Bernroider, E., & Stix, V. (2007). A method using weight restrictions in data envelopment analysis for ranking and validity issues in decision making. Computers and Operations Research, 34(9), 2637–2647.
Abstract: In this article we introduce a comprehensive yet efficient approach based on data envelopment analysis (DEA) with restricted multipliers for accountable and understandable multiple attribute decision making (MADM). Information system (IS) appraisals are motivated and used for illustrating the proposed methodology. Results show that the given DEA based approach can easily and significantly increase the information frame of the decision maker by identifying disparate rankings and by affirming the stability and validity of ranking outcomes. The given validity concept is contrary to the directions given in the main body of research and can also be used to question ranking outcomes of classic MADM methods.
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Cracolici, M. F., & Nijkamp, P. (2009). The attractiveness and competitiveness of tourist destinations: A study of Southern Italian regions. Tourism Management, 30(3), 336–344.
Abstract: The present paper aims to assess the relative attractiveness of competing tourist destinations on the basis of individual visitors’ perceptions regarding a holiday destination. Using the feeling of tourist well-being achieved by individual tourists we evaluate indirectly the competitive ability of the tourist area to offer a compound tourist site attractiveness. The methodology employed here uses individual survey questionnaires on the tourists’ evaluation of the quality of tourist facilities and attributes in a given area (the [‘]regional tourist profile’) as the basis for constructing an aggregate expression for the relative attractiveness of that area. Using various multidimensional statistical techniques an estimation of the competitive attractiveness of the Southern regions in Italy is pursued. We also compare our findings with quantitative results on tourist competitiveness values obtained in a related previous study on tourist competitiveness in Italian regions. Finally, the paper highlights the need to use micro and macro data to analyse tourist attractiveness and to identify policies for improving regional tourist competitiveness.
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Farahani, R. Z., Seifi, M. S., & Asgari, N. (2010). Multiple criteria facility location problems: A survey. Applied Mathematical Modelling, 34(7), 1689–1709.
Abstract: This paper provides a review on recent efforts and development in multi-criteria location problems in three categories including bi-objective, multi-objective and multi-attribute problems and their solution methods. Also, it provides an overview on various criteria used. While there are a few chapters or sections in different location books related to this topic, we have not seen any comprehensive review papers or book chapter that can cover it. We believe this paper can be used as a complementary and updated version.
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Lee, J. - D., Repkine, A., Hwang, S. - W., & Kim, T. - Y. (2004). Estimating consumers’ willingness to pay for individual quality attributes with DEA. Journal of the Operational Research Society, 55(10), 1064–1070.
Abstract: In a highly competitive environment, a product’s commercial success depends increasingly more upon the ability to satisfy consumers’ preferences that are highly diversified. Since a product typically comprises a host of technological attributes, its market value incorporates all of the individual values of technological attributes. If the willingness-to-pay (WTP) for individual quality attributes of a product is known, one can conjecture the overall WTP or the imputed market price for the product. The market price listed by the producer has to be equal to or lower than this WTP for the commercial survival of the product. In this paper, we propose a methodology for estimating the value of individual product characteristics and thus the overall WTP of the product with DEA. Our methodology is based on a model derived from consumer demand theory on the one hand, and the recent developments in DEA on the other hand. The paper also presents a real case study for the mobile phone market, which is characterized by its high speed of innovation. On the theoretical side, we expect our framework to provide a possibility of combining DEA and consumer demand theory. We also expect that the empirical application will shed some light on the nature of the process of product differentiation based on consumers’ valuation.
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Morey, R. C., Fine, D. J., & Loree, S. W. (1990). Comparing the allocative efficiencies of hospitals. Omega, 18(1), 71–83.
Abstract: A new technique for comparing the performance of firms in controlling costs is introduced and applied to a sample of 60 hospitals. The multi-output, multi-input approach utilizes observed costs, process counts and non-controllable factors for a sample of hospitals to form peer groups to build allocative cost frontiers. The approach can be used to provide insights regarding conjectures about the relative efficiencies of various institutional types as well as the cost differentials associated with different levels of quality of care. The programming approach handles environmental factors such as case mix severity, the teaching mission of the institution, etc. Our illustrative results found an average of a 14% differential in the efficient cost between public and not-for-profits. Much better data is needed before any definitive findings can be stated, but the type of insights regarding the varying degree of separation of the cost frontiers for different levels of outputs is concretely illustrated.
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Narasimhan, R., Talluri, S., & Mahapatra, S. (2008). Effective response to RFQs and supplier development: A supplier’s perspective. International Journal of Production Economics, 115(2), 461–470.
Abstract: Considering multiple attributes while evaluating request for quotes (RFQs) responses from suppliers is gaining significant importance in industrial procurement. While price has traditionally been the most important factor in evaluating RFQ responses, incorporation of non-price attributes such as quality and delivery performance is becoming essential and critical. Research on multi-attribute RFQs has received significant attention in an auction format with models addressing issues relating to auction mechanism design, winner determination, and auction dynamics, primarily from a buyer’s perspective. There have been few approaches, if any, that have investigated the issue of response to multi-attribute RFQs from a supplier’s perspective, which is the focus of this paper. Such an approach will assist a supplier in effectively responding to RFQs, thereby maximizing the likelihood of winning future contracts. It also indirectly assists in supplier development and helps foster competition among suppliers, which benefits both the buyers and the suppliers. We develop mathematical models that address this important issue and demonstrate their usefulness through an illustrative dataset.
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Omero, M., D’Ambrosio, L., Pesenti, R., & Ukovich, W. (2005). Multiple-attribute decision support system based on fuzzy logic for performance assessment. European Journal of Operational Research, 160(3), 710–725.
Abstract: This paper deals with the problem of assessing the performance of a set of production units, simultaneously considering different kinds of information, yielded by a Data Envelopment Analysis, a qualitative data analysis and an expert assessment. The tool for integrating heterogeneous data is a model that applies fuzzy logic to decision support systems. The results obtained are a holistic performance assessment of each unit of the set and a ranking order of the units.
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Talluri, S., Narasimhan, R., & Viswanathan, S. (2007). Information technologies for procurement decisions: a decision support system for multi-attribute e-reverse auctions. International Journal of Production Research, 45(11), 2615–2628.
Abstract: Technologies for effectively transferring knowledge and information for streamlining procurement operations are becoming increasingly important for firms in order to effectively compete in global markets. Companies are utilizing a variety of e-procurement technologies such as e-sourcing, e-auctions, and electronic data interchange (EDI) to transact with their suppliers. E-auctions are considered as a tool for exchanging knowledge and information in a dynamic manner between buyers and suppliers resulting in efficient transactions at lower costs. The complexities associated in processing and exchanging information in an e-auction setting demand to use of advanced decision support systems (DSS). To this end, this paper focuses on developing a DSS tool for managing an e-reverse auction system that assists buyers in processing multi-dimensional information from suppliers in determining winners. Specifically, the DSS utilizes a combination of data envelopment analysis with buyer-specified inexact attribute preference information and integer programming for winner determination in a multi-sourcing, multi-attribute e-reverse auction. Through illustrative examples we discuss the application of these models in a variety of auction formats.
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