Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach-Reference-Cited by-同舟云学术

Understanding the effect of contextual factors and decision making on team performance in Twenty20 cricket: an interpretable machine learning approach

Published:2022-11-04 Issue: Volume: Page:
ISSN:0254-5330
Container-title:Annals of Operations Research
language:en
Short-container-title:Ann Oper Res

Author:

Puram Praveen^ORCID,Roy Soumya,Srivastav Deepak,Gurumurthy Anand

Publisher

Springer Science and Business Media LLC

Subject

Management Science and Operations Research,General Decision Sciences

Link

https://link.springer.com/content/pdf/10.1007/s10479-022-05027-1.pdf

Reference63 articles.

1. Adcroft, A., & Teckman, J. (2011). Performance and competitive orientation: Team dynamics in test match cricket. Sport, Business and Management: An International Journal, 1(1), 76–92. https://doi.org/10.1108/20426781111107180

2. Adhikari, A., Majumdar, A., Gupta, G., & Bisi, A. (2020). An innovative super-efficiency data envelopment analysis, semi-variance, and Shannon-entropy-based methodology for player selection: Evidence from cricket. Annals of Operations Research, 284(1), 1–32.

3. Ahmad, H., Daud, A., Wang, L., Hong, H., Dawood, H., & Yang, Y. (2017). Prediction of rising stars in the game of cricket. IEEE Access, 5, 4104–4124.

4. Akhtar, S., & Scarf, P. (2012). Forecasting test cricket match outcomes in play. International Journal of Forecasting, 28(3), 632–643.

5. Akhtar, S., Scarf, P., & Rasool, Z. (2015). Rating players in test match cricket. Journal of the Operational Research Society, 66(4), 684–695. https://doi.org/10.1057/jors.2014.30

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Understanding the challenges affecting food-sharing apps’ usage: insights using a text-mining and interpretable machine learning approach;Annals of Operations Research;2024-06-27

2. Data-Driven Strategies for Enhancing Performance in Indian Premier League: A Case Study of Royal Challengers Bangalore;2024 International Conference on Emerging Technologies in Computer Science for Interdisciplinary Applications (ICETCS);2024-04-22

3. Prediction of Shot Selection of a Batsman in the death over of a T20 Cricket Match using Machine Learning;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. RunsGuard Framework: Context Aware Cricket Game Strategy for Field Placement and Score Containment;Applied Sciences;2024-03-15

5. To attract viewers based on batting strike rate: an analysis of men’s international Twenty20 cricket;Sport, Business and Management: An International Journal;2024-02-05