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Wen-Min Lu

Researcher at Chinese Culture University

Publications -  132
Citations -  4409

Wen-Min Lu is an academic researcher from Chinese Culture University. The author has contributed to research in topics: Data envelopment analysis & Intellectual capital. The author has an hindex of 31, co-authored 116 publications receiving 3591 citations. Previous affiliations of Wen-Min Lu include National Defense University & National Defence University, Pakistan.

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A survey of DEA applications

TL;DR: This study is the first literature survey that focuses on DEA applications, covering DEA papers published in journals indexed by the Web of Science database from 1978 through August 2010, and suggests that the two-step contextual analysis and network DEA are the recent trends across applications.
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Data envelopment analysis 1978-2010: A citation-based literature survey

TL;DR: The five most active DEA subareas in recent years are identified; among them the “two-stage contextual factor evaluation framework” is relatively more active.
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Research fronts in data envelopment analysis

TL;DR: This study applies a network clustering method to group the literature through a citation network established from the DEA literature over the period 2000 to 2014, and presents the research fronts, a coherent topic or issue addressed by a group of research articles in recent years.
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Intellectual capital and performance in the Chinese life insurance industry

TL;DR: In this paper, the authors applied the dynamic slack-based measure (DSBM) model to evaluate the performance of 34 Chinese life insurance companies for the period 2006-2010. And they found that the mean efficiency scores of life insurers are relatively stable, ranging from 0.905 to 0.973.
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Benchmarking the operating efficiency of Asia container ports

TL;DR: This study applies data envelopment analysis with the traditional DEA model, most productive scale size concept, returns to scale approach, and bootstrap method to assess the operating performance, set scale efficient targets, and determine efficiency rankings of Asian container ports.