Structural weaknesses and recent crises increased the fragility of the Turkish banking system. Consequently, 25% of the domestic commercial banks were taken by SDIF between 1997 and 2001. This study assesses the technical efficiency of nonpublic commercial banks between 1990 and 2001 following the DEA model. The study reports a declining trend in the number of efficient banks and the mean efficiency of bank subgroups. It analyzes sensitivity to the output variables and depicts consistency between the model proposals and supervisory agent decisions. Thus the DEA model can be a tool to detect and improve the sources of inefficiency by bank management and supervisory agents. (JEL G15, G21, G28)

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -An efficient asset-liability management requires maximizing banks' profit as well as controlling and lowering various risks. This multi-objective decision problem aims to reach goals such as maximization of liquidity, revenue, capital adequacy, and market share subject to financial, legal requirements and institutional policies. This paper models asset and liability management (ALM) in order to show how different managerial strategies affect the financial wellbeing of banks during crisis. Design/methodology/approach -A goal programming model is developed and applied to two medium-scale Turkish commercial banks with distinct risk-taking behavior. This article brings new evidence on the performance of emerging market banks with different managerial philosophies by comparing asset-liability management in crisis. Findings -The study has shown how shifts in market perceptions can create trouble during crisis, even if objective conditions have not changed. Originality/value -The proposed model can provide optimal forecasts of asset-liability components and banks' financial standing for different risk-taking strategies under various economic scenarios. This may facilitate the preparation of contingency plans and create a competitive advantage for bank decision makers.

International supplier selection, which is becoming a dominant strategy in an increasing number of sectors, is a multi-criterion decision problem. This study aims to contribute to this contemporary global issue initially by developing a multi-criteria hierarchical model for supplier selection utilizing the analytical hierarchy process (AHP). The AHP model aids decision making by quantifying the relative importance of each criterion and by ranking the suppliers. Secondly, The AHP model is augmented with a linear programming model which aims to maximize the buyer's total value of purchasing through optimal order splitting among suppliers. The augmented model will make it possible for the decision maker to observe the hierarchy of the supplier selection decision criteria, quantify the relative importance rate for each criterion, rank the suppliers, select the best supplier(s) and realize optimal order splitting among suppliers. Thirdly, the model is applied to a Turkish chemical company and an Australian one where the results point to some important differences in the two companies' decision criteria preferences and decision making habits. Although the findings cannot be generalized, this might pave the way for further analyses that will be conducted at country level. Comparative studies might aid not only in supplier selection but also in designing supply chains and supplier strategies.

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As the competition in the business world shifts from organizational to supply chain level and consequently include multi dimensions such as cost, quality and speed; efficiency and benchmarking analyses of supply chains require special attention. Within this context, this paper benchmarks the performance of Turkish food and beverage companies and discusses their global competitiveness as well as the improvement opportunities. Namely, it purposes to search for strengths and weaknesses at company level as well as opportunities and threats at the industry level. The methodology involves the data envelopment analysis (DEA) approach and related sensitivity analyses. Results illustrate that export increases supply chain efficiency scores of most companies, supporting some previous studies which show export as an indirect channel to increase productivity. Although Turkish food and beverage companies utilize a limited amount of their resources to generate export revenues and don't realize high export volumes, they seem to use their export strategies wisely and benefit from exports to a certain extent. Results also demonstrate that these companies can generate revenues but cannot utilize their resources and the related supply chains effectively to generate sufficient profits. Increasing the profit level might require more efficiently managed supply chains.