Koichiro Hirokawa

Bio: Koichiro Hirokawa is an academic researcher from Osaka University. The author has contributed to research in topics: Data envelopment analysis & Inefficiency. The author has an hindex of 1, co-authored 1 publications receiving 125 citations.

A slack-based measure of efficiency in context-dependent data envelopment analysis

Abstract: Data envelopment analysis (DEA) has been proven as an excellent data-oriented performance evaluation method when multiple inputs and outputs are present in a set of peer decision-making units (DMUs). In the DEA literature, a context-dependent DEA is developed to provide finer evaluation results by examining the efficiency of DMUs in specific performance levels based upon radial DEA efficiency scores. In DEA, non-zero input and output slacks are very likely to present after the radial efficiency score improvement. Often, these non-zero slack values represent a substantial amount of inefficiency. Therefore, in order to fully measure the inefficiency in DMU's performance, it is very important to also consider the inefficiency represented by the non-zero slacks in the context-dependent DEA. This study proposes a slack-based context-dependent DEA which allows a full evaluation of inefficiency in a DMUs performance. By using slack-based efficiency measure, we obtain different frontier levels and more appropriate performance benchmarks for inefficient DMUs.

Opening the black box of efficiency analysis: An illustration with UAE banks

Abstract: Standard data envelopment analysis (DEA) does not provide adequate detail to identify the specific sources of inefficiency embedded in interacting divisions of an organization On the other hand, network DEA gives access to this underlying diagnostic information that would otherwise remain undiscovered As a first study of its kind, the paper illustrates an application of non-oriented network slacks-based measure using simulated profit center data that, in turn, rely on actual aggregate data on domestic commercial banks in the United Arab Emirates (UAE) The study also contributes to a perennial research problem, namely, inability of the outside researcher to access internal data for developing or testing new methods In addition to these contributions to the Operations Research literature, focusing on UAE contributes to banking literature because this rapidly expanding part of the Middle East seldom appears in frontier efficiency literature

Productivity Analysis in the Service Sector with Data Envelopment Analysis

Abstract: Throughout the book, my colleagues and I have endeavored to address the DEA theory needed by the end-users, key model design issues, correct interpretation of DEA results, and advanced concepts of current research focused on further development of DEA. The examples are chosen from the service sector. Specifically represented areas are banking, education, property management, hospitality, tourism, health insurance, socially responsible investments, public transportation, pension funds, information technology, public hospitals, Olympics, telecommunications, public library, police stations, energy, retail, and research centers. Chapter titles follow the naming convention of providing the topic or purpose of the chapter first, followed by the listing of the industries or areas where illustrations have been set.