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XBRL Panel -- Bill McCarthy

XBRL Panel -- Bill McCarthy. Researcher (?) Professor of Accounting at Michigan State University more IT than accounting more design science than empirical Business Process standards worker Topics: ebXML progress and fit with XBRL Research opportunities Design science Empirical science.

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XBRL Panel -- Bill McCarthy

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  1. XBRL Panel -- Bill McCarthy • Researcher (?) • Professor of Accounting at Michigan State University • more IT than accounting • more design science than empirical • Business Process standards worker • Topics: • ebXML progress and fit with XBRL • Research opportunities • Design science • Empirical science

  2. FSA & ELOISE (KEE & Lisp) knowledge structures semantic modeling in DB, AI, OO AA-AI group work on EDGAR in 86-87 Semantic nets for text Chart of accounts • Semantic Modeling • transactions & commitments • reporting • controls • XBRL • reporting • transactions • controls Origins of my (biased) views

  3. Comparison & connection of ebXML (UN/CEFACT) with XBRL (AICPA) • ebXML progress – Fast start but slow progress and migration (OASIS, OAG, OMG) • Some specs progress to ISO • BP catalog & classification  repository • Business process semantics & choreography • BP metamodel • Business entities (states) & collaboration patterns • ebXML stack • Connection with XBRL • Bill for one year • UN/CEFACT – not much

  4. Research Opportunities – (DS) • XBRL & other XML initiatives are exciting & hard topics (don’t come in with weak skills) • Design Science = building (constructs, models, methods, instantiations) and evaluating (same) HMPR link • DS opportunities • Building of new design artifacts for XBRL (tools, taxonomies) • Evaluating of existing artifacts (XLink, taxonomies, best methods & practices, instantiations)

  5. Research Opportunities – II (empirical) • Traditional Financial reporting with new decision scenarios for analysts & investors • Instant Compustat & other data aggregators • New tool & technology use • Other reporting issues (access accounting, interactive data) • Opportunity not yet ripe but will be soon (AAA report) • XBRL G/L uses • G/L to G/L • Other projected uses ? • New use of G/L • Transaction level interoperability • Other new XBRL use

  6. Research Opportunities – A Final Note • Opportunities in both design and empirical, but beware of establishment biases • Research obligations (?) • Unbounded optimism about adoption is part of the XML landscape, and it is fine for XBRL.org and the AICPA • “Why so few faculty opponents ?” • Heavy learning curve • Non open development process (ODP) makes criticism hard for researchers • Skeptics are hard to identify & quote • Nothing in XBRL needs fixing

  7. UN/CEFACT BP stack back Business Domain View (BDV) Business Area Process Area Business Process ** Business Requirements View (BRV) Agreement Business Collaboration (binary or multiparty) Partner Economic Resources Economic Event *** Business Transaction View (BTV) Requesting Business Activity Authorizing Roles Business Transaction * Responding Business Activity Business Documents Business Service View (BSV) Requesting Service Transaction Business Messages Network Component Responding Service Transaction Source: ebXML TMWG

  8. Environment IS Research Knowledge Base Relevance Rigor • People • Roles • Capabilities • Characteristics • Organizations • Strategies • Structure & Culture • Processes • Technology • Infrastructure • Applications • Communications Architecture • Development Methodologies • Foundations • Theories • Frameworks • Instruments • Constructs • Models • Methods • Instantiations • Methodologies • Data Analysis Techniques • Formalisms • Measures • Validation Criteria • Develop / Build • Theories • Artifacts* Applicable Knowledge Business Needs Assess Refine • Justify / Evaluate • Analytical • Case Study • Experimental • Field Study • Simulation Application in the Appropriate Environment Additions to the Knowledge Base [SOURCE: Hevner, March, Park, and Ram, MISQ, 2004] *artifacts = constructs, models, methods, instantiations

  9. Designed IT Artifacts • Purposes • Improve organizational performance • To make things "as they ought to be." • Objects • Constructs (E-R, OO, BWW, Agents) • Models (Patterns, KR, REA Template) • Methods (SA&D Techniques, CSF, DA) • Instantiations (ES, Vigilant, Emergent KP) • Actions • Build • Evaluate back [SOURCE: Sal March Speech at Gordon Davis Symposium (May 2005)]

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