Understanding STI and SDG with artificial intelligence: A review and research agenda for entrepreneurial action

Ana Reyes-Menendez, Jorge Clemente-Mediavilla and Nuria Villagra

Technological Forecasting and Social Change, 2023, vol. 196, issue C

Abstract: In 2015 the United Nations (UN) presented the sustainable development goals (SDGs). Since then, numerous investigations have addressed this topic. Although there is much research on the SDGs and the relationship between the SDGs and technological advances, there is little research regarding the implementation of technology for sustainable entrepreneurship, how these techniques are developed across industries, and how they can improve the global sustainability of other companies to support the 2030 sustainable agenda. Therefore, this study aims to develop a research agenda for entrepreneurial action, identifying key aspects related to science, technology, and innovation (STI) and the SDGs, and exploring how both concepts are interconnected. To this end, we conducted a systematic literature review (SLR) of 25,739 papers with machine learning and artificial intelligence techniques. Using the methodological approach of corpus linguistics (CL) and Topic Modeling with Latent Dirichlet Allocation (LDA) algorithm, we extracted keywords, topics, and frequency. The results revealed that (i) there is a research agenda for STI and the SDGs containing 28 topics grouped in three categories: “SDG,” “production business models,” and “partnership and sustainable management models”; (ii) salient topics are “responsible consumption,” “industrial action,” and “sustainable industries”; and (iii) innovation intersects all the topics.

Keywords: STI; SDG; Entrepreneurial action; Artificial intelligence (AI); Research agenda (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523004705
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523004705

DOI: 10.1016/j.techfore.2023.122785

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().