Investigating the emerging and future trends of knowledge management in small and medium enterprises: a science mapping approach

Muhammad Ashraf Fauzi, Zuria Akmal Saad, Mohd Hanafiah Ahmad, Muhammad Zorif Fauzi, Md Faizal Ahmad
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Abstract

Purpose This study aims to evaluate the knowledge structure of knowledge management (KM) applications within small and medium enterprises (SMEs). In pursuit of excellence, SMEs must adopt KM like large corporations, even with limited resources. Design/methodology/approach Through a bibliometric approach, this study evaluates current themes based on bibliographic coupling analysis and predicts future trends based on coword analysis. A total of 726 documents and 2,658 keywords were derived from the Web of Science database. Findings Findings show four clusters in bibliographic coupling and three in coword analysis. A common theme discovered converged on digital technology to ensure SMEs follow current market trends. Research limitations/implications Advanced application of Industry 4.0 requires digital transformation for SMEs’ pursuit of excellence. Implications include sustaining SMEs through a considerable KM system integrated with digital technology for sustainable business activities. Originality/value To the best of the authors’ knowledge, this study is among the first to provide a science mapping analysis on KM in SMEs by applying a bibliometric analysis.
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调查中小企业知识管理的新兴和未来趋势:一种科学映射方法
本研究旨在评估中小企业知识管理应用的知识结构。中小企业在追求卓越的过程中,即使资源有限,也必须像大企业一样采用知识管理。本研究采用文献计量学方法,基于文献耦合分析评估当前主题,并基于coword分析预测未来趋势。Web of Science数据库共检索到726篇文献和2658个关键词。研究结果表明,文献耦合有4个聚类,码词分析有3个聚类。一个共同的主题发现融合了数字技术,以确保中小企业跟上当前的市场趋势。研究局限/启示工业4.0的深入应用要求中小企业进行数字化转型以追求卓越。影响包括通过与可持续商业活动的数字技术相结合的相当大的知识管理系统来维持中小企业。据作者所知,本研究是第一个运用文献计量学分析方法对中小企业知识管理进行科学映射分析的研究。
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