Ind AS Awareness and Perceived Reporting Benefits among Indian Accounting Professionals
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Abstract
The adoption of Indian Accounting Standards represents a major step toward aligning India’s financial reporting framework with IFRS. Although regulatory adoption has occurred, effective implementation of Ind AS depends, among other factors, on accounting professionals' knowledge and understanding. This study examines the relationship between Ind AS awareness and perceived reporting benefits among accounting professionals in India. Data were collected by purposive sampling from January to April 2026 from 250 accounting professionals. The measurement instrument was evaluated using Cronbach’s alpha, Exploratory Factor Analysis, confirmatory factor analysis and structural equation modelling. The results show that the measurement model shows satisfactory reliability and validity, while the structural model shows an overall acceptable fit. However, the structural path analysis shows no statistically significant relationship between Ind AS awareness and perceived earnings quality, usefulness of financial information, transparency plus comparability, and global relevance. The results indicate that Ind AS awareness alone may not be sufficient to strengthen professionals' perceptions of the reporting benefits associated with Ind AS. The study offers empirical evidence from the Indian context. It gives insights for regulators, professional accounting bodies, educational institutions, and organisations to strengthen Ind AS implementation through continuous vocational training, capacity building, and practical exposure to Ind AS requirements.
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References
Ahmed, A. S., Neel, M., & Wang, D. (2013). Does mandatory adoption of IFRS improve accounting quality? Preliminary evidence. Contemporary Accounting Research, 30(4), 1344–1372.
https://doi.org/10.1111/j.1911-3846.2012.01193.x
Ball, R. (2006). International Financial Reporting Standards (IFRS): Pros and cons for investors. Accounting and Business Research, 36(Suppl. 1), 5–27. https://doi.org/10.1080/00014788.2006.9730040
Barth, M. E., Landsman, W. R., & Lang, M. H. (2008). International accounting standards and accounting quality. Journal of Accounting Research, 46(3), 467–498. https://doi.org/10.1111/j.1475-
679X.2008.00287.x
Brüggemann, U., Hitz, J. M., & Sellhorn, T. (2013). Intended and unintended consequences of mandatory IFRS adoption: A review of extant evidence and suggestions for future research. European Accounting Review, 22(1), 1–37. https://doi.org/10.1080/09638180.2012.718487
Brown, T. A. (2015). Confirmatory factor analysis for applied research (2nd ed.). Guilford Press.
Christensen, H. B., Lee, E., Walker, M., & Zeng, C. (2015). Incentives or standards: What determines accounting quality changes around IFRS adoption? European Accounting Review, 24(1), 31–61. https://doi.org/10.1080/09638180.2015.1009144
Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297–334. https://doi.org/10.1007/BF02310555
Covrig, V. M., DeFond, M. L., & Hung, M. (2007). Home bias, foreign mutual fund holdings, and the voluntary adoption of International Accounting Standards. Journal of Accounting Research, 45(1), 41–70. https://doi.org/10.1111/j.1475-679X.2007.00226.x
Daske, H., Hail, L., Leuz, C., & Verdi, R. (2008). Mandatory IFRS reporting around the world: Early evidence on the economic consequences. Journal of Accounting Research, 46(5), 1085–1142. https://doi.org/10.1111/j.1475-679X.2008.00306.x
Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272
Hail, L., Leuz, C., & Wysocki, P. D. (2010). Global accounting convergence and the possible adoption of IFRS by the United States: An analysis of economic and policy factors. Accounting Horizons, 24(3), 355–394. https://doi.org/10.2308/acch.2010.24.3.355
Healy, P. M., & Palepu, K. G. (2001). Information asymmetry, corporate disclosure, and the capital markets: A review of the empirical disclosure literature. Journal of Accounting and Economics, 31(1–3), 405–440. https://doi.org/10.1016/S0165-4101(01)00018-0
Holthausen, R. W., & Watts, R. L. (2001). The relevance of the value-relevance literature for financial accounting standard setting. Journal of Accounting and Economics, 31(1–3), 3–75.
Horn, J. L. (1965). A rationale and test for the number of factors in factor analysis. Psychometrika, 30(2), 179–185. https://doi.org/10.1007/BF02289447
Horton, J., Serafeim, G., & Serafeim, I. (2013). Does mandatory IFRS adoption improve the information environment? Contemporary Accounting Research, 30(1), 388–423. https://doi.org/10.1111/j.1911-3846.2012.01159.x
Howieson, B. (2003). Accounting practice in the new millennium: Is accounting education ready to meet the challenge? The British Accounting Review, 35(2), 69–103. https://doi.org/10.1016/S0890-8389(03)00004-0
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance model analysis: Conventional criteria versus new alternatives. Structural Equation Modelling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Institute of Chartered Accountants of India. (2020). Ind AS guidance materials. ICAI. https://www.icai.org
Institute of Chartered Accountants of India. (2021). Indian Accounting Standards (Ind AS): An overview. ICAI. https://www.icai.org
Institute of Chartered Accountants of India. (2023). Updated Ind AS guidance material. ICAI. https://www.icai.org
International Accounting Standards Board. (2018). Conceptual framework for financial reporting. IFRS Foundation. https://www.ifrs.org
IFRS Foundation. (2021). IFRS standards. https://www.ifrs.org
Jackling, B., & De Lange, P. (2009). Do accounting graduates' skills meet employers' expectations? Accounting Education, 18(4–5), 369–385. https://doi.org/10.1080/09639280902719341
Kline, R. B. (2016). Principles and practice of structural equation modelling (4th ed.). Guilford Press.
Leuz, C., & Wysocki, P. D. (2022). The economics of disclosure and financial reporting regulation: Evidence and suggestions for future research. Journal of Accounting Research, 60(2), 405–465. https://doi.org/10.1111/1475-679X.12408
Ministry of Corporate Affairs. (2015). Companies (Indian Accounting Standards) Rules, 2015. Government of India. https://www.mca.gov.in
Ministry of Corporate Affairs. (2016). Ind AS implementation roadmap. Government of India. https://www.mca.gov.in
Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioural research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879
Yip, R. W. Y., & Young, D. (2012). Does mandatory IFRS adoption improve information comparability? The Accounting Review, 87(5), 1767–1789. https://doi.org/10.2308/accr-50192
Zeghal, D., & Mhedhbi, K. (2006). An analysis of the factors affecting the adoption of international accounting standards by developing countries. The International Journal of Accounting, 41(4), 373–386. https://doi.org/10.1016/j.intacc.2006.09.009