Dergiler / İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi / 2021 / Cilt: 20 Sayı: 42

BİREYLERİN KRİPTO PARA KULLANIMINA İLİŞKİN TUTUMLARI: TÜRKİYE'DEN BİR UYGULAMA

ATTITUDES OF INDIVIDUALS ABOUT USING CRYPTOCURRENCIES: EVIDENCE FROM TURKEY

Sibel Fettahoğlu(Kocaeli Üniversitesi İktisadi ve İdari Bilimler Fakültesi İşletme Bölümü)0000-0003-0783-9776
Özge Sayan(KOCAELİ ÜNİVERSİTESİ)0000-0001-8038-2923
Sayfa
1122–1146
Yayın Tarihi
2021-12-19
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Bulgular: Çalışma modeli, kripto para kullanımının en fazla algılanan faydadan etkilendiğini göstermiştir.

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Amaç & Hipotez:Amaç: Çalışmada, Türk katılımcıların kripto paraları kullanmakta neden istekli olduklarını veya neden tereddüt ettiklerini belirlemek ve kripto paraların kullanımını etkileyen faktörleri değerlendirmek amaçlanmaktadır.
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Temel Bulgular & Veri:Bulgular: Çalışma modeli, kripto para kullanımının en fazla algılanan faydadan etkilendiğini göstermiştir.
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Sonuç & Katkı:Özgünlük: Türkiye’de kripto para tutumuna yönelik bir araştırmaya rastlanılmamıştır.
🔬Tür:Uygulamalı Anket & Alan Araştırması
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Kripto para · bitcoin · algılanan risk

Özet

Amaç: Çalışmada, Türk katılımcıların kripto paraları kullanmakta neden istekli olduklarını veya neden tereddüt ettiklerini belirlemek ve kripto paraların kullanımını etkileyen faktörleri değerlendirmek amaçlanmaktadır. Yöntem: Çalışmada Türk bireylerin kripto para kullanımına dair tutumlarını analiz etmek için teknoloji kabul modeli (TAM) kullanılmıştır. Araştırma modelini test etmek için yapısal denklem (regresyon) modellemesi (SEM) kullanılmıştır. Analiz için AMOS ve SPSS programlarından yararlanılmıştır. Bulgular: Çalışma modeli, kripto para kullanımının en fazla algılanan faydadan etkilendiğini göstermiştir. Beklentilerin aksine, algılanan risk kullanım davranışı üzerinde önemli bir etki yaratmamıştır. Algılanan fayda ile merkezi olmayan yapılanma faktörü arasında nedensellik ilişkisi diğer fayda alt faktörlerinden daha fazla bulunmuştur. Algılanan kullanım kolaylığının kullanım davranışı ile çalışmada olumlu doğrudan bir ilişkisi yoktur. Algılanan kullanım kolaylığının algılanan fayda ile çalışmada olumlu bir ilişkisi vardır. Özgünlük: Türkiye’de kripto para tutumuna yönelik bir araştırmaya rastlanılmamıştır.

Abstract

Purpose: The study aimed to determine why Turkish participants are voluntary or hesitant to use cryptocurrencies and to assess which factors affected cryptocurrencies usage. Method: Technology acceptance model (TAM) was used in the study to analyze Turkish individuals’ cryptocurrency usage behavior. Structural equation (regression) modeling (SEM) was used to test the research model. AMOS and SPSS programs were used for analysis. Findings: The study model showed that cryptocurrency usage was exposed to the most effect by perceived benefit. Contrary to expectations, perceived risk did not make any significant effect on usage behavior. A causality relation between perceived benefit and decentralization factor was found more than other benefit sub-factors. Perceived ease of use had no positive direct relation with usage behavior in the study. Perceived ease of use had a positive relation with perceived benefit in the study.

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Bu Makaleye Atıf Yap

Fettahoğlu, S., Sayan, Ö. (2021). BİREYLERİN KRİPTO PARA KULLANIMINA İLİŞKİN TUTUMLARI: TÜRKİYE'DEN BİR UYGULAMA. İstanbul Ticaret Üniversitesi Sosyal Bilimler Dergisi, Cilt: 20 Sayı: 42, 1122–1146. https://doi.org/10.46928/iticusbe.793380

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Kaynakça (81)

  1. Abramova, S., & Böhme, R. (2016). Perceived Benefit and Risk as Multidimensional Determinants of Bitcoin Use: A Quantitative Exploratory Study. Thirty Seventh International Conference on Information Systems, 1-20. doi:10.17705 / 4icis.00001
  2. Ahamad, S., Nair, M., & Varghese, B. (2013). A Survey on Crypto Currencies. Paper presented at the International Conference on Advances in Computer Science.
  3. Akyildirim, E., Corbet, S., Lucey, B., Sensoy, A., & Yarovaya, L. (2019). The relationship between implied volatility and cryptocurrency returns. Finance Research Letters, -. doi:10.1016/j.frl.2019.06.010
  4. Ammous, S. (2018). Can cryptocurrencies fulfil the functions of money? Quarterly Review of Economics and Finance, 70, 38-51. doi:10.1016/j.qref.2018.05.010
  5. Arias-Oliva, M., Pelegrín-Borondo, J., & Matías-Clavero, G. (2019). Variables influencing cryptocurrency use: A technology acceptance model in Spain. Frontiers in Psychology, 10(MAR), 1-13. doi:10.3389/fpsyg.2019.00475
  6. Authority, T. E. B. (2014). The European Banking Authority Opinion on 'Virtual Currencies'.
  7. Bank, E. C. (2019). Crypto-assets – trends and implications.
  8. Bank, W. (2018). Europe and Central Asia Economic Update, May 2018: Cryptocurrencies and Blockchain., 1-98.
  9. Beer, C., & Weber, B. (2014). Bitcoin-The Promise and Limits of Private Innovation in Monetary and Payment Systems. Monetary Policy & The Economy, 4, 53-66. doi:ssrn.com/abstract=2556800
  10. Binance. (2019). Cryptocurrency Exchange. Retrieved from https://www.binance.com/en
  11. Bindseil, U. (2019). Central Bank Digital Currency: Financial System Implications and Control. International Journal of Political Economy, 48(4), 303-335. doi:10.1080/08911916.2019.1693160
  12. Bitfinex. (2019). Borsa ve Marjin Ticaret Platformu. Retrieved from https://www.bitfinex.com/
  13. Bitlo. (2019). Kripto Para Borsası Nedir? Retrieved from https://www.bitlo.com/rehber/kripto-para-borsasi-nedir
  14. Bitstamp. (2019). Buy and sell Bitcoin and Ethereum. Retrieved from https://www.bitstamp.net/
  15. BitTurk. (2019). Türkiye'nin Bitcoin ve Kripto Para Platformu. Retrieved from https://bitturk.com/
  16. Borsabit. (2019). Türkiye'nin Bitcoin ve Altcoin Borsası. Retrieved from https://borsabit.com/
  17. BtcTurk. (2019). Bitcoin ve Kripto Para Alım Satım Platformu. Retrieved from https://www.btcturk.com/
  18. Buchholz, K. (2019, 6). Chart: How Common is Crypto? Retrieved from https://www.statista.com/chart/18345/crypto-currency-adoption/
  19. Bullmann, D., Klemm, J., & Pinna, A. (2019). A Service of zbw In search for stability in crypto-assets: Are stablecoins the solution? Standard-Nutzungsbedingungen: Occasional Paper Series In search for stability in crypto-assets: are stablecoins the solution? ECB Occasional Paper, 230. doi:10.2866/969389
  20. Cex.io. (2019). Bitcoin Exchange. Retrieved from https://cex.io/
  21. Cheng, T. C. E., Lam, D. Y. C., & Yeung, A. C. L. (2006). Adoption of internet banking: An empirical study in Hong Kong. Decision Support Systems, 42(3), 1558-1572. doi:10.1016/j.dss.2006.01.002
  22. Coinbase. (2019). Bitcoin, Ethereum ve daha fazlasını güvenle alıp satın. Retrieved from https://www.coinbase.com/
  23. Coinmarketcap. (2019). Cryptocurrency Market Capitalizations. Retrieved from https://coinmarketcap.com/
  24. Conti, M., E, S. K., Lal, C., & Ruj, S. (2017, 6). A Survey on Security and Privacy Issues of Bitcoin. Paper presented at the IEEE Communications Surveys &Tutorials.
  25. Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28-34. doi:10.1016/j.econlet.2018.01.004
  26. Cummins, M., Lynn, T., Mooney, J. G., & Rosati, P. (2019). Palgrave Studies In Digital Business And Enabling Technologies Series Editors: Disrupting Finance FinTech and Strategy in the 21st Century. In (pp. 15-31): Palgrave McMillian.
  27. Çarkacioğlu, A. (2016). Kripto-Para Bitcoin. Sermaye Piyasası Kurulu Araştırma Dairesi. Araştırma Raporu.
  28. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982-1003. doi:10.1287/mnsc.35.8.982
  29. Dictionary, O. (Ed.) (2020) Oxford Advanced Learner's Dictionary.
  30. Dyhrberg, A. H., Foley, S., & Svec, J. (2018). How investible is Bitcoin? Analyzing the liquidity and transaction costs of Bitcoin markets. Economics Letters, 171, 140-143. doi:10.1016/j.econlet.2018.07.032
  31. Exmo. (2019). Cryptocurrency Exchange. Retrieved from https://exmo.com/en/
  32. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. Int. J. Human-Computer Studies, 59, 451-474. doi:10.1016/S1071-5819(03)00111-3
  33. Fornell, C., & Bookstein, F. L. (1982). Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory. Journal of Marketing Research, 19, 440-452. doi:10.2307/3151718
  34. Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18(1), 39-50. doi:10.2307/3151312
  35. Fortes, N., & Rita, P. (2016). Privacy concerns and online purchasing behaviour: Towards an integrated model. European Research on Management and Business Economics, 22(3), 167-176. doi:10.1016/j.iedeen.2016.04.002
  36. Frahat, R. T., Monowar, M. M., & Buhari, S. M. (2019). Secure and Scalable Trust ManagementModel for IoT P2P Network. Paper presented at the 2019 2nd International Conference on Computer Applications & Information Security (ICCAIS).
  37. Gemini. (2019). The Regulated Cryptocurrency Exchange. Retrieved from https://gemini.com/
  38. Global, B. (2019). The Next Generation Crypto-Currency Exchange. Retrieved from https://global.bittrex.com/
  39. Gunawan, F. E., & Novendra, R. (2017). An Analysis of Bitcoin Acceptance in Indonesia. ComTech: Computer Mathematics and Engineering Applications, 8(4), 241-247. doi:10.21512 / comtech.v8i4.3885
  40. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2013). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM).
  41. Hassani, H., Huang, X., & Silva, E. (2018). Big-Crypto: Big Data, Blockchain and Cryptocurrency. Big Data and Cognitive Computing, 2(4), 34. doi:10.3390/bdcc2040034
  42. He, D., Habermeier, K., Leckow, R., Haksar, V., Almeida, Y., Kashima, M.,. Jagatsing, K. (2016). International Monetary Fund: Virtual Currencies and Beyond: Initial Considerations (9781498363273).
  43. Kahraman, D. (2019). Kripto Varlık İşlem Platformu Düzenlemeleri. Türkiye Sermaye Birliği Piyasaları: Gösterge, Güz, 45-60.
  44. Karagöz, Y. (2016). SPSS 23 ve AMOS 23 Uygulamalı İstatistiksel Analizler. Ankara: Nobel Akademik.
  45. Karaslan, H. F. (2018, 2). Ripple (XRP) Nedir? Retrieved from https://steemkr.com/cointurk/@halilfatih/ripple-xrp-nedir-cointurk-11-projesi
  46. Kılınç, Ş. (2017). Ethereum Nedir, Bitcoin ile Arasındaki Farklar Nelerdir? Retrieved from https://www.webtekno.com/ethereum-ile-bitcoin-arasindaki-farklar-h38580.html
  47. Kim, C. Y., & Lee, K. (2018). Risk Management to Cryptocurrency Exchange and Investors Guidelines to Prevent Potential Threats. Paper presented at the 2018 International Conference on Platform Technology and Service (PlatCon).
  48. Kline, R. (2011). Principles and Practice of Structural Equation Modeling. NewYork: The Guilford Press.
  49. Koineks. (2019). Bitcoin Borsası. Retrieved from https://koineks.com/
  50. Koinim. (2019). Türkiye'nin kriptopara platformu. Retrieved from https://koinim.com/
  51. Kraken. (2019). Bitcoin & Cryptocurrency Exchange. Retrieved from https://www.kraken.com/en-us/
  52. Krombholz, K., Judmayer, A., Gusenbauer, M., & Weippl, E. (2016). The Other Side of the Coin: User Experiences with Bitcoin Security and Privacy. Financial Cryptography and Data Security. doi:10.1007/978-3-662-54970-4_33
  53. Kuisma, T., Laukkanen, T., & Hiltunen, M. (2007). Mapping the reasons for resistance to Internet banking: A means-end approach. International Journal of Information Management, 27(2), 75-85. doi:10.1016/j.ijinfomgt.2006.08.006
  54. Litecoin. (2019). Litecoin. Retrieved from https://litecoin.com/en/
  55. Localbitcoins. (2019). Fastest and easiest way to buy and sell bitcoins. Retrieved from https://localbitcoins.com/
  56. Mendoza-Tello, J. C., Mora, H., Pujol-López, F. A., & Lytras, M. D. (2018). Social Commerce as a Driver to Enhance Trust and Intention to Use Cryptocurrencies for Electronic Payments. IEEE Access, 6, 50737-50751. doi:10.1109/ACCESS.2018.2869359
  57. Nakamoto, S. (2008). Bitcoin: A Peer-to-Peer Electronic Cash System. Retrieved from www.bitcoin.org
  58. Narman, H. S., Uulu, A. D., & Liu, J. (2018). Profile Analysis for Cryptocurrency in Social Media. Paper presented at the International Symposium on Signal Processing and Information Technology (ISSPIT).
  59. OKCoin. (2019). Leading Global Digital Asset Exchange. Retrieved from https://www.okcoin.com/
  60. Paribu. (2019). Türkiye'nin En Büyük Bitcoin Borsası. Retrieved from https://www.paribu.com/#/
  61. Peters, G. W., Chapelle, A., & Panayi, E. (2014). Opening discussion on banking sector risk exposures and vulnerabilities from virtual currencies: An operational risk perspective. Journal of Banking Regulation, 17(4), 1-34. doi:10.1057/jbr.2015.10
  62. Rondan-Cataluña, F. J., Arenas-Gaitán, J., & Ramírez-Correa, P. E. (2015). A comparison of the different versions of popular technology acceptance models a non-linear perspective. Kybernetes, 44(5), 788-805. doi:10.1108/K-09-2014-0184
  63. Schueffel, P., Groeneweg, N., & Baldegger, R. (2019). The Crypto Encycplopedia Coins, Tokens and Digital Assets from A to Z. In The Crypto Encycplopedia (pp. 1-63).
  64. Shahzad, F., Xiu, G. Y., Wang, J., & Shahbaz, M. (2018). An empirical investigation on the adoption of cryptocurrencies among the people of mainland China. Technology in Society, 55, 33-40. doi:10.1016/j.techsoc.2018.05.006
  65. Sobhanifard, Y., & Sadatfarizani, S. (2019). Consumer-based modeling and ranking of the consumption factors of cryptocurrencies. Physica A: Statistical Mechanics and its Applications, 528. doi:10.1016/j.physa.2019.121263
  66. Stergiou, D. (2019). EOS Cryptocurrency Initial Coin Offering: A case study. Szmigiera, M. (2020, 2). Number of Blockchain wallets 2019 Retrieved from https://www.statista.com/statistics/647374/worldwide-blockchain-wallet-users/
  67. Tabachnick, B. G., & Fidell, L. S. (2013). Using Multivariate Statistics Boston: Pearson.
  68. Trends, G. (2019, 10). Bitcoin, ethereum, ripple, litecoin, bitcoin cash. Retrieved from https://trends.google.com.tr/trends/explore?date=2009-01-03%202019-10-03&geo=TR&q=Bitcoin,ethereum,ripple,litecoin,bitcoin%20cash
  69. Tschorsch, F., & Scheuermann, B. (2016, 7). Bitcoin and beyond: A technical survey on decentralized digital currencies. Paper presented at the IEEE Communications Surveys and Tutorials.
  70. Turkey, O. o. S. a. B. A. a. t. P. R. o. (2020). 2020 Presidency Annual Programme.
  71. Twentify. Araştırma Raporu (2018). Türkiye'nin Sanal Cüzdanı.
  72. Vebitcoin. (2019). Ripple-Algorand-Stellar Kripto Borsanız. Retrieved from https://www.vebitcoin.com/
  73. Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the Technology Acceptance Model: Four longitudinal field studies. Management Science, 46(2), 186-204. doi:10.1287/mnsc.46.2.186.11926
  74. Venkatesh, V., Smith, R. H., Morris, M. G., Davis, G. B., Davis, F. D., & Walton, S. M. (2003). User Acceptance of InformationTechnology: Toward a Unified View. MIS Quarterly, 27(3), 425-478. doi:10.2307/30036540
  75. Verkijika, S. F. (2020). An affective response model for understanding the acceptance of mobile payment systems. Electronic Commerce Research and Applications, 39. doi:10.1016/j.elerap.2019.100905
  76. Walton, A., & Johnston, K. (2018). Exploring perceptions of bitcoin adoption: The south african virtual community perspective. Interdisciplinary Journal of Information, Knowledge, and Management, 13, 165-182. doi:10.28945/4080
  77. Westland, J. C. (2015). Structural Equation Models. Switzerland: Springer International Publishing.
  78. Yermack, D. (2015). Is Bitcoin a Real Currency? An Economic Appraisal. In Handbook of Digital Currency: Bitcoin, Innovation, Financial Instruments, and Big Data (pp. 31-43): Elsevier Inc.
  79. Yılmaz, V., Can, Y., & Aras, N. (2019). Investigation of Attitude About Nuclear and Renewable Energy by Using Partial Least Squares Structural Equatıon Modeling. Alphanumeric Journal, 7(1), 87-102. doi:10.17093/alphanumeric.460563
  80. Bank, W. (2018). Europe and Central Asia Economic Update, May 2018: Cryptocurrencies and Blockchain., 1-98.
  81. He, D., Habermeier, K., Leckow, R., Haksar, V., Almeida, Y., Kashima, M.,. Jagatsing, K. (2016). International Monetary Fund: Virtual Currencies and Beyond: Initial Considerations (9781498363273).