Anna Roberta Gagliardi and Gianpaolo Tomaselli
This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase…
Abstract
Purpose
This study explores how corporate social responsibility (CSR) and artificial intelligence (AI) can be combined in the healthcare industry during the post-COVID-19 recovery phase. The aim is to showcase how this fusion can help tackle healthcare inequalities, enhance accessibility and support long-term sustainability.
Design/methodology/approach
Adopting a viewpoint approach, the study leverages existing literature and case studies to analyze the intersection of CSR and AI. It investigates AI’s capabilities in predictive analytics, telemedicine and resource management within the framework of CSR principles.
Findings
Integrating AI and CSR can profoundly enhance healthcare delivery by ensuring equitable access, optimizing resource allocation and fostering trust through transparency and ethical standards. This synergy benefits public health and enhances the corporate image and long-term viability of healthcare organizations.
Research limitations/implications
The study is conceptual and relies on existing literature and case studies. Future research should empirically test the proposed models and frameworks in diverse healthcare settings to validate and refine these insights.
Practical implications
The insights from this study can be directly applied by healthcare organizations to develop policies and practices that integrate AI and CSR. This integration can promote ethical standards, enhance operational efficiency and, most importantly, improve patient outcomes.
Social implications
Integrating AI and CSR in the healthcare sector carries consequences. It plays a role in promoting fairness among patients, bridging gaps in healthcare services, and boosting trust and independence through the clear and responsible use of AI technologies. This highlights the groundbreaking impact of this research within the healthcare industry.
Originality/value
This paper offers a viewpoint perspective on the strategic alignment of AI and CSR, presenting a novel approach to creating resilient healthcare systems in the post-COVID-19 era. It provides healthcare managers and policymakers with valuable insights on leveraging AI within CSR frameworks to achieve sustainable healthcare solutions, thereby contributing significantly to the field.
Details
Keywords
Sandra C. Buttigieg, Gianpaolo Tomaselli, Vivienne Byers, Maria Cassar, Trond Tjerbo and Aldo Rosano
The aim of this paper was to explore the linkage between corporate social responsibility (CSR) and person-centered care (PCC). The scope of the review was, therefore, to identify…
Abstract
Purpose
The aim of this paper was to explore the linkage between corporate social responsibility (CSR) and person-centered care (PCC). The scope of the review was, therefore, to identify whether – as a result of such linkage – CSR may be a potential vehicle for delivering PCC within health-care organizations.
Design/methodology/approach
Data were retrieved by searching multiple keywords on PubMed, Medline and Scopus databases with inclusion/exclusion criteria based on years of publication from 2001 to 2018, language, no geographic restrictions, paper focus, research and document types. A total of 56 articles (N =56) were selected and reviewed. Thematic analysis was conducted to identify and compare the main features of PCC and CSR.
Findings
The findings revealed that while CSR and PCC are interrelated, CSR features are not being exploited in their entirety in formalizing PCC as part of the CSR strategy. In particular, the two salient CSR features explicitly referred to in conjunction with explicit PCC characteristics are quality of care and health communication. Furthermore, patients’ rights and dignity were the leading implicit CSR features mentioned in conjunction with both explicit and implicit PCC characteristics.
Research limitations/implications
Subjectivity of researchers, limited number of databases and publication types included are the main limitations of this research.
Originality/value
To the best of the authors’ knowledge, this is the first paper analyzing CSR and PCC in an interrelated way.