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David M. Gordon advanced labour economics with his theory of labour market segmentation, in which jobs rather than the marginal productivity of individual workers were the unit of analysis. He advanced economic historiography and macroeconomics by conceptualising social structures of accumulation – a framework built on the foundation of his institutionalist training and enriched by his study of Marxist economics. By appropriating methods from other social science disciplines into econometrics, he augmented empirical analysis in economics. He was a founding member of the Union of Radical Political Economics and its journal, the Review of Radical Political Economics – that advanced and promoted heterodox, radical, and Marxist economists in the United States. His contributions to economics, to organised labour, and to the New School for Social Research, where I studied with him, were stunning.

Part 1 lays out some context about the New School Graduate Faculty where Gordon taught. Part 2 explores what historical forces, including his family, led to his expansive creativity. Part 3 summarises how he expanded labour economics to include the relations as well as the technology of production, linked his understanding of the production process to a historical materialist view of labour in the United States, then extended that to econometric analyses of the US macroeconomy. Part 4 presents a bibliometric analysis to provide some idea of the impact of his work. I end with some concluding remarks.

Purpose – This chapter explores the determinants of trust, a manifestation of the relational dimension of social capital, between interaction partners in multinational corporations at interpersonal and inter-unit levels of analysis.

Methodology – The study is based on two quantitative data sets from the Finnish subsidiaries of foreign MNCs, one at the individual level and another at the unit level (n= 265/102).

Findings – Our results indicate that the drivers of trust exhibit similar patterns across both levels of analysis, but are stronger at the interpersonal level. Trust was significantly and positively related to the length of the relationship between the two individuals or units, and to the frequency of the communication between them whereas it was found to be unrelated with cultural distance.

Limitations – The key limitations of the study were as follows. First, the samples at both levels were relatively small, a factor that may partly explain why some of the statistical relationships were relatively weak. Second, the study was carried out in one location only, and our findings need to be corroborated in other cultural settings. Third, we only examined the level of trust from one side of the relationship, as a dyadic analysis was not possible with the present data.

Practical implications – For practicing managers, the main message from our research is that communication frequency and the length of the relationship matter for the relational social capital that exists within MNCs – both at the interpersonal and unit levels.

This chapter outlines the potential market of methane (especially LNG) as vehicle fuel in Europe and China.

A comprehensive report on the existing framework in terms of market capacity, regulations, and incentives is presented. Moreover, the feasibility of using biogas as environmental friendly source gas is considered.

The transport sector represents a major element in the global balance of greenhouse gas (GHG) emissions. Natural gas is considered the alternative fuel that, in the short-medium term, can best substitute conventional fuels in order to reduce their environmental impact, because it is readily available at a competitive price, using technologies that are already in widespread use. It can be used as compressed gas (CNG) or in the liquid phase (LNG). The former is more suitable for light vehicles, while the latter for heavy-duty vehicles. Some barriers need to be overcome for the diffusion of this alternative fuel, especially concerning the supply problem. The incentive policy has been shown to cover a major influence in the feasibility evaluation.

This work shows the state of the art of natural gas as fuel, especially from biogas source, in Europe and China and assesses the incentive scheme necessary to make liquefied biomethane feasible on the basis of the existing scenario in Italy.

Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search. In this chapter, the impact of translating queries’ terms between lay and medico-scientific terminology, in users with different levels of health literacy and topic familiarity, is evaluated. Findings demonstrate that medico-scientific queries demand more from the users and are mostly aimed at health professionals. In addition, these queries retrieve documents that are less readable and less well understood by users. Despite this, medico-scientific queries are associated with higher precision in the top-10 retrieved documents results and tend slightly to generate knowledge with less incorrect contents, the researchers concluded that search engines should provide query suggestions with medico-scientific terminology, whenever the user is able to digest it, that is, in users above the lowest levels of health literacy and topic familiarity. On the other hand, retrieval systems should provide lay alternative queries in users with inadequate health literacy or in those unfamiliar with a topic. In fact, the quantity of incorrect contents in the knowledge that emerges from a medico-scientific session tends to decrease with topic familiarity and health literacy. In terms of topic familiarity, the opposite happens with Graded Average Precision. Moreover, users most familiar with a topic tend to have higher motivational relevance with medico-scientific queries than with lay queries. This work is the first to consider user context features while studying the impact of a query processing technique in several aspects of the retrieval process, including the medical accuracy of the acquired knowledge.