公共关系中的企业社会责任研究:主题模型分析与未来之路的混合回顾

IF 4.2 2区 哲学 Q2 BUSINESS
Fatih Çelik, Mehmet Ali Koseoglu, Blend Ibrahim
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引用次数: 0

摘要

尽管企业社会责任(CSR)在企业公共关系(PR)战略中的重要性日益增加,但在公关学科中,对现有企业社会责任文献的全面审查仍然缺乏。本研究的目的是通过一个以概念-学科为中心的混合回顾来探讨企业社会责任概念与公共关系学科之间的关系。我们采用基于主题建模的潜狄利克雷分配(LDA)作为一种新的智能结构分析方法。本综述的数据集包括1975年至2022年间发表的246篇同行评议的企业社会责任文章。基于LDA的结果,我们确定并讨论了五个主题:政治社会责任流、面向社交媒体的社会责任、面向消费者的社会责任、社会责任报告和面向企业的社会责任。此外,还提出了对学术和实际应用的启示,以及对未来研究的建议。本研究对企业社会责任相关公关研究的文献和实践做出了开创性的贡献,为该领域的知识结构和趋势提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Research on Corporate Social Responsibility in Public Relations: A Hybrid Review Through Topic Modeling Analysis and Way Forward

Research on Corporate Social Responsibility in Public Relations: A Hybrid Review Through Topic Modeling Analysis and Way Forward

Despite the growing significance of corporate social responsibility (CSR) in corporate public relations (PR) strategies, there has been a paucity of comprehensive reviews of the extant CSR literature within the PR discipline. The aim of this study is to investigate the relationship between the concept of CSR and the discipline of PR through a hybrid concept-discipline-focused review. We employed latent dirichlet allocation (LDA) via topic modeling as a novel approach for intellectual structure analysis. The dataset for this review comprised 246 peer-reviewed articles on CSR published between 1975 and 2022. Based on the LDA results, five topics were identified and discussed: the political CSR stream, social media-oriented CSR, consumer-oriented CSR, CSR reporting, and business-oriented CSR. Additionally, implications for both academic and practical applications were drawn, along with recommendations for future research. This study is pioneering in its contribution to the literature and practice of CSR-related PR research, offering insights into the intellectual structures and trends within this field.

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来源期刊
CiteScore
5.20
自引率
19.00%
发文量
86
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