All Outputs (2)

Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover (2022)
Journal Article
Chowdhury, S., Joel-Edgar, S., Dey, P., Bhattacharya, S., & Kharlamov, A. (2023). Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover. International Journal of Human Resource Management, 34(14), 2732-2764. https://doi.org/10.1080/09585192.2022.2066981

Employee turnover (ET) is a major issue faced by firms in all business sectors. Artificial intelligence (AI) machine learning (ML) prediction models can help to classify the likelihood of employees voluntarily departing from employment using historic... Read More about Embedding transparency in artificial intelligence machine learning models: managerial implications on predicting and explaining employee turnover.

Unlocking the value of artificial intelligence in human resource management through AI capability framework (2022)
Journal Article
Chowdhury, S., Dey, P., Joel-Edgar, S., Bhattacharya, S., Rodriguez-Espindola, O., Abadie, A., & Truong, L. (2023). Unlocking the value of artificial intelligence in human resource management through AI capability framework. Human Resource Management Review, 33(1), 100899. https://doi.org/10.1016/j.hrmr.2022.100899

Artificial Intelligence (AI) is increasingly adopted within Human Resource management (HRM) due to its potential to create value for consumers, employees, and organisations. However, recent studies have found that organisations are yet to experience... Read More about Unlocking the value of artificial intelligence in human resource management through AI capability framework.