All Outputs (4)

In Pursuit of Impact: How Psychological Contract Research Can Make the Work-World a Better Place (2024)
Journal Article
Kraak, J. M., Hansen, S. D., Griep, Y., Bhattacharya, S., Bojovic, N., Diehl, M.-R., Evans, K., Fenneman, J., Memon, I. I., Fortin, M., Lau, A., Lee, H., Lee, J., Lub, X., Meyer, I., Ohana, M., Peters, P., Rousseau, D. M., Schalk, R., Searle, R. H., …Tekleab, A. (2024). In Pursuit of Impact: How Psychological Contract Research Can Make the Work-World a Better Place. Group and Organization Management, 49(6), 1425-1453. https://doi.org/10.1177/10596011241233019

This paper is the result of the collective work undertaken by a group of Psychological Contract (PC) and Sustainability scholars from around the world, following the 2023 Bi-Annual PC Small Group Conference (Kedge Business School, Bordeaux, France).... Read More about In Pursuit of Impact: How Psychological Contract Research Can Make the Work-World a Better Place.

I can do good even when my supervisor is bad: Abusive supervision and employee socially responsible behaviour (2023)
Journal Article
Babu, N., De Roeck, K., Rivkin, W., & Bhattacharya, S. (2024). I can do good even when my supervisor is bad: Abusive supervision and employee socially responsible behaviour. Journal of Occupational and Organizational Psychology, 97(2), 555-578. https://doi.org/10.1111/joop.12482

Existing research has convincingly demonstrated the deleterious impact of abusive supervision within the boundaries of the organization. However, we ask, can the harmful consequences of abusive supervision extend beyond organizational boundaries, and... Read More about I can do good even when my supervisor is bad: Abusive supervision and employee socially responsible behaviour.

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.