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

• Verfasst von: Zhang, Fangfang [VerfasserIn]
• Verfasst von: Parker, Sharon K. [VerfasserIn]
• Titel: How ChatGPT can and can't help managers design better job roles
• Verf.angabe: Fangfang Zhang and Sharon K. Parker
• Ausgabe: [First edition].
• Verlagsort: [Cambridge, Massachusetts]
• Verlag: MIT Sloan Management Review
• Jahr: 2023
• Umfang: 1 online resource (7 pages)
• Illustrationen: illustrations
• Fussnoten: "Reprint #65215.". - Includes bibliographical references
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1871285712
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4418425888
• Lokale URL Inst.: Zum Volltext

Abstract

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.