Decision Sciences (decision + sciences)

Distribution by Scientific Domains


Selected Abstracts


Measurement Equivalence Using Generalizability Theory: An Examination of Manufacturing Flexibility Dimensions

DECISION SCIENCES, Issue 4 2008
Manoj K. Malhotra
ABSTRACT As the field of decision sciences in general and operations management in particular has matured from theory building to theory testing over the past two decades, it has witnessed an explosion in empirical research. Much of this work is anchored in survey-based methodologies in which data are collected from the field in the form of scale items that are then analyzed to measure latent unobservable constructs. It is important to assess the invariance of scales across groups in order to reach valid, scientifically sound conclusions. Because studies have often been conducted in the field of decision sciences with small sample sizes, it further exacerbates the problem of reaching incorrect conclusions. Generalizability theory can more effectively test for measurement equivalence in the presence of small sample sizes than the confirmatory factor analysis (CFA) tests that have been conventionally used for assessing measurement equivalency across groups. Consequently, we introduce and explain the generalizability theory (G-theory) in this article to examine measurement equivalence of 24 manufacturing flexibility dimension scales that have been published in prior literature and also compare and contrast G-theory with CFA. We show that all the manufacturing flexibility scales tested in this study were invariant across the three industry SIC groups from which data were collected. We strongly recommend that G-theory should always be used for determining measurement equivalence in empirical survey-based studies. In addition, because using G-theory alone does not always reveal the complete picture, CFA techniques for establishing measurement equivalence should also be invoked when sample sizes are large enough to do so. Implications of G-theory for practice and its future use in operations management and decision sciences research are also presented. [source]


Service Management,Academic Issues and Scholarly Reflections from Operations Management Researchers,

DECISION SCIENCES, Issue 2 2007
Richard Metters
ABSTRACT Services are now a larger portion of the economy than manufacturing for every nation on Earth, and services are an overwhelming portion of Western economies. While decision-making research has begun responding to this change, much of the scholarly work still addresses manufacturing issues. Particularly revealing is the field of operations management (OM), in which the proportion of manuscripts dedicated to services has been estimated at 3%, 6%, and 7.5% by various authors. We investigate several possible reasons for the neglect of services in research, including the difficulty in defining services, viewing services as derivative activities, a lack of defined processes, a lack of scale in services, and the effect of variability on service performance. We argue that times have changed, and none of these reasons is valid anymore. We sound the warning that failure to emphasize services in our research and teaching may signal the decline of the discipline. We note the proportion of OM faculty in business schools has shrunk in the past 10 years. Finally, we examine a selection of service research agendas and note several directions for high-impact, innovative research to revitalize the decision sciences. With practitioners joining the call for more research in services, the academic community has an exciting opportunity to embrace services and reshape its future. [source]


Decision Sciences Research in China: A Critical Review and Research Agenda,Foundations and Overview,

DECISION SCIENCES, Issue 4 2006
Xiande Zhao
ABSTRACT This article focuses on decision sciences research in China, providing an overview of current research and developing a foundation for future China-based research. China provides a unique research opportunity for decision sciences researchers, owing to its recent history, rapid economic development, and strong national culture. We examine recent economic reforms and their impact on the development of research questions in the decision sciences, as well as discuss characteristics of the diverse regions in China and their potential as sites for various types of research. We provide a brief overview of recent China-based research on decision sciences issues relating to national culture, supply chain management, quality management, production planning and control, operations strategy, and new product development and discuss some of the unique methodological challenges inherent in China-based research. We conclude by looking forward to emerging research opportunities in China. [source]


A multidimensional framework for financial,economic decisions

JOURNAL OF MULTI CRITERIA DECISION ANALYSIS, Issue 3 2002
Winfried Hallerbach
Abstract Most financial,economic decisions are made consciously, with a clear and constant drive to ,good', ,better' or even ,optimal' decisions. Nevertheless, many decisions in practice do not earn these qualifications, despite the availability of financial economic theory, decision sciences and ample resources. We plea for the development of a multidimensional framework to support financial economic decision processes. Our aim is to achieve a better integration of available theory and decision technologies. We sketch (a) what the framework should look like, (b) what elements of the framework already exist and which not, and (c) how the MCDA community can co-operate in its development. Copyright © 2003 John Wiley & Sons, Ltd. [source]


Operations Risk Management: Overview of Paul Kleindorfer's Contributions

PRODUCTION AND OPERATIONS MANAGEMENT, Issue 5 2007
Morris A. Cohen
This paper reviews Paul Kleindorfer's contributions to Operations Management (OM), with a special focus on his research on risk management. An annotated bibliography of selected other contributions reviews the breadth of topics that have occupied Kleindorfer's research attention over his now 45 + years of research. These include optimal control theory, scheduling theory, decision sciences, investment planning and peak load pricing, plus a number of important applications in network industries and insurance. In the area of operations risk management, we review recent work that Kleindorfer and his colleagues in the Wharton Risk Center have undertaken on environmental management and operations, focusing on process safety and environmental risks in the chemical industry. This work is directly related to Kleindorfer's work in the broader area of "sustainable operations", which he, Kal Singhal and Luk Van Wassenhove recently surveyed as part of the new initiative at POMS to encompass sustainable management practices within the POMS community. Continuing in the area of supply chain risks, the paper reviews Kleindorfer's contributions to the development of an integrated framework for contracting and risk hedging for supply management. The emphasis on alignment of pricing, performance and risk management in this framework is presaged in the work undertaken by Kleindorfer and his co-authors in the 1980s on after-sales support services for high-technology products. This work on supply chain risk, and its successors, is reviewed here in light of its growing importance in managing the unbundled and global supply chains characteristic of the new economy. [source]