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Articles 1 - 2 of 2
Full-Text Articles in Business Law, Public Responsibility, and Ethics
Threats Escalate: Corporate Information Technology Governance Under Fire, Lawrence J. Trautman
Threats Escalate: Corporate Information Technology Governance Under Fire, Lawrence J. Trautman
Lawrence J. Trautman Sr.
In a previous publication The Board’s Responsibility for Information Technology Governance, (with Kara Altenbaumer-Price) we examined: The IT Governance Institute’s Executive Summary and Framework for Control Objectives for Information and Related Technology 4.1 (COBIT®); reviewed the Weill and Ross Corporate and Key Asset Governance Framework; and observed “that in a survey of audit executives and board members, 58 percent believed that their corporate employees had little to no understanding of how to assess risk.” We further described the new SEC rules on risk management; Congressional action on cyber security; legal basis for director’s duties and responsibilities relative to IT governance; …
What's Good In Theory May Be Flawed In Practice: Potential Legal Consequences Of Poor Implementation Of A Theoretical Sample, Melanie S. Williams, A. Lynn Phillips, G. Michael Phillips
What's Good In Theory May Be Flawed In Practice: Potential Legal Consequences Of Poor Implementation Of A Theoretical Sample, Melanie S. Williams, A. Lynn Phillips, G. Michael Phillips
Melanie S. Williams
The article discusses the problem of the use in litigation of statistical sampling. Sample-based research is increasingly used in cases as diverse as products liability, antitrust, intellectual property, and criminal law, among others. Sample-based research provides objective evidence upon which decisions, damages and liability may rest. Despite its importance, however, statistical evidence is often misused and misunderstood by attorneys who may be unfamiliar with the underlying form of analysis. The paper explores common errors when using litigative samples, comments upon best practices for the use in law of sample-based research, and demonstrates the importance of sound statistical sampling and data …