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How to be an open innovator when you are an SME? An institutional work analysis

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  • FDC Busines School
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Open innovation (OI) is a strategy that firms adopt to innovate by incorporating knowledge from both outside and inside their firms, exploiting their knowledge, and exploring the knowledge of their environment. OI is relevant for small-and medium-sized enterprises (SMEs) because it allows them to adapt and thrive in increasingly turbulent and dynamic competitive environments, generate competitive advantages, and increase their performances. The method adopted for measuring OI is heterogeneous because of the breadth of the concept and application of various OI metrics and practices. This study analyzes the various methods used for measuring OI in the SME context through a systematic review of the empirical literature. To meet this objective, a two-step methodological approach was implemented: first, a systematic literature review, and second, a bibliometric analysis. Finally, 125 empirical articles from 2009 to 2020 were selected from the Web of Science and Scopus databases. The results show that the empirical literature uses a wide variety of methods to measure OI activities. While this adds to the richness of the concept, it makes theory development difficult. Based on the systematic literature review conducted, it is clear that there are different perspectives pertaining to the measurement of OI: (1) external knowledge sources, internal knowledge, and collaboration; (2) technology exploitation and technology exploration; (3) inbound, outbound, and couple; and (4) openness. This study has important implications to researchers and SME managers, will help them develop a better understanding of how OI activities can be measured.
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Collaboration between corporations and sart-ups can dramatically accelerate respective actor’s innovation process. Previous research on this phenomenon has mostly considered the large company’s point of view on sart-up collaboration. There is therefore a research gap related to sart-ups’ objectives, processes and outcomes from corporate collaboration, as well as to the relation between these three categories of variables. The purpose of this study is to identify the critical factors for sart-ups in collaborating with corporations. The paper synthesizes and discusses the findings from 12 qualitative case studies of corporate-sart-up collaboration in Sweden, including different collaboration models and different industrial sectors. It contributes to fill the current knowledge gap in research focused on critical factors for sart-ups in collaborating with large companies for innovation. The study identified three important dimensions: antecedents, outcomes, and collaboration characteristics. For each dimension the main variables and relations among variables are identified. This framework can be useful primarily for sart-ups and could guide them in their decisions related to partnering with large firms. The framework is, however, also useful for other stakeholders involved in corporate-sart-up collaboration initiatives, such as large firms, intermediaries like external accelerators, and the government. This is one of the first studies that explicitly addresses the phenomenon of collaboration between sart-ups and large companies from a sart-up’s point of view. The study is not limited to a specific collaboration model such as for example ‘accelerators’, but includes different models used by large firms. Further, it identifies the factors that could guide sart-ups in analyzing opportunities offered by partnering with larger companies, and therefore could be important parts of their collaboration strategy.
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To assess the effects of a firm's network of relations on innovation, this paper elaborates a theoretical framework that relates three aspects of a firm's ego network—direct ties, indirect ties, and structural holes (disconnections between a firm's partners)—to the firm's subsequent innovation output. It posits that direct and indirect ties both have a positive impact on innovation but that the impact of indirect ties is moderated by the number of a firm's direct ties. Structural holes are proposed to have both positive and negative influences on subsequent innovation. Results from a longitudinal study of firms in the international chemicals industry indicate support for the predictions on direct and indirect ties, but in the interfirm collaboration network, increasing structural holes has a negative effect on innovation. Among the implications for interorganizational network theory is that the optimal structure of interfirm networks depends on the objectives of the network members.
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Institutional openness is becoming increasingly popular in practice and academia: open innovation, open R&D and open business models. Our special issue builds on the concepts, underlying assumptions and implications discussed in two previous R&D Management special issues (2006, 2009). This overview indicates nine perspectives needed to develop an open innovation theory more fully. It also assesses some of the recent evidence that has come to light about open innovation, in theory and in practice.
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In this paper, we investigate the transactions-costs assumptions which are embedded in different understandings of industrial clustering. By carefully examining these assumptions we then proceed to investigate the extent to which industrial structure is related to questions of innovation. In order to do this we examine the case of the global semiconductor industry. After describing in detail the structure of the industry, we then employ a Geographical Information System in order to map the locations of the various plants and establishments which are part of three major multinational semiconductor producers. These unique mappings allow us to challenge some widely held views concerning the nature of the relationship between industrial structures, firm types and regional development.
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Institutional theory and structuration theory both contend that institutions and actions are inextricably linked and that institutionalization is best understood as a dynamic, ongoing process. Institutionalists, however, have pursued an empirical agenda that has largely ignored how institutions are created, altered, and reproduced, in part, because their models of institutionalization as a process are underdeveloped. Structuration theory, on the other hand, largely remains a process theory of such abstraction that it has generated few empirical studies. This paper discusses the similarities between the two theories, develops an argument for why a fusion of the two would enable institutional theory to significantly advance, develops a model of institutionalization as a structuration process, and proposes methodological guidelines for investigating the process empirically.
A framework for open innovation
  • Flynn
Flynn, M., Wang, C., 2012. A framework for open innovation. SAP Community Network.
Institutional Work: Actors and Agency in Institutional Studies of Organizations
  • T B Lawrence
  • R Suddaby
  • B Leca
Lawrence, T.B.Suddaby, R., Leca, B., (Eds.), (2009). Institutional Work: Actors and Agency in Institutional Studies of Organizations, Cambridge University Press. https://doi.org/10.1017/CBO9780511596605.