			Home About us Contact

Many Shortcomings (many + shortcoming)

Distribution by Scientific Domains

Humanities and Social Sciences	33%

Selected Abstracts

Anatomy of Failure: Bush's Decision-Making Process and the Iraq War

FOREIGN POLICY ANALYSIS, Issue 3 2009
David Mitchell
The Bush administration's decision-making process leading to the invasion of Iraq in 2003 has been singled out for its many shortcomings: failure of intelligence; lack of debate concerning options; an insufficient invading force; and poor postwar planning. Contrary to the administration's claim that no one foresaw the difficulties of waging a war in Iraq, many concerns about the challenges the United States would face were raised inside and outside of government. Yet, none of this information had a significant effect on the decision-making process. This paper develops a decision-making model that integrates elements from the individual to the organizational level and explains how important information was marginalized, leading to a poor policy outcome. The model illustrates how the combined effects of the president's formal management style, anticipatory compliance on the part of key players, bureaucratic politics, and the intervening variable of the 9/11 terrorist attacks contributed to a defective decision-making process. [source]

Test-based accountability: Potential benefits and pitfalls of science assessment with student diversity

JOURNAL OF RESEARCH IN SCIENCE TEACHING, Issue 1 2010
Randall D. Penfield
Abstract Recent test-based accountability policy in the U.S. has involved annually assessing all students in core subjects and holding schools accountable for adequate progress of all students by implementing sanctions when adequate progress is not met. Despite its potential benefits, basing educational policy on assessments developed for a student population of White, middle- and upper-class, and native speakers of English opens the door for numerous pitfalls when the assessments are applied to minority populations including students of color, low SES, and learning English as a new language. There exists a paradox; while minority students are a primary intended beneficiary of the test-based accountability policy, the assessments used in the policy have been shown to have many shortcomings when applied to these students. This article weighs the benefits and pitfalls that test-based accountability brings for minority students. Resolutions to the pitfalls are discussed, and areas for future research are recommended. © 2009 Wiley Periodicals, Inc. J Res Sci Teach 47: 6,24, 2010 [source]

Folksonomy and information retrieval

PROCEEDINGS OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE & TECHNOLOGY (ELECTRONIC), Issue 1 2007
Isabella Peters
In Web 2.0 services "prosumers" - producers and consumers - collaborate not only for the purpose of creating content, but to index these pieces of information as well. Folksonomies permit actors to describe documents with subject headings, "tags", without regarding any rules. Apart from a lot of benefits folksonomies have many shortcomings (e.g., lack of precision). In order to solve some of the problems we propose interpreting tags as natural language terms. Accordingly, we can introduce methods of NLP to solve the tags' linguistic problems. Additionally we present criteria for tagged documents to create a ranking by relevance (tag distribution, collaboration and actor-based aspects). We would like to open the discussion concerning the following aspects: Which tag distributions seem to be characteristic for folksonomies and how can we use these distributions effectively in information retrieval? What are the problems of indexing by using tags, especially regarding indexing photos and videos? How may we use factors of collaborative indexing for relevance ranking? [source]

Public-Value Failure: When Efficient Markets May Not Do

PUBLIC ADMINISTRATION REVIEW, Issue 2 2002
Barry Bozeman
The familiar market-failure model remains quite useful for issues of price efficiency and traditional utilitarianism, but it has many shortcomings as a standard for public-value aspects of public policy and management. In a public-value-failure model, I present criteria for diagnosing values problems that are not easily addressed by market-failure models. Public-value failure occurs when: (1) mechanisms for values articulation and aggregation have broken down; (2) "imperfect monopolies" occur; (3) benefit hoarding occurs; (4) there is a scarcity of providers of public value; (5) a short time horizon threatens public value; (6) a focus on substitutability of assets threatens conservation of public resources; and (7) market transactions threaten fundamental human subsistence. After providing examples for diagnosis of public-values failure, including an extended example concerning the market for human organs, I introduce a "public-failure grid" to facilitate values choices in policy and public management. [source]

An alternative evaluation of FMEA: Fuzzy ART algorithm

QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL, Issue 6 2009
en Ayd, n Keskin
Abstract Failure Mode and Effects Analysis (FMEA) is a technique used in the manufacturing industry to improve production quality and productivity. It is a method that evaluates possible failures in the system, design, process or service. It aims to continuously improve and decrease these kinds of failure modes. Adaptive Resonance Theory (ART) is one of the learning algorithms without consultants, which are developed for clustering problems in artificial neural networks. In the FMEA method, every failure mode in the system is analyzed according to severity, occurrence and detection. Then, risk priority number (RPN) is acquired by multiplication of these three factors and the necessary failures are improved with respect to the determined threshold value. In addition, there exist many shortcomings of the traditional FMEA method, which affect its efficiency and thus limit its realization. To respond to these difficulties, this study introduces the method named Fuzzy Adaptive Resonance Theory (Fuzzy ART), one of the ART networks, to evaluate RPN in FMEA. Copyright © 2008 John Wiley & Sons, Ltd. [source]

Problem Formulation and Option Assessment (PFOA) Linking Governance and Environmental Risk Assessment for Technologies: A Methodology for Problem Analysis of Nanotechnologies and Genetically Engineered Organisms

THE JOURNAL OF LAW, MEDICINE & ETHICS, Issue 4 2009
Kristen C. Nelson
Societal evaluation of new technologies, specifically nanotechnology and genetically engineered organisms (GEOs), challenges current practices of governance and science. Employing environmental risk assessment (ERA) for governance and oversight assumes we have a reasonable ability to understand consequences and predict adverse effects. However, traditional ERA has come under considerable criticism for its many shortcomings and current governance institutions have demonstrated limitations in transparency, public input, and capacity. Problem Formulation and Options Assessment (PFOA) is a methodology founded on three key concepts in risk assessment (science-based consideration, deliberation, and multi-criteria analysis) and three in governance (participation, transparency, and accountability). Developed through a series of international workshops, the PFOA process emphasizes engagement with stakeholders in iterative stages, from identification of the problem(s) through comparison of multiple technology solutions that could be used in the future with their relative benefits, harms, and risk. It provides "upstream public engagement" in a deliberation informed by science that identifies values for improved decision making. [source]