Proceedings of the 2021 International Conference on Transformations and Innovations in Business and Education (ICTIBE 2021)

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Research on the Operational Efficiency of NBA Clubs Based on DEA Model

Authors
Zhinan Mao, Qingmei Tan
Corresponding Author
Zhinan Mao
Available Online 9 August 2021.
DOI
10.2991/aebmr.k.210809.003How to use a DOI?
Keywords
NBA Club, Efficiency, DEA
Abstract

Based on the data of 30 NBA teams in the 2018-2020 season, establish an input-output indicator system. Use the data envelopment analysis method to measure and analyze the efficiency of the team club. The results show that the efficiency of each club in the NBA is quite different; there are more teams at low and medium levels of efficiency; superstars have a greater impact on the efficiency of the team; teams with increasing returns to scale account for the majority. Based on this, NBA teams should expand the scale of investment, improve management efficiency, and strive to pursue superstars.

Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2021 International Conference on Transformations and Innovations in Business and Education (ICTIBE 2021)
Series
Advances in Economics, Business and Management Research
Publication Date
9 August 2021
ISBN
10.2991/aebmr.k.210809.003
ISSN
2352-5428
DOI
10.2991/aebmr.k.210809.003How to use a DOI?
Copyright
© 2021, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

risenwbib
TY  - CONF
AU  - Zhinan Mao
AU  - Qingmei Tan
PY  - 2021
DA  - 2021/08/09
TI  - Research on the Operational Efficiency of NBA Clubs Based on DEA Model
BT  - Proceedings of the 2021 International Conference on Transformations and Innovations in Business and Education (ICTIBE 2021)
PB  - Atlantis Press
SP  - 14
EP  - 20
SN  - 2352-5428
UR  - https://doi.org/10.2991/aebmr.k.210809.003
DO  - 10.2991/aebmr.k.210809.003
ID  - Mao2021
ER  -