Author
Nicole Adler
Other affiliations: Northwestern University, University of British Columbia, Ben-Gurion University of the Negev
Bio: Nicole Adler is an academic researcher from Hebrew University of Jerusalem. The author has contributed to research in topics: Data envelopment analysis & Competition (economics). The author has an hindex of 28, co-authored 55 publications receiving 3681 citations. Previous affiliations of Nicole Adler include Northwestern University & University of British Columbia.
Papers published on a yearly basis
Papers
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TL;DR: No one methodology can be prescribed here as the complete solution to the question of ranking, as each technique is useful in a specialist area.
815 citations
TL;DR: To overcome the difficulties that DEA encounters when there is an excessive number of inputs or outputs, principal component analysis (PCA) is employed to aggregate certain, clustered data, whilst ensuring very similar results to those achieved under the original DEA model.
365 citations
TL;DR: In this paper, the authors developed a model to determine the relative efficiency and quality of airports based on data envelopment analysis (DEA), which has been adapted through the use of principle component analysis.
285 citations
TL;DR: In this article, the authors focus on measuring and comparing productive efficiency and profitability among airports owned and operated by government departments, 100% government-owned corporations, independent airport authorities, mixed enterprises with government majority ownership, and private enterprises with private majority ownership.
274 citations
TL;DR: In this article, the authors developed a methodology to assess infrastructure investments and their effects on transport equilibria taking into account competition between multiple privatized transport operator types, including high-speed rail, hub-and-spoke legacy airlines and regional low-cost carriers.
Abstract: This research develops a methodology to assess infrastructure investments and their effects on transport equilibria taking into account competition between multiple privatized transport operator types. The operators, including high-speed rail, hub-and-spoke legacy airlines and regional low-cost carriers, maximize best response functions via prices, frequency and train/plane sizes, given infrastructure provision, cost functions and environmental charges. The methodology is subsequently applied to all 27 European Union countries, specifically analyzing four of the prioritized Trans-European networks. The general conclusions suggest that the European Union, if interested in maximizing overall social welfare, should encourage the development of the high-speed rail network across Europe.
231 citations
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01 Jan 1999
TL;DR: In this paper, the authors explore whether the world economy is breaking up into regional trading and currency blocs centred on the European Community, Japan and the United States, and conclude with an analysis of how trends in regional economic integration can be used as building blocks for a stronger multilateral system.
Abstract: This book explores whether the world economy is breaking up into regional trading and currency blocs centred on the European Community, Japan and the United States. Frankel uses trade, investment and financial data to assess this issue. He concludes with an analysis of how trends in regional economic integration can be used as building blocks for a stronger multilateral system.
1,035 citations
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TL;DR: In this article, the authors employ a novel conceptual framework in their research on industrial clusters in Europe, Latin America and Asia and provide new perspectives and insights for researchers and policymakers alike.
Abstract: This book opens a fresh chapter in the debate on local enterprise clusters and their strategies for upgrading in the global economy. The authors employ a novel conceptual framework in their research on industrial clusters in Europe, Latin America and Asia and provide new perspectives and insights for researchers and policymakers alike.
913 citations
TL;DR: A systematic literature review on articles published from 2008 to 2012 on the application of DM techniques for supplier selection is provided by using a methodological decision analysis in four aspects including decision problems, decision makers, decision environments, and decision approaches.
Abstract: Despite the importance of decision-making (DM) techniques for construction of effective decision models for supplier selection, there is a lack of a systematic literature review for it. This paper provides a systematic literature review on articles published from 2008 to 2012 on the application of DM techniques for supplier selection. By using a methodological decision analysis in four aspects including decision problems, decision makers, decision environments, and decision approaches, we finally selected and reviewed 123 journal articles. To examine the research trend on uncertain supplier selection, these articles are roughly classified into seven categories according to different uncertainties. Under such classification framework, 26 DM techniques are identified from three perspectives: (1) Multicriteria decision making (MCDM) techniques, (2) Mathematical programming (MP) techniques, and (3) Artificial intelligence (AI) techniques. We reviewed each of the 26 techniques and analyzed the means of integrating these techniques for supplier selection. Our survey provides the recommendation for future research and facilitates knowledge accumulation and creation concerning the application of DM techniques in supplier selection.
825 citations
TL;DR: No one methodology can be prescribed here as the complete solution to the question of ranking, as each technique is useful in a specialist area.
815 citations