CONVERGENCE TO IND AS: AN INVESTIGATION OF FACTORS AFFECTING PERCEPTION OF CHARTERED ACCOUNTANTS

Authors

  • Rachita Garg Assistant Professor, Ramanujan College, University of Delhi, Delhi Author
  • Anil Kumar Goyal Associate Professor, Maharaja Agrasen Institute of Management Studies, Delhi Author

Keywords:

Ind AS, IFRS, Utilities, Perception, Adoption Process, Challenges, Limitations, Development of Common Understanding, Training.

Abstract

In recent years, business has gotten increasingly  difficult, and a globalised market requires  comprehensive Accounting Standards that  can be applied equally and promote fairness  across corporations and regions. In the age of  globalisation, India needs and wants Ind AS.  With the introduction of IFRS globally, there  was an urgent need to have similar standards for  India as well. Therefore, Ind AS were converged  with IFRS in 2011. Ind AS were made applicable  in India from April 2015 voluntarily and then  in a phased manner it was made mandatory  from April 2016. The present study focusses on  finding the factors affecting the perception of  Chartered Accountants in India regarding the  adoption of Ind AS. Primary data was collected  on structured Likert scale questionnaire and data  was analysed using Smart PLS 4. The findings of  the study revealed that challenges and limitation  have a negative impact on the perception while  utilities, training and development of common  understanding have a positive impact. Adoption  process was found to be insignificant. 

References

Achalapathi. K.V., & Bhanu Sireesha.P. (2015). Impact of IFRS adoption on 2. financial statements of select Indian companies. Osmania Journal of

International Business Studies, 10(1), 21-34.

Adhikari, A., Bansal, M. and Kumar, A. (2021), “IFRS convergence and

accounting quality: India a case study”, Journal of International Accounting, 6. Auditing and Taxation, Vol. 45, p. 100430.

Akdoğan, N., 2007. Türkiye Muhasebe/Finansal Raporlama Standartlarının Uygulanma Süreci: Sorunlar, Çözüm Önerileri. Mali Çözüm Dergisi 80, 101-117.

Bansal, M. (2023). Economic consequences of IFRS convergence: evidence from phased manner implementation in India. Journal of Asia Business Studies, 17(1), 129-148.

Bansal, M. and Garg, A. (2021), “Do high-quality standards ensure higher

accounting quality? A study in India”, Accounting Research Journal, Vol. 34 11. No. 6, pp. 597-613. https://doi.org/10.1108/ARJ-06-2020-0162

Bekçi, İ., 2007. Muhasebe Meslek Mensuplarının Türkiye Muhasebe Standartları Hakkındaki Görüşlerinin Değerlendirilmesine Yönelik Bir Araştırma. Muhasebe ve Denetime Bakış 22, 27-40. 13. Bentler, P. M., & Bonett, D. G. (1980). Significance Tests and Goodness-of-Fit in the Analysis of Covariance Structures, Psychological Bulletin, 88: 588-600.

Çankaya, F., 2007. An application towards the measurement of international accounting harmonization: a comparison of Russia, China and Turkey. Ulus lararası Yönetim İktisat ve İşletme Dergisi 3 (6), 127- 148. George,

Chin, W. (1998). The partial least squares approach for structural equation modeling. In: Marcoulides, G. A. (ed.), Modern methods for business research, London: Lawrence Erlbaum Associates., p.295–236. 16. Chin, W. (2010). How to write up and report PLS analysis. In: Vinzi, V. ., Chin, W ., Henseler, J. and Wang, H. (eds.), Handbook of partial least squares, concepts, methods and applications., Berlin: Springer.

Chin, W. (2010). How to write up and report PLS analysis. In: Vinzi, V. ., Chin, W ., Henseler, J. and Wang, H. (eds.), Handbook of partial least squares, concepts, methods and applications., Berlin: Springer.

Das, A., Ozdemir, S., Memik, G., Zambreno, J., & Choudhary, A. (2007). Dissertation Research. IEEE Transactions on Very Large Scale Integration Systems, 15, 5.

Evci, S., 2008. Turkish accounting standards (financial reporting) and problems faced in the application of it. Gazi University, Department of Business Administration, Ankara

Fornell, C. and Larcker, D. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), p.39–50.

Hair, J. ., Hult, G. T. M., Ringle, C. M. and Sarstedt, M. (2014). A primer on partial least squares structural equation modeling (PLS-SEM). Thousand Oaks, CA: Sage Publication, Inc. 22. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Editorial-partial least squares structural equation modeling: Rigorous applications, better results and higher acceptance. Long Range Planning, 46(1-2), 1-12.4

Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., and Calantone, R. J. 2014. Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013), Organizational Research Methods, 17(2): 182-209.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2009). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the academy of marketing science, 43, 115-135. 25. Herbert, W. E., Tsegba, I. N., Ohanele, A. C., & Anyahara, I. O. (2013).

Adoption of International Financial Reporting Standards (IFRS): insights from 27. Nigerian academics and practitioners. Research Journal of Finance and

Accounting, 4(6), 121-135.

Hu, L.-t., and Bentler, P. M. (1999). Fit Indices in Covariance Structure Modeling: Sensitivity to Underparameterized Model Misspecification, Psychological Methods, 3(4): 424-453. 30. Jain, P. (2011). IFRS Implementation in India: Opportunities and

Challenges, World Journal of Social Sciences, Vol.1(1), March, pp.125-13610.

James, W. (2009). Rationality, institutionalism and accounting change: understanding a performance management system within an Australian public sector entity. Journal of Accounting & Organizational Change, 5(3), 362-389.

Jöreskog, K. G. (1971). Statistical analysis of sets of congeneric tests. Psychometrika, 36(2), 109-133. 34. Kaplan, D. (2000). Structural Equation Modeling: Foundations and Extensions. California: Sage, Newbury Park

Navarro-García, J.C., Bastida F., 2010. An empirical insight on Spanish listed companies’ perceptions of International Financial Reporting Standards. Journal of International Accounting, Auditing and Taxation, 19 (2), 110-120. http://dx.doi. org/10.1016/j.intaccaudtax.2010.07.003.

Nunnally, J. C. and Bernstein, I. H. (1994). Pschometric theory. 3rd ed. New York: McGraw-Hill Inc. 37. Odia, J. O. Perception of IFRS adoption by Accounting Practitioners

and Academia in Nigeria.

Pawsey, N., Brown, A., & Bikram, C. (2013). The Potential Adoption of IFRS for US Issuers: A Textual Analysis of Responses to the Proposal. Asian Journal of Business and Accounting, 6(1). 40. Ramayah, T. J. F. H., Cheah, J., Chuah, F., Ting, H., & Memon, M. A. (2018). Partial least squares structural equation modeling (PLS-SEM) using smartPLS 3.0. An updated guide and practical guide to statistical analysis.PM

Rezaee, Z., Smith, L.M., Szendi, J.Z., 2010. Convergence in accounting standards: Insights from academicians and practitioners. Advances In Accounting 26 (1), 142-154. Available at http://ssrn. com/abstract=1703584

Tenenhaus, M., Vinzi, V. E., Chatelin, Y.-M. and Lauro, C. (2005). PLS path modeling. Computational Statistics and Data Analysis, 48 (1), p.159–205.

Ülkü, S., 2008. A research of accountants perception about IFRS for SMEs rough draft (Sample of İstanbul). Sakarya University, Department of Business Administration, Sakarya. 44. V. J., & Sankaranarayanan, K. G. (2017). Adoption of IFRS in India and the perception of stakeholders. International Journal of Science and Research, 6(6), 1827-1831.

Wong, K. K. (2013). Partial Least Squares Structural Equation Modeling (PLSSEM) Techniques Using SmartPLS. Marketing Bulletin, 24, p.1–32.

Downloads

Published

2024-07-11

How to Cite

CONVERGENCE TO IND AS: AN INVESTIGATION OF FACTORS AFFECTING PERCEPTION OF CHARTERED ACCOUNTANTS . (2024). IITM JOURNAL OF BUSINESS STUDIES (JBS), 47–59. Retrieved from https://acspublisher.com/journals/index.php/jbs/article/view/16633