Y
Yao Chen
Researcher at University of Massachusetts Amherst
Publications - 89
Citations - 4866
Yao Chen is an academic researcher from University of Massachusetts Amherst. The author has contributed to research in topics: Data envelopment analysis & Productivity. The author has an hindex of 30, co-authored 87 publications receiving 4189 citations. Previous affiliations of Yao Chen include Nanjing Audit University & Beihang University.
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Additive efficiency decomposition in two-stage DEA
TL;DR: The current paper develops an additive efficiency decomposition approach wherein the overall efficiency is expressed as a (weighted) sum of the efficiencies of the individual stages and can be applied under both CRS and variable returns to scale (VRS) assumptions.
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Measuring Information Technology's Indirect Impact on Firm Performance
TL;DR: An efficiency model is developed that identifies the efficient frontier of a two-stage production process linked by intermediate measures and is used to characterize the indirect impact of IT on firm performance and highlight those firms that can be further analyzed for best practice benchmarking.
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Data envelopment analysis application in sustainability: The origins, development and future directions
TL;DR: This study reviews the literature on data envelopment analysis (DEA) applications in sustainability using citation-based approaches and constructs a directional network based on citation relationships among DEA papers published in journals indexed by the Web of Science database from 1996 to March 2016.
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DEA Models for Extended Two-Stage Network Structures
TL;DR: Two models are proposed to evaluate the performance of this type general two-stage network structures where all outputs of the first stage are the only inputs to the second stage, and a non-cooperative model, in which one of the stages is regarded as the leader and the other is the follower.
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DEA game cross-efficiency approach to Olympic rankings
Jie Wu,Liang Liang,Yao Chen +2 more
TL;DR: In this article, a modified variable returns to scale (VRS) model was proposed to evaluate the performance of the countries in Olympic games, where each DMU is viewed as a competitor via non-cooperative game and a multiplier bundle is determined that optimizes the efficiency score for that DMU.