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  • Social businesses, despite having a huge potential to generate substantial and sustainable value, are often structurally and financially fragile. Technological interventions, such as social media analytics, big data, Internet of Things, and blockchain can help social businesses by leveraging the practices towards financial and operational sustainability. This study is the first of its kind in that it analyses existing scholarly works on social businesses using bibliometric analysis. In so doing, this paper presents an in-depth statistical analysis of the literature on technological interventions in sustainable social business, showcasing the development of the scholarship, major themes, and possible future research trajectories. The SCOPUS database is used to identify a large section of articles. The study shows that most of the work in social business has been done by scholars based in developed countries, with limited contributions emanating from developing countries. The study proposes a framework for the use of technology in sustainable social businesses with focus areas of research such as social innovation, digital technology, information systems, and decision making for sustainability. The results show that digital technologies are increasingly being accepted as tools for the sustainability and scalability of social businesses. The paper offers useful recommendations for future research in relevant fields.

  • According to different authors, science and technology based companies could be considered as a crucial chain in transforming research and development investments into economic value. This could impact company’s business performance and at the same time the development of country’s economy. Moreover, according to today’s empirical research, extremely fast innovation and technology development all over the world has a different effect on separate industries. There is a lot of academic literature where science and technology based company environment assessment issues are described, however, there is a lack of assessment methods and/or ratios/indicators, which show how the company is science, innovation and technology based and even how to identify such kind of company. This article is divided into structural parts, reflecting: R&D environment analysis based on the case of Lithuania; academic literature overview regarding science and technology based company’s environment analysis; definition of S&T based company economic/financial assessment ratios. After the analysis, a list of ratios/indicators were presented, which empower to identify and/or asses such kind of company. Data availability was the core factor in these indicators creation processes. Research methods used are based on systematic literature analysis, mathematical statistics methods, logical comparative and generalization analysis.

  • According to different authors, science and technology based companies could be considered as a crucial chain in transforming research and development investments into economic value. This could impact company’s business performance and at the same time the development of country’s economy. Moreover, according to today’s empirical research, extremely fast innovation and technology development all over the world has a different effect on separate industries. There is a lot of academic literature where science and technology based company environment assessment issues are described, however, there is a lack of assessment methods and/or ratios/indicators, which show how the company is science, innovation and technology based and even how to identify such kind of company. This article is divided into structural parts, reflecting: R&D environment analysis based on the case of Lithuania; academic literature overview regarding science and technology based company’s environment analysis; definition of S&T based company economic/financial assessment ratios. After the analysis, a list of ratios/indicators were presented, which empower to identify and/or asses such kind of company. Data availability was the core factor in these indicators creation processes. Research methods used are based on systematic literature analysis, mathematical statistics methods, logical comparative and generalization analysis.

Dernière mise à jour depuis la base de données : 18/07/2025 05:00 (EDT)