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Journal of the Operational Research Society Volume 72, 2021 - Issue 5: Special Issue Data Science for Better Productivity
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Special Issue on Data Science for Better Productivity

Corporate diversification, firm productivity and resource allocation decisions: The data envelopment analysis approach

Ruixue Jianga Management Science, School of Management, University of Science and Technology of China, Hefei, Anhui Province, China
,
Yi Yangb Marketing Entrepreneurship & Innovation, University of Massachusetts Lowell Robert J Manning School of Business, Lowell, Massachusetts, USACorrespondence[email protected]
,
Yao Chenc Department of Operations & Information Systems, University of Massachusetts Lowell, Lowell, Massachusetts, USA
&
Liang Lianga Management Science, School of Management, University of Science and Technology of China, Hefei, Anhui Province, China
Pages 1002-1014 | Received 21 May 2018, Accepted 17 Dec 2018, Published online: 04 Apr 2019

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Yao Wen, Junhua Hu, Qingxian An & Yeming Gong. (2023) Gain measurement and payoff allocation for the internal resource sharing based on DEA approach. Journal of the Operational Research Society 74:4, pages 1105-1117.
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Vincent Charles, Juan Aparicio & Joe Zhu. (2021) Data science for better productivity. Journal of the Operational Research Society 72:5, pages 971-974.
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Gangqiang Yang, Honggui Li, Yiming Nie, Ziyang Yue & Haisen Wang. Digital transformation and firm performance: the role of factor allocation. Applied Economics 0:0, pages 1-18.
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Articles from other publishers (2)

Yaotian Sun, Ruchuan Zhang & Aijun Li. (2024) A new concept of education-innovation-economy-environment sustainability system: a new framework of strategy-based network data envelopment analysis. Environment, Development and Sustainability.
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Yu Zhu, Feng Yang, Bengang Gong & Wei Zeng. (2022) RETRACTED ARTICLE: Assessing the efficiency of innovation entities in China: evidence from a nonhomogeneous data envelopment analysis and Tobit. Electronic Commerce Research 23:1, pages 175-205.
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