XBRL Acceptance in India: A Behavioral Study

Vineet Chouhan, Shubham Goswami

Abstract


XBRL is fast becoming the new paradigm for reporting of financial information digitally. XBRL brings structure to business information with comprehensive description and contextual information for advanced analysis. It enhances the efficiency of financial reporting, accuracy, timeliness and reliability of financial data. Many Indian companies still resist using it. The present research uses technology acceptance model to analyze the perception of financial experts in respect of acceptance of XBRL as reporting method. The result revealed that using XBRL increases productivity but interacting with the XBRL requires lot of mental efforts. These findings can be an empirical and theoretical foundation to accelerate the adoption of XBRL in India.


Keywords


XBRL, financial reporting, technology acceptance, India

References


Ajzen, I (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50, 179–211.

Ajzen, I., and Fishbein, M. (1980).Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall

Alles, M., and M. Piechocki. (2009). Will XBRL Improve Corporate Governance? A Framework for Enhancing Governance Decision Making Using Tagged Data. Presented at 4th International Conference at The University of Kansas, Lawrence, KS, April 24-25.

Baldwin, A.A., Brown, C.E., Trinkle, B.S (2006). XBRL: An Impacts Framework and Research Challenge. Journal of Emerging Technologies in Accounting, 3, 97–116

Boritz, J. and Wo, W. (2008).The SEC’s XBRL Voluntary Filing Program on EDGAR: A Case For Quality Assurance.Current Issues in Auditing, 2(2), A36-A50.

Cohen E. (2009). XBRL’s Global ledger framework: exploring the standardized missing link to ERP integration. International Journal of Disclosure & Governance, 6(3),188– 206.

Cohen, E. E., Schiavina, T., Servais, O., 2005. XBRL: The standardised business language for 21st century reporting and governance. International Journal of Disclosure and Governance, 2 (4), 368-394

Davidson, A., Robinson, A. and Malthus, S. (2006). Survey of chartered accountants show XBRL slow to catch on.Chartered Accountants Journal, 85(9), 68-70.

Davis FD, Bagozzi RP (1989). User acceptance of computer technology: a comparison of two theoretical models. Management Science, 35(8), 983–1003.

Davis FD. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly 13(3), 319–340.

Debreceny RS, Chandra A, Cheh JJ, Guithues-Amrhein D, Hannon N, Hutchinson PD, et al (2005). Financial reporting in XBRL on the SEC's EDGAR system: a critique and evaluation, Journal of Information Systems,19(2),191–210.

Doolin, B. &Troshani, I. (2007). Organizational adoption of XBRL. Electronic Markets, 17(3), 199-209. Available: www.electronicmarkets.org.

Fishbein, M., &Ajzen, I. (1975). Belief, attitude, intention and behaviour: An introduction to theory and research. Reading, Addison-Wesley.

Gauri, M. (2014). XBRL: In India. Global Journal of Finance and Management, 6(6), 517-522.

Gonzalbez, J.M. and Rodriguez, M. M. (2012).XBRL and Integrated Reporting: The Spanish Accounting Association Taxonomy Approach.The International Journal of Digital Accounting Research, 12, 59-91

Goswami, S. (2014), Understanding adoption of electronic G2C service: An extension to Technology Adoption Model, Pacific Business Review, 8(6), 36-44

Grover, V. (1993). An Empirically Derived Model for the Adoption of Customer-based Interorganizational Systems.Decision Sciences, 24(3), 603–640.

Grover, V. and Goslar, M. (1993). The initiation, adoption, and implementation of telecommunications technologies in U.S. organisations. Journal of Management Information Systems, 10(1),141-163.

Grover, V. and Teng, J. (1992). An examination of DBMS adoption and success in American organisations. Information and Management, 23(5): 239-248.

Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (2006). Multivariate data analysis (Vol. 6). Upper Saddle River, NJ: Pearson Prentice Hall.

Iacovou, C. L., Benbasat, I., & Dexter, A. S. (1995). Electronic data interchange and small organizations: adoption and impact of technology. MIS Quarterly, 465-485.

Jeyaraj, A., Joseph, R.W. and Lacity, M.C. (2006). A review of the predictors, linkages, and biases in IT innovation adoption research. Journal of Information Technology, 21, 1-23.

Khan S, Chouhan V, Chandra B, Goswami S (2014). Sustainable accounting reporting practices of Indian cement industry: An exploratory study - Uncertain Supply Chain Management, 2(2), 61-72

Kwon, T. H. and Zmud, R. W. (1987). Unifying the Fragmented Models of Information Systems Implementation.in R. J. Boland and R. Hirschheim (eds) Critical Issues in Information Systems Research, New York: Wiley, 227–51.

Lai, V.S. &Guynes, J. L. (1994). A model of ISDN (integrated services digital network) adoption in U.S. corporations. Information and Management 26, 75-84.

Lymer, A. and Debreceny, R. (2003).The Auditor and Corporate Reporting on the Internet: Challenges and Intuitional Responses.International Journal of Auditing, 7,103-120.

MCA. (2012). XBRL filing manual version 2.0 for financial year 2011-2012. Released on October 14, 2012. Available at http://www.mca.gov.in/Ministry/pdf/ XBRL_Filing_ Manual _v2.0_14thOct2012.pdf

Müller-Wickop, N., Schultz, M., &Nüttgens, M. (2013). XBRL: impacts, issues and future research directions. Enterprise Applications and Services in the Finance Industry, 112-130. Springer Berlin Heidelberg.

Nunnally, J.C. (1978). Psychometric Theory, (2nd ed.). New York: McGraw-Hill.

Ogundeji, M.G., Oluwakayode, E., & Tijani, O.M. (2014). Critical factors of XBRL adoption in Nigeria: a Case for Semantic Model-Based Digital Financial Reporting. Computer Science and Information Technology, 2(1): 45-54, Available: http://www.hrpub.org DOI: 10.13189/csit.2014.020105

Oliver, D. and Whymark, G. (2005). Researching ERP adoption: an internet-based grounded theory approach.Online Information Review, 29(6), 585-603.

Pinsker R, Li S (2008) Costs and benefits of XBRL adoption: early evidence. Commun ACM, 51(3), 47–50.

Plumlee, R. and Plumlee, M. (2008). Assurance on XBRL for Financial Reporting. Accounting Horizons, 22(3),353-368.

Premkumar, G., Ramamurthy, K. and Nilakanta, S. (1994). Implementation of electronic data interchange: an innovation diffusion perspective. Journal of Management Information Systems, 11(2), 157-86.

Premuroso, R. F., and Bhattacharya, S. (2008). Do Early and Voluntary Filers of Financial Information in XBRL Format Signal Superior Corporate Governance and Operating Performance?.International Journal of Accounting Information Systems, 9, 1 - 20.

Rai, A., and Howard G.S. (1994). Propagating CASE Usage for Software Development: An Empirical Investigation of Key Organizational Correlates.OMEGA: The International Journal of Management Science, 22(2), 133-247.

Rogers, E. M. (2003).Diffusion of Innovations, New York: Free Press

Rogers, Everett (2003). Diffusion of Innovations, 5th Edition. Simon and Schuster. ISBN 978-0-7432-5823-4.

Rogers, Everett M. (1983). Diffusion of Innovations. New York: Free Press. ISBN 978-0-02-926650-2.

Roohani, S. (2007). XBRL: Meeting Challenges of Corporate Governance Reporting and Documentation. Presented at 2007 International Conference at The University of Kansas, Lawrence, KS, May 11-12.

Shrivastava, R. and Kogan, A. (2009). Assurance on XBRL Instance Document: A Conceptual Framework of Assertions, www.ssrn.com: http://ssrn.com/abstract =1289467.

Silveira, C., Abreu, R., Fátima, D. (2007). From an Object-Oriented Approach to the Financial Reporting: An Open Architecture. The International Journal of Digital Accounting Research, 7, 1-25.

Srivastava, R. P. (2009). XBRL (Extensible Business Reporting Language): A Research Perspective. Indian Accounting Review, 13(1), 14-32.

Srivastava, R. P., and Q. Liu. (2012). Special issue of Journal of Information System on XBRL. Journal of Information Systems, 26 (1), 97-101.

Thong, J. Y. L., Yap, C. S. (1995) CEO characteristics, organizational characteristics and information technology adoption in small businesses. International Journal of Management Science 23, 429-442.

Tornatsky, Louis G. & Katherine J. Klein (1982). Innovation Characteristics and Innovation Adoption Implementation. IEEE Transactions on Engineering Management, 29(11), 28- 45.

Tornatzky, L. G. and Klein, K. J. (1982). Innovation Characteristics and Innovation Adoption Implementation: A Meta-analysis of Findings. IEEE Transactions on Engineering Management EM-29(1), 28–45.

Troshani, I. and Doolin, B. (2005). Drivers and inhibitors impacting technology adoption: a qualitative investigation into the Australian experience with XBRL. paper presented at 18th Bled e-Conference: e-Integration in Action, Bled, June 6-8.

Vasal, V. K., & Srivastava, R. P. (2002). Extensible Business Reporting Language (XBRL): the digital language of business: an Indian perspective. Indian Accounting Review, 6(1), 41-59.

Vasal, V. K.; Srivastava, R. P. (2005). IT and web-based accounting, evidence from the Indian capital market. IIMB Management Review, 17(1), 79-85.

Vasarhelyi, M.A., Alles, M.G. (2008). Reengineering Business Reporting Creating a Test Bed for Technology Driven Reporting.The International Journal of Digital Accounting Research, 8, 97-135.

Venkatesh V and Davis FD (2000). A theoretical extension of the Technology Acceptance Model: Four longitudinal case studies. Management Science, 46(2), 186–204.

Venkatesh, V., Morris, M.G., Davis, F.D., and Davis, G.B (2003). User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, 27, 425-478

Willis, M. (2007). Improving Investor Communications and Analysis via Standardization. The International Journal of Digital Accounting Research,7, 151-163.

Wolfe, R.A. (1994). Organisational innovation: review, critique and suggested research directions, Journal of Management Studies, 31(3), 405-31.

Yoon H, Zo H, Ciganek AP (2011). Does XBRL adoption reduce information asymmetry? Journal of Business Research 64(2),157– 163

Zaltman, G., Duncan, R. and Holbeck, J. (1973).Innovations and Organizations. New York: Wiley.

Zmud, R. W. (1982). Diffusion of modern software practices: Influence of centralization and formalization. Management Science, 28, 1421-1431.




DOI: http://dx.doi.org/10.18034/ajtp.v2i1.562

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