小企业知识管理研究的趋势

IF 4 Q2 BUSINESS
Shekhar, Marco Valeri
{"title":"小企业知识管理研究的趋势","authors":"Shekhar, Marco Valeri","doi":"10.1108/ebr-10-2022-0200","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThis paper aims to map the knowledge management research in small businesses and suggest future actions to strengthen managerial practices. Knowledge management practices foster the growth of small businesses. They allow innovation to grow within the institutions, enhance customer satisfaction and reduce employee absenteeism and attrition.\n\n\nDesign/methodology/approach\nThe study adopts a bibliometric protocol to retrieve the 686 articles published in the Web of Science (WoS) database. The WoS database is selected to ensure only quality and peer-reviewed publications are analysed in the study. It then identifies the top contributions, and existing thematic areas, and suggests future research and policy actions for boosting economic growth through small business. The study uses VOSviewer, Science of Science (Sci2) and Gephi to conduct the bibliometric and network analysis.\n\n\nFindings\nThe results from keyword co-occurrence and co-citation analysis helps in identifying thematic areas. The findings highlight that there exist five major themes in knowledge management research for small businesses. The dynamic co-citation analysis helps in tracing the evolution of these clusters and suggests future themes, research directions and methodological advances in the theme. PageRank analysis helps in identifying the top articles published on high-impact journals in the theme.\n\n\nResearch limitations/implications\nThe study helps researchers by summarising existing literature and identifying key thematic areas. It also assists policymakers by recommending actions to improve knowledge management practises in small businesses to gain a competitive advantage. The paper suffers from the limitations of bibliometric analysis. The sample is collected from a single data source and a single type (journal articles) and the statistical accuracy of the analysis depends on the quality of the sample.\n\n\nOriginality/value\nThe study’s originality lies in using fit-for-purpose software in clustering the research and suggesting actions. To the best of the authors’ knowledge, this study is one of its kind in applying bibliometrics in studying and covering several aspects of knowledge management in small businesses with a combination of software.\n","PeriodicalId":47867,"journal":{"name":"European Business Review","volume":null,"pages":null},"PeriodicalIF":4.0000,"publicationDate":"2023-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Trends in knowledge management research in small businesses\",\"authors\":\"Shekhar, Marco Valeri\",\"doi\":\"10.1108/ebr-10-2022-0200\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\nPurpose\\nThis paper aims to map the knowledge management research in small businesses and suggest future actions to strengthen managerial practices. Knowledge management practices foster the growth of small businesses. They allow innovation to grow within the institutions, enhance customer satisfaction and reduce employee absenteeism and attrition.\\n\\n\\nDesign/methodology/approach\\nThe study adopts a bibliometric protocol to retrieve the 686 articles published in the Web of Science (WoS) database. The WoS database is selected to ensure only quality and peer-reviewed publications are analysed in the study. It then identifies the top contributions, and existing thematic areas, and suggests future research and policy actions for boosting economic growth through small business. The study uses VOSviewer, Science of Science (Sci2) and Gephi to conduct the bibliometric and network analysis.\\n\\n\\nFindings\\nThe results from keyword co-occurrence and co-citation analysis helps in identifying thematic areas. The findings highlight that there exist five major themes in knowledge management research for small businesses. The dynamic co-citation analysis helps in tracing the evolution of these clusters and suggests future themes, research directions and methodological advances in the theme. PageRank analysis helps in identifying the top articles published on high-impact journals in the theme.\\n\\n\\nResearch limitations/implications\\nThe study helps researchers by summarising existing literature and identifying key thematic areas. It also assists policymakers by recommending actions to improve knowledge management practises in small businesses to gain a competitive advantage. The paper suffers from the limitations of bibliometric analysis. The sample is collected from a single data source and a single type (journal articles) and the statistical accuracy of the analysis depends on the quality of the sample.\\n\\n\\nOriginality/value\\nThe study’s originality lies in using fit-for-purpose software in clustering the research and suggesting actions. To the best of the authors’ knowledge, this study is one of its kind in applying bibliometrics in studying and covering several aspects of knowledge management in small businesses with a combination of software.\\n\",\"PeriodicalId\":47867,\"journal\":{\"name\":\"European Business Review\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2023-01-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Business Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/ebr-10-2022-0200\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Business Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ebr-10-2022-0200","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 4

摘要

目的本文旨在绘制小企业知识管理研究的地图,并提出加强管理实践的未来行动建议。知识管理实践促进了小企业的发展。它们允许机构内部的创新发展,提高客户满意度,减少员工缺勤和流失。设计/方法/方法本研究采用文献计量协议检索科学网(WoS)数据库中发表的686篇文章。选择WoS数据库是为了确保在研究中只分析质量和同行评审的出版物。然后,它确定了主要贡献和现有的主题领域,并提出了通过小企业促进经济增长的未来研究和政策行动。本研究采用VOSviewer、Science(Sci2)和Gephi进行文献计量学和网络分析。关键词共现和共引分析的结果有助于识别主题领域。研究结果强调,小企业知识管理研究存在五大主题。动态共引分析有助于追踪这些聚类的演变,并提出该主题的未来主题、研究方向和方法学进展。PageRank分析有助于识别在该主题的高影响力期刊上发表的热门文章。研究局限性/含义该研究通过总结现有文献和确定关键主题领域来帮助研究人员。它还通过建议改善小企业知识管理实践的行动来帮助决策者获得竞争优势。本文受到文献计量分析的局限。样本是从单一数据源和单一类型(期刊文章)收集的,分析的统计准确性取决于样本的质量。独创性/价值该研究的独创性在于使用适合目的的软件对研究进行聚类并提出行动建议。据作者所知,这项研究是应用文献计量学研究小企业知识管理的几个方面并结合软件的同类研究之一。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trends in knowledge management research in small businesses
Purpose This paper aims to map the knowledge management research in small businesses and suggest future actions to strengthen managerial practices. Knowledge management practices foster the growth of small businesses. They allow innovation to grow within the institutions, enhance customer satisfaction and reduce employee absenteeism and attrition. Design/methodology/approach The study adopts a bibliometric protocol to retrieve the 686 articles published in the Web of Science (WoS) database. The WoS database is selected to ensure only quality and peer-reviewed publications are analysed in the study. It then identifies the top contributions, and existing thematic areas, and suggests future research and policy actions for boosting economic growth through small business. The study uses VOSviewer, Science of Science (Sci2) and Gephi to conduct the bibliometric and network analysis. Findings The results from keyword co-occurrence and co-citation analysis helps in identifying thematic areas. The findings highlight that there exist five major themes in knowledge management research for small businesses. The dynamic co-citation analysis helps in tracing the evolution of these clusters and suggests future themes, research directions and methodological advances in the theme. PageRank analysis helps in identifying the top articles published on high-impact journals in the theme. Research limitations/implications The study helps researchers by summarising existing literature and identifying key thematic areas. It also assists policymakers by recommending actions to improve knowledge management practises in small businesses to gain a competitive advantage. The paper suffers from the limitations of bibliometric analysis. The sample is collected from a single data source and a single type (journal articles) and the statistical accuracy of the analysis depends on the quality of the sample. Originality/value The study’s originality lies in using fit-for-purpose software in clustering the research and suggesting actions. To the best of the authors’ knowledge, this study is one of its kind in applying bibliometrics in studying and covering several aspects of knowledge management in small businesses with a combination of software.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
8.30
自引率
4.80%
发文量
34
期刊介绍: Articles should cover the key business disciplines - management, leadership, marketing, logistics, strategy, quality management, entrepreneurship, business ethics, international business, operations management, manufacturing, accounting and finance - specifically relating to experiences and reflections of interest to business and academia worldwide.
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信