Vol. 9 No. 3 (2021): Business & Management Studies: An International Journal
Articles

A study on the big data analytics technology resistance of accountants

PDF (Turkish)
  • Mehmet Yücenurşen
Mehmet Yücenurşen
Assoc. Prof. Dr., Aksaray University

Published 2021-09-24

Keywords

  • Veri Analitiği,
  • Değişime Direnç,
  • Statüko Yanlılığı Teorisi
  • Data Analytics,
  • Resistance to Change,
  • Status Quo Bias Theory

How to Cite

A study on the big data analytics technology resistance of accountants. (2021). Business & Management Studies: An International Journal, 9(3), 1088-1103. https://doi.org/10.15295/bmij.v9i3.1882

Copyright (c) 2021 Mehmet Yücenurşen

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

A study on the big data analytics technology resistance of accountants. (2021). Business & Management Studies: An International Journal, 9(3), 1088-1103. https://doi.org/10.15295/bmij.v9i3.1882

Abstract

This study examines the factors that cause new data analytics technology resistance of professional accountants within the Status Quo Bias Theory framework. In the study, Certified Public Accountants (CPA) operating in Aksaray province were determined as the population, and a questionnaire was applied to 100 accounting professionals. In the analysis of the obtained data, descriptive statistics, exploratory factor analysis and path analysis were performed. Obtained findings show that perceived value, switching costs, and colleague opinions effectively resist change.

PDF (Turkish)

References

  1. Agyekum, A. A., & Singh, R. P. (2018). How Technology is Changing Accounting Processes: Institutional Theory and Legitimacy Theory Perspective. Journal of Accounting and Finance, 18(7), 11-23.
  2. Ajzen, I. (2002). Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behaviour. Journal of Applied Social Psychology (32), 665-683.
  3. Akdoğan, N., & Akdoğan, M. U. (2018). Büyük veri- Bilişim Teknolojisindeki Gelişmelerin Muhasebe Uygulamarına ve Muhasebe Mesleğine Etkisi. Muhasebe ve Denetime Bakış, 18(55), 1-14.
  4. Aktan, E. (2018). Büyük Veri: Uygulama Alanları, Analitiği ve Güvenlik Boyutu. Bilgi Yönetimi Dergisi, 1(1), 1-22.
  5. Ballou, B., Heitger, D. L., & Stoel, D. (2018). Data-Driven Decision-Making and its Impact on Accounting Undergraduate Curriculum. Journal of Accounting Education (44), 14-24.
  6. Beder, N. (2021). Muhasebe Meslek Mensuplarının Yeni Dünya ile İmtihanı. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 21(1), 163-184.
  7. Cainas, J. M., Tietz, W. M., & Miller-Nobles, T. (2021). KAT Insurance: Data Analytics Cases for Introductory Accounting Using Excel, Power BI, and/or Tableau. Journal of Emerging Technologies in Accounting, 18(1), 77-85.
  8. Cao, M., Chychyla, R., & Stewart, T. (2015). Big Data Analytics in Financial Statement Audits. Accounting Horizons, 29(2), 423-429.
  9. Compeau, D., Higgins, C. A., & Huff, S. (1999). Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study. MIS Quarterly, 23(2), 145-158.
  10. Dursun, G. D., Ektik, D., & Tutcu, B. (2019). Mesleğin Dijitalleşmesi: Muhasebe 4.0. Avrasya Sosyal ve Ekonomi Araştırmaları Dergisi, 6(6), 263-271.
  11. Dzuranin, A. C., Jones, J. R., & Olvera, R. M. (2018). Infusing Data Analytics into the Accounting Curriculum: A Framework and Insights from Faculty. Journal of Accounting Education(43), 24-39.
  12. Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived Organizational Support. Journal of Applied Psychology, 71(3), 500-507.
  13. Fan, Y.-W., Chen, C.-D., Wu, C.-C., & Fang, Y.-H. (2015). The Effect of Status Quo Bias on Cloud System Adoption. Journal of Computer Information Systems, 55(3), 55-64.
  14. Frey, C. B., & Osborne, M. (2013). The Future of Employment. Oxford: Oxford Martin Programme on Technology and Employment.
  15. Hutchison, S. (1997). A Path Model of Perceived Organizational Support. Journal of Social Behavior and Personality, 12(1), 159-174.
  16. Kılıç, B. İ. (2019). Muhasebe, Finans ve Denetim Alanlarında Ön Plana Çıkan Büyük Veri Analiz Teknikleri ve Teknolojileri. Uluslararası Yönetim, Ekonomi ve Politika Kongresi, (s. 498-511). İstanbul.
  17. Kahneman, D. (2015). Hızlı ve Yavaş Düşünme. İstanbul: Varlık Yayınları.
  18. Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision Under Risk. Econometrica, 47(2), 263-292.
  19. Kim, H.-W. (2011). The Effects of Switching Costs on User Resistance to Enterprise Systems Implementation. IEEE Transactions on Engineering Management, 58(3), 471-482.
  20. Kim, H.-W., & Kankanhalli, A. (2009). Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. MIS Quarterly, 33(3), 567-582.
  21. Oktay, E., Akıncı, M. M., & Karaaslan, A. (2012). Yol Analizi Yardımıyla Dersler Arasındaki Etkileşimin Araştırılması: Atatürk Üniversitesi İktisadi ve İdari Bilimler Fakültesi İşletme Bölümünde Okutulan Dersler Üzerine Bir Uygulama. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 26(3-4), 67-83.
  22. Özer, G., Özcan, M., & Aktaş, S. (2010). Muhasebecilerin Bilgi Teknolojisi Kullanımının Teknoloji Kabul Modeli (TKM) ile İncelenmesi. Journal of Yasar University, 5(19), 3278 - 3293.
  23. Pardo del Val, M., & Martinez Fuentes, C. (2003). Resistance to Change: A Literature Review and Empirical Study. Management Decision, 41(2), 148-155.
  24. Pehlivanlı, E. A. (2020). Öncülleri ve Ardılları ile İşkoliklik. A. Yalçın (Ed.), Yönetim Bilimleri (s. 67-82). Ankara: Akademisyen Kitabevi.
  25. Rajaraman, V. (2016). Big Data Analytics. Resonance(Ağustos), 695-716.
  26. Richins, G., Stapleton, A., Stratopoulos, T. C., & Wong, C. (2017). Big Data Analytics: Opportunity or Threat for the Accounting Profession? Journal of Information Systems, 31(3), 63-79.
  27. Saunders, M., Lewis, P., & Thornhill, A. (2007). Research Methods for Business Students. Essex: Pearson Education.
  28. Schmidt, P. J., Church, K. S., & Riley, J. (2020). Clinging to Excel as a Security Blanket: Investigating Accountants’ Resistance to Emerging Data Analytics Technology. Journal of Emerging Technologies n Accounting, 17(1), 33-39.
  29. Schmidt, P. J., Riley, J., & Church, K. S. (2020). Investigating Accountants’ Resistance to Move beyond Excel and Adopt New Data Analytics Technology. Accounting Horizons, 34(4), 165-180.
  30. Schneider, G. P., Dai, J., Janvrin, D. J., Ajayi, K., & Raschke, R. L. (2015). Infer, Predict, and Assure: Accounting Opportunities in Data Analytics. Accounting Horizons, 29(3), 719-742.
  31. Setiaputri, S., & Kuntara, A. D. (2019). The Role of Perceived Value, Switching Cost, and Self-Efficacy for Change Toward User Resistance of Parish Accounting Software. International Conference on Rural Development and Entrepreneurship 2019: Enhancing Small Business and Rural Development Toward Industrial Revolution 4.0, (s. 1083-1094).
  32. Shittu, A. T., Gambari, A. I., & Obielodan, O. O. (2016). Resistance to Change, Perceived Value, Self Efficacy and Attitude Towards Use of Information Technology for Teaching among Primary School Teachers in Ilorin, Nigeria. Benue State University Journal of Education, 16(1), 270-273.
  33. Tong, Y., Tan, S. S.-L., & Teo, H.-H. (2015). The Road to Early Success: Impact of System Use in the Swift Response Phase. Information Systems Research, 26(2), 418-436.
  34. Tsai, C.-W., Lai, C.-F., Chao, H.-C., & Vasilakos, A. V. (2015). Big Data Analytics: A Survey. Journal of Big Data, 2(21), 1-32.
  35. Vasarhelyi, M. A., Kogan, A., & Tuttle, B. M. (2015). Big Data in Accounting: An Overview. Accounting Horizons, 29(2), 381-396.
  36. Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186-204.
  37. Warren Jr., J. D., Moffitt, K. C., & Byrnes, P. (2015). How Big Data Will Change Accounting. Accounting Horizons, 29(2), 397-407.
  38. William Lewis, R. A., & Sambamurthy, V. (2003). Sources of Influence on Beliefs about Information Technology Use: An Empirical Study of Knowledge Workers. MIS Quarterly, 27(4), 657-678.
  39. Yaşlıoğlu, M. M. (2017). Sosyal Bilimlerde Faktör Analizi ve Geçerlilik: Keşfedici ve Doğrulayıcı Faktör Analizlerinin Kullanılması. Istanbul University Journal of the School of Business(46), 74-85.
  40. Yardımcıoğlu, M., Karahan, M., & Yörük, A. (2019). Dijitalleşme Işığında Muhasebe Mesleğinin Geleceği. Muhasebe Enstitüsü Dergisi(61), 35-46.
  41. Zakir, J., Seymour, T., & Berg, K. (2015). Big Data Analytics. Issues in Information Systems, 16(2), 81-90.

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