The efficiency-powering partnership of knowledge workers and AI: Exploring knowledge sharing and learning process strategies that integrate AI system automation

Abstract

Purpose

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

Design/methodology/approach

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Findings

AI systems are ever desirable in the international business environment, not least because they express promise to/promising potential to collaborate with humans through automating tasks. This paper produces a framework for enhancing the roles of knowledge workers, by supporting and building their learning and knowledge management activity. The use cases covered for context include chatbots for HR onboarding, CRM sentiment analysis, and case law research in law firms. The authors recommend that leaders and managers should avoid relying on only one category of AI system, and that bespoke AI systems are built around different knowledge worker role types.

Originality/value

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Citation

(2023), "The efficiency-powering partnership of knowledge workers and AI: Exploring knowledge sharing and learning process strategies that integrate AI system automation", Human Resource Management International Digest, Vol. 31 No. 2, pp. 21-23. https://doi.org/10.1108/HRMID-11-2022-0278