How ChatGPT can and can't help managers design better job roles /

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Bibliographic Details
Author / Creator:	Zhang, Fangfang, author.
Edition:	[First edition].
Imprint:	[Cambridge, Massachusetts] : MIT Sloan Management Review, 2023.
Description:	1 online resource (7 pages) : illustrations
Language:	English
Subject:	ChatGPT. Personnel management. Employee selection. Employee retention. Artificial intelligence -- Computer programs. Artificial intelligence -- Industrial applications. Artificial intelligence -- Computer programs Artificial intelligence -- Industrial applications Employee retention Employee selection Personnel management
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/13713299

Hidden Bibliographic Details
Other authors / contributors:	Parker, Sharon K., author.
Notes:	"Reprint #65215." Includes bibliographical references.
Summary:	Poorly designed job roles hurt employee engagement and retention. The problem: Many managers don't know how to create healthy, productive roles. New research shows that ChatGPT can bridge this knowledge gap and help leaders improve work design. But managers must understand the pros and cons of using generative AI technology for this task and how to do so effectively.
Standard no.:	53863MIT65215

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