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Creating Impulse Buying Behavior in The Online Festival Atmosphere: A Gender-Based Evaluation

Yıl 2024, Cilt: 21 Sayı: 6, 435 - 448
https://doi.org/10.26466/opusjsr.1550799

Öz

Impulsive buying behavior during online shopping festivals is shown by many consumers and e-commerce businesses benefit from it. However, the reasons for this behavior have not been revealed. Therefore, this study will investigate the antecedents underlying this behavior. It was also investigated whether the effect of these antecedents on the festival atmosphere differed according to gender. A total of 590 participants (294 men and 296 women) participated in the study. The analysis was conducted with PLS-SEM 4.0. As a result of the analysis, it was seen that the elements that make up the festival atmosphere differed for men and women. For women, low price, perceived novelty, perceived perishability, perceived limitation, category richness, time constraint, and perceived entertainment affected the festival atmosphere, while for men, low price, perceived perishability, perceived limitation, time constraint, and social benefits affected the atmosphere. In addition, festival atmosphere positively influenced impulse buying for both genders. Therefore, e-commerce companies should create a festival atmosphere by considering gender differences and use different variables.

Etik Beyan

Bayburt Üniversitesi Etik Kurulundan rapor alınmıştır.

Kaynakça

  • Ahn, J., & Kwon, J. (2022). The role of trait and emotion in cruise customers’ impulsive buying behavior: an empirical study. Journal of Strategic Marketing, 30(3), 320-333.
  • Cengiz, H., & Şenel, M. (2024). The effect of perceived scarcity on impulse-buying tendencies in a fast fashion context: A mediating and multigroup analysis. Journal of Fashion Marketing and Management: An International Journal, 28(3), 405-425.
  • Chen, C. D., & Ku, E. C. (2021). Diversified online review websites as accelerators for online impulsive buying: the moderating effect of price dispersion. Journal of Internet Commerce, 20(1), 113-135.
  • Chen, C., & Li, X. (2020). The effect of online shopping festival promotion strategies on consumer participation intention. Industrial Management & Data Systems, 120(12), 2375-2395.
  • Chen, H. (2022). Consumer online shopping satisfaction evaluation research. International Journal of Frontiers in Sociology, 4(4).
  • Chen, J. V., Ha, Q. A., & Vu, M. T. (2023). The influences of virtual reality shopping characteristics on consumers’ impulse buying behavior. International Journal of Human–Computer Interaction, 39(17), 3473-3491.
  • Dsilva, H., & Elangovan, N. (2021). Impulsive buying during flash sales on ECommerce sites and the ramification of flash Sales on shopping. Ushus Journal of Business Management, 20(4), 27-43.
  • Frasquet, M., Ieva, M., & Mollá-Descals, A. (2024). Customer inspiration in retailing: The role of perceived novelty and customer loyalty across offline and online channels. Journal of Retailing and Consumer Services, 76, 103592.
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the academy of marketing science, 45, 616-632.
  • Hair, J.F., Sarstedt, M., Ringle, C.M. and Gudergan, S.P. (2018) Advanced Issues in Partial Least Squares Structural Equations Modeling (PLS-SEM), Sage, Thousand Oaks, CA.
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International marketing review, 33(3), 405-431.
  • Ittaqullah, N., Madjid, R., & Suleman, N. R. (2020). The effects of mobile marketing, discount, and lifestyle on consumers’ impulse buying behavior in online marketplace. International Journal of Scientific and Technology Research, 9(3), 1569-1577.
  • Kim, W. B., Xie, J., & Choo, H. J. (2023). Role of perceived benefits of online shopping festival in Vietnam: differences between millennials and generation Z. Journal of Retailing and Consumer Services, 75, 103530.
  • Li, J., Zhu, A., Liu, D., Zhao, W., Zhou, Y., Chen, 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), 2644.
  • Li, M. (2021). Take the “Double 11” as an example of the consumer behavior analysis of festival marketing. 6th International Conference on Modern Management and Education Technology (MMET 2021) (pp. 278-285). Atlantis Press.
  • Mahmuddin, Y., Abdullah, M., Ramdan, M. R., Anim, N. A. H. M., Aziz, N. A. A., Aziz, N. A. A., ... & Aziz, N. N. A. (2022). The stimulus factors influencing intention to participate in shopping during the distribution of the 12.12 online shopping festivals in Malaysia. Journal of Distribution Science, 20(8), 93-103.
  • McCollough, J. (2020). The impact of consumers' time constraint and conspicuous consumption behaviour on the throwaway society. International Journal of Consumer Studies, 44(1), 33-43.
  • Novita, R., Setiawan, Z., Sutanto, A., & Siswanto, A. (2022). Consumer participation intentions: Antecedents festival Belanja online in Indonesia. An International Multidisciplinary Research e-Journal. Vol. 8 Issue III
  • Nyrhinen, J., Sirola, A., Koskelainen, T., Munnukka, J., & Wilska, T. A. (2024). Online antecedents for young consumers’ impulse buying behavior. Computers in Human Behavior, 153, 108129.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
  • Rigdon, E. E., Sarstedt, M., & Ringle, C. M. (2017). On comparing results from CB-SEM and PLS-SEM: Five perspectives and five recommendations. Marketing: ZFP–Journal of Research and Management, 39(3), 4-16.
  • Rodrigues, R. I., Lopes, P., & Varela, M. (2021). Factors affecting impulse buying behavior of consumers. Frontiers in Psychology, 12, 697080.
  • Shang, Q., Jin, J., & Qiu, J. (2020). Utilitarian or hedonic: Event-related potential evidence of purchase intention bias during online shopping festivals. Neuroscience letters, 715, 134665.
  • Shao, J. B., Yao, F. S., & Xie, M. (2023). Is time-constrained promotion actually effective? The moderating role of price discounts and previous online consumption experience. International Journal of Services Technology and Management, 28(3-4), 159-184.
  • Simanjuntak, E. R., & Pratama, R. S. (2024). IT affordances, flow, and perceived scarcity: A study on impulsive buying behavior and post-purchase dissonance in live shopping. Journal The Winners, 25(1).
  • Statista, (2024). Market Insights, Retrieved May 10, from https://www.statista.com/outlook/emo/ecommerce/worldwide.
  • Sutisna, F., & Handra, T. (2022). The theory of planned behavior influences online shopping behavior. Aptisi Transactions on Management, 6(1), 52-61.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed., pp. 1–983). New Jersey: Pearson Education Incyang
  • Tang, H., Rasool, Z., Khan, M. A., Khan, A. I., Khan, F., Ali, H., ... & Abbas, S. A. (2021). Factors affecting e‐shopping behaviour: Application of theory of planned behaviour. Behavioural Neurology, 2021(1), 1664377.
  • Wu, Y., Xin, L., Li, D., Yu, J., & Guo, J. (2021). How does scarcity promotion lead to impulse purchase in the online market? A field experiment. Information & Management, 58(1), 103283.
  • Xie, J., Yoon, N., & Choo, H. J. (2023). How online shopping festival atmosphere promotes consumer participation in China. Fashion and Textiles, 10(1), 5.
  • 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), 2790.
  • Yang, S., Li, L., & Zhang, J. (2018). Understanding consumers’ sustainable consumption intention at china’s double-11 online shopping festival: An extended theory of planned behavior model. Sustainability, 10(6), 1801.
  • Yulianto, Y., Sisko, A., & Hendriana, E. (2021). The stimulus of impulse buying behavior on E-commerce shopping festival: A moderated-mediated analysis. Journal of Business and Management Review, 2(10), 692-714.
  • Zeng, M., Cao, H., Chen, M., & Li, Y. (2019). User behaviour modeling, recommendations, and purchase prediction during shopping festivals. Electronic Markets, 29, 263-274.
  • Zeng, Y., Liu, L., & Xu, R. (2022). The effects of a virtual reality tourism experience on tourist’s cultural dissemination behavior. Tourism and Hospitality, 3(1), 314-329.
  • Zhao, X., Chen, X., Song, X., Zhang, W., Gao, L., & De Ciel, R. (2019). A look at alibaba double 11 shopping festival. Journal of Student Research, 8(1). https://doi.org/10.47611/jsr.v8i1. 527

Çevrimiçi Festival Atmosferinde Dürtüsel Satın Alma Davranışı Oluşturmak: Cinsiyete Dayalı Bir Değerlendirme

Yıl 2024, Cilt: 21 Sayı: 6, 435 - 448
https://doi.org/10.26466/opusjsr.1550799

Öz

Çevrimiçi alışveriş festivalleri sırasında dürtüsel satın alma davranışı birçok tüketici tarafından uygulanmakta ve e-ticaret işletmeleri bundan faydalanmaktadır. Ancak bu davranışın nedenleri ortaya konulmamıştır. Bu nedenle bu çalışmada bu davranışın altında yatan öncüller araştırılmıştır. Ayrıca bu öncüllerin festival atmosferine etkisinin cinsiyete göre farklılaşıp farklılaşmadığı araştırılmıştır. Çalışmaya toplam 590 katılımcı (294 erkek ve 296 kadın) katılmıştır. Analiz PLS-SEM 4.0 ile gerçekleştirilmiştir. Analiz sonucunda festival atmosferini oluşturan unsurların erkekler ve kadınlar için farklılaştığı görülmüştür. Kadınlar için düşük fiyat, algılanan yenilik, algılanan dayanıksızlık, algılanan sınırlama, kategori zenginliği, zaman kısıtlaması ve algılanan eğlence festival atmosferini etkilerken, erkekler için düşük fiyat, algılanan dayanıksızlık, algılanan sınırlama, zaman kısıtlaması ve sosyal faydalar atmosferi etkilemiştir. Ayrıca festival atmosferi her iki cinsiyet için de dürtüsel satın almayı olumlu yönde etkilemiştir. Bu nedenle e-ticaret şirketleri cinsiyet farklılıklarını göz önünde bulundurarak festival atmosferi oluşturmalı ve farklı değişkenler kullanmalıdır.

Kaynakça

  • Ahn, J., & Kwon, J. (2022). The role of trait and emotion in cruise customers’ impulsive buying behavior: an empirical study. Journal of Strategic Marketing, 30(3), 320-333.
  • Cengiz, H., & Şenel, M. (2024). The effect of perceived scarcity on impulse-buying tendencies in a fast fashion context: A mediating and multigroup analysis. Journal of Fashion Marketing and Management: An International Journal, 28(3), 405-425.
  • Chen, C. D., & Ku, E. C. (2021). Diversified online review websites as accelerators for online impulsive buying: the moderating effect of price dispersion. Journal of Internet Commerce, 20(1), 113-135.
  • Chen, C., & Li, X. (2020). The effect of online shopping festival promotion strategies on consumer participation intention. Industrial Management & Data Systems, 120(12), 2375-2395.
  • Chen, H. (2022). Consumer online shopping satisfaction evaluation research. International Journal of Frontiers in Sociology, 4(4).
  • Chen, J. V., Ha, Q. A., & Vu, M. T. (2023). The influences of virtual reality shopping characteristics on consumers’ impulse buying behavior. International Journal of Human–Computer Interaction, 39(17), 3473-3491.
  • Dsilva, H., & Elangovan, N. (2021). Impulsive buying during flash sales on ECommerce sites and the ramification of flash Sales on shopping. Ushus Journal of Business Management, 20(4), 27-43.
  • Frasquet, M., Ieva, M., & Mollá-Descals, A. (2024). Customer inspiration in retailing: The role of perceived novelty and customer loyalty across offline and online channels. Journal of Retailing and Consumer Services, 76, 103592.
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the academy of marketing science, 45, 616-632.
  • Hair, J.F., Sarstedt, M., Ringle, C.M. and Gudergan, S.P. (2018) Advanced Issues in Partial Least Squares Structural Equations Modeling (PLS-SEM), Sage, Thousand Oaks, CA.
  • Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International marketing review, 33(3), 405-431.
  • Ittaqullah, N., Madjid, R., & Suleman, N. R. (2020). The effects of mobile marketing, discount, and lifestyle on consumers’ impulse buying behavior in online marketplace. International Journal of Scientific and Technology Research, 9(3), 1569-1577.
  • Kim, W. B., Xie, J., & Choo, H. J. (2023). Role of perceived benefits of online shopping festival in Vietnam: differences between millennials and generation Z. Journal of Retailing and Consumer Services, 75, 103530.
  • Li, J., Zhu, A., Liu, D., Zhao, W., Zhou, Y., Chen, 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), 2644.
  • Li, M. (2021). Take the “Double 11” as an example of the consumer behavior analysis of festival marketing. 6th International Conference on Modern Management and Education Technology (MMET 2021) (pp. 278-285). Atlantis Press.
  • Mahmuddin, Y., Abdullah, M., Ramdan, M. R., Anim, N. A. H. M., Aziz, N. A. A., Aziz, N. A. A., ... & Aziz, N. N. A. (2022). The stimulus factors influencing intention to participate in shopping during the distribution of the 12.12 online shopping festivals in Malaysia. Journal of Distribution Science, 20(8), 93-103.
  • McCollough, J. (2020). The impact of consumers' time constraint and conspicuous consumption behaviour on the throwaway society. International Journal of Consumer Studies, 44(1), 33-43.
  • Novita, R., Setiawan, Z., Sutanto, A., & Siswanto, A. (2022). Consumer participation intentions: Antecedents festival Belanja online in Indonesia. An International Multidisciplinary Research e-Journal. Vol. 8 Issue III
  • Nyrhinen, J., Sirola, A., Koskelainen, T., Munnukka, J., & Wilska, T. A. (2024). Online antecedents for young consumers’ impulse buying behavior. Computers in Human Behavior, 153, 108129.
  • Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
  • Rigdon, E. E., Sarstedt, M., & Ringle, C. M. (2017). On comparing results from CB-SEM and PLS-SEM: Five perspectives and five recommendations. Marketing: ZFP–Journal of Research and Management, 39(3), 4-16.
  • Rodrigues, R. I., Lopes, P., & Varela, M. (2021). Factors affecting impulse buying behavior of consumers. Frontiers in Psychology, 12, 697080.
  • Shang, Q., Jin, J., & Qiu, J. (2020). Utilitarian or hedonic: Event-related potential evidence of purchase intention bias during online shopping festivals. Neuroscience letters, 715, 134665.
  • Shao, J. B., Yao, F. S., & Xie, M. (2023). Is time-constrained promotion actually effective? The moderating role of price discounts and previous online consumption experience. International Journal of Services Technology and Management, 28(3-4), 159-184.
  • Simanjuntak, E. R., & Pratama, R. S. (2024). IT affordances, flow, and perceived scarcity: A study on impulsive buying behavior and post-purchase dissonance in live shopping. Journal The Winners, 25(1).
  • Statista, (2024). Market Insights, Retrieved May 10, from https://www.statista.com/outlook/emo/ecommerce/worldwide.
  • Sutisna, F., & Handra, T. (2022). The theory of planned behavior influences online shopping behavior. Aptisi Transactions on Management, 6(1), 52-61.
  • Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics (6th ed., pp. 1–983). New Jersey: Pearson Education Incyang
  • Tang, H., Rasool, Z., Khan, M. A., Khan, A. I., Khan, F., Ali, H., ... & Abbas, S. A. (2021). Factors affecting e‐shopping behaviour: Application of theory of planned behaviour. Behavioural Neurology, 2021(1), 1664377.
  • Wu, Y., Xin, L., Li, D., Yu, J., & Guo, J. (2021). How does scarcity promotion lead to impulse purchase in the online market? A field experiment. Information & Management, 58(1), 103283.
  • Xie, J., Yoon, N., & Choo, H. J. (2023). How online shopping festival atmosphere promotes consumer participation in China. Fashion and Textiles, 10(1), 5.
  • 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), 2790.
  • Yang, S., Li, L., & Zhang, J. (2018). Understanding consumers’ sustainable consumption intention at china’s double-11 online shopping festival: An extended theory of planned behavior model. Sustainability, 10(6), 1801.
  • Yulianto, Y., Sisko, A., & Hendriana, E. (2021). The stimulus of impulse buying behavior on E-commerce shopping festival: A moderated-mediated analysis. Journal of Business and Management Review, 2(10), 692-714.
  • Zeng, M., Cao, H., Chen, M., & Li, Y. (2019). User behaviour modeling, recommendations, and purchase prediction during shopping festivals. Electronic Markets, 29, 263-274.
  • Zeng, Y., Liu, L., & Xu, R. (2022). The effects of a virtual reality tourism experience on tourist’s cultural dissemination behavior. Tourism and Hospitality, 3(1), 314-329.
  • Zhao, X., Chen, X., Song, X., Zhang, W., Gao, L., & De Ciel, R. (2019). A look at alibaba double 11 shopping festival. Journal of Student Research, 8(1). https://doi.org/10.47611/jsr.v8i1. 527
Toplam 37 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Strateji, Yönetim ve Örgütsel Davranış (Diğer)
Bölüm Research Articles
Yazarlar

Sefa Emre Yılmazel

Erken Görünüm Tarihi 30 Kasım 2024
Yayımlanma Tarihi
Gönderilme Tarihi 16 Eylül 2024
Kabul Tarihi 27 Kasım 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 21 Sayı: 6

Kaynak Göster

APA Yılmazel, S. E. (2024). Creating Impulse Buying Behavior in The Online Festival Atmosphere: A Gender-Based Evaluation. OPUS Journal of Society Research, 21(6), 435-448. https://doi.org/10.26466/opusjsr.1550799