Akıllı Telefon Bağımlılığı ve Ruh Hali Düzenlemenin Akış Deneyimi Aracılığı ile Çevrimiçi Anlık Satın Alma Davranışındaki Rolü
Yıl 2024,
, 780 - 797, 31.07.2024
Özsev Berk
,
Remzi Altunışık
,
Nilgün Sarıkaya
Öz
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.
Etik Beyan
Etik beyan ek dosya olarak yüklenmiştir.
Destekleyen Kurum
Sakarya Üniversitesi
Kaynakça
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- 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.
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size in survey research. Information Technology, Learning, and Performance Journal ,19(1), s.43-50.
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- 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.
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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.
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Addictions, 4(4), s.308-314.
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The Role of Smartphone Addiction and Mood Regulation in Online Impulse Buying Behavior via Flow Experience
Yıl 2024,
, 780 - 797, 31.07.2024
Özsev Berk
,
Remzi Altunışık
,
Nilgün Sarıkaya
Öz
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.
Kaynakça
- 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
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