Effectivness of the Adoption of the XBRL Standard in the Indian Banking Sector

1. Amelia, A. Baldwin and Brad, S. T. (2011). The Impact of XBRL: a Delphi Investigation. The International Journal of Digital Accounting Research, 11, 1-24.Search in Google Scholar

2. Bardhan, Samaresh. (2013). Profit Efficiency of Indian Commercial Banks in the Post-liberalisation Period: A Stochastic Frontier Approach. The Journal of Applied Economic Research 7(4), 391–415.10.1177/0973801013500132Search in Google Scholar

3. Bhattacharyya A, Lovell C.A.K and Sahay P. (1997). The impact of liberalization on the productive efficiency of Indian commercial banks. European Journal of Operations Research, 98(2), 332-345.10.1016/S0377-2217(96)00351-7Otwórz DOISearch in Google Scholar

4. Chou, C.C., Chang, C.J. and Peng, J. (2016). Integrating XBRL data with textual information in Chinese: A semantic web approach, International Journal of Accounting Information Systems, 21, 32-46.10.1016/j.accinf.2016.04.002Search in Google Scholar

5. Das, Abhiman. and Ghosh, Saibal (2004). Risk, capital and operating efficiency: Evidence from Indian public-sector banks, Indian Journal of Economics and Business 3(1), 147-64.Search in Google Scholar

6. Dennis L. Clasen and Thomas J. Dormody, (1994). Analyzing Data Measured by Individual Likert-Type Items, Journal of Agricultural Education, 35(4).10.5032/jae.1994.04031Search in Google Scholar

7. Erlance, K. G., Jamaliah S. and Kamaruzzaman, M (2014). Enhancing corporate governance via XBRL: preparers’ perception on compatibility exception, Procedia-Social and behavioural sciences,145, 308-315.10.1016/j.sbspro.2014.06.039Search in Google Scholar

8. Fellegi, I. P. (2004). Official Statistics - Pressures and Challenges (ISI President’s Invited Lecture, 2003), International Statistical Review, 72(1), 139-155.10.1111/j.1751-5823.2004.tb00229.xSearch in Google Scholar

9. Gideon Vigderhous, (1977). The Level of Measurement and “Permissible” Statistical Analysis in Social Research, Pacific Sociological Review, 20(1), 61-72.10.2307/1388904Otwórz DOISearch in Google Scholar

10. Jacoby, Jacob, and Michael S. Matell (1971). Three-Point Likert Scales Are Good Enough, Journal of Marketing Research, 8(4), 495-500.10.1177/002224377100800414Search in Google Scholar

11. Jacqueline L. Birt, Kala Muthusamy, Poonam Bir, (2017). XBRL and the qualitative characteristics of useful financial information, Accounting Research Journal, 30 (1),107-126,10.1108/ARJ-11-2014-0105Search in Google Scholar

12. Joshi, A. R, Purnendu Kumar, Archana Dilip (May 2016). Collection of Macro Financial Statistics for Central Banking in Reserve Bank of India–Evolution of Information Acquisition and Management Technology. Retrieved from: http://communities.unescap.org/system/files/02india_paper_collection_of_macro_financial_statistics_for_central_banking_evolution_of_information_acquisition_and_management_technology.pdfSearch in Google Scholar

13. Liu, Chunhui, Wan, T., and Yao, L. J., (2014). XBRL’s impact on analyst forecast behaviour: an empirical study, Journal of accounting and public policy, 33(1), 69-82.Search in Google Scholar

14. Liu, C., Luo, X.R., Wang, F.L. (2017). An empirical investigation on the impact of XBRL adoption on information asymmetry: Evidence from Europe, Decision Support Systems, 93:42-50.10.1016/j.dss.2016.09.004Otwórz DOISearch in Google Scholar

15. Lokesha, K. (2013). XBRL-The New Financial Reporting Language: a Concept, Global research analysis international’, l2(12).Search in Google Scholar

16. Maurya Vishal, Vivek Kumar and Sujeesh Kumar (2011). Comparing the Technical Efficiency of Indian Banks Operating Abroad and Foreign Banks Operating in India: A Stochastic Output Distance Function Approach’, Reserve Bank of India Occasional Papers, 32(1), 1-23.Search in Google Scholar

17. Martic, V, Filipovic, L.A, and Radovi, M. (2017). XBRL Implementation in the Banking Sector in Montenegro, Journal of Central Banking Theory and Practice, 2. 5-22, UDK: 336.71(497.16), DOI: 10.1515/jcbtp-2017-001010.1515/jcbtp-2017-0010Otwórz DOISearch in Google Scholar

18. R. Chowdhuri, V.Y. Yoon, R T. Redmond, and U O. Etudo (2014). Ontology based integration of XBRL filings for financial decision making, Decision making Systems, 68, 64-76.10.1016/j.dss.2014.09.004Search in Google Scholar

19. Rensis Likert, (1932). A Technique for the Measurement of Attitudes, Archives of Psychology, 140(55).Search in Google Scholar

20. Seele, P. (2016). Digitally unified reporting: how XBRL-based real-time transparency helps in combining integrated sustainability reporting and performance control, Journal of Cleaner Production,136(10), Part A, 65-77.10.1016/j.jclepro.2016.01.102Search in Google Scholar

21. Shan, Y.G, Troshan, I. and Richardson, G. (2015). An empirical comparison of the effect of XBRL on audit fees in the US and Japan, Journal of Contemporary Accounting & Economics, 11(2):89-103.10.1016/j.jcae.2015.01.001Search in Google Scholar

22. Sujeesh Kumar S. (2013). Total Factor Productivity of Indian Banking Sector - Impact of Information Technology, Reserve Bank of India Occasional Papers, 34(1&2),65-86.Search in Google Scholar

23. Ulf Jakobsson (2004), Statistical Presentation and Analysis of Ordinal Data in Nursing Research, Scandinavian Journal of Caring Sciences, 18, 437-440.10.1111/j.1471-6712.2004.00305.xOtwórz DOISearch in Google Scholar

24. Vineet Chouhan and Shubham Goswami (2015). XBRL Acceptance in India: A behavioural Study, American Journal of trade and Policy, 2(1).10.18034/ajtp.v2i2.385Search in Google Scholar

25. Yoon, H; Zo, H and Ciganek, A.P.(2011).Does XBRL adoption reduce information asymmetry?, Journal of Business Research, 64(2),157-163.10.1016/j.jbusres.2010.01.008Otwórz DOISearch in Google Scholar

26. Yu Che Chen (2012). A comparative study of e-government XBRL implementations: The potential of improving information transparency and efficiency, Government Information Quarterly, 29(4), 553–563.10.1016/j.giq.2012.05.009Search in Google Scholar

27. Zhenyang Bai, Manabu Sakaue, and Fumiko Takeda, (2014). The Impact of XBRL Adoption on the Information Environment: Evidence from Japan, The Japanese Accounting Review, 4, 49-74.10.11640/tjar.4.2014.03Search in Google Scholar

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