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Critics increasingly highlight the dark sides of the sharing economy resulting from the insufficient regulation of competition, labor, or taxes in its for-profit sector. In this chapter, the authors argue that regulatory solutions for the sharing economy hinge on the understanding of the ways in which the sharing economy is organized. Here, digitalization undermines established regulation through underlying organizational shifts pertaining to places, labor inputs and output responsibilities. Mapping out the field of actors that are or could be involved in regulating the sharing economy, the authors highlight a particular role played not only by digital platforms as market organizers, but also of a variety of other public and private actors such as standard setting organizations, social movements, trade unions, organized buyers and sellers, incumbents, or policy makers. The authors suggest that an understanding of sharing economy markets as fields can not only capture the highly organized nature of the sharing economy, but also serve to untangle the contestations and power dynamics unfolding among various actors engaged in different regulatory issues associated with the sharing economy. Seeing “Uberization” as a next development stage away from the modern corporation after global supply chains, the authors highlight regulatory challenges associated with the even more individualized and dispersed way in which sharing economy markets are organized and also discuss new opportunities for regulation provided by digital technology.

The purpose of this paper is to identify and characterize different work value patterns empirically. Furthermore, it is analyzed how these patterns are distributed in different countries and how they change in the course of time.

Latent class analysis as an advanced clustering procedure was applied. The empirical analysis is based on data from the International Social Survey Program from three time periods (1989, 1997 and 2005), covering five countries (USA, Great Britain, West Germany, Norway and Hungary).

The analysis reveals four distinct work value patterns among employees: “moderate demanders”, “high demanders”, “post modern demanders” and “income and security demanders.” The affiliation to these patterns depends on gender, generational membership, education, occupation and nationality. The historical analysis reveals considerable variety in cross-national developments.

The work value patterns identified have implications for recruitment, employee motivation and international HRM strategies. Management needs to be aware of work value patterns in the workforce in order to avoid mismatches and their negative consequences. If mismatch is unavoidable, the paper highlights the need to proactively manage mismatches between work value patterns and workplace situation.

The authors argue that different work values are not independent of each other. Instead, they seem to have systematic interrelations and exist in specific patterns. Accordingly different segments within the labor force can be characterized by specific combinations of work values. This is highly relevant because it could help to customize HR instruments and incentives.

European universities have changed dramatically over the last two to three decades. The two dominant frameworks to analyze these changes are “New Public Management” and the construction of “complete organizations.” Both of these approaches highlight isomorphic processes leading to increased homogenization within European universities. However, empirical evidence suggests that European universities are differentiating from each other at the same time as they are becoming more isomorphic. To explain the simultaneity of homogenization and differentiation among European universities, we use the concept of nested organizational fields. We distinguish between a global field, a European field, and several national, state, and regional fields. Homogenization and differentiation are then the result of similar or different field embeddedness of European universities. The advantage of this approach lies in explaining homogenization and differentiation of universities within individual countries on the one hand, as well as cross-national homogenization and differentiation of subgroups of universities on the other hand.

The purpose of this paper is to provide quantitative estimates on the impact of active labour market policy (ALMP) on youth unemployment in Europe based on a macroeconomic panel data set of youth unemployment, ALMP and education policy variables and further country-specific characteristics on labour market institutions and the broader demographic and macroeconomic environment for all EU-Member States.

The authors follow the design of an aggregate impact analysis, which aims to explain the impact of policy on macroeconomic variables like youth employment and unemployment (see Bellmann and Jackman, 1996). This follows the assumption that programmes, which are effective in terms of improving individual employment opportunities, are going to make a difference on the equilibrium of youth unemployment.

The findings show that both wage subsidies and job creation are reducing aggregate youth unemployment, which is in contrast to some of the surveys of microeconomic studies indicating that job creation schemes are not effective. This finding points towards the importance to assist young people making valuable work experience, which is a benefit from job creation, even if this experience is made outside regular employment and/or the commercial sector.

In terms of the variables to model public policy intervention in the youth labour market, only few indicators exist, which are consistently available for all EU-Member States, despite much more interest and research aiming to provide an exhaustive picture of the youth labour market in Europe. The only consistently available measures are spending on ALMP as a percentage of gross domestic product (in the different programmes) and participation stocks and entries by type of intervention.

The different effects found for the 15–19 year olds, who seem to benefit from wage subsidies, compared to the effect of job creations benefitting the 20–24 year olds, might relate to the different barriers for both groups to find employment. Job creation programmes seem to offer this group an alternative mechanism to gain valuable work experience outside the commercial sector, which could help form a narrative of positive labour market experience. In this way, job creation should be looked more positively at when further developing ALMP provision, especially for young people relatively more distant to engagement in regular employment.

Improving the situation of many millions of young Europeans failing to find gainful employment, and more generally suffering from deprivation and social exclusion, has been identified as a clear priority for policy both at the national level of EU-Member States and for EU-wide initiatives. With this study, the authors attempt to contribute to the debate about the effectiveness of policies which combat youth unemployment by estimating the quantitative relationship of ALMP and other institutional features and youth unemployment.

To research the relationship between youth unemployment and ALMP, the authors created a macroeconomic database with repeated observations for all EU-Member States for a time series (1998–2012). The authors include variables on country demographics and the state of the economy as well as variables describing the labour market regimes from Eurostat, i.e. the flexibility of the labour market (part-time work and fixed-term employment as a percentage of total employment) and the wage setting system (level and coordination of bargaining and government intervention in wage bargaining).

The financial crisis 2007‐2009 calls for a regulatory response. A crucial element of this task is the treatment of systemic risk. Basel III gains centre stage in this process. Thus, the purpose of this paper is to evaluate Basel III, examining its ability to reduce systemic risk.

The paper highlights the importance of reducing systemic risk to achieve the goal of overall financial stability. By first focusing on the theoretical foundations of systemic risk, this paper explores and analyzes the crucial aspects of this almost impalpable risk type. It further investigates the current regulation of systemic risk, clearly showing Basel II's inability to reduce it. Then, it evaluates the Basel Committee's efforts to address these weaknesses through Basel III by investigating its incentives and its ability to reduce obvious drawbacks of Basel II as well as systemic risk factors.

The findings show that there are still adjustments necessary. Although the development of Basel III is well advanced, providing some stabilizing incentives, there are still issues calling for closer consideration to counter all Basel II drawbacks and systemic risk factors adequately. These include: a risk‐weighted leverage ratio; a more thorough treatment of procyclicality; adjustments for the NSFR (Net Stable Funding ratio); and most importantly, the mandatory issue to internalize negative externalities from financial institutions, that is, the call for pricing systemic risk.

The paper not only examines the new Basel III framework, as a response to the Financial Crisis 2007‐2009, but also draws attention to specific areas which the Basel Committee and regulators need to focus on more thoroughly.

There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective.

This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufacturing (DFAM) theme (approximately 80 articles until June of 2017 and approximately 280–300 articles until February of 2019) through descriptive statistics, to corroborate and deepen the findings of other researchers.

Throughout this work, this paper found statistics indicating that the main areas studied are: multiple objective optimizations, execution of the design, general DFAM and DFAM for functional performance. Among the main conclusions: there is a lack of innovation in the products developed with the methodologies, there is a lack of exhaustivity in the methodologies, there are few efforts to include environmental aspects in the methodologies, many of the methods include economic and cost evaluation, but are not very explicit and broad (sustainability evaluation), it is necessary to consider a greater variety of functions, among other conclusions

The novelty in this study is the methodology. It is very objective, comprehensive and quantitative. The starting point is not the case studies nor the qualitative criteria, but the figures and quantities of methodologies. The main contribution of this review article is to guide future work on the subject from a methodological and convergent perspective and this article provides a broad database with articles containing information on many issues to make decisions: design methodology; optimization; processes, selection of parts and materials; cost and product management; mechanical, electrical and thermal properties; health and environmental impact, etc.

The purpose of this paper is twofold: first, to identify and analyse existing resource efficiency (RE) and resource effectiveness measures and indicators (REMIs); and second, to identify gaps and develop a new indicator of “operational resource effectiveness” (ORE_ft) suitable for manufacturing units.

Research methodology consists of three stages: gap identification, development and testing. Through review of academic literature, 40 REMIs are identified and analysed. A survey of manufacturers is carried out to validate the hypothesis and seek inputs on the development of the new indicator. The proposed indicator is tested by comparing ORE_ft index of two manufacturing units with each other, with resource intensity per unit (RIPU), waste intensity per unit (WIPU) and with four other REMIs.

Analysis of 40 REMIs clearly points towards the absence of a hypothesised REMI. In total, 78 per cent of manufacturers surveyed in north England substantiate the hypothesis. Inverse correlation established between the proposed ORE_ft indicator, RIPU, WIPU and other comparisons is likely to validate the output generated by the proposed indicator.

Testing of this indicator is limited to two dissimilar manufacturing units that shared data.

The proposed indicator is useful for comparing the operational resource effectiveness of individual factories over a period as well as with other factories. RIPU and WIPU captured in this indicator also represent operational RE that can be used to initiate improvement action.

Inclusion of both, the resource consumption and the waste generation along with discount/multiplying factors that capture the circularity aspects is likely to be the distinguishing feature of this indicator.