Akıllı Telefon Bağımlılığı ve Ruh Hali Düzenlemenin Akış Deneyimi Aracılığı ile Çevrimiçi Anlık Satın Alma Davranışındaki Rolü

Year 2024, Volume: 24 Issue: 2, 780 - 797, 31.07.2024

Özsev Berk Remzi Altunışık Nilgün Sarıkaya

https://doi.org/10.11616/asbi.1453680

Abstract

Bu çalışma; akıllı telefon bağımlılığı ve ruh hali düzenleme değişkenlerinin, akış deneyimi aracılığı ile çevrimiçi anlık satın alma davranışı üzerindeki etkilerini belirlemeyi amaçlamaktadır. Çalışmada geliştirilen model SOR (Uyaran-Organizma-Tepki) ve akış teorilerinden yararlanmaktadır. Araştırma bağlamında kolayda örnekleme yöntemi ile seçilmiş 609 katılımcı üzerinde yapılan çevrimiçi anket yönteminden elde edilen veriler kullanılmıştır. Verilerin analizinde SPSS 27 ve AMOS 26 programları kullanılmıştır.
Araştırma bulgularına göre; akıllı telefon bağımlılığı ve ruh hali düzenlemenin akış deneyimi üzerinde pozitif yönlü etkilerinin olduğu, çevrimiçi satın alma davranışı üzerinde ise doğrudan etkilerinin olmadığı sonucu ortaya çıkmıştır. Bununla birlikte akış deneyiminin, çevrimiçi anlık satın alma davranışı üzerinde pozitif yönlü etkisinin olduğu tespit edilmiştir. Ayrıca akıllı telefon bağımlılığı ve ruh hali düzenlemenin çevrimiçi anlık satın alma davranışı üzerinde etkilerinin akış deneyimi aracılığı ile anlamlı olduğu saptanmıştır.

Keywords

Akıllı telefon bağımlılığı, ruh hali düzenleme, akış deneyimi, çevrimiçi anlık(dürtüsel) satın alma davranışı

Ethical Statement

Etik beyan ek dosya olarak yüklenmiştir.

Supporting Institution

Sakarya Üniversitesi

The Role of Smartphone Addiction and Mood Regulation in Online Impulse Buying Behavior via Flow Experience

Abstract

This study aims to determine the effects of smartphone addiction and mood regulation variables on online impulse buying behavior through flow experience. The model developed in the study utilizes SOR (Stimulus-Organism-Response) and flow theories. In the context of the research, the data obtained from the online survey method on 609 participants selected by convenience sampling method were used. SPSS 27 and AMOS 26 programs were used to analyze the data.
According to the findings of the research; smartphone addiction and mood regulation have positive effects on flow experience, while they do not have direct effects on online purchase behavior. However, it was found that flow experience has a positive effect on online impulse buying behavior. In addition, the effects of smartphone addiction and mood regulation on online impulse buying behavior were found to be significant through flow experience.

Keywords

Smart phone addiction, mood regulation, flow experience, online impulse purchase behavior

References

• Altunışık, R., Coşkun, R., Bayraktaroğlu, S. ve Yıldırım, E. (2012). Sosyal Bilimlerde Araştırma Yöntemleri. (7.Baskı). Adapazarı: Sakarya Yayıncılık.
• Ameen, N., ve Anand, A. (2020). Generation Z in the United Arab Emirates: A smart-tech-driven iGeneration. In the New Generation Z in Asia Dynamic, Differences, Digitalisation, s.181-192.
• Ampadu, S., Jiang, Y., Debrah, E., Antwi, C. O., Amankwa, E., Gyamfi, S. A. ve Amoako, R. (2022). Online personalized recommended product quality and e-impulse buying: A conditional mediation analysis. Journal of Retailing and Consumer Services, 64, s.102789.
• Bandyopadhyay, N., Sivakumaran, B., Patro, S., ve 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, s.102532.
• Bartlett, J. E., Kotrlik, J. W., ve Higgins, C. C. (2001). Organizational research: Determining appropriate sample size in survey research. Information Technology, Learning, and Performance Journal ,19(1), s.43-50.
• Beatty, S. E., ve Ferrell, M. E. (1998). Impulse buying: Modeling its precursors. Journal of Retailing, 74(2), s.169-191.
• Bozaci, I. (2020). The effect of boredom proneness on smartphone addiction and impulse purchasing: A field study with young consumers in Turkey. The Journal of Asian Finance, Economics and Business, 7(7), s.509-517.
• Caplan, S. E. (2010). Theory and measurement of generalized problematic Internet use: A two-step approach. Computers in Human Behavior, 26(5), s.1089-1097.
• Chan, T. K., Cheung, C. M., ve Lee, Z. W. (2017). The state of online impulse-buying research: A literature analysis. Information and Management, 54(2), s.204-217.
• Chen, H., Wigand, R. T., ve Nilan, M. S. (1999). Optimal experience of web activities. Computers in Human Behavior, 15(5), 585-608.
• Chen, C., Zhang, K. Z., Gong, X., Zhao, S. J., Lee, M. K., ve Liang, L. (2017). Understanding compulsive smartphone use: An empirical test of a flow-based model. International Journal of Information Management, 37(5), s.438-454.
• Chen, C. C., ve Yao, J. Y. (2018). What drives impulse buying behaviors in a mobile auction? The perspective of the Stimulus-Organism-Response model. Telematics and Informatics, 35(5), s.1249-1262.
• Chen, C. D., Ku, E. C., ve Yeh, C. C. (2019). Increasing rates of impulsive online shopping on tourism websites. Internet Research, 29(4), s.900-920.
• Chen, T. Y., Yeh, T. L., ve Lee, F. Y. (2021). The impact of Internet celebrity characteristics on followers' impulse purchase behavior: the mediation of attachment and parasocial interaction. Journal of Research in Interactive Marketing, 15(3), s.483-501.
• Chopdar, P. K., ve Balakrishnan, J. (2020). Consumers response towards mobile commerce applications: SOR approach. International Journal of Information Management, 53, s.102106.
• Chopdar, P. K., Paul, J., Korfiatis, N., ve Lytras, M. D. (2022). Examining the role of consumer impulsiveness in multiple app usage behavior among mobile shoppers. Journal of Business Research, 140, s.657-669.
• Chiu, W., Oh, G. E., ve Cho, H. (2022). Impact of COVID‐19 on consumers' impulse buying behavior of fitness products: A moderated mediation model. Journal of Consumer Behaviour, 21(2), s.245-258.
• Choi, S. W., Kim, D. J., Choi, J. S., Ahn, H., Choi, E. J., Song, W. Y. ve Youn, H. (2015). Comparison of risk and protective factors associated with smartphone addiction and Internet addiction. Journal of Behavioral Addictions, 4(4), s.308-314.
• Chun, H., Lee, H., ve Kim, D. (2012). The integrated model of smartphone adoption: Hedonic and utilitarian value perceptions of smartphones among Korean college students. Cyberpsychology, Behavior, and Social Networking, 15(9), s.473-479.
• Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety. San Francisco: Jossey-Bass.
• Csikszentmihalyi, M. (1988). The flow experience and its significance for human psychology. Optimal experience: Psychological Studies of Flow in Consciousness, 2, s.15-35.
• Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. New York : Harper ve Row.
• Csikszentmihalyi, M., ve Asakawa, K. (2016). Universal and cultural dimensions of optimal experiences. Japanese Psychological Research, 58(1), s.4-13.
• Coppola, D. (2021). E-commerceworldwide-Statistics ve Facts. Statista. https://www.statista.com/topics /871/online-shopping/
• Dhandra, T. K. (2020). Does self-esteem matter? A framework depicting role of self-esteem between dispositional mindfulness and impulsive buying. Journal of Retailing and Consumer Services, 55, s.102135.
• Dhaundiyal, M., ve Coughlan, J. (2016). Investigating the effects of shyness and sociability on customer impulse buying tendencies: the moderating effect of age and gender. International Journal of Retail and Distribution Management, 44(9), s.923-939.
• Dhir, A., Kaur, P., ve Rajala, R. (2020). Continued use of mobile instant messaging apps: A new perspective on theories of consumption, flow, and planned behavior. Social Science Computer Review, 38(2), s.147-169.
• Djafarova, E., ve Bowes, T. (2021). ‘Instagram made me buy it’: Generation Z impulse purchases in fashion industry. Journal of Retailing and Consumer Services, 59, s.102345
• Dittmar, H., Beattie, J., ve Friese, S. (1996). Objects, decision considerations and self-image in men's and women's impulse purchases. Acta psychologica, 93(1-3), s.187-206.
• Elhai, J. D., Levine, J. C., ve Hall, B. J. (2019). The relationship between anxiety symptom severity and problematic smartphone use: A review of the literature and conceptual frameworks. Journal of Anxiety Disorders, 62, s.45-52.
• Elhai, J. D., Gallinari, E. F., Rozgonjuk, D., ve Yang, H. (2020). Depression, anxiety and fear of missing out as correlates of social, non-social and problematic smartphone use. Addictive Behaviors, 105, s.106335.
• Ettis, S. A. (2017). Examining the relationships between online store atmospheric color, flow experience and consumer behavior. Journal of Retailing and Consumer Services, 37, s.43-55.
• Fidan, H. (2016). Mobil bağımlılık ölçeği'nin geliştirilmesi ve geçerliliği: Bileşenler modeli yaklaşımı. Addicta: The Turkish Journal on Addictions, 3(3), s.433-469.
• Fornell, C., ve Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 18(3), s. 382-388.
• Gao, L., ve Bai, X. (2014). An empirical study on continuance intention of mobile social networking services: Integrating the IS success model, network externalities and flow theory. Asia Pacific Journal of Marketing and Logistics, 26(2), s.168-189.
• Ghani, J. A., ve Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human—computer interaction. The Journal of Psychology, 128(4), s.381-391.
• Gui, D. Y., Dai, Y., Zheng, Z., ve Liu, S. (2023). Losing control without your smartphone: Anxiety affects the dynamic choice process of impulsive decision-making and purchase. Frontiers in Neuroscience, 17, s.998017.
• Gupta, R., Nair, K., ve Radhakrishnan, L. (2021). Impact of COVID-19 crisis on stocking and impulse buying behaviour of consumers. International Journal of Social Economics, 48(12), s.1794-1809.
• Hair, J., Black, W.C., Babin, B. J., ve Anderson, R.E. (2010). Multivariate Data Analysis (7th Edition). NJ: Prentice-Hall Publication.
• Harun, A., Soon, L. T., Kassim, A. W. M., ve Sulong, R. S. (2015). Smartphone dependency and its impact on purchase behavior. Asian Social Science, 11(26), s.196.
• Hashmi, H. B. A., Shu, C., ve Haider, S. W. (2020). Moderating effect of hedonism on store environment-impulse buying nexus. International Journal of Retail and Distribution Management, 48(5), s.465-483.
• Hawi, N. S., ve Samaha, M. (2016). To excel or not to excel: Strong evidence on the adverse effect of smartphone addiction on academic performance. Computers and Education, 98, s.81-89.
• Hernández‐Neuta, I., Neumann, F., Brightmeyer, J., Ba Tis, T., Madaboosi, N., Wei, Q., ve Nilsson, M. (2019). Smartphone‐based clinical diagnostics: towards democratization of evidence‐based health care. Journal of Internal Medicine, 285(1), s.19-39.
• Hew, J. J., Leong, L. Y., Tan, G. W. H., Lee, V. H., ve Ooi, K. B. (2018). Mobile social tourism shopping: A dual-stage analysis of a multi-mediation model. Tourism Management, 66, s.121-139.
• Hoffman, D. L., ve Novak, T. P. (2009). Flow online: lessons learned and future prospects. Journal of Interactive Marketing, 23(1), s.23-34.
• Hu, E., Stavropoulos, V., Anderson, A., Scerri, M., ve Collard, J. (2019). Internet gaming disorder: Feeling the flow of social games. Addictive Behaviors Reports, 9, s.100140.
• Islam, T., Pitafi, A. H., Akhtar, N., ve Xiaobei, L. (2021). Determinants of purchase luxury counterfeit products in social commerce: the mediating role of compulsive internet use. Journal of Retailing and Consumer Services, 62, s.102596.
• Jo, H. S., Na, E., ve Kim, D. J. (2018). The relationship between smartphone addiction predisposition and impulsivity among Korean smartphone users. Addiction Research ve Theory, 26(1), s.77-84.
• Kaur, S. (2020). Internet gaming addiction: a gender-based study of Indian adolescents. International Journal of Indian Psychology, 8(2), s.49-52.
• Khang, H., Kim, J. K., ve Kim, Y. (2013). Self-traits and motivations as antecedents of digital media flow and addiction: The Internet, mobile phones, and video games. Computers in Human Behavior, 29(6), s.2416-2424.
• Kraiger, K., Billings, R. S., ve Isen, A. M. (1989). The influence of positive affective states on task perceptions and satisfaction. Organizational Behavior and Human Decision Processes, 44(1), s.12-25.
• Kim, Y. J., ve Han, J. (2014). Why smartphone advertising attracts customers: A model of Web advertising, flow, and personalization. Computers in Human Behavior, 33, s.256-269.
• Konok, V., Gigler, D., Bereczky, B. M., ve Miklósi, Á. (2016). Humans' attachment to their mobile phones and its relationship with interpersonal attachment style. Computers in Human Behavior, 61, s.537-547.
• Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), s.205-223.
• Kuyucu, M. (2017). Gençlerde akıllı telefon kullanımı ve akıllı telefon bağımlılığı sorunsalı: Akıllı telefon (kolik) üniversite gençliği. Global Media Journal TR Edition, 7(14), s.328-359.
• Larsen, R. J. (2000). Toward a science of mood regulation. Psychological Inquiry, 11(3), s.129-141.
• Lee, S., ve Jeong, M. (2012). Effects of e‐servicescape on consumers' flow experiences. Journal of Hospitality and Tourism Technology, 3(1), s.47-59.
• Lee, S. G., ve Shin, Y. H. (2016). Effects of self-directed feedback practice using smartphone videos on basic nursing skills, confidence in performance and learning satisfaction. Journal of Korean Academy of Nursing, 46(2), s.283-292.
• Lee, Y. J., Ha, S., ve Johnson, Z. (2019). Antecedents and consequences of flow state in e-commerce. Journal of Consumer Marketing, 36(2), s.264-275.
• Li, D., ve Browne, G. J. (2006). The role of need for cognition and mood in online flow experience. Journal of Computer Information Systems, 46(3), s.11-17.
• Lian, L., You, X., Huang, J., ve Yang, R. (2016). Who overuses Smartphones? Roles of virtues and parenting style in Smartphone addiction among Chinese college students. Computer Human Behavior ,65, s. 92–99.
• Lin, Y. H., Lin, Y. C., Lee, Y. H., Lin, P. H., Lin, S. H., Chang, L. R., ve Kuo, T. B. (2015). Time distortion associated with smartphone addiction: Identifying smartphone addiction via a mobile application (App). Journal of Psychiatric Research, 65, s.139-145.https://doi.org/10.1016/j. chb.2016.08.027.
• Liu, H., Chu, H., Huang, Q., ve Chen, X. (2016). Enhancing the flow experience of consumers in China through interpersonal interaction in social commerce. Computers in Human Behavior, 58, s.306-314.
• Mason, M. C., Zamparo, G., Marini, A., ve Ameen, N. (2022). Glued to your phone? Generation Z's smartphone addiction and online compulsive buying. Computers in Human Behavior, 136, s.107404.
• Mick, D. G., ve DeMoss, M. (1990). Self-gifts: Phenomenological insights from four contexts. Journal of Consumer Research, 17(3), s.322-332.
• Mishra, P., ve Datta, B. (2011). Perpetual asset management of customer-based brand equity-The PAM evaluator. Current Research Journal of Social Sciences, 3(1), s.34-43.
• Morris, W. N. (1992). A Functional Analysis of The Role of Mood in Affective Systems.
• Naeem, M. (2021). Understanding the customer psychology of impulse buying during COVID-19 pandemic: implications for retailers. International Journal of Retail and Distribution Management, 49(3), s.377-393.
• Nakamura, J., ve Csikszentmihalyi, M. (2002). The concept of flow. Handbook of Positive Psychology, 89, s.105.
• Nanda, A. P., ve Banerjee, R. (2021). Consumer’s subjective financial well‐being: A systematic review and research agenda. International Journal of Consumer Studies, 45(4), s.750-776.
• Noe, L.D. Turner, D.E.J. Linden, S.M. Allen, B. ve Winkens, R.M. (2019). Whitaker, Identifying indicators of smartphone addiction through user-app interaction. Technology in Society 62, s.56–65, https://doi.org /10.1016/j. chb.2019.04.023.
• Novak, T. P., Hoffman, D. L., ve Duhachek, A. (2003). The influence of goal‐directed and experiential activities on online flow experiences. Journal of Consumer Psychology, 13(1-2), s.3-16.
• Noyan, C. O., Darcin, A. E., Nurmedov, S., Yilmaz, O., ve Dilbaz, N. (2015). Validity and reliability of the Turkish version of the Smartphone Addiction Scale-Short version among university students/Akilli Telefon Bagimliligi Olceginin Kisa Formunun universite ogrencilerinde Turkce gecerlilik ve guvenilirlik calismasi. Anadolu Psikiyatri Dergisi, 16(S1), s.73-82.
• Olivencia-Carrión, M. A., Ramírez-Uclés, I., Holgado-Tello, P., ve López-Torrecillas, F. (2018). Validation of a Spanish questionnaire on mobile phone abuse. Frontiers in Psychology, 9, s.621.
• Otsuka, Y., Kaneita, Y., Itani, O., ve Matsumoto, Y. (2023). The Japanese youth version of the smartphone addiction scale Among the youth in Japan: Reliability and validity assessment. International Journal of Mental Health and Addiction, 21(1), s.292-307.
• Patwardhan, P., ve Yang, J. (2003). Internet dependency relations and online consumer behavior: A media system dependency theory perspective on why people shop, chat, and read news online. Journal of Interactive Advertising, 3(2), s.57-69. http://dx.doi.org/10.1080/15252019.2003.10722074.
• Raza, S. A., Yousufi, S. Q., Rafi, S. T., ve Javaid, S. T. (2020). Impact of smartphone addiction on students’ academic achievement in higher education institute of Pakistan. Journal of Education and Social Sciences, 8(1), s.1-14.
• Rook, D. W., ve Fisher, R. J. (1995). Normative influences on impulsive buying behavior. Journal of Consumer Research, 22(3), s.305-313.
• Sarıkaya, N., (2015). Hizmet Sunumunda Hizmet Sunumu ve Servicescape. Hizmet Pazarlaması ve Stratejileri. s.179-211.
• Schermelleh-Engel, K., Moosbrugger, H., ve Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research Online, 8(2), s.23-74.
• Seligman, M. E. P., ve Csikszentmihalyi, M. (2000). Positive psychology: An introduction. American Psychologist, 55(1), s.5–14. https://doi.org/10.1037/0003-066X.55.1.5
• Serra, G., Lo Scalzo, L., Giuffrè, M., Ferrara, P., ve Corsello, G. (2021). Smartphone use and addiction during the coronavirus disease 2019 (COVID-19) pandemic: cohort study on 184 Italian children and adolescents. Italian Journal of Pediatrics, 47(1), s.1-10.
• Teng, C. I., Huang, L. S., Jeng, S. P., Chou, Y. J., ve Hu, H. H. (2012). Who may be loyal? Personality, flow experience and customer e-loyalty. International Journal of Electronic Customer Relationship Management, 6(1), s.20-47.
• Tian, K., ve Belk, R. W. (2005). Extended self and possessions in the workplace. Journal of Consumer Research, 32(2), s.297-310.
• Turel, O., Serenko, A., ve Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. MIS quarterly, s.1043-1061.
• Vázquez‐Patiño, A., Campozano, L., Mendoza, D., ve Samaniego, E. (2020). A causal flow approach for the evaluation of global climate models. International Journal of Climatology, 40(10), 4497-4517.
• Verhagen, T., ve Van Dolen, W. (2011). The influence of online store beliefs on consumer online impulse buying: A model and empirical application. Information and Management, 48(8), s.320-327.
• Verplanken, B., ve Sato, A. (2011). The psychology of impulse buying: An integrative self-regulation approach. Journal of Consumer Policy, 34, s.197-210.
• Vonkeman, C., Verhagen, T., ve Van Dolen, W. (2017). Role of local presence in online impulse buying. Information and Management, 54(8), s.1038-1048.
• Yi, S., ve Jai, T. (2020). Impacts of consumers’ beliefs, desires and emotions on their impulse buying behavior: application of an integrated model of belief-desire theory of emotion. Journal of Hospitality Marketing and Management, 29(6), s.662-681.
• Wang, Z., Yang, X., ve Zhang, X. (2020). Relationships among boredom proneness, sensation seeking and smartphone addiction among Chinese college students: Mediating roles of pastime, flow experience and self-regulation. Technology in Society, 62, s.101319.
• Wu, Y., Xin, L., Li, D., Yu, J., ve Guo, J. (2021). How does scarcity promotion lead to impulse purchase in the online market? A field experiment. Information and Management, 58(1), s.103283.
• Zafar, A. U., Qiu, J., Shahzad, M., Shen, J., Bhutto, T. A., ve Irfan, M. (2021). Impulse buying in social commerce: bundle offer, top reviews, and emotional intelligence. Asia Pacific Journal of Marketing and Logistics, 33(4), s.945-973.
• Zhang, M. X., ve Wu, A. M. (2020). Effects of smartphone addiction on sleep quality among Chinese university students: The mediating role of self-regulation and bedtime procrastination. Addictive Behaviors, 111, s.106552.
• Zhang, W., Leng, X., ve Liu, S. (2020). Research on mobile impulse purchase intention in the perspective of system users during COVID-19. Personal and Ubiquitous Computing, s.1-9.
• Zheng, X., Men, J., Yang, F., ve Gong, X. (2019). Understanding impulse buying in mobile commerce: An investigation into hedonic and utilitarian browsing. International Journal of Information Management, 48, s.151–16.
• Zhu, W., Yan, R., ve Ding, Z. (2020). Analysing impulse purchasing in cross-border electronic commerce. Industrial Management and Data Systems, 120(10), s.1959-1974.