Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover-Reference-Cited by-同舟云学术

Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover

Published:2022-04-27 Issue: Volume: Page:1-32
ISSN:0958-5192
Container-title:The International Journal of Human Resource Management
language:en
Short-container-title:The International Journal of Human Resource Management

Author:

Chowdhury Soumyadeb¹^ORCID,Joel-Edgar Sian²^ORCID,Dey Prasanta Kumar³^ORCID,Bhattacharya Sudeshna⁴,Kharlamov Alexander³^ORCID

Affiliation:

1. Information, Operations and Management Sciences Department, TBS Business School, Toulouse, France

2. New College of the Humanities Northeastern University, London, United Kingdom

3. Operations and Information Management, Aston Business School, College of Business and Social Science, Aston University, Birmingham, United Kingdom

4. Work and Organisation Department, Aston Business School, College of Business and Social Science, Aston University, Birmingham, United Kingdom

Publisher

Informa UK Limited

Subject

Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management,Business and International Management,Industrial relations

Link

https://www.tandfonline.com/doi/pdf/10.1080/09585192.2022.2066981

Reference134 articles.

1. Agarrwal. (2020). How to win with machine learning. Harvard Business Review.

2. Hackman and Oldham's Job Characteristics Model to Job Satisfaction

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