CLUSTERING BASED BIBLIOMETRIC ANALYSIS OF THE BUSINESS PERFORMANCE CONCEPT

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.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 5 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.