PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 6, 2024Scientific Papers of the University of Pardubice. Series D, Faculty of Economics and Administration4 citationsOpen Access

Knowledge Management in Small and Medium Enterprises: Literature Review and Research Agenda

View Full Paper
AVAlejandro Valencia-AríasOPOrfa Nidia Patiño-ToroMCManuel Humberto Vásquez Coronado

Key Points

Key points are not available for this paper at this time.

Abstract

Knowledge management is pivotal in analyzing organizational innovation, as it influences the capacity to achieve objectives and engage in corporate decision-making. Nevertheless, its application encounters constraints within small and medium-sized enterprises (SMEs) due to resource and knowledge barriers. Hence, scholarly literature must remain current to offer solutions. Consequently, the study aims to explore trends in knowledge management research within SMEs. To achieve this, a bibliometric analysis is conducted employing the Scopus database, adhering to PRISMA statement guidelines. Excel and VOSviewer software are employed for data analysis. This study's perspective delves into the thematic evolution over time, encompassing both areas of sustained development and emerging trends. The findings underscore significant trends that emphasize the pivotal importance of innovation as a driver of organizational performance and advancement. This emphasis is underpinned by the adoption of open innovation approaches, fostering knowledge transfer and exchange to nurture internal learning. Notably, the study highlights the concepts of knowledge absorption capacity and dynamic capability development as fundamental cornerstones for propelling intellectual capital growth and business model adaptation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Valencia-Arías et al. (2024) studied this question.

synapsesocial.com/papers/68e757a4b6db6435876cf2f4https://doi.org/10.46585/sp32011656
Ask AI
Helpful
Bookmark
Share
View Full Paper