A Bibliometric analysis of Green Innovation Research

Huma Sikandar, Umar Haiyat Abdul Kohar
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引用次数: 1

Abstract

Green innovation has grown in organisational importance as a result of its contribution to meeting environmental needs while also allowing businesses to differentiate themselves from their competitors and hence gain sustainable competitive advantages. Given its importance it feels important to conduct a bibliometric analysis to forecast the growth of green innovation research publications. This paper explores all the disciplines in which green innovation research is published. The Scopus database is used to find published literature in the field, and bibliometric analysis was used to show trends in scholarly and professional publications This paper examines the status and evolution of 1094 published articles on green innovation research from 1995 to 2021. This study presents the most productive countries, top authors, top journals, and most cited articles as a result of this research. Through co-authorship analysis we identified the countries involved in collaborative research and through co-occurrence of keyword we identified the hot topics in green innovation research and also the emerging topic whose relationship with green innovation is yet to be explored. The limitations and future directions of research has also been provided at the end. This document is intended to serve as a guide for researchers who are new to the field of green innovation and want to improve their knowledge of the subject by identifying the best journals, authors, and papers from which to build their theoretical framework or construct future research models
绿色创新研究的文献计量分析
绿色创新在组织中越来越重要,因为它既能满足环境需求,又能让企业从竞争对手中脱颖而出,从而获得可持续的竞争优势。鉴于其重要性,有必要进行文献计量分析来预测绿色创新研究出版物的增长。本文探讨了绿色创新研究发表的所有学科。利用Scopus数据库查找该领域的已发表文献,并利用文献计量分析方法显示学术和专业出版物的趋势。本文对1995 - 2021年发表的1094篇绿色创新研究的现状和演变进行了研究。这项研究展示了生产力最高的国家、顶级作者、顶级期刊和被引用最多的文章。通过合作作者分析,我们确定了参与合作研究的国家;通过关键词的共现,我们确定了绿色创新研究的热点话题以及与绿色创新关系尚待探讨的新兴话题。最后指出了研究的局限性和未来的研究方向。本文旨在为刚进入绿色创新领域并希望通过确定最佳期刊、作者和论文来构建理论框架或构建未来研究模型的研究人员提供指导,以提高他们对该主题的了解
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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