Mergers and acquisitions in the european union frame

In the first step, the research analyzes the different European waves of mergers and acquisitions and the restructuring market characteristics. It is followed by a study of such corporate restructuring methods as divestitures, spin-offs, split-ups, split-offs, employee stock ownership plans (ESOPs), and equity carveouts, paying special attention to corporate mergers and acquisitions, the different types and their diversity of targets. The European situation regarding mergers and acquisitions, their different characteristics, and the way to do them are studied in the tables.     

Organizational Socialization and Psychological Contract: the Vulnerability of Temporary Newcomers. A Case Study from an Italian <Emphasis Type="Italic">Call Center</Emphasis>

This study aims to analyze the link between the construction of an effective psychological contract with the organization and the success of the socialization process. To this purpose 241 employees of a Call Center organization have been contacted. A questionnaire composed by measures of Organizational Socialization (Haueter et al. Journal of Vocational Behavior, 63, 20–39, 2003), Psychological Contract (Rousseau 1995), Job Satisfaction (Wanous et al. Journal of Applied Psychology, 82, 247–252, 1997) and Organizational Committment (Allen and Meyer 1990) was administered. Results have underlined that organizational socialization may influence the development of the psychological contract thus determining job satisfaction and organizational commitment. This research has been developed in an interdisciplinary perspective, taking into account the peculiarity of the Italian legal framework. In this regard, the analysis has been focused on how the E.U. flexicurity strategy has been implemented in Italy, according to the recent reform of labour market regulation (2012–13) and on the specific regulations introduced for call centres.     

Research Opportunities for Neural Networks: The Case for Credit

This article identifies research opportunities in the use of artificial neural networks in credit scoring and related business intelligence situations, particularly as they have been emerging in the global economy. In the literature review, particular attention is paid to commercial lending credit risk assessment and consumer credit scoring. Investors and auditors need models that can predict whether a customer will stay viable. Lenders must manage their credit risk to maximize profits and cash flow, while minimizing losses. As the global economic recession continues, investors are tightening their investment belts and need models that help them make better investment decisions, while lenders must strengthen lending practices and better identify both good and bad credit risks. Artificial neural networks may help firms improve their credit model development, and thereby their credit decisions and profitability. Such technology may also help improve development in emerging economies. Copyright © 2016 John Wiley & Sons, Ltd.     

Innovation and Competitiveness: Trends in Unit Prices in Global Trade

This paper seeks to build on theory, to develop new methods for understanding the nature and basis of sectoral and national competitive advantage, and to do so with a temporal perspective. Neo-Schumpeterian and evolutionary economics perspectives (which place innovation at the forefront of accumulation) highlight the importance of economic rents, barriers to entry and core competencies. There is no one measure that adequately reflects these barriers to entry, and much of the research has been concerned to generate proxies, each of which is in itself partial, but which together provide a comprehensive picture. During the late 1970s, preliminary work was undertaken on the unit price of UK trade as an indicator of relative technological competence. However, this approach has largely been neglected since then, receiving only sporadic attention in US literature, and at high levels of product aggregation. This paper utilizes this approach to try and reflect the dynamic process of shifting competitive advantage in the global economy. Its distinctive feature is the level of detail—six-digit trade classifications—and its breadth of coverage, being applied to seven sets of sectoral classifications involving more than 12 000 product groups. The data set relates to EU imports of manufactured goods between 1988 and 2001. It concludes that there is a strong correlation between unit price performance and innovation intensity, and provides data to show that low-income economies tend to be located in low-innovation niches in sectoral groupings. This has important implications for the conventional wisdom that high incomes will result from a specialization in manufactures.     

PREFIGURATIVE INFRASTRUCTURE: Mobility,Citizenship, and the Agency of Objects

This article examines the unsanctioned installation of infrastructure for walking and cycling as a site of possibility. In contrast to accounts of everyday urbanism that see in these kinds of interventions possibilities for a politics in which the state subsides, I find instead an effort to reclaim the state for more progressive purposes. I focus on groups calling themselves transformation agencies and departments of transformation to argue that DIY infrastructure is deployed on city streets not as an effort to subvert or supplant city authorities, but instead as prefigurative performances of city–citizen relationships ‘as if’ they were otherwise. Exploiting the plurality and contingency of the state and its legal forms, objects are installed to show how quickly things could be different, and sometimes they succeed in prompting significant shifts. Through guerrilla paint and pop-up posts, transformation agencies work prefiguratively to imagine and enact forms of citizenship that are not centred on automobility.     

A disaggregated analysis of EU imports: the implications for the study of patterns of trade and technology

This paper examines trends in the unit prices of manufacturedimports into the European Union (EU) in the period 1988–2002.This is undertaken at a high level of disaggregation, and itis this decomposition which we believe has important implicationsboth for a range of bodies of economic analysis and for policy.The analyses undertaken in this paper confirm that disaggregationmatters in helping to identify unit-price trends. We have alsoshown that unit-price trends vary with the type of economy exportinginto Europe and the type of product being exported, and thatthese results are robust at high levels of disaggregation.     

Estimating the impact of trade specialization and trade policy on poverty in developing countries

This paper investigates the impact of trade specialization on poverty. The empirical findings show that in developing countries manufacturing exports contribute to poverty reduction. But agricultural exports have a more significant effect on poverty in low-income countries. The analysis also confirms that trade specialization reduces poverty but under specific trade specialization patterns and policy conditions.     

Selection of Socially Responsible Portfolios Using Hedonic Prices

This paper presents a novel framework for selecting socially responsible investment (SRI) portfolios. The Hedonic Price Method (HPM) is applied to obtain an evaluation of SRI criteria that is integrated into a multi-objective mathematical programming model. The HPM breaks away from the traditional view that goods are the direct object of utility; on the contrary, it assumes that utility is derived from the properties or characteristics of the goods themselves. As far as the investment decision is concerned, we assume that socially responsible investmentmutual funds (SRI funds) constitute heterogeneous goods. Our approach allows us to obtain a portfolio, the financial performance of which is similar to that which the investor would have reached if he or she had not taken into account social, ethical, and environmental considerations when making his or her investment decisions. This is achieved by designing a two-stage multi-objective mathematical programming procedure. In the first stage, we achieve the maximum level of financial satisfaction that the investor can receive. In the second stage, the portfolio with the best financial–social behavior is built. For the purpose of this second stage, the first stage portfolio is used as a benchmark for the financial performance of a socially responsible portfolio. To apply this methodology, we use portfolios composed of socially responsible and conventional mutual funds domiciled in Spain.     

Energy Consumption and Carbon Emission Based Industrial Productivity in China: A Sustainable Development Analysis

The paper investigates the determinants of productivity growth in China. It also analyses the sustainability of the country's industrial growth by estimating sectoral productivity, accounting for energy usage and emission since the market‐oriented reforms launched in the late 1970s. The empirical analysis indicates that productivity is the most significant driver of growth. The substantial productivity improvement of China's industry is mainly attributable to high‐tech light industrial sectors. Heavy industry lags behind in terms of productivity and overall technical change.