Author:
Rodenburg Kathleen,De Silva Vinuli,Christensen Hughes Julia
Abstract
An alternative research assessment (RA) tool was constructed to assess the relatedness of published business school research to the United Nations’ 17 Sustainable Development Goals (SDGs). The RA tool was created using Leximancer™, an on-line cloud-based text analytic software tool, that identified core themes within the SDG framework. Eight (8) core themes were found to define the ‘spirit of the SDGs’: Sustainable Development, Governance, Vulnerable Populations, Water, Gross Domestic Product (GDP), Food Security, Restoration, and Public Health. These themes were compared to the core themes found in the content of 4576 academic articles published in 2019 in journals that comprise the Financial Times (FT) 50 list. The articles’ relatedness to the SDG themes were assessed. Overall, 10.6% of the themes found in the FT50 journal articles had an explicit relationship to the SDG themes while 24.5% were implied. Themes generated from machine learning (ML), augmented by researcher judgement (to account for synonyms, similar concepts, and discipline specific examples), improved the robustness of the relationships found between the SDG framework and the published articles. Although there are compelling reasons for business schools to focus research on advancing the SDGs, this study and others highlight that there is much opportunity for improvement. Recommendations are made to better align academic research with the SDGs, influencing how business school faculty and their schools prioritize research and its role in the world.
Subject
Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development
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