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1 – 3 of 3Marlon Fernandes Rodrigues Alves, Simone Vasconcelos Ribeiro Galina and Silvio Dobelin
The purpose of this paper is to examine what are both the main theoretical basis and the recent perspectives within the organizational innovation literature.
Abstract
Purpose
The purpose of this paper is to examine what are both the main theoretical basis and the recent perspectives within the organizational innovation literature.
Design/methodology/approach
The authors have conducted a bibliometric analysis reviewing the research on organizational innovation from 460 articles published in the period from 2007 to 2016 and indexed in the Web of Science through co-citation and bibliographical coupling analyses.
Findings
The clusters analysis results show that the main theoretical foundations are learning and evolution; implementation of innovation; and leadership, creativity and learning. Regarding recent perspectives, the clusters indicate studies on core concepts, knowledge and capability, learning for resource development and human resources for innovation.
Originality/value
This study organizes the knowledge basis for future research on organizational innovation, and, unlike most literature reviews, this study provides the current trends on the topic and presents a comprehensive research agenda.
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Keywords
Astrid Heidemann Lassen and Bjørge Timenes Laugen
The purpose of this paper is to test the effect of internal and external collaboration on the degree of newness (incremental/radical) in innovation projects. This adds to the…
Abstract
Purpose
The purpose of this paper is to test the effect of internal and external collaboration on the degree of newness (incremental/radical) in innovation projects. This adds to the understanding of the particular patterns of open innovation (OI) and what characterizes the innovation emerging through this approach.
Design/methodology/approach
Tests are performed on the effect of internal and external collaboration on the degree of newness (incremental/radical) in innovation projects. This adds to the understanding of the particular patterns of OI and what characterizes the innovation emerging through this approach. The empirical analysis is based on a data set including responses from 512 Danish engineers.
Findings
The results show that external collaboration has significantly different effects on the degree of newness depending on the type of external partners involved, and they also show that radical innovation output is positively related to involving the R&D department (internal) and universities (external involvement) and negatively related to involving suppliers.
Originality/value
The results provide a more detailed understanding of how different OI patterns affect the development of incremental vs radical innovation in existing organizations. In particular, three findings add new insights into how OI affects innovation to reach the highest degree of newness: high importance of collaboration with external partners with distinct interests and skills; low reliance on existing customers and suppliers for the development of radical innovation; and narrow and focused internal involvement rather than broad internal involvement.
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Keywords
This paper analyzes the productivity effects of structural capital such as research and development (R&D) and organizational capital (OC). Innovation work also produces…
Abstract
Purpose
This paper analyzes the productivity effects of structural capital such as research and development (R&D) and organizational capital (OC). Innovation work also produces innovation-labor-biased technical change (IBTC) and knowledge spillovers. Analyses use full register-based dataset of Finnish firms for the period 1994–2014 from Statistics Finland.
Design/methodology/approach
Intangibles are derived from the labor costs of innovation-type occupations using linked employer-employee data. The approach is consistent with National Accounting and offered as one method in OECD (2010) and applied in statistical offices, e.g. in measuring software. The EU 7th framework Innodrive project 2008–2011 extended this method to cover R&D and OC.
Findings
Methodology is implementable at firm-level and offers way to link personnel reporting to intangible assets. The OC-IBTC as well as total resources allocated to OC are relevant for productivity growth. The R&D stock is relatively higher but R&D-IBTC is smaller than OC-IBTC. Public policy should, besides technology policy, account for OC and OC-IBTC and related knowledge spillovers in the industries that are most important among the SMEs (low market-share-firms).
Research limitations/implications
The data are based on remote access to Statistics Finland; the data cannot be disseminated.
Originality/value
Intangible assets are measured from innovation work that encompasses not only R&D work. IBTC is proxied in production function estimation by relative compensations on IA work. The non-competing nature of IAs is captured by IA knowledge spillovers. The sample sizes are much higher than in earlier studies on horizontal knowledge spillovers (such as for SMEs,) thus bringing additional generality to the results.
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