PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
May 8, 2026Baltic Journal of Economic Studies0 citationsOpen Access

Economic Security of Enterprises: A Bibliometric Analysis

MKMaryna KravchenkoССС. М. СавченкоNational Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”FNFedir NemyrovskyiNational Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Key Points

  • This study aims to analyze the economic security of business entities through bibliometric techniques.
  • Conducted a systematic bibliometric analysis of 87 publications from 2004 to 2025.
  • Employed VOSviewer and Bibliometrix (Biblioshiny) to analyze co-citation networks and keyword co-occurrence.
  • Identified thematic clusters and geographical patterns in academic contributions.
  • Revealed a multidimensional research landscape focusing on information security, risk management, and technological innovation.
  • Highlighted a shift towards resilience-oriented security frameworks over traditional approaches.
  • Identified gaps in research on crisis resilience and the integration of emerging digital technologies.

Abstract

This study examines the economic security of business entities by conducting a systematic bibliometric analysis of academic research indexed in the Scopus database. Due to digital transformation, growing technological dependence, market volatility and heightened exposure to economic and information-related risks, economic security at the enterprise level has become an increasingly important research topic. In this context, economic security is understood to encompass not only financial stability, but also broader organisational capabilities such as information protection, risk management, resilience, and innovation-driven adaptation. The study focuses on the body of academic research devoted to the economic security of business entities. This article aims to identify the intellectual structure of this research field and its dominant thematic areas and geographical patterns of scholarly contributions. It also seeks to determine underexplored research directions relevant to contemporary enterprise security challenges. To this end, a bibliometric research design was employed. The analysis is based on a final dataset of 87 publications from 2004 to 2025. Bibliometric techniques were employed via VOSviewer and the Bibliometrix (Biblioshiny) package to analyse co-citation networks, keyword co-occurrence and thematic clusters. The results reveal a multidimensional research landscape centred on information security, risk management, financial stability and technological innovation. The findings suggest an increasing focus on resilience-oriented and integrative security frameworks, reflecting a shift away from narrowly defined protective approaches towards more comprehensive organisational models of economic security. The analysis also reveals a geographically diverse research landscape, with notable scholarly contributions emerging from Eastern Europe, East Asia, and developed economies. These patterns reflect region-specific economic, institutional and security challenges that influence research priorities and methodological approaches. At the same time, however, the bibliometric evidence highlights persistent gaps relating to crisis resilience, the governance of information security, and the integration of emerging digital technologies at enterprise level. Based on the results obtained, the study concludes that research on the economic security of business entities is still fragmented and interdisciplinary, and requires stronger integration of strategic and technological perspectives. By providing a structured overview of existing literature, the study clarifies enterprise-level economic security research and suggests directions for future academic enquiry and managerial practice.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kravchenko et al. (2026) studied this question.

synapsesocial.com/papers/69fd7cd4bfa21ec5bbf05c20https://doi.org/10.30525/2256-0742/2026-12-2-299-312
Ask AI
Helpful
Bookmark
Share
View Full Paper