Exploring the Accuracy of Machine Learning Models in Predicting Toxic Leadership: A Case Study in the IT Industry-Reference-Cited by-同舟云学术

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Exploring the Accuracy of Machine Learning Models in Predicting Toxic Leadership: A Case Study in the IT Industry

Published:2024-02-26 Issue: Volume:39 Page:1-5
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
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Author:

Alami Rachid¹^ORCID,Masaeid Turki Al²^ORCID,Stachowicz-Stanusch Agata¹^ORCID

Affiliation:

1. School of Management, Canadian University Dubai,Dubai,UAE

2. Abu Dhabi School of Management,Abu Dhabi,UAE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10532955.pdf?arnumber=10532955

Reference25 articles.

1. Toxic leadership in Moroccan organizations: The mediating role of organizational silence;Abdelfattah;Journal of Management Development,2020

2. Identifying Abusive Supervision in Textual Communication: A Machine Learning Approach;Akhtar;Journal of Applied Psychology,2013

3. Understanding the influence of organizational culture on toxicleadership;Benitez-Amado;Leadership & Organization Development Journal,2017

4. Development of a measure of workplace deviance.

5. Social undermining in the workplace: A review and research agenda;Duffy;Journal of Management,2018

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