CLUSTERING BASED BIBLIOMETRIC ANALYSIS OF THE BUSINESS PERFORMANCE CONCEPT
DOI:
https://doi.org/10.29358/sceco.v0i35.506Keywords:
performance, research field, bibliometrics, bibliographic coupling analysis.Abstract
Business performance, as a whole, represents the main concern for financial information users, as a risk assessment tool meant to establish the effectiveness and efficiency of the work performed. Over time, there was an ongoing challenge related to business performance analysis. The purpose of this research is to identify and examine the interdependency relations between the determining factors in the bibliometric analysis of the published literature, when the main topic is business performance. Therefore, to reach this purpose we pursued the following objectives: O1- bibliometric coupling analysis of the scientific papers published on the Web of Sciences and Scopus databases, which addressed the business performance topic by means of clustering; O2 – identifying the correlations between research projects already in place and highlighting research projects not yet approached by researchers, creating new research niches, impacting the development of the performance model applied to current demands.Downloads
Download data is not yet available.
Downloads
Published
31.07.2022
Issue
Section
Articles
License
Authors who publish with this journal agree to the following terms:- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
How to Cite
Melega, A., Grosu, V., Macovei, A. G., & Botez, D. (2022). CLUSTERING BASED BIBLIOMETRIC ANALYSIS OF THE BUSINESS PERFORMANCE CONCEPT. Studies and Scientific Researches. Economics Edition, 35. https://doi.org/10.29358/sceco.v0i35.506