Author
Jungnam An
Bio: Jungnam An is an academic researcher from Electronics and Telecommunications Research Institute. The author has contributed to research in topics: Data envelopment analysis & Profitability index. The author has an hindex of 2, co-authored 4 publications receiving 37 citations.
Papers
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TL;DR: This model can identify weakly efficient units of evaluation that could not be identified by the previous models and is applied to the data from the banking industry and compared with those of the previous two-stage DEA models.
35 citations
21 Nov 2007
TL;DR: Empirical results indicate that none of the telecoms with high valuations are highly efficient in terms of DEA, and that wireless operators are more efficient than full-service telecoms interms of profitability and marketability.
Abstract: This study applies a data envelopment analysis (DEA) approach to measure the magnitude of performance differences between leading telecom operators in terms of their marketability and profitability. It compares the financial valuations and relative productivity efficiencies of the leading global telecoms. Empirical results indicate that none of the telecoms with high valuations are highly efficient in terms of DEA, and that wireless operators are more efficient than full-service telecoms in terms of profitability and marketability. The results are expected to be utilized as benchmarking strategies for wireless and full-service telecommunications to be equipped with competitive advantages.
2 citations
01 Jun 2007
TL;DR: The purpose of this paper is to propose a discriminatory congestion pricing model using adverse selection which provides a pricing mechanism that reflects user’s different congestion sensitivities.
Abstract: The quality of network services deteriorates as network utilization increases beyond a certain point, i.e., congestion externalities. Many researchers have proposed congestion pricing models which internalize congestion externalities. However, most studies are based on a unit pricing which cannot reflect user’s different congestion sensitivities. The purpose of this paper is to propose a discriminatory congestion pricing model using adverse selection. Our pricing mechanism provides a
1 citations
TL;DR: In this article, the authors suggest a free disposal hull (FDH) model, an applied model of data envelopment analysis (DEA), for online buyer-seller transactions and verify it with the data from an Internet comparison shopping site.
Abstract: In a buyer-seller transaction process, `value for money,` a measure of quality-price-ratio, is one of the most important criteria for buyers` purchasing decisions. The purpose of this paper is to suggest a method which helps online shoppers choose the best of several sellers offering homogeneous goods. We suggest FDH (free disposal hull) model, an applied model of data envelopment analysis (DEA), for online buyer-seller transactions and verify it with the data from an Internet comparison shopping site. For this purpose, we analyze consumer choice behaviors by examining how consumers respond to different sale conditions such as price, brand, or delivery time. Then, we implement a seller recommendation system to support buyers` purchasing decisions. We expect our FDH model to provide valuable information for rational buyers who want to pay the least price for high quality products/services and to be used in implementing automated evaluation processes in micro transactions. Moreover, we expect that our results can be utilized for sellers` benchmarking strategies which help sellers be more competitive by showing them how to attract buyers.
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TL;DR: This paper reviews studies on network DEA by examining the models used and the structures of the network system of the problem being studied, and highlights some directions for future studies from the methodological point of view.
446 citations
TL;DR: In this article, the authors proposed a relational network data envelopment analysis (DEA) model for measuring the innovation efficiency of the NIS by decomposing the innovation process into a network with a two-stage innovation production framework, an upstream knowledge production process (KPP) and a downstream knowledge commercialization process.
327 citations
TL;DR: This study proposes a three-stage DEA model with two independent parallel stages linking to a third final stage and calculates the efficiency of this model by considering a series of intermediate measures and constraints.
98 citations
TL;DR: In this paper, the authors present a survey and classification of two-stage DEA models and point out the significance of these models for the decision maker of a supply chain, and present some concluding remarks and a number of policy implications and opportunities for decision maker.
90 citations
01 Sep 2010
TL;DR: This study presents a four-phase fuzzy DEA framework based on the theory of displaced ideal, where the ideal and nadir DMUs are constructed and used as reference points to evaluate a set of information technology investment strategies based on their Euclidean distance.
Abstract: Data envelopment analysis (DEA) is a widely used mathematical programming approach for evaluating the relative efficiency of decision making units (DMUs) in organizations. Crisp input and output data are fundamentally indispensable in traditional DEA evaluation process. However, the input and output data in real-world problems are often imprecise or ambiguous. In this study, we present a four-phase fuzzy DEA framework based on the theory of displaced ideal. Two hypothetical DMUs called the ideal and nadir DMUs are constructed and used as reference points to evaluate a set of information technology (IT) investment strategies based on their Euclidean distance from these reference points. The best relative efficiency of the fuzzy ideal DMU and the worst relative efficiency of the fuzzy nadir DMU are determined and combined to rank the DMUs. A numerical example is presented to demonstrate the applicability of the proposed framework and exhibit the efficacy of the procedures and algorithms.
84 citations