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Science Fields (science + field)

Distribution by Scientific Domains

Humanities and Social Sciences	50%
Business, Economics, Finance and Accounting	50%

Selected Abstracts

A Framework for Measuring the Importance of Variables with Applications to Management Research and Decision Models,

DECISION SCIENCES, Issue 3 2000
Ehsan S. Soofi
In many disciplines, including various management science fields, researchers have shown interest in assigning relative importance weights to a set of explanatory variables in multivariable statistical analysis. This paper provides a synthesis of the relative importance measures scattered in the statistics, psychometrics, and management science literature. These measures are computed by averaging the partial contributions of each variable over all orderings of the explanatory variables. We define an Analysis of Importance (ANIMP) framework that reflects two desirable properties for the relative importance measures discussed in the literature: additive separability and order independence. We also provide a formal justification and generalization of the "averaging over all orderings" procedure based on the Maximum Entropy Principle. We then examine the question of relative importance in management research within the framework of the "contingency theory of organizational design" and provide an example of the use of relative importance measures in an actual management decision situation. Contrasts are drawn between the consequences of use of statistical significance, which is an inappropriate indicator of relative importance and the results of the appropriate ANIMP measures. [source]

Defining Economics: The Long Road to Acceptance of the Robbins Definition

ECONOMICA, Issue 2009
ROGER E. BACKHOUSE
Robbins' Essay gave economics a definition that came to dominate the professional literature. This definition laid a foundation that could be seen as justifying both the narrowing of economic theory to the theory of constrained maximization or rational choice and economists' ventures into other social science fields. Though often presented as self-evidently correct, both the definition itself and the developments that it has been used to support were keenly contested. This paper traces the reception, diffusion and contesting of the Robbins definition, arguing that this process took around three decades and that even then there was still significant dissent. [source]

The Effects of Weather and Climate on the Seasonality of Influenza: What We Know and What We Need to Know

GEOGRAPHY COMPASS (ELECTRONIC), Issue 7 2010
Christopher Fuhrmann
Influenza is one of the most deadly of all airborne and upper-respiratory infections. On average, 22,000 deaths and over 3 million hospitalizations in USA are attributed to influenza each year. The distinct seasonality of influenza suggests a climate connection, but the wide range of methodologies used to explore this connection makes it difficult to elucidate a definitive relationship. Much of what is known about the effects of weather and climate on the seasonality of influenza stems from research conducted by members of the public health and medical communities, with few contributions from other physical and social science fields. Most of these studies are either based on experiments conducted under controlled laboratory conditions or on the broad-scale patterns of morbidity and mortality and their relationship to large-scale climate signals. What remains largely unknown is the suitability of these results for the development of early warning systems and for determining the dynamics of viral transmission on multiple space and time scales. [source]

Social capital and information science research

PROCEEDINGS OF THE AMERICAN SOCIETY FOR INFORMATION SCIENCE & TECHNOLOGY (ELECTRONIC), Issue 1 2007
Catherine A. Johnson (moderator, presenter)
The concept of social capital has become a popular area of research in many social science fields, including public policy, political science, economics, community development, sociology, anthropology, and education. Increasingly, it has been used as the conceptual framework for research in the area of information studies including such topics as knowledge integration (Bhandar, Pan & Tan, 2007), knowledge sharing (Huysman & Wulf, 2006), access to information by the homeless (Hersberger, 2003), community informatics (Williams and Durrance, in press), and information seeking behavior (Johnson, in press). The concept has an ideological foundation in the theories of Pierre Bourdieu (1980), with two divergent approaches to its study emerging during the last two decades: one focusing on social capital as a collective asset and the other regarding it as an individual asset. The main proponent of the first approach is political scientist Robert Putnam who defines social capital as inhering in the "dense networks of social interaction" which foster "sturdy norms of generalized reciprocity and encourage the emergence of social trust" (Putnam, 1995, p. 66). Social network analysts, on the other hand, view social capital as resources to which individuals have access through their social relationships. Nan Lin, who is the main proponent of this approach, defines social capital as "resources embedded in a social structure which are accessed and/or mobilized in purposive actions" (Lin, 2001a, p. 12). While the concept of social capital may be operationalized differently depending on the point of view of the researcher, its value to information science research is in providing a framework within which to understand the relationship between social structure and information access. Participants in this panel will discuss social capital from various vantage points, including the role of social capital in solidifying power relationships, the effect of recent government policies on reducing social capital, and the relationship between social capital and the use of libraries and information technology. The intent of the panel is to clarify the meaning(s) of social capital and to demonstrate how the concept may be used in information science research. [source]