AI: A knowledge sharing tool for improving employees’ performance

IF 2.8 Q2 OPERATIONS RESEARCH & MANAGEMENT SCIENCE Journal of Decision Systems Pub Date : 2023-10-10 DOI:10.1080/12460125.2023.2263687
Femi Olan, Richard B. Nyuur, Emmanuel Ogiemwonyi Arakpogun, Ziad Elsahn
{"title":"AI: A knowledge sharing tool for improving employees’ performance","authors":"Femi Olan, Richard B. Nyuur, Emmanuel Ogiemwonyi Arakpogun, Ziad Elsahn","doi":"10.1080/12460125.2023.2263687","DOIUrl":null,"url":null,"abstract":"The utilisation of artificial intelligence (AI) is progressively emerging as a significant mechanism for innovation in human resource management (HRM). The capacity to facilitate the transformation of employee performance across numerous responsibilities. AI development, there remains a dearth of comprehensive exploration into the potential opportunities it presents for enhancing workplace performance among employees. To bridge this gap in knowledge, the present work carried out a survey with 300 participants, utilises a fuzzy set-theoretic method that is grounded on the conceptualisation of AI, KS, and HRM. The findings of our study indicate that the exclusive adoption of AI technologies does not adequately enhance HRM engagements. In contrast, the integration of AI and KS offers a more viable HRM approach for achieving optimal performance in a dynamic digital society. This approach has the potential to enhance employees’ proficiency in executing their responsibilities and cultivate a culture of creativity inside the firm.","PeriodicalId":45565,"journal":{"name":"Journal of Decision Systems","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Decision Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/12460125.2023.2263687","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

The utilisation of artificial intelligence (AI) is progressively emerging as a significant mechanism for innovation in human resource management (HRM). The capacity to facilitate the transformation of employee performance across numerous responsibilities. AI development, there remains a dearth of comprehensive exploration into the potential opportunities it presents for enhancing workplace performance among employees. To bridge this gap in knowledge, the present work carried out a survey with 300 participants, utilises a fuzzy set-theoretic method that is grounded on the conceptualisation of AI, KS, and HRM. The findings of our study indicate that the exclusive adoption of AI technologies does not adequately enhance HRM engagements. In contrast, the integration of AI and KS offers a more viable HRM approach for achieving optimal performance in a dynamic digital society. This approach has the potential to enhance employees’ proficiency in executing their responsibilities and cultivate a culture of creativity inside the firm.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
人工智能:提高员工绩效的知识共享工具
人工智能(AI)的利用正逐渐成为人力资源管理(HRM)创新的重要机制。促进跨多个职责的员工绩效转变的能力。在人工智能的发展过程中,仍然缺乏对其为提高员工的工作场所绩效所带来的潜在机会的全面探索。为了弥合这一知识差距,目前的工作对300名参与者进行了一项调查,利用基于人工智能,KS和人力资源管理概念化的模糊集合论方法。我们的研究结果表明,人工智能技术的独家采用并不能充分提高人力资源管理的参与度。相比之下,AI和KS的整合为在动态的数字社会中实现最佳绩效提供了更可行的人力资源管理方法。这种方法有可能提高员工执行职责的熟练程度,并在公司内部培养创造力文化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Journal of Decision Systems
Journal of Decision Systems OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
6.30
自引率
23.50%
发文量
55
期刊最新文献
Decision support for traffic safety: case of rear-end collision modelling Machine learning-based empirical investigation of user’s perception of digitalisation in pandemic immunisation programs Exploring the PhD supervisor/candidate relationship for a ‘publication-based thesis’: a metaphor-driven approach Living in the tension: an organisational decision-making framework and paradigm Literature review of food insecurity in the Sahel from an interdisciplinary perspective
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1