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Exploring knowledge management technologies to enhance sustainability and mitigate technostress from a collaborative perspective
Journal of Knowledge Management ( IF 6.6 ) Pub Date : 2024-11-12 , DOI: 10.1108/jkm-12-2023-1304
Jihye Lim, Junseok Hwang

Purpose

The relevance of digital technology and knowledge management (KM) has been increasing continuously owing to their importance in sustainability. However, research on which technology leads to collaboration in KM and how it affects sustainability is lacking. Therefore, this study aims to analyze knowledge collaboration management technologies for sustainable growth based on academic literature and technology patents.

Design/methodology/approach

This paper analyzed current technology and academic trends in KM using BERTopic, an artificial intelligence natural language processing model, and proposed future promising candidate technologies and potential application areas in terms of collaboration and sustainability.

Findings

From the textual data of research papers and patents, this paper extracted 10 and 47 major topics, respectively. Moreover, five potential and feasible candidate patents along with their applicable fields were recommended.

Originality/value

The strength of this study is its analysis of the technologies affecting collaboration and sustainability in KM. This paper found that new digital technologies (i.e. artificial intelligence, cloud computing and big data) impact organizations’ KM and have the potential for collaboration. Digital technologies have a positive impact on corporate smartness directly and sustainability and inclusion indirectly. This paper argued that organizations should understand and identify various promising technological factors and apply them to their KM from a collaboration perspective.



中文翻译:


从协作角度探索知识管理技术以增强可持续性并减轻技术压力


 目的


由于数字技术和知识管理 (KM) 在可持续性方面的重要性,它们的相关性一直在不断提高。然而,缺乏关于哪些技术导致知识管理合作以及它如何影响可持续性的研究。因此,本研究旨在基于学术文献和技术专利分析知识协作管理技术以实现可持续增长。


设计/方法/方法


本文使用人工智能自然语言处理模型 BERTopic 分析了 KM 的当前技术和学术趋势,并在协作和可持续性方面提出了未来有前途的候选技术和潜在应用领域。

 发现


本文从研究论文和专利的文本数据中,分别提取了 10 个和 47 个主要主题。此外,还推荐了 5 项潜在可行的候选专利及其适用领域。

 原创性/价值


这项研究的优势在于它对影响知识管理协作和可持续性的技术的分析。本文发现,新的数字技术(即人工智能、云计算和大数据)会影响组织的 KM,并具有协作的潜力。数字技术对企业智能性有直接的积极影响,对可持续性和包容性有间接的积极影响。本文认为,组织应该理解和识别各种有前途的技术因素,并从协作的角度将它们应用于他们的 KM。

更新日期:2024-11-09
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