. A., & Sajjad, M. (2015). FactorsAffecting Impulse Buying and Percentage of Impulse Buying in Total Purchasing. Business and Management, 7(1), 341–356.
  38. Kwon, K.-N., & Kwon, Y. J. (2013). Heterogeneity of deal proneness: Value-mining, price-mining, and encounters. Journal of Retailing and Consumer Services, 20(2), 182–188.
  39. LaRose, R., & Eastin, M. S. (2002). Is Online Buying Out of Control? Electronic Commerce and Consumer Self-Regulation. Journal of Broadcasting & Electronic Media, 46(4), 549–564. https://doi.org/10.1207/s15506878jobem4604_4
  40. Liang, T.-P., Ho, Y.-T., Li, Y.-W., & Turban, E. (2011). What Drives Social Commerce: The Role of Social Support and Relationship Quality. International Journal of Electronic Commerce, 16(2), 69–90. https://doi.org/10.2753/JEC1086-4415160204
  41. Lichtenstein, D. R., Burton, S., & Netemeyer, R. G. (1997). An examination of deal proneness across sales promotion types: A consumer segmentation perspective. Journal of Retailing, 73(2), 283–297.
  42. Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990). Distinguishing Coupon Proneness from Value Consciousness: An Acquisition-Transaction Utility Theory Perspective. Journal of Marketing, 54(3), 54–67. https://doi.org/10.1177/002224299005400305
  43. Madhavaram, S. R., & Laverie, D. A. (2004). Exploring impulse purchasing on the internet. Advances in Consumer Research, 31(1), 59–66.
  44. Martínez, E., & Montaner, T. (2006). The effect of consumer’s psychographic variables upon deal-proneness. Journal of Retailing and Consumer Services, 13(3), 157–168.
  45. Ngo, T. T. A., Nguyen, H. L. T., Nguyen, H. P., Mai, H. T. A., Mai, T. H. T., & Hoang, P. L. (2024). A comprehensive study on factors influencing online impulse buying behavior: Evidence from Shopee video platform. Heliyon, 10(15).
  46. Nsairi, B. (2012). Managing browsing experience in retail stores through perceived value: Implications for retailers. International Journal of Retail & Distribution Management, 40(9), 676–698.
  47. Palazon, M., & Delgado-Ballester, E. (2011). The expected benefit as determinant of deal-prone consumers’ response to sales promotions. Journal of Retailing and Consumer Services, 18(6), 542–547.
  48. Park, E. J., Kim, E. Y., Funches, V. M., & Foxx, W. (2012). Apparel product attributes, web browsing, and e-impulse buying on shopping websites. Journal of Business Research, 65(11), 1583–1589.
  49. Pechtl, H. (2004). Profiling intrinsic deal proneness for HILO and EDLP price promotion strategies. Journal of Retailing and Consumer Services, 11(4), 223–233.
  50. Phang, C. W., Luo, X., & Fang, Z. (2019). Mobile Time-Based Targeting: Matching Product-Value Appeal to Time of Day. Journal of Management Information Systems, 36(2), 513–545. https://doi.org/10.1080/07421222.2019.1598696
  51. Picot-Coupey, K., Krey, N., Huré, E., & Ackermann, C.-L. (2021). Still work and/or fun? Corroboration of the hedonic and utilitarian shopping value scale. Journal of Business Research, 126, 578–590.
  52. Piron, F. (1991). Defining impulse purchasing. Advances in Consumer Research, 18(1).
  53. Robert, D., & John, R. (1982). Store atmosphere: An environmental psychology approach. Journal of Retailing, 58(1), 34–57.
  54. Rowley, J. (2002). ‘Window’ shopping and browsing opportunities in cyberspace. Journal of Consumer Behaviour, 1(4), 369–378. https://doi.org/10.1002/cb.81
  55. Schindler, R. M. (1989). The excitement of getting a bargain: Some hypotheses concerning the origins and effects of smart-shopper feelings. Advances in Consumer Research, 16(1).
  56. Schneider, L. G., & Currim, I. S. (1991). Consumer purchase behaviors associated with active and passive deal-proneness. International Journal of Research in Marketing, 8(3), 205–222.
  57. Sharma, P., Sivakumaran, B., & Marshall, R. (2010). Impulse buying and variety seeking: A trait-correlates perspective. Journal of Business Research, 63(3), 276–283.
  58. Shukla, P., & Babin, B. J. (2013). Effects of consumer psychographics and store characteristics in influencing shopping value and store switching. Journal of Consumer Behaviour, 12(3), 194–203. https://doi.org/10.1002/cb.1411
  59. Sminor, M., & CMowen, J. (2013). Consumer behavior: Internal and external factors. Salehe Ardestani, A., & Saadi, MR (Eds).
  60. Turkish Statistical Institute. (2024). https://data.tuik.gov.tr/Bulten/Index?p=Hanehalki-Bilisim-Teknolojileri-(BT)-Kullanim-Arastirmasi-2024-53492
  61. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 425–478.
  62. Verhagen, T., & Van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information & Management, 48(8), 320–327.
  63. Wang, L. C., Baker, J., Wagner, J. A., & Wakefield, K. (2007). Can A Retail Web Site be Social? Journal of Marketing, 71(3), 143–157. https://doi.org/10.1509/jmkg.71.3.143
  64. Wu, K., Vassileva, J., Noorian, Z., & Zhao, Y. (2015). How do you feel when you see a list of prices? The interplay among price dispersion, perceived risk and initial trust in Chinese C2C market.
  65. Xi, H., Hong, Z., Jianshan, S., Li, X., Jiuchang, W., & Davison, R. (2016). Impulsive purchase behaviour in social commerce: The role of social influence. PACIS 2016 Proceedings. 364.
  66. Xiang, L., Zheng, X., Lee, M. K., & Zhao, D. (2016). Exploring consumers’ impulse buying behavior on social commerce platform: The role of parasocial interaction. International Journal of Information Management, 36(3), 333–347.
  67. Yang, K. (2010). Determinants of US consumer mobile shopping services adoption: Implications for designing mobile shopping services. Journal of Consumer Marketing, 27(3), 262–270.
  68. Zheng, X., Men, J., Yang, F., & Gong, X. (2019). Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing. International Journal of Information Management, 48, 151–160.