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The relevance of this research is determined by the fact that the creation of innovative goods and services involves a set of marketing activities to assess the market situation. Intellectual leadership becomes the basis of strategic foresight. Understanding the horizon of opportunities for an industrial enterprise reflects the trends in the evolutionary development of industry markets and their respective competencies. The formation of key competencies contributes to the elimination of marketing myopia. In this regard, the authors identified changes in the main trends in consumer demand. The research aims to build a client-centric business model in the B2B market. The empirical basis of this research is the statistical data “Indicators of innovative activity: 2022” and the works of S. Yu. Glazyev, N. Nonaka, H. Takeuchi, K. Freeman, and F. Jansen. Based on the method of logical-structural analysis, the authors reveal the essence of the content of the category “innovative development of industry,” give a rationale for the main directions of innovative transformations of the industry based on the implementation of a competency-based approach in management, and determine the patterns of innovative development of industry in the context of building technological sovereignty. The practical significance of this research lies in the fact that strategic business thinking will create a condition for the formation of new functionality (a new product concept), which requires the development of new key competencies and the implementation of a strategy for advanced development.

This chapter details a practice-based investigation of a 19th-century astronomical device known as ‘Janssen’s apparatus’. It questions traditional narratives of linear technological advancement and ‘sole inventor’ to reframe the historical artefact as a site which makes visible a network of technological knowledge interconnecting astronomy and visual culture. Approached from this perspective, the Janssen artefact is reframed as an ‘intersite of knowledge’, exploring how the various know-how contained within the device is located across disciplines rather than within a single field. Originally developed to calculate the Astronomical Unit during the 1874 Transit of Venus, Janssen’s apparatus failed in its endeavour as a measuring instrument, but its motion mechanism was successfully adapted into early cinema technologies. This chapter applies praxis through the development of a prototype artwork and the concept of ‘techne’ as speculative means of understanding how this mechanism was transferred from astronomy to the Western cultural realm. It proposes that the development of the apparatus was partially gleaned from moving image techniques already in use within 19th-century visual culture. The development of the prototype artwork is discussed in relation to the specific timing mechanism of the Janssen apparatus and how it establishes its own ‘intersite of knowledge’ relevant to its contemporary context. Finally, this chapter elaborates on how witnessing the Janssen mechanism in motion provided unique insight and how creating a dialogue between historical and contemporary apparatus facilitates a reconsideration of how galleries, libraries, archives, and museums [GLAM] and other host institutions that contain artefacts might share their hidden stories.

This paper presents the second-generation estimates for the Italian engineering industry in 1911, a year documented both by the customary demographic census, and the first industrial census. The first part of this paper uses the census data to estimate the industry’s value added, sector by sector; the second further disaggregates each sector by activity, and estimates the value added, employment, physical product, and metal consumption of each one. A third, concluding section dwells on the dependence of cross-section estimates on time-series evidence. Three appendices detail the specific algorithms that generate the present estimates; a fourth, a useful sample of firm-specific data.

As Czech export is widely considered the key to the economic development of Czechia, this chapter explores the relationship between microeconomic profitability among companies in selected TOP10 export industries and the macroeconomic development of the export itself. An investigation was carried out to compare the differences caused by the COVID-19 pandemic. In addition, the comparison is developed according to the size and concentration of ownership among exporting companies. Annual data are obtained from the Bureau van Dijk Orbis database to analyse profitability among 4,283 companies in 10 NACE industries from 2012 to 2021. We have obtained encouraging results, demonstrating that not only those less profitable companies affected export development. However, in general, our results emphasise the importance of those less profitable medium-sized companies for Czech export, within the manufacture of machinery and equipment, and the manufacture of motor vehicles in particular.

The extant literature on emerging market multinationals (EMNEs) suggest that they derive their advantages from factors such as economies of scale, and that they internationalise, in large measure, to access technology. However, support for this framework typically comes from analysis of static data, comparing EMNEs and OECD MNEs at a point in time. Little attention is paid to their development paths in a dynamic setting. We examine these propositions directly using an approach that enables us to decompose productivity growth of firms into its components, namely, changes in scale economies, technological progress and technical efficiency. We compare Chinese MNEs with their non-MNE domestic counterparts and developed country MNEs that have operations in China. We demonstrate that Chinese MNEs continue to derive much of their productivity growth from changes in scale economies, while developed country MNEs continue to have an advantage with respect to technical progress. Both these types of MNEs have a significant advantage over Chinese non-MNE domestic firms.

This chapter estimates heterogeneous productivity growth and spatial spillovers through industrial linkages in the United States and China from 1981 to 2010. The authors employ a spatial Durbin stochastic frontier model and estimates with a spatial weight matrix based on inter-country input–output linkages to describe the spatial interdependencies in technology. The authors estimate productivity growth and spillovers at the industry level using the World KLEMS database. The spillovers of factor inputs and productivity growth are decomposed into domestic and international effects. Most of the spillover effects are found to be significant and the spillovers of productivity growth offered and received provide detailed information reflecting interdependence of the industries in the global value chain (GVC). The authors use this model to evaluate the impact of a US–Sino decoupling of trade links based on simulations of four scenarios of the reductions in bilateral intermediate trade. Their estimation results and their simulations are as mentioned based on date that ends in 2010, as this is the only KLEMS data available for these countries at this level of industrial disaggregation. As the GVC linkages between the United States and China have expanded since the end of their sample period their results can be viewed as informative in their own right for this period as well as possible lower bounds on the extent of the spillovers generated by an expanding GVC.

Weak regional commercial and productive integration and monetary dependence on the economic poles are evidence of the consolidation of Latin America's peripheral position in the world economy. This research analyzes different monetary initiatives launched individually or collectively by countries in the region to alleviate this position, such as the petro, the SUCRE, or El Salvador's bet on the legal acceptance of bitcoin as a payment instrument. After identifying some of their limitations, we propose some basis for monetary coordination with which to advance in the dynamization of productivity and trade complementarity of the countries of the region.

Several official institutions (NBER, OECD, CEPR, and others) provide business cycle chronologies with lags ranging from three months to several years. In this paper, we propose a Markov-switching dynamic factor model that allows for a more timely estimation of turning points. We apply one-step and two-step estimation approaches to French data and compare their performance. One-step maximum likelihood estimation is confined to relatively small data sets, whereas two-step approach that uses principal components can accommodate much bigger information sets. We find that both methods give qualitatively similar results and agree with the OECD dating of recessions on a sample of monthly data covering the period 1993–2014. The two-step method is more precise in determining the beginnings and ends of recessions as given by the OECD. Both methods indicate additional downturns in the French economy that were too short to enter the OECD chronology.