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Journals / Addicta: The Turkish Journal on Addictions / 2017 / Cilt: 4 - Sayı: 2

Testing Models Regarding Online Shopping Addiction

Ayten Doğan KESKİN
SELİM GÜNÜÇ
Pages
221–242
DOI
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AI Summary & Key Takeaways

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

Meanwhile, the paths have been determined to be from stress to hedonic shopping in Model-1 and from stress to depression in Model-II

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to examine why adults prefer online shopping and which factors lead to online shopping addiction.
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Key Findings & Data:The data has been collected from 105 adults using the snowball sampling method.
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Conclusion & Impact:Meanwhile, the paths have been determined to be from stress to hedonic shopping in Model-1 and from stress to depression in Model-II
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

The aim of this study is to examine why adults prefer online shopping and which factors lead to online shopping addiction. The study has been carried out using the screening model, a quantitative research method. Certain variables in the study have been identified in light of the qualitative findings, with theoretical models being developed in the first part of the study. These models are then tested quantitatively in the second part of the study. The data has been collected from 105 adults using the snowball sampling method. Path analysis has been conducted to analyze the data. After obtaining the variables regarding online shopping (i.e., ease of use, usefulness, pleasure, stress, and depression), several models were developed in consideration of the related literature. In Model-I, the variables of stress, depression, ease of use, and usefulness predict hedonic shopping, while in Model-II, the variables of stress, ease of use, usefulness, and hedonic shopping predict depression. Meanwhile, the paths have been determined to be from stress to hedonic shopping in Model-1 and from stress to depression in Model-II

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Cite This Article

KESKİN, A. D., GÜNÜÇ, S. (2017). Testing Models Regarding Online Shopping Addiction. Addicta: The Turkish Journal on Addictions, Cilt: 4 - Sayı: 2, 221–242. https://ajindex.com/articles/127522

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References (13)

  1. Akram, U., Hui, P., Khan, M. K., Hashim, M., & Saduzai, S. K. (2017). Impulsive buying: A Qualitative investigation of the phenomenon. Proceedings of the Tenth International Conference on Management Science and Engineering Management (pp. 1383–1399). Singapore: Springer. Retrieved from https://link.springer.com/chapter/10.1007/978-981-10-1837-4_112
  2. American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (DSM-5®). Arlington, VA: Author. Archer, N., & Yuan, Y. (2000). Managing business-to-business relationships throughout the e-commerce procurement life cycle. Internet Research, 10(5), 385–395.
  3. Australian Retailers Association. (2000). The way we shop 2000: Grocery shopping in Australia. Sydney, NSW: AC Nielsen. Aydın, S. (2009). Relations between individualist-collectivist, idealist relativist and materialist tendencies and hedonic shopping (Doctoral dissertation, Afyon Kocatepe University, The Institute of Social Sciences Department of Management, Afyonkarahisar, Turkey). Retrieved from https://tez.yok.gov.tr/UlusalTezMerkezi/
  4. 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.
  5. Beck, A. (1975). Quantitative rating of depressive states. Acta Psychiatrica Scandinavica, 51(3), 161–170.
  6. Beck, A. T. (1984). Internal consistencies of the original and revised BDI. Journal of Clinical Psychology, 40(6), 1365–1367.
  7. Beck, A. T., & Beamesderfer, A. (1974). Assessment of depression: The Depression Inventory. Pharmacopsychiatry, 7, 151–169. https://dx.doi.org/10.1159/000395074
  8. Beck, A. T., Ward, C. H., Mendelson, M., Mock, J., & Erbaugh, J. (1961). An inventory for measuring depression. Archives of General Psychology, 4(6), 561–571.
  9. Benbir, G., Poyraz, C. A., & Apaydın, H. (2014). Diagnostic approach to behavioral or “Non- Substance” addictions. Nobel Medicus, 10(1), 5–11.
  10. Bidgoli, H. (2002). Electronic commerce: Principles and practice. San Diego, CA: Academic Press.
  11. Black, D. W. (1996). Compulsive buying: A review. Journal of Clinical Psychiatry, 57, 50–54.
  12. Black, D. W., Monahan, P., & Gabel, J. (1997). Fluvoxamine in the treatment of compulsive buying. The Journal of Clinical Psychiatry, 58(4), 159–163.
  13. Black, D. W., Repertinger, S., Gaffney, G. R., & Gabel, J. (1998). Family history and psychiatric comorbidity in persons with compulsive buying: Preliminary findings. American Journal of Psychiatry, 155(7), 960–963. B