Title
Task Types And Team-Level Attributes: Synthesis Of Team Classification Literature
Keywords
Investment decisions; Material weakness; MD&; A; Risk; XBRL
Abstract
This study extends prior research by investigating whether investors benefit from tagging complex narrative disclosures. We examine how tagging facilitates professional and nonprofessional investors' acquisition and assimilation of narrative disclosures in assessing company risk and predicting future performance. Participants were randomly assigned to a standard or tagged presentation of Management's Discussion and Analysis (MD&A), the U.S. equivalent to Management's Commentary. The two versions contain identical overall information. The standard version works similar to a PDF file where the user can access sections of the MD&A by selecting titled sections. The tagged version uses an extended hierarchical structure proposed for the MD&A and as a conceptual foundation for developing a related XBRL taxonomy. As theorized, results indicate that nonprofessional investors use a more directive search strategy under the tagged condition while professional investors' search strategies are unaffected by the tagged condition. Saliency of risk information increases for both investor groups in the tagged condition (i.e., risk assessments and stock price predictions are more associated). Our findings have important implications in light of the U.S. SEC's decision to preclude inclusion of XBRL-tagged MD&A information in mandatory filings due to taxonomy limitations. © 2011 Elsevier Inc.
Publication Date
3-1-2012
Publication Title
Human Resource Development Review
Volume
11
Issue
1
Number of Pages
97-129
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1177/1534484311417561
Copyright Status
Unknown
Socpus ID
84857216873 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84857216873
STARS Citation
Wildman, Jessica L.; Thayer, Amanda L.; Rosen, Michael A.; Salas, Eduardo; and Mathieu, John E., "Task Types And Team-Level Attributes: Synthesis Of Team Classification Literature" (2012). Scopus Export 2010-2014. 5070.
https://stars.library.ucf.edu/scopus2010/5070