XBRL-Enabled, Spreadsheet, or PDF? Factors Influencing Exclusive User Choice of Reporting Technology

ABSTRACT: U.S. adoption of eXtensible Business Reporting Language (XBRL)-enabled technology has been slow. Prior experimental evidence suggests that even when XBRL-enabled technology is available, almost 50 percent of participants do not use it. This study informs AIS researchers on the state of XBRL-enabled technology by using an exclusive choice experimental design to examine (1) which reporting technology nonprofessional investors will choose to complete a financial analysis task (XBRL-enabled, portable document file, or spreadsheet), and (2) why they choose the specific technology. Findings indicate that 66 percent of nonprofessional investors chose XBRL-enabled technology, while 34 percent chose spreadsheets. Participants who chose the former perceived that it reduces the time to complete the task (i.e., increases task efficiency), while participants who chose the latter indicated their choice was driven by prior technology experience. Study results have implications for the Securities and Exchange C...

[1]  George M. Marakas,et al.  Exploring Choice as an Antecedent to Behavior: Incorporating Alternatives into the Technology Acceptance Process , 2012, J. Organ. End User Comput..

[2]  Diane J. Janvrin,et al.  XBRL Implementation: A Field Investigation to Identify Research Opportunities , 2012, J. Inf. Syst..

[3]  Stephen J. Hoch,et al.  A psychological approach to decision support systems , 1996 .

[4]  Donald R. Jones,et al.  Choosing and Translating between Problem Representations , 1995 .

[5]  Stuart Tooley,et al.  Digital reporting formats : users' perceptions, preferences and performances , 2009 .

[6]  Iris Vessey,et al.  Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature* , 1991 .

[7]  Dennis F. Galletta,et al.  Cognitive Fit: An Empirical Study of Information Acquisition , 1991, Inf. Syst. Res..

[8]  A. Bodaghi,et al.  The Effects of XBRL on Financial Transparency , 2012 .

[9]  Patrick Wheeler,et al.  Nonprofessional investors' perceptions of the efficiency and effectiveness of XBRL-enabled financial statement analysis and of firms providing XBRL-formatted information , 2009 .

[10]  Linda S. McDaniel,et al.  Effects of Comprehensive‐Income Characteristics on Nonprofessional Investors' Judgments: The Role of Financial‐Statement Presentation Format , 2000 .

[11]  Ya‐wen Yang,et al.  The impact of corporate governance on Internet financial reporting , 2008 .

[12]  D. Read.  Judgment and Choice , 2005 .

[13]  Amelia Annette Baldwin,et al.  The Impact of XBRL: A Delphi Investigation , 2011 .

[14]  Fred D. Davis,et al.  Development and Test of a Theory of Technological Learning and Usage , 1992 .

[15]  J. P. Wanous,et al.  Overall job satisfaction: how good are single-item measures? , 1997, The Journal of applied psychology.

[16]  Donald R. Jones,et al.  The Effects of Exclusive User Choice of Decision Aid Features on Decision Making , 2003, J. Inf. Syst..

[17]  Michael G. Alles,et al.  Will XBRL improve corporate governance?: A framework for enhancing governance decision making using interactive data☆ , 2012, Int. J. Account. Inf. Syst..

[18]  Dana Schwieger,et al.  Development of an Evaluation Model for XBRL-enabled Tools Intended for Investors , 2011 .

[19]  David Y. Chan,et al.  Consequences of XBRL Standardization on Financial Statement Data , 2012, J. Inf. Syst..

[20]  Brian L. Dos Santos,et al.  A Study of User Interface Aids for Model-Oriented Decision Support Systems , 1988 .

[21]  Stuart Tooley,et al.  Functional fixation: Experimental evidence on the presentation of financial information through different digital formats , 2011 .

[23]  B. Miller,et al.  Initial evidence on the market impact of the XBRL mandate , 2013, Review of Accounting Studies.

[24]  Jane Kennedy,et al.  Are M.B.A. Students a Good Proxy for Nonprofessional Investors , 2007 .

[25]  H. Arkes,et al.  Factors influencing the use of a decision rule in a probabilistic task , 1986 .

[26]  Roger S. Debreceny,et al.  Betwixt and Between? Bringing Information Systems and Accounting Systems Research Together , 2011, J. Inf. Syst..

[27]  James R. Frederickson,et al.  The Effects of Pro Forma Earnings Disclosures on Analysts' and Nonprofessional Investors' Equity Valuation Judgments , 2004 .

[28]  Carsten Felden,et al.  Does it add up? Early evidence on the data quality of XBRL filings to the SEC , 2010 .

[29]  M. W. Nelson,et al.  Experimental Research in Financial Accounting , 2001 .

[30]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[31]  Elaine G. Mauldin,et al.  Towards a meta-theory of accounting information systems , 1999 .

[32]  Suzanne G. Morsfield,et al.  An Evaluation of the Current State and Future of XBRL and Interactive Data for Investors and Analysts , 2012 .

[33]  James Gunn.  XBRL: Opportunities and Challenges in Enhancing Financial Reporting and Assurance Processes , 2007 .

[34]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[35]  Robert D. Pritchard,et al.  Expectancy theory measures: An empirical comparison in an experimental simulation. , 1981 .

[36]  C. J. Wolfe,et al.  Reporting Financial Results with the Video Medium: An Experimental Analysis , 2000, J. Inf. Syst..

[37]  Laureen A. Maines,et al.  Does Search-facilitating Technology Improve the Transparency of Financial Reporting? , 2004 .

[38]  Patrick R. Wheeler,et al.  The Effects of Decision Aid Design on the Information Search Strategies and Confirmation Bias of Tax Professionals , 2008 .