References
- 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.
- 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.
- 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)00351-7
- 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.
- 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.
- 6. Dennis L. Clasen and Thomas J. Dormody, (1994). Analyzing Data Measured by Individual Likert-Type Items, Journal of Agricultural Education, 35(4).
- 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.
- 8. Fellegi, I. P. (2004). Official Statistics - Pressures and Challenges (ISI President’s Invited Lecture, 2003), International Statistical Review, 72(1), 139-155.
- 9. Gideon Vigderhous, (1977). The Level of Measurement and “Permissible” Statistical Analysis in Social Research, Pacific Sociological Review, 20(1), 61-72.10.2307/1388904
- 10. Jacoby, Jacob, and Michael S. Matell (1971). Three-Point Likert Scales Are Good Enough, Journal of Marketing Research, 8(4), 495-500.
- 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,
- 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.pdf
- 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.
- 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.2016.09.004
- 15. Lokesha, K. (2013). XBRL-The New Financial Reporting Language: a Concept, Global research analysis international’, l2(12).
- 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.
- 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-2017-0010
- 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.
- 19. Rensis Likert, (1932). A Technique for the Measurement of Attitudes, Archives of Psychology, 140(55).
- 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.
- 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.
- 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.
- 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.x
- 24. Vineet Chouhan and Shubham Goswami (2015). XBRL Acceptance in India: A behavioural Study, American Journal of trade and Policy, 2(1).
- 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.2010.01.008
- 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.
- 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.