Institute for Competitiveness and Communication
Dauerhafte URI für die Sammlunghttps://irf.fhnw.ch/handle/11654/62
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Ergebnisse nach Hochschule und Institut
Publikation Supporting policy learning by means of an evaluation synthesis: findings from a study on Swiss innovation policies(15.11.2013) Barjak, FranzDer vorliegende Beitrag fasst eine Sekundäranalyse von 16 Analysen der Innovationspolitik des Bundes aus dem Zeitraum 1997-2012 zusammen. Eine Meta-Evaluation zeigte, dass die Praxis der Evaluation von Innovationspolitik in der Schweiz hinsichtlich Methoden und Ergebnissen vergleichbar ist mit der Praxis in anderen europäischen Ländern. Allerdings gibt es auch Verbesserungsmöglichkeiten im Hinblick auf 1) die Beschreibung von Evaluationskonzeption und Methoden, 2) die Auswahl von Kontrollgruppen, 3) die Kombination quantitativer und qualitativer Methoden und 4) die Berücksichtigung aller Stakeholder einer innovationspolitischen Intervention. Eine Evaluationssynthese lieferte Erkenntnisse zu Konsistenz, Effizienz, Zielerreichung und Wirkungen der Innovationsförderung.06 - PräsentationPublikation Regional technology demand and the transfer strategies and performance of universities and public research institutes(03.06.2014) Barjak, Franz; Es-Sadki, Nordine06 - PräsentationPublikation Regional technology demand and the transfer strategies and performance of universities and public research institutes(08.11.2013) Barjak, Franz; Es-Sadki, Nordine06 - PräsentationPublikation Business model innovation as a composite type of innovation(25.06.2015) Barjak, Franz; Perrett, Pieter JanThe paper conceptualises business model innovations (BMI) as a fundamental change of the mechanisms and arrangements of how a company creates, delivers and captures value. It translates this definition into a composite innovation indicator that consists of a combination of radical product and radical process innovations, or radical product innovations combined with marketing and organisational innovations. Deepening our understanding of the construct by means of an exploratory analysis of 60 BMI case studies, we find that revenue model innovations have not been captured sufficiently in the CIS datasets. At the same time, they constitute an essential element and characterize a significant number of BMI cases. We suggest that innovation surveys should introduce questions on revenue model innovations and add a few further changes to better capture business model innovations in the future.06 - PräsentationPublikation Paving the way for a new composite indicator on business model innovations(18.06.2014) Barjak, Franz; Bill, Marc; Perrett, Pieter JanThe paper conceptualises business model innovations (BMI) as a fundamental change of the mechanisms and arrangements of how a company creates, delivers and captures value. It translates this definition into a composite innovation indicator that consists of a combination of radical product and radical process innovations, or radical product innovations combined with marketing and organisational innovations. Implementing this definition with empirical data from the Community Innovation Surveys (CIS) in Europe, we find that roughly one out of 20 SMEs has introduced a BMI in the three-year period preceding the surveys. Deepening our understanding of the construct by means of an exploratory analysis of 60 BMI case studies, we find that revenue model innovations have not been captured sufficiently in the CIS datasets. At the same time, they constitute an essential element and characterize a significant number of BMI cases. We suggest that innovation surveys should introduce questions on revenue model innovations and add a few further changes to better capture business model innovations in the future.06 - PräsentationPublikation Knowledge and Technology Transfer Practices in Europe: First Results from a Study on 39 Countries(22.09.2012) Barjak, Franz; Arundel, Anthony; Hüsing, Tobias06 - PräsentationPublikation Research productivity in the internet era(Springer, 2006) Barjak, FranzThe present study investigated the relationship between the use of different internet applications and research productivity, controlling for other influences on the latter. The control variables included dummies for country, discipline, gender and type of organization of the respondent; as well as variables for age, recognition, the degree of society-related and career-related motivation for research, and the size of the collaboration network. Simple variance analyses and more complex negative binomial hurdle models point to a positive relationship between internet use (for personal communication, information retrieval and information dissemination) and research productivity. However, the results should be interpreted with caution as it was not possible to test the role of the internet against other pre-internet tools which fulfil the same functions. Thus instance it may not be the use of e-mail per se, but the degree of communicating with colleagues that makes a productive scientist.01A - Beitrag in wissenschaftlicher ZeitschriftPublikation Paving the way for a new composite indicator on business model innovations(2014) Barjak, Franz; Bill, Marc; Perrett, Pieter Jan05 - Forschungs- oder ArbeitsberichtPublikation Schaffung innovativer Wirtschaftsräume und wettbewerbsfähiger Unternehmen - Sind Cluster die Lösung?. FHNW Series A: Discussion Paper 2006-01(2006) Barjak, Franz; Abplanalp, Peter; Bienz, Phillip05 - Forschungs- oder ArbeitsberichtPublikation The Future of e-Research Infrastructures(25.06.2009) Schroeder, Ralph; Meyer, Eric; Eccles, Kathryn; Kertcher, Zack; Barjak, Franz; Hüsing, Tobias; Robinson, SimonIn this paper, we present selected results of a systematic study of different types of e-Research infrastructures. The paper is based on ongoing research to compare a range of e-Infrastructures of broad diversity focusing on: geographical diversity, representing efforts from around the globe; disciplinary diversity, including the natural sciences, social sciences and humanities; organizational diversity, for example, multi-institutional or federated; diverse levels of maturity, from those in the planning stage to those with a well-established user base; and diverse types of target user communities such as specialized niche, discipline-wide, or generic infrastructures. In presenting six initial cases, we discuss some general features that distinguish between different types of infrastructures across different fields of research. Previous analyses of e-Infrastructures have focused on the parallels between these infrastructures and the major infrastructures in society that support national populations. What our cases highlight instead is that e-Infrastructures consist of multiple types of overlapping and intersecting socio-technical configurations that serve quite diverse needs and groups of users. Indeed, the very term ‘infrastructures’ may be misleading insofar as it connotes support of whole communities of researchers on a large scale, which is currently still premature. The paper derives implications of this heterogeneity for the future outlook on e-Infrastructures.06 - Präsentation
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