Developing indicators to measure Technology Institutes` performance

Technology institutes (TIs) are non-profit innovation and technology organisations aimed to encourage competitiveness of firms. They are a key organisation in the Spanish National Innovation System because of their size and closeness to the productive sector. Despite this, there is a lack of studies trying to measure their performance and its determinants. This work sheds some light on this. We study the influence of operative, financial, organisational, relational and general variables on three measures of results: selffinance, impact and added value. Our conclusions show the relevance of this approach and are confirmed by grouping TIs according to their service supply characteristics.Publicad

Co-author weighting in bibliometric methodology and subfields of a scientific discipline

Collaborative work and co-authorship are fundamental to the advancement of modern science. However, it is not clear how collaboration should be measured in achievement-based metrics. Co-author weighted credit introduces distortions into the bibliometric description of a discipline. It puts great weight on collaboration - not based on the results of collaboration - but purely because of the existence of collaborations. In terms of publication and citation impact, it artificially favors some subdisciplines. In order to understand how credit is given in a co-author weighted system (like the NRC's method), we introduced credit spaces. We include a study of the discipline of physics to illustrate the method. Indicators are introduced to measure the proportion of a credit space awarded to a subfield or a set of authors.Comment: 11 pages, 1 figure, 4 table

Health promotion research: dilemmas and challenges

OBJECTIVE—To analyse dilemmas and challenges in health promotion research, and to generate ideas for future development.
METHOD—The analysis is based on authors' experiences in working in the field of research and action in health promotion and on experiences of others as found in literature.
RESULTS—The assumptions underlying scientific research as based in the biomedical design are difficult to meet in community-based health promotion research. Dilemmas are identified in relation to the possibility of defining the independent and dependent variables beforehand and the intermingling of these variables (the intervention and outcome dilemma), the difficulty in quantifying the desired outcomes (the number dilemma), and the problem of diffusion of the programme to the control group (the control group dilemma).
CONCLUSION—Research in health promotion has specific reasons to reconsider the approach towards research, the selection of outcome variables, and research techniques. Strategies and methods to make activities and their outcomes clear are discussed and criteria to judge confidence and applicability of research findings are presented.


Keywords: health promotion research; research dilemmas; research challenge

PRIMUS/Informed Cities: Making research work for local sustainability

The final report of a three year European Commission FP7 project