CLUSTERING BASED BIBLIOMETRIC ANALYSIS OF THE BUSINESS PERFORMANCE CONCEPT

Anatol Melega, V. Grosu, A. Macovei, Daniel Botez
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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.
基于聚类的企业绩效概念文献计量学分析
作为一种旨在确定所执行工作的有效性和效率的风险评估工具,业务绩效作为一个整体,代表了财务信息使用者的主要关注点。随着时间的推移,出现了与业务性能分析相关的持续挑战。本研究的目的是识别和检验在主要主题为企业绩效的已发表文献计量分析中决定因素之间的相互依存关系。因此,为了达到这一目的,我们追求以下目标:1-对发表在Web of Sciences和Scopus数据库上的科学论文进行文献计量耦合分析,通过聚类方法解决业务绩效主题;O2 -识别已经到位的研究项目之间的相关性,突出研究人员尚未接触的研究项目,创造新的研究利基,影响应用于当前需求的绩效模型的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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