Measures for Ph.D. Evaluation: the Recruitment Process

Recently the quality of Higher Education (HE) system and its evaluation have been key issues of the political and scientific debate on education policies all over Europe. In the wide landscape that involves the entire HE system we draw attention on the third level of its organization, i.e. the Ph.D. In particular, this paper discusses the necessity of monitoring the recruitment process of Ph.D. system because it represents a fundamental aspect of the Ph.D. system as a whole. We introduce a set of concepts related to the recruitment process and then we make them computable with synthetic indicators. The study provides an empirical analysis based on doctoral schools of four academic years at the University of Siena. Proposed indicators are finally used for detecting weakness and strength of each Ph.D. school.Ph.D. schools, Ph.D.s. recruitment, diversity, external attractiveness, polarization

The evaluation of citation distributions.

This paper reviews a number of recent contributions that demonstrate that a blend of welfare economics and statistical analysis is useful in the evaluation of the citations received by scientific papers in the periodical literature. The paper begins by clarifying the role of citation analysis in the evaluation of research. Next, a summary of results about the citation distributions’ basic features at different aggregation levels is offered. These results indicate that citation distributions share the same broad shape, are highly skewed, and are often crowned by a power law. In light of this evidence, a novel methodology for the evaluation of research units is illustrated by comparing the high- and low-citation impact achieved by the U.S., the European Union, and the rest of the world in 22 scientific fields. However, contrary to recent claims, it is shown that mean normalization at the sub-field level does not lead to a universal distribution. Nevertheless, among other topics subject to ongoing research, it appears that this lack of universality does not preclude sensible normalization procedures to compare the citation impact of articles in different scientific fields.

Internet-driven customer centric : an exploratory analysis

Firm’s are becoming everyday more focus on customer orientation, leading to the need use of new techniques or combine use of existent ones. Both Customer Relationship Management and Knowledge Management are increasingly relevant in the corporate agendas as well as been broadly studied by academic researchers and with the development of the digital economy it’s necessary to have a larger understanding of their role in e-business performance. Thus, our aims are to determine whether the implementation of virtual CRM and KM is linked to e-business performance and to identify the nature of the relationship existing in the combine use of these tools. Thus, this paper establishes a new model of the practices and results of the both tools which has been tested in European companies. For that purpose, we used a structural equation modelling analysis. The results show that both virtual CRM and KM have a positive impact on the maximization of e-business performance and that their combine use has also a positive impact on e-business performance. As limitations of the study we consider the need for more research into this field and the inclusion of news elements such as technological readiness and management support. This paper contributes to the research on this topic with new evidence in a broad sample.info:eu-repo/semantics/publishedVersio

Disentangling the Effects of New Venture Team Functional Heterogeneity on New Venture Performance

Previous research on entrepreneurial teams has failed to settle the controversy over whether team heterogeneity helps or hinders new venture performance. Reconciling this inconsistency, this paper suggests a new conceptual approach to disentangle differential effects of team heterogeneity by modeling two separate heterogeneity dimensions, namely knowledge scope and knowledge disparity. Analyzing unique data on functional experiences of the members of 337 start-up teams, we find support for our contention of team heterogeneity as a two-dimensional concept. Results suggest that knowledge disparity negatively relates to both start-ups' entrepreneurial and innovative performance. In contrast, we find knowledge scope to positively affect entrepreneurial performance, while it shows an inverse U-shaped relationship to innovative start-up performance.Entrepreneurial teams, New venture performance, Team heterogeneity, Team diversity