Evaluation of Corporate Social Responsibility Research in Family Businesses with Two Approaches of Scientometric and Meta-Analysis.

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Purpose

Studies of social responsibility in family businesses have a great variety of dimensions and components, and the use of approach, analysis, tools, and techniques of data analysis leads to the perception of data. It is different from this phenomenon. The contradictory results of some variables affecting the social responsibility of family businesses such as environmental investments, social interests, shareholders' interests, and industry type are found in various research and the results of the research conducted and uniform It is not, and sometimes there are contradictory results in research. In fact, the effect of each of these factors cannot be found. In such circumstances, it is challenging to determine whether the differences between the results of studies are due to chance or random or due to the theoretical differences that exist in the properties of the studies, in which case it can be transformed into this. The question was answered. Accordingly, in order to better understand the studies in this field, the present study is to evaluate the status of corporate social responsibility publications in family businesses with two integrated approaches to science and transcendental.

Methodology

This article is a type of meta-analysis that has studied the process of developing research in the field of "social responsibility of companies in the family business". The statistical population of the research is all articles and scientific documents indexed on the Web of Science on the subject of "Social Responsibility of Companies in Family Business" from 1997 to March 2021 with 262 scientific degrees. These data with both scientific and meta-analysis approaches have been analyzed. In the process of analysis, since recovered backgrounds had to be validated in terms of validity, the validity of the measurement tool, and sampling method, articles selection in the analysis process were based on indicators such as methodology requirements (hypothesis, research method, statistical population, sample size and the method of sampling, the means of measurement, validity, and validity of the tool, statistical assumptions, statistical analysis method, and the correct statistical computing), the study of the subject of the social responsibility of companies and family companies which were examined quantitatively.  To determine the statistical population in the process of analysis with abstracts, 162, 72, and finally, 52 articles were separated; eventually, with a more detailed study, 28 articles formed the present research community in the process of analysis.

Findings

Since 2016, articles have grown dramatically and peaked in 2020. more than 50 % of the articles have been published in the three journals in this field, and more than 70 % of the articles are related to developed countries. The variety of different variables in the field of social responsibility of companies in family businesses was not confirmed and data analysis indicated that the involvement of environmental index modulations, industry type, family business style, and resources had been used in previous research.

Conclusion

The ascending course of research in the field of social responsibility of the company indicates the importance of the problem in the well-being of economic growth, and the improvement of the environment, and the living environment which requires more attention and international cooperation with other countries. Given the heterogeneity of articles, it can be concluded that research related to this area, has not gone through its accumulation process. Although developed countries are seriously seeking research on social responsibility and affecting many international relations, family businesses entering the global arena are more concerned with social responsibility indicators.Keywords: Corporate Social Responsibility, Meta-analysis, Family Business, Effect Size, Scientific databases, scientometrics.

Language:
Persian
Published:
Scientometric research journal, Volume:8 Issue: 16, 2022
Pages:
243 to 264
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