Journals / Istanbul University Journal of Electrical and Electronics Engineering / 2009 / Cilt: 9 - Sayı: 2

The measurement of switching costs as a perception of customers in the Turkish credit card market

Pages
1015–1028
Publication Date
2022-10-18
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

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

Psychological switching costs were found to be the most important factor.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Nowadays, protecting market share against rival firms is more important than ever due to the decline in market growth rate and the increase in the competition.
📊
Key Findings & Data:Switching costs are one of the strategies for reaching this goal.
💡
Conclusion & Impact:Psychological switching costs were found to be the most important factor.
🔬Design:Survey & Empirical Study
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Nowadays, protecting market share against rival firms is more important than ever due to the decline in market growth rate and the increase in the competition. The main requirement for protecting market share is to create loyal customers. Switching costs are one of the strategies for reaching this goal. Switching costs are important factors in terms of both banks and customers. Switching costs occur, when a customer prefers a different brand in his new purchasing decision process and they contain financial, procedural and psychological dimensions. In this study, the aim is to develop a third-order measurement model with all the dimensions. Such dimension as multi-dimensional switching costs is used to determine switching costs value of subscribers in Turkish credit card market. We also examined the existing studies in literature on switching costs with regard to credit cards. It may have been previously studied but in the literature we didn’t come across any metrics for measuring the switching costs and perception costs of the customers in considering three dimensions of this structure or model. We developed a third-order measuring model and tested the third-order measurement model’s validity and reliability and it was verified using exploratory and confirmatory factor analysis. We used a survey of switching costs and perception costs associated with the banks and credit card users. The survey was sent to 1020 credit card users. 450 users responded to the survey. A return rate of the survey was 45%. Psychological switching costs were found to be the most important factor.

🔖

Cite This Article

ÖZER, G., KAZAN, H., DOĞRUER, M. C., AYDIN, S. (2022). The measurement of switching costs as a perception of customers in the Turkish credit card market. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 9 - Sayı: 2, 1015–1028. https://ajindex.com/articles/543746

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (14)

  1. D.A. Aaker, “The Value of Brand Equity”, Journal of Business Strategy, Vol:13 July/August, 1992, pp. 27-32
  2. J.W. Alba and J.W. Hutchinson, “Dimensions of Consumer Expertise,” Journal of Consumer Research, Vol:13, March, 1987, pp 411-454
  3. J.C. Anderson, and D.W. Gerbing, “Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach”, Psychological Bulletin, Vol:103, 1988, pp. 411- 423
  4. Ö. Arasıl, E. Karaçuha, G. Özer, S, Aydın, “Türk GSM sektöründe müşteri sadakati, memnuniyeti, güven ve değiştirme maliyeti arasındaki dinamik ilişkiler: Yapısal denklem modelleme tekniği,” İktisat, İşletme ve Finans, Haziran, 2004, pp. 46-61
  5. S. Aydin, G. Özer, and Ö. Arasıl, “Customer loyalty and the effect of switching costs as a moderator variable in the Turkish mobile phone market”, Marketing Intelligence and Planning, Vol:23, No:1, 2005, pp. 89-103
  6. S. Aydın, “Türk GSM Sektöründe Müşteri Sadakatinin Belirleyicileri ve Değiştirme Maliyetleri Arasındaki İlişkilerin Analizi”, Yayınlanmamış Doktora Tezi, GYTE Sosyal Bilimler Enstitüsü
  7. A. Beggs, and P. Klemperer, “Multi-Period Competition With Switching Costs”, Econometrica, Vol:60, No:3, 1992, pp. 651-666
  8. J.R. Bettman, “Perceived Risk and Its Components: A Model and Empirical Test”, Journal of Marketing Research, Vol:10, May, 1973, pp. 184-190
  9. J. Bloemer, K. Ruyter, and M. Wetzels, “On The Relationship Between Perceived Service Quality, Service Loyalty and Switching Costs”, International Journal of Industry Management, Vol:9, No:5, 1998, pp. 436-453
  10. S. Borenstein, “Selling Costs and Switching Costs: Explaining Gasoline Margins”, Rand Journal of Economics, Vol: 22, 1991, pp. 354-369
  11. T.A. Burnham, J.F. Frels, and V. Mahajan, “Consumer Switching Costs: A Typology, Antecedents and Consequences”, Journal of The Academy of Marketing Science, Vol:31, No:2, 2003, pp. 109-126
  12. P.S. Calem, and L.J. Mester, “Consumer Behavior and Stickiness of Credit Card Interest Rates,” American Economic Review, Vol:85, No:5, December, 1995, pp.1327-1336 [13] G.A. Jr. Churchill, “A Paradigm for Developing Better Measures of Marketing Constructs”, Journal of Marketing Research, Vol:16, February, 1979, pp. 64-73
  13. L.F. Cunningham, and M. Lee, “A Cost/Benefit Approach to Understanding Service Loyalty”, Journal of Services Marketing, Vol:15, No:2, 2001, pp. 113-130
  14. K.G. Elzinga, and D.E. Mills, “Switching Costs in the Wholesale Distribution of Cigarettes”, Southern