91 research outputs found
Open innovation, value creation and value capture : an introduction
To be successful in open innovation, firms need to craft an effective strategy for both
value creation and value capture. However, these two aspects are difficult to combine,
and there are important tensions that deserve closer examination. The aim of this special section is to offer original perspectives on key conceptual and empirical research
questions related to how open innovation can help organizations to create and capture
value, the extent to which there might be a tension between value creation and value
capture in open innovation strategies, and how this tension can be effectively dealt
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The strategic use of patents and its implications for enterprise and competition policies
This report was commissioned as a study into the strategic use of patents. In the course of its case investigations and legislative reviews the European Commission became aware of changes in the use of intellectual property, in particular the use of patents. It was noted that firmsâ uses of intellectual property are becoming increasingly strategic. This raised concerns about the implications of firmsâ patenting behaviour for enterprise and competition policy. The following report contains a comprehensive review of patenting behaviour, the extent to which patenting is becoming more strategic and the implications this has for competition and enterprise policies
Candidate screening for the recruitment of critical research and development workers - a report and preliminary results with evidence from experimental data from German high-tech firms
The report focuses on rĂ©sumĂ©-based screening strategies for the recruitment of highly qualified research and development (R&D) workers (critical R&D workers) in high-tech firms. We investigate which kinds of professional background, job-related experience, motivations, specific skills, and previous inventive activity make a candidate attractive for firms specializing in clean technology or mechanical elements. The report is based on a combination of survey and experimental data collected from 194 HR decision makers in German high-tech firms and from 89 technology experts in the clean technology and mechanical elements fields. A mixed logit model is used to analyse hiring preferences because this model allows us to deal with repeated choices. We find that HR decision makers prefer candidates with technology-specific patenting experience, an engineering background, analytical thinking skills, and a strong desire to develop path-breaking technologies. Furthermore, no one-size-fits-all candidate exists that is equally preferred in both technology fields. HR decision makers in mechanical element firms prefer specialists to generalists, whereas those in clean technology attach special importance to a candidateâs orientation towards environmental concerns and sustainability
Wages in high-tech start-ups - do academic spin-offs pay a wage premium?
Due to their origin from universities, academic spinâoffs operate at the forefront of the
technological development. Therefore, spinâoffs exhibit a skillâbiased labour demand, i.e. spinâoffs
have a high demand for employees with cutting edge knowledge and technical skills. In order to accommodate
this demand, spinâoffs may have to pay a relative wage premium compared to other
highâtech startâups. However, neither a comprehensive theoretical assessment nor the empirical
literature on wages in startâups unambiguously predicts the existence and the direction of wage differentials
between spinâoffs and nonâspinâoffs. This paper addresses this research gap and examines
empirically whether or not spinâoffs pay their employees a wage premium. Using a unique linked
employerâemployee data set of German highâtech startâups, we estimate Mincerâtype wage regressions
applying the HausmanâTaylor panel estimator. Our results show that spinâoffs do not pay a
wage premium in general. However, a notable exception from this general result is that spinâoffs that
commercialise new scientific results or methods provide higher wages to employees with linkages to
the university sector â either as university graduates or as student workers
The Open Innovation in Science research field: a collaborative conceptualisation approach
Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We link dispersed knowledge on Open Innovation, Open Science, and related concepts such as Responsible Research and Innovation by proposing a unifying Open Innovation in Science (OIS) Research Framework. This framework captures the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation. Moreover, it elucidates individual-, team-, organisation-, field-, and societyâlevel factors shaping OIS practices. To conceptualise the framework, we employed a collaborative approach involving 47 scholars from multiple disciplines, highlighting both tensions and commonalities between existing approaches. The OIS Research Framework thus serves as a basis for future research, informs policy discussions, and provides guidance to scientists and practitioners
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