130,488 research outputs found
The initiation and evolution of interfirm knowledge transfer in R&D relationships.
No full textKnowledge; Knowledge transfer; R&D;
Organizing Open Innovation: Combining Value Creation and Value Appropriation
No full textThrough a symposium titled “Balancing value appropriation and organizational costs”, scholars from different filed of the Academy will discuss about Open Innovation, a pivotal term that has gained attention among researchers and practitioners alike. Key starting point for this discussion is that opening up organizational boundaries for innovation purposes triggers organizational costs and hence requires new balancing acts to appropriate value and improve performance.
The symposium will identify four research areas that are both central to the Open Innovation debate and relevant for strategy, innovation management and organization studies: (1) balancing specialization and integration (2) complementarity between inflows and outflows of knowledge (3) development of new business models into innovation networks (4) selective strategic openness
Building Appropriation Advantage:AN INTRODUCTION TO THE SPECIAL ISSUE ON INTELLECTUAL PROPERTY MANAGEMENT
No full textTechnological activities and their impact on the financial performance of the firm: Exploitation and exploration within and between firms
No full textThis paper analyzes the consequences for financial performance of technology strategies categorized along two dimensions: (1) explorative versus exploitative and (2) solitary versus collaborative. The financial performance implications of firms’ positioning along these two dimensions has important managerial implications, but has received only limited attention in prior studies. Drawing on organizational learning theory and technology alliances literature, a set of hypotheses on the performance implications of firms’ technology strategies are derived. These hypotheses are tested empirically on a panel dataset (1996-2003) of 168 R&D-intensive firms based in Japan, the US and Europe and situated in five different industries (chemicals, pharmaceuticals, ICT, electronics, non-electrical machinery). Patent data are used to construct indicators of explorative versus exploitative technological activities (activities in new or existing technology domains) and collaborative versus solitary technological activities (joint versus single patent ownership). The financial performance of firms is measured via a market value indicator: Tobin’s Q index.Innovation, Tobin’s q, R&D collaboration, exploration & exploitation
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Technological activities and their impact on the financial performance of the firm: Exploitation and exploration within and between firms.
No full textThis article analyzes the financial performance consequences of technology strategies categorized along two dimensions: (1) explorative versus exploitative and (2) solitary versus collaborative. The financial performance implications of firms’ positioning along these two dimensions has important managerial implications, but has received only limited attention in prior studies. Drawing on organizational learning theory and technology alliances literature, a set of hypotheses on the performance implications of firms’ technology strategies are derived. These hypotheses are tested empirically on a panel dataset (1996-2003) of 168 R&D-intensive firms based in Japan, the US and Europe and situated in five different industries (chemicals, pharmaceuticals, ICT, electronics, non-electrical machinery). Patent data are used to construct indicators of explorative versus exploitative technological activities (activities in new or existing technology domains) and collaborative versus solitary technological activities (joint versus single patent ownership). The financial performance of firms is measured via a market value indicator: Tobin’s Q index. The analyses confirm the existence of an inverted U-shape relationship between the share of explorative technological activities and financial performance. In addition, it is observed that most sample firms do not reach the optimal level of explorative technological activities. These findings point to the relevance of creating a balance between exploitation and exploration in the context of technological activities. Moreover, they suggest that, for the majority of R&D intensive firms, reaching such a balance between exploration and exploitation implies investing additional efforts and resources in exploring new knowledge domains. The analyses also show that firms, engaging more intensively in collaboration, perform relatively stronger in explorative activities. At the same time, a negative relationship between the share of collaborative technological activities and a firm’s market value is observed. Contrary to our expectations, it is collaboration in explorative technological activities, rather than collaboration in exploitative technological activities, that leads to a reduction in firm value. These findings question the relevance of open business models for technological activities. In particular, they suggest that the potential advantages of collaboration for (explorative) technological activities (i.e. access to complementary knowledge from other partners, sharing of technological costs and risks) might not compensate for the potential disadvantages, such as the incurred increase in coordination costs and the need to share innovation rewards across innovation partners.
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Serendipitous value co-creation in an acquisition: the General Electric – Nuovo Pignone Case.
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