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Adaptation of The Motivation to Avoid Duping Scale into turkish

Year 2025, Volume: 15 Issue: 1, 331 - 345, 27.03.2025
https://doi.org/10.30783/nevsosbilen.1622495

Abstract

As consumers are becoming more aware of deceptive marketing practices, it has become increasingly important to understand and measure this behavior. This study aims to adapt the Motivation to Avoid Duping Scale into Turkish to provide a reliable tool to measure Turkish consumers' sensitivity to deceptive marketing practices. In the adaptation process, it was important to consider the context rather than just a literal linguistic translation. Accordingly, the process of translating the scale from the original English text into Turkish was meticulously carried out with the help of certified translators, linguistic academics and Turkish Language and Literature expert, and the process was enriched with their suggestions. The research was conducted with 222 participants through online survey method. Confirmatory Factor Analysis (CFA) results revealed that the original factor structure of the scale retained the same robustness in the Turkish context. Reliability tests proved that the scale has high internal consistency, while validity analyses showed that it effectively measures consumers' motivations to avoid duping. This scale has not only made a significant contribution to the academic literature, but also paved the way for businesses to develop ethical strategies to increase consumer trust. The final version of the scale adapted into Turkish is a valuable resource for both researchers and practitioners as a critical tool for understanding consumers' conscious and self-protection-oriented approaches.

References

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Tüketicilerin Aldatılmayı Önleme Motivasyonu Ölçeği'nin türkçeye uyarlanması

Year 2025, Volume: 15 Issue: 1, 331 - 345, 27.03.2025
https://doi.org/10.30783/nevsosbilen.1622495

Abstract

Tüketiciler, aldatıcı pazarlama uygulamalarına karşı daha bilinçli bir duruş sergilerken, bu davranışı anlamak ve ölçmek gün geçtikçe daha önemli hale gelmiştir. Bu çalışma, Tüketicilerin Aldatılmayı Önleme Motivasyonu Ölçeği’ni Türkçeye uyarlayarak, Türk tüketicilerinin bu konudaki hassasiyetlerini ölçmek için güvenilir bir araç sunmayı hedeflemektedir. Uyarlama sürecinde, yalnızca birebir dilsel çeviriden ziyade bağlamın da dikkate alınmasına önem verilmiştir. Bu doğrultuda ölçeğin İngilizce orijinal metninden Türkçeye çevirisi sürecinde, yeminli tercüman ve dil uzmanı akademisyenler ve Türk Dili ve Edebiyatı uzmanından yardım alınarak süreç titizlikle yürütülmüş ve önerileriyle zenginleştirilmiştir. Araştırma, çevrim içi anket yöntemiyle 222 katılımcıyla gerçekleştirilmiştir. Doğrulayıcı Faktör Analizi (DFA) sonuçları, ölçeğin orijinal faktör yapısının Türkçe bağlamında da aynı sağlamlığı koruduğunu ortaya koymuştur. Güvenilirlik testleri, ölçeğin yüksek iç tutarlılığa sahip olduğunu kanıtlarken, geçerlilik analizleri tüketicilerin aldatılmayı önleme motivasyonlarını etkili bir şekilde ölçtüğünü göstermiştir. Bu ölçek, yalnızca akademik literatüre önemli bir katkı sunmakla kalmamış, aynı zamanda işletmelerin tüketici güvenini artırmaya yönelik etik stratejiler geliştirmesine zemin hazırlamıştır. Türkçeye uyarlanan ölçeğin son hali tüketicilerin bilinçli ve kendilerini koruma odaklı yaklaşımlarını anlamak için kritik bir araç olarak hem araştırmacılar hem de uygulayıcılar için değerli bir kaynak oluşturmaktadır.

Ethical Statement

Çalışmada etik dışı bir husus bulunmadığını, araştırma ve yayın etiğine özenle uyulduğunu beyan ederim.

Supporting Institution

Yazar bu makalenin araştırılması, yazılması ve/veya yayınlanması için herhangi bir mali destek almamıştır.

Thanks

Bu çalışma kapsamında ölçeğin İngilizce ve Türkçe çevirilerinde ve Türkçe dil uygunluğunun değerlendirilmesinde verdikleri destekle katkı sağlayan Dr. Öğr. Üyesi Rıfgı Buğra Bağcı, Umut Ünal ve Ercan Saraçoğlu'na teşekkürlerimi sunarım.

References

  • Anderson, E. T., & Simester, D. (2014). Reviews Without a Purchase: Low Ratings, Loyal Customers, and Deception. Journal of Marketing Research, 51(3), 249–269. https://doi.org/10.1509/jmr.13.0209
  • Antonetti, P., Baines, P., & Walker, L. (2015). From Elicitation to Consumption: Assessing the Longitudinal Effectiveness of Negative Emotional Appeals in Social Marketing. Journal of Marketing Management, 31(9–10), 940–969. https://doi.org/10.1080/0267257x.2015.1031266
  • Arli, D., Leo, C., & Tjiptono, F. (2015). Investigating the Impact of Guilt and Shame Proneness on Consumer Ethics: A Cross National Study. International Journal of Consumer Studies, 40(1), 2–13. https://doi.org/10.1111/ijcs.12183
  • Arora, S., & Sahney, S. (2019). Examining Consumers’ Webrooming Behavior: An Integrated Approach. Marketing Intelligence & Planning, 37(3), 339–354. https://doi.org/10.1108/mip-05-2018-0152
  • Azimi, S., & Andonova, Y. (2023). Did You Find This Review Helpful? Marketing Intelligence & Planning, 41(3), 329–343. https://doi.org/10.1108/mip-08-2022-0365
  • Azimi, S., Chan, K., & Красников, А. В. (2022). How Fakes Make It Through: The Role of Review Features Versus Consumer Characteristics. Journal of Consumer Marketing, 39(5), 523–537. https://doi.org/10.1108/jcm-04-2021-4597
  • Baumgartner, H., & Homburg, C. (1996). Applications of structural equation modeling in marketing and consumer research: A review. International Journal of Research in Marketing, 13(2), 139–161. https://doi.org/10.1016/0167-8116(95)00038-0
  • Berdysheva, E., & Romanova, R. (2017). Rethinking Prices During an Economic Crisis: Calculation as a New Mode of Consumer Behaviour in Russia. International Journal of Consumer Studies, 41(4), 397–403. https://doi.org/10.1111/ijcs.12366
  • Bollen, K. A. (1989). Structural equations with latent variables. Wiley Interscience.
  • Böhm, S., Carrington, M., Cornelius, N., de Bruin, B., Greenwood, M., Hassan, L. M., Jain, T., Karam, C. M., Kourula, A., Romani, L., Riaz, S., & Shaw, D. (2022). Ethics at the centre of global and local challenges: Thoughts on the future of business ethics. Journal of Business Ethics. https://doi.org/10.1007/s10551-022-05239-2
  • Bozkurt, S., & Gligor, D. (2019). Customers’ behavioral responses to unfavorable pricing errors: The role of perceived deception, dissatisfaction, and price consciousness. Journal of Consumer Marketing. https://doi.org/10.1108/jcm-06-2018-2726
  • Cha, E. S., Kim, K. H., & Erlen, J. A. (2007). Translation of scales in cross‐cultural research: issues and techniques. Journal of Advanced Nursing, 58(4), 386-395.
  • Chatterjee, S., Mishra, D. P., Lee, J. J., & Shibly, S. A. (2021). Suspecting Service Overprovisions: How Market Signals Help Restore Personal Control and Reduce Decision Deferrals. Journal of Consumer Marketing, 38(7), 766–779. https://doi.org/10.1108/jcm-12-2020-4280
  • DeLiema, M., Li, Y., & Mottola, G. R. (2022). Correlates of responding to and becoming victimized by fraud: Examining risk factors by scam type. International Journal of Consumer Studies, 47(3), 1042–1059. https://doi.org/10.1111/ijcs.12886
  • Domenico, G. D., Nunan, D., Sit, J., & Pitardi, V. (2021). Free but Fake Speech: When Giving Primacy to the Source Decreases Misinformation Sharing on Social Media. Psychology and Marketing, 38(10), 1700–1711. https://doi.org/10.1002/mar.21479
  • Escadas, M., Jalali, M., & Farhangmehr, M. (2020). What Goes Around Comes Around: The Integrated Role of Emotions on Consumer Ethical decision‐making. Journal of Consumer Behaviour, 19(5), 409–422. https://doi.org/10.1002/cb.1847
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
  • Garnefeld, I., Eggert, A., Husemann-Kopetzky, M., & Böhm, E. (2019). Exploring the link between payment schemes and customer fraud: A mental accounting perspective. Journal of the Academy of Marketing Science, 47(4), 595–616. https://doi.org/10.1007/s11747-019-00653-x
  • Göbel, F., Meyer, A., & Bartsch, S. (2017). Consumer responses to covert advertising in social media. Marketing Intelligence & Planning. https://doi.org/10.1108/mip-11-2016-0212
  • Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185–214. https://doi.org/10.1080/07421222.2001.11045669
  • Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning EMEA.
  • Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). An introduction to structural equation modeling. In Partial least squares structural equation modeling (PLS-SEM) (pp. 1–29). Springer. https://doi.org/10.1007/978-3-030-80519-7_1
  • Hasford, J., Kidwell, B., Hardesty, D. M., & Farmer, A. (2021). Your cheatin' heart: How emotional intelligence and selfishness impact the incidence of consumer fraud. Journal of Consumer Research, 49(1), 112–131. https://doi.org/10.1093/jcr/ucab047
  • He, H., & Mukherjee, A. (2007). I am, ergo I shop: Does store image congruity explain shopping behavior of Chinese consumers? Journal of Marketing Management, 23(5–6), 443–460.
  • Hook, M., Baxter, S., & Kulczynski, A. (2016). Children’s Participation in Brand‐based Social Networks: Examining the Role of Evaluative Social Identity, Self‐esteem and Anticipated Emotions on Commitment and Desire to Recommend. International Journal of Consumer Studies, 40(5), 552–561. https://doi.org/10.1111/ijcs.12300
  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
  • Husnain, M. (2025). Facebook Second‐Hand Marketplace Browsing Influence on Impulse Buying: A Mixed‐Methods Study. International Journal of Consumer Studies, 49(1). https://doi.org/10.1111/ijcs.70019
  • Hüttl-Maack, V., Sedghi, T. M., & Daume, J. (2023). Through Rose‐tinted Glasses: How Inducing and Resolving Curiosity Makes Consumers Less Skeptical and Improves Their Product Evaluations. Journal of Consumer Psychology, 34(1), 92–100. https://doi.org/10.1002/jcpy.1369
  • Kavak, B., Gürel, E., Eryiğit, C., & Tektaş, Ö. Ö. (2009). Examining the effects of moral development level, self-concept, and self-monitoring on consumers’ ethical attitudes. Journal of Business Ethics.https://doi.org/10.1007/s10551-009-0114-0
  • Khan, S., Fazili, A. I., & Bashir, I. (2022). I Feel So Embarrassed, Still, I Want It! The Self-Presentational Dilemma of Counterfeit Luxury Buyers. Journal of Consumer Marketing, 40(1), 87–101. https://doi.org/10.1108/jcm-11-2020-4236
  • Kim, K., Lee, S. T., & Kim, H. (2021). Gender differences in financial knowledge overconfidence among older adults. International Journal of Consumer Studies, 46(4), 1223–1240. https://doi.org/10.1111/ijcs.12754
  • Lawrence, J. M., Scheer, L. K., Crecelius, A. T., & Lam, S. K. (2021). Salesperson Dual Agency in Price Negotiations. Journal of Marketing, 85(2), 89–109. https://doi.org/10.1177/0022242920974611
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There are 59 citations in total.

Details

Primary Language Turkish
Subjects Consumer Behaviour
Journal Section Business Administration
Authors

Mertcan Taşçıoğlu 0000-0003-4024-2453

Early Pub Date March 26, 2025
Publication Date March 27, 2025
Submission Date January 18, 2025
Acceptance Date March 6, 2025
Published in Issue Year 2025 Volume: 15 Issue: 1

Cite

APA Taşçıoğlu, M. (2025). Tüketicilerin Aldatılmayı Önleme Motivasyonu Ölçeği’nin türkçeye uyarlanması. Nevşehir Hacı Bektaş Veli Üniversitesi SBE Dergisi, 15(1), 331-345. https://doi.org/10.30783/nevsosbilen.1622495