Research Article
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Why do consumers purchase impulsively in online shopping? The roles of virtual store stimulus and flow experience

Year 2022, Volume: 11 Issue: 2, 122 - 140, 31.12.2022
https://doi.org/10.47934/tife.11.02.03

Abstract

This study mainly focuses on the flow experience in the online shopping environment. Based on quantitative research, it is aimed to statistically examine the relationships between virtual store atmosphere, sales promotions, the flow experience and impulsive buying within the framework of the S-O-R paradigm. In this respect, virtual store atmosphere and sales promotions are considered as external stimuli (S), flow experience as an organism (O), and impulsive buying as a consumer response (R). Another aim of the study is to examine the variables considered in terms of demographic characteristics and purchasing routines of consumers. The data of the quantitative research collected from 407 consumers accessed via an online survey within the scope of convenience sampling and the data were analyzed with SPSS 24 statistical software. The findings obtained as a result of the analyses showed that there were statistically significant relationships between all of the variables discussed. In addition, various demographic characteristics and purchasing habits of consumers showed significant intergroup differences.

References

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  • Aksu, G., Eser, M. T., Güzeller, C. O. (2017). Açımlayıcı ve doğrulayıcı faktör analizi ile yapısal eşitlik modeli uygulamaları. Ankara: Detay Yayıncılık.
  • Albayrak, A. S. (2005). Çoklu doğrusal bağlantı halinde enküçük kareler tekniğinin alternatifi yanlı tahmin teknikleri ve bir uygulama. Uluslararası Yönetim İktisat ve İşletme Dergisi, 1(1), 105-126.
  • Armağan, E., ve Temel, E. (2018). Türkiye’de online kompulsif alışveriş davranışı üzerine ampirik bir çalışma. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 20(4), 621-653.
  • Asakawa, K. (2004). Flow experience and autotelic personality in Japanese college students: how do they experience challenges in daily life?. Journal of Happiness Studies, 5, 123-154.
  • Atalar, G. (2012). Online alışveriş yönelimleri ve sanal mağaza atmosferi. Yayımlanmamış Yüksek Lisans Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
  • Bäckström, K., & Johansson, U. (2006). Creating and consuming experiences in retail store environments: Comparing retailer and consumer perspectives. Journal of Retailing and Consumer Services, 13(6), 417-430.
  • Bao, Z., & Yang, J. (2022). Why online consumers have the urge to buy impulsively: Roles of serendipity, trust and flow experience. Management Decision, ahead-of-print. Emerald Publishing Limited.
  • Bilgihan, A., Okumus, F., Nusair, K., & Bujisic, M. (2013). Online experiences: flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry. Information Technology & Tourism, 14(1), 49-71.
  • Blazquez, M., Boardman, R., & Xu, L. (2019). International flagship stores: An exploration of store atmospherics and their influence on purchase behaviour. International Journal of Business and Globalisation, 22(1), 110-126.
  • Bosnjak, M., Bandl, A., & Bratko, D. (2007). Measuring impulsive buying tendencies in Croatia: Towards a parsimonious measurement scale. In B. Grbac (Ed.), Marketing u drustvu znanja i suvremenoj poslovnoj stvarnosti (pp. 426-435). Rijeka, Cromar, Croatia.
  • Bridges, E., & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309-314.
  • Canarslan, N. Ö. (2017). Online kitlesel bireyselleştirmede ürün değeri ve akış deneyiminin ödeme isteği ile satın alma olasılığına etkisi. Yayımlanmamış Doktora Tezi, Anadolu Üniversitesi Sosyal Bilimler Enstitüsü, Eskişehir.
  • Canarslan, N. Ö., ve Barış, G. (2022). Flow experience and consumer willingness to pay in online mass customization processes. International Journal of Online Marketing (IJOM), 12(1), 1-21.
  • Chiu, C. C., & Yang, H. E. (2016). The impact of website design features on behavioral intentions. International Journal of Scientific & Technology Research, 5(9), 71-78.
  • Clemence, D. (2017). The impacts of sales promotion strategies on product awareness: A study on decorative paints in Ilala Municipality. Master Thesis, The Open Unıversity of Tanzania, Tanzania.
  • Cop, R., ve Sezer, N. (2015). E-mağaza atmosferine tüketicinin bakışı ve bir araştırma. Sosyal Ekonomik Araştırmalar Dergisi, 15(30), 138-162.
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  • Dailey, L. (2004). Navigational web atmospherics. Journal of Business Research, 57(7), 795-803.
  • Dawson, S., & Kim, M. (2010). Cues on apparel web sites that trigger impulse purchases. Journal of Fashion Marketing and Management, 14(2), 230-246.
  • Eroğlu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150.
  • Eser, Z., Korkmaz, S., ve Öztürk, S. A. (2011). Pazarlama: Kavramlar- ilkeler- kararlar. Ankara: Siyasal Yayın-Dağıtım.
  • Ettis, S. A. (2017). Examining the relationships between online store atmospheric color, flow experience and consumer behavior. Journal of Retailing and Consumer Services, 37, 43-55.
  • Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications, 12, 425-439.
  • Fornell C., & Larcker D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  • Gao, L., & Bai, X. (2014). Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China. Journal of Retailing and Consumer Services, 21(4), 653-665.
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  • Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences. Boston, Mass: Houghton Mifflin College Division.
  • Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68.
  • Honea, H., & Dahl, D. W. (2005). The promotion affect scale: Defining the affective dimensions of promotion. Journal of Business Research, 58(4), 543-551.
  • Hsu, C. L., Chang, K. C., & Chen, M. C. (2012). Flow experience and internet shopping behavior: Investigating the moderating effect of consumer characteristics. Systems Research and Behavioral Science, 29(3), 317-332.
  • Kazançoğlu, I., & Demir, B. (2021). Analysing flow experience on repurchase intention in e-retailing during COVID-19. International Journal of Retail & Distribution Management, 49(11), 1571-1593.
  • Kılıç, S. (2016). Cronbach’ın alfa güvenirlik katsayısı. Journal of Mood Disorders, 6(1), 47-48.
  • Kim, S., & Stoel, L. (2004). Apparel retailers, website quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 11(2), 109-117.
  • Koo, D. & Ju, S. (2010). The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention. Computers in Human Behavior, 26(3), 377-388.
  • Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
  • Kumar, A., Suganya, S., & Imayavendan, V. (2018). An empirical study on sales promotion techniques. Global Journal of Management and Business Research, 18(2), 42-51.
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  • Lee, C. H., & Wu, J. J. (2017). Consumer online flow experience: The relationship between utilitarian and hedonic value, satisfaction and unplanned purchase. Industrial Management & Data Systems, 117(10), 2452-2467.
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  • Lo, L.Y-S., Lin, S-W., & Hsu, L-Y. (2016). Motivation for online impulse buying: A two-factor theory perspective. International Journal of Information Management, 36(5), 759-772.
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  • Moneta, G. B. (2004). The flow experience across cultures. Journal of Happiness Studies, 5, 181-217.
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Online alışverişte tüketiciler neden anlık satın alma dürtüsü gösterir? Sanal mağaza uyaranları ve akış deneyiminin rolleri

Year 2022, Volume: 11 Issue: 2, 122 - 140, 31.12.2022
https://doi.org/10.47934/tife.11.02.03

Abstract

Bu çalışmada temel olarak online (çevrimiçi) alışveriş ortamındaki akış deneyimine odaklanılmıştır. Bir nicel araştırmaya dayalı olarak sanal mağaza atmosferi, satış promosyonları, akış deneyimi ve anlık satın alma arasındaki ilişkilerin S-O-R paradigması çerçevesinde istatistiksel olarak incelenmesi amaçlamıştır. Bu doğrultuda sanal mağaza atmosferi ve satış promosyonları dışsal uyaranlar (S), akış deneyimi organizma (O), anlık satın alma ise bir tüketici tepkisi (R) olarak ele alınmıştır. Çalışmanın diğer bir amacını ise tüketicilerin demografik özellikleri ve satın alma alışkanlıkları bakımından ele alınan değişkenlerin incelenmesi oluşturmuştur. Nicel araştırmanın verilerini kolayda örnekleme kapsamında online anket yoluyla erişilen 407 tüketicinin yanıtları oluşturmuş ve veriler SPSS 24 istatistik yazılımında çözümlenmiştir. Analizler sonucunda erişilen bulgular, ele alınan değişkenlerin tümü arasında istatistiksel olarak anlamlı ilişkiler bulunduğunu göstermiştir. Ayrıca tüketicilerin çeşitli demografik özellikleri ve satın alma alışkanlıkları anlamlı gruplar arası farklılıklar sergilemiştir.

References

  • Agarwal, R., & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage. MIS Quarterly, 24(4), 665-694.
  • Akram, U., Hui, P. Khan, M. K., Tanveer, Y., Mehmood, K., & Ahmad, W. (2018). How website quality affects online impulse buying: Moderating effects of sales promotion and credit card use. Asia Pacific Journal of Marketing and Logistics, 30(1), 235-256.
  • Aksu, G., Eser, M. T., Güzeller, C. O. (2017). Açımlayıcı ve doğrulayıcı faktör analizi ile yapısal eşitlik modeli uygulamaları. Ankara: Detay Yayıncılık.
  • Albayrak, A. S. (2005). Çoklu doğrusal bağlantı halinde enküçük kareler tekniğinin alternatifi yanlı tahmin teknikleri ve bir uygulama. Uluslararası Yönetim İktisat ve İşletme Dergisi, 1(1), 105-126.
  • Armağan, E., ve Temel, E. (2018). Türkiye’de online kompulsif alışveriş davranışı üzerine ampirik bir çalışma. Dokuz Eylül Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 20(4), 621-653.
  • Asakawa, K. (2004). Flow experience and autotelic personality in Japanese college students: how do they experience challenges in daily life?. Journal of Happiness Studies, 5, 123-154.
  • Atalar, G. (2012). Online alışveriş yönelimleri ve sanal mağaza atmosferi. Yayımlanmamış Yüksek Lisans Tezi, İstanbul Üniversitesi Sosyal Bilimler Enstitüsü, İstanbul.
  • Bäckström, K., & Johansson, U. (2006). Creating and consuming experiences in retail store environments: Comparing retailer and consumer perspectives. Journal of Retailing and Consumer Services, 13(6), 417-430.
  • Bao, Z., & Yang, J. (2022). Why online consumers have the urge to buy impulsively: Roles of serendipity, trust and flow experience. Management Decision, ahead-of-print. Emerald Publishing Limited.
  • Bilgihan, A., Okumus, F., Nusair, K., & Bujisic, M. (2013). Online experiences: flow theory, measuring online customer experience in e-commerce and managerial implications for the lodging industry. Information Technology & Tourism, 14(1), 49-71.
  • Blazquez, M., Boardman, R., & Xu, L. (2019). International flagship stores: An exploration of store atmospherics and their influence on purchase behaviour. International Journal of Business and Globalisation, 22(1), 110-126.
  • Bosnjak, M., Bandl, A., & Bratko, D. (2007). Measuring impulsive buying tendencies in Croatia: Towards a parsimonious measurement scale. In B. Grbac (Ed.), Marketing u drustvu znanja i suvremenoj poslovnoj stvarnosti (pp. 426-435). Rijeka, Cromar, Croatia.
  • Bridges, E., & Florsheim, R. (2008). Hedonic and utilitarian shopping goals: The online experience. Journal of Business Research, 61(4), 309-314.
  • Canarslan, N. Ö. (2017). Online kitlesel bireyselleştirmede ürün değeri ve akış deneyiminin ödeme isteği ile satın alma olasılığına etkisi. Yayımlanmamış Doktora Tezi, Anadolu Üniversitesi Sosyal Bilimler Enstitüsü, Eskişehir.
  • Canarslan, N. Ö., ve Barış, G. (2022). Flow experience and consumer willingness to pay in online mass customization processes. International Journal of Online Marketing (IJOM), 12(1), 1-21.
  • Chiu, C. C., & Yang, H. E. (2016). The impact of website design features on behavioral intentions. International Journal of Scientific & Technology Research, 5(9), 71-78.
  • Clemence, D. (2017). The impacts of sales promotion strategies on product awareness: A study on decorative paints in Ilala Municipality. Master Thesis, The Open Unıversity of Tanzania, Tanzania.
  • Cop, R., ve Sezer, N. (2015). E-mağaza atmosferine tüketicinin bakışı ve bir araştırma. Sosyal Ekonomik Araştırmalar Dergisi, 15(30), 138-162.
  • Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. Washington: Jossey-Bass Publishers.
  • Csikszentmihalyi, M. (1988). The flow experience and human psychology. New York, USA: Cambridge University Press.
  • Csikszentmihalyi, M., & LeFevre, J. (1989). Optimal experience in work and leisure. Journal of Personality and Social Psychology, 56(5), 815–822.
  • Dailey, L. (2004). Navigational web atmospherics. Journal of Business Research, 57(7), 795-803.
  • Dawson, S., & Kim, M. (2010). Cues on apparel web sites that trigger impulse purchases. Journal of Fashion Marketing and Management, 14(2), 230-246.
  • Eroğlu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150.
  • Eser, Z., Korkmaz, S., ve Öztürk, S. A. (2011). Pazarlama: Kavramlar- ilkeler- kararlar. Ankara: Siyasal Yayın-Dağıtım.
  • Ettis, S. A. (2017). Examining the relationships between online store atmospheric color, flow experience and consumer behavior. Journal of Retailing and Consumer Services, 37, 43-55.
  • Floh, A., & Madlberger, M. (2013). The role of atmospheric cues in online impulse-buying behavior. Electronic Commerce Research and Applications, 12, 425-439.
  • Fornell C., & Larcker D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50.
  • Gao, L., & Bai, X. (2014). Online consumer behaviour and its relationship to website atmospheric induced flow: Insights into online travel agencies in China. Journal of Retailing and Consumer Services, 21(4), 653-665.
  • Ghani, J. A., & Deshpande, S. D. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128(4), 381-391.
  • Greven, A., & Pals, K. (2014). The effect of online low task-relevant atmospheric cues on emotions and responses. Master’s Thesis, University of Boras The Swedish School of Textiles, Boras, Sweden.
  • Hinkle, D. E., Wiersma, W., & Jurs, S. G. (2003). Applied statistics for the behavioral sciences. Boston, Mass: Houghton Mifflin College Division.
  • Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50-68.
  • Honea, H., & Dahl, D. W. (2005). The promotion affect scale: Defining the affective dimensions of promotion. Journal of Business Research, 58(4), 543-551.
  • Hsu, C. L., Chang, K. C., & Chen, M. C. (2012). Flow experience and internet shopping behavior: Investigating the moderating effect of consumer characteristics. Systems Research and Behavioral Science, 29(3), 317-332.
  • Kazançoğlu, I., & Demir, B. (2021). Analysing flow experience on repurchase intention in e-retailing during COVID-19. International Journal of Retail & Distribution Management, 49(11), 1571-1593.
  • Kılıç, S. (2016). Cronbach’ın alfa güvenirlik katsayısı. Journal of Mood Disorders, 6(1), 47-48.
  • Kim, S., & Stoel, L. (2004). Apparel retailers, website quality dimensions and satisfaction. Journal of Retailing and Consumer Services, 11(2), 109-117.
  • Koo, D. & Ju, S. (2010). The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention. Computers in Human Behavior, 26(3), 377-388.
  • Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
  • Kumar, A., Suganya, S., & Imayavendan, V. (2018). An empirical study on sales promotion techniques. Global Journal of Management and Business Research, 18(2), 42-51.
  • Kurniawan, N. F., Madiasto, E., & Soesilo, P. K. (2021). How website’s atmosphere affect consumer behavior: A new model based on the Stimulus-Organism-Response (SOR) framework. Journal of Business, Management, & Accounting, 3(2), 139-149.
  • Lee, C. H., & Wu, J. J. (2017). Consumer online flow experience: The relationship between utilitarian and hedonic value, satisfaction and unplanned purchase. Industrial Management & Data Systems, 117(10), 2452-2467.
  • Lepkowska-White, E. (2004). Online store perceptions, how to turn browsers into buyers. Journal of Marketing Theory and Practice, 12(3), 36-47.
  • Lo, L.Y-S., Lin, S-W., & Hsu, L-Y. (2016). Motivation for online impulse buying: A two-factor theory perspective. International Journal of Information Management, 36(5), 759-772.
  • Mahfouz, A. Y., Joonas, K., & Opara, E. U. (2020). An overview of and factor analytic approach to flow theory in online contexts. Technology in Society, 61, 1-7.
  • Mahnke, R., Benlian, A., & Hess, T. (2014). Flow experience in information systems research: Revisiting its conceptualization, conditions, and effects, In Proceedings of the 35th International Conference on Information Systems (pp. 1-22), Auckland, New Zealand.
  • Mamuaya, N. C. I. (2018). The effect of sales promotion and store atmosphere on hedonic shopping motivation and impulsive buying behavior in hypermart manado city. DeReMa Jurnal Manajemen, 13(1), 83-99.
  • Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. USA: MIT Press.
  • Moneta, G. B. (2004). The flow experience across cultures. Journal of Happiness Studies, 5, 181-217.
  • Mukaka, M. M. (2012). A guide to appropriate use of correlation coefficient in medical research. Malawi Medical Journal, 24(3), 69-71.
  • Nakamura, J., & Csikszentmihalyi, M. (2002). The concept of flow. In Snyder, C.R. & Lopez, S.J. (Eds.), Handbook of positive psychology (pp. 89-105). New York: Oxford University Press.
  • Novak, T. P., Hoffman, D. L., & Yung, Y-F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, Winter, 19(1), 22-44.
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Details

Primary Language Turkish
Journal Section Research Articles
Authors

Eren Temel 0000-0003-1938-4836

Ece Armağan 0000-0001-5371-219X

Early Pub Date December 20, 2022
Publication Date December 31, 2022
Submission Date June 17, 2022
Published in Issue Year 2022 Volume: 11 Issue: 2

Cite

APA Temel, E., & Armağan, E. (2022). Online alışverişte tüketiciler neden anlık satın alma dürtüsü gösterir? Sanal mağaza uyaranları ve akış deneyiminin rolleri. Trakya Üniversitesi İktisadi Ve İdari Bilimler Fakültesi E-Dergi, 11(2), 122-140. https://doi.org/10.47934/tife.11.02.03

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