Background and purpose: The transformation to Industry 4.0 increases the number of robots installed within industries, which brings great shifts in industrial ecosystems. For this reason, our research goal was to analyze the key performance indicators to investigate the economic and social sustainability of the changes in production.Methodology: The combination of official (World Bank, U.S. Bureau of Labor Statistics) and publicly available (Federal Reserve Economic Data, Industrial Federation of Robotics) data was used for statistical data processing, including comparison, correlation, cross-correlation and vector autoregression analysis, to present the past developments and also to predict future trends within the U.S. manufacturing sector.Results: In contrast to robust industry robotization observed in the 2008–2018 period, the share of manufacturing output and employment declined. Nonetheless, the vector autoregression model forecast shows, that the U.S. manufacturing sector has arrived at a turning point, after which robotization can increase employment and labor productivity of workers, while also stimulating further growth of their education levels.Conclusion: The transition to Industry 4.0 has a major impact on increasing demands for new knowledge and skills for increased productivity. Accordingly, forecasted growths of analyzed manufacturing indicators suggest that negative impacts of robotization in the recent past were only temporary, due to the entrance to the Industry 4.0 era. Nonetheless, additional policies to support sustainable industry development are required.

PurposeThe purpose of this paper is to analyze the impact of the recent (2008‐) economic crisis on information communication technology (ICT) spending. The empirical findings are discussed within a broader theoretical framework of technological trends/diffusion and economic cycles.Design/methodology/approachFirst, the paper introduces the innovation diffusion theory and theories of economic cycles. Next, it presents the analyses of the data from official statistics, international agencies and research companies. Finally, it summarizes the empirical findings within theoretical contexts.FindingsIn general, crises always reduce spending and therefore also ICT spending. However, focusing on the recent crisis, it affected the ICT market selectively and also much less than other sectors. In addition, the empirical findings indicate that after decades of fast ICT expansion (1971‐2000) we are now in the period of slower sectoral growth, which is in line with theories of super cycles, although, the authors also propose alternative explanations.Research limitations/implicationsThe impact of the economic crisis on the ICT market strongly depends on countries' economic situation and development stage. Nonetheless some ICT segments that allow cost savings, greater productivity and efficiency, have been strengthened during the latest (2008‐) economic crisis, which also pinpoints the directions for further transformation of ICT.Practical implicationsDespite usually reduced budgets during the crisis, managers should put increased attention to new/alternative ICT solutions (e.g. virtualization, outsourcing, cloud computing) and lowered prices of ICT products/services to increase competitiveness. The crisis can be thus an opportunity to re‐examine the contribution of ICT to productivity, workflow efficiency and introduce new methods for better exploitation of ICT capital.Social implicationsThe aim of this paper is to contribute to the understanding about the transformation of ICT in economic crises. It also demonstrates that recent crises caused another microwave within the last super cycle.Originality/valueThe paper provides empirical insight into the link between economic situation and ICT spending in past 15 years, with special attention to the changes observed during the latest (2008‐) crisis. The analysis is also put into a broader theoretical framework, where it proposes alternative explanations supported by empirical evidences.

No abstract

No abstract

No abstract