Search results

Digitalization can drive the sustainable development of society and industry. However, a lot of the opportunities are tightly related to the risks. This chapter investigates how academic performance in terms of scientific publications at the intersection of digitization, sustainable development, and industry brings added value to the research field. The analysis focuses on the academic papers that research the relationship between digitalization, sustainable development, and industry, analyzing comparatively two primary academic databases, Scopus and Web of Science (WoS). To do that, two samples of scientific publications were investigated. The first sample comprised 703 documents indexed in WoS, while the second was formed by 566 documents indexed in Scopus. The analyzed period for WoS is 1996–2022, while for Scopus is 2000–2022. The empirical results indicated that the research field's primary issues include digitalization, digital transformation, the construction industry, sustainability, COVID-19, and innovation for both WoS and Scopus. The most relevant authors on this cross-cutting subject in the WoS database are Beier G., Aigbavboa C., and Kumar M. In contrast, in the Scopus database, we found Beier G., Ghobakhloo M., and Iranmanesh M. At the same time, the most typical journals are the International Journal of Production Research, Sustainability, and Computers in Industry for WoS and Sustainability, Journal of Cleaner Production, and Procedia CIRP for Scopus.

Digital technology and SDGs have gained increasing interest from the research community. This chapter aims to explore the field through a holistic review of 188 publications from 2017 to 2022. For the systematic review of 188 articles, a three-step methodology comprising of PRISMA guidelines was performed, bibliometric analysis and text analysis using VOS-Viewer and Sentiment Analysis using RStudio had been undertaken. Bibliographic coupling revealed the following clusters Digital Space (Over all SDG), Localising SDGs, Financial Systems and Growth (SDG 8), Sustainable Supply Chain (SDG 9), Education (SDG 4), Energy Management (SDG 7), Smart Cities (SDG 11 and 13), Gender, Skills, and Responsibility (SDG 5 and 12), Food Management (SDG 1, 2 and 3), Business Innovation (SDG 8 and 9) and ICT (SDG 9). Next, co-occurrence analysis highlighted the following clusters Circular Economy (SDG 8), Higher Education System (SDG 4), Digital health (SDG 3), Industry 4.0 (SDG 9) and Supply Chain Management (SDG 9). Next, text analysis traced the most relevant areas of work within the theme. Finally, sentiment analysis revealed positive sentiments of the field. The research concluded that only a few SDGs had found major focus while the others don't have any solid ground in the literature. This chapter presents a knowledge structure by mapping the most relevant SDGs in the context of digital technology and sets directions for future research.

This chapter presents a critical analysis of the wealth current practices of multinational firms as wealth predators; and relevant references from the theory of multinational corporations and globalization from a Marxist perspective. The Marxist approach has also contributed to a theory of the self-expansion of capital (internationalization of the circuits of capital) on a global scale, within an analysis of the differentiation and of inequality.

Polish agriculture is one of the main sectors of the national economy that, under the influence of political transformations and European integration, is subject to measures stimulating its development. The instruments of the Common Agricultural Policy (CAP) have been an important supporting stimulus.

This chapter aims to evaluate the significance of the common agricultural policy to the growth and development of agriculture and to structural transformations therein triggered primarily by the influx of additional CAP funds.

The agricultural sector was examined together with its selected characteristics in the context of CAP instruments' impact after 2004. Data included the streams of funding for Polish agriculture and indicators illustrating changes in structural features, economic performance and productivity of production factors. The indicators included changes in the number, structure and potential of farmsteads, changes in the level of employment in agriculture, this sector's share in total gross value added, profitability of farmsteads, capital expenditure level and changes in labour and land profitability compared with changes in the level of employment and agricultural production intensity. They were calculated based on data from EUROSTAT, Statistics Poland and Farm Accountancy Data Network (FADN).

The outcomes confirm that common agricultural policy has contributed to create development processes in Polish agriculture. Changes in the sector affected structural characteristics, production factors productivity and the income of agricultural producers. Since Poland joined the European Union (EU), the percentage of agricultural workers declined by 8.4 p.p. and the number of farms decreased by nearly 30%. These changes were accompanied by a nearly twofold increase in agricultural labour productivity, 50% increase in land productivity and the profitability of land increased by 43%.

In this chapter, we apply APPNIE to two case studies, BIOerg srl and LiMiX srl, which are innovative start-ups born in the Marche Region in Italy. The choice to analyse two companies in the same region is based on the fact that the surrounding ecosystem of innovation and entrepreneurship has a strong impact on the birth and subsequent development of innovative start-ups. Using these two case studies, this chapter shows the differences between SWOT and APPNIE analyses.