951 resultados para Open innovation
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Projet de recherche réalisé en 2014-2015 avec l'appui du Fonds de recherche du Québec – Société et culture.
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Projet de recherche réalisé en 2014-2015 avec l'appui du Fonds de recherche du Québec – Société et culture.
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As with all new ideas, the concept of Open Innovation requires extensive empirical investigation, testing and development. This paper analyzes Procter and Gamble's 'Connect and Develop' strategy as a case study of the major organizational and technological changes associated with open innovation. It argues that although some of the organizational changes accompanying open innovation are beginning to be described in the literature, more analysis is warranted into the ways technological changes have facilitated open innovation strategies, particularly related to new product development. Information and communications technologies enable the exchange of distributed sources of information in the open innovation process. The case study shows that furthermore a suite of new technologies for data mining, simulation, prototyping and visual representation, what we call 'innovation technology', help to support open innovation in Procter and Gamble. The paper concludes with a suggested research agenda for furthering understanding of the role played by and consequences of this technology.
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Recent studies have stressed the importance of ‘open innovation’ as a means of enhancing innovation performance. The essence of the open innovation model is to take advantage of external as well as internal knowledge sources in developing and commercialising innovation, so avoiding an excessively narrow internal focus in a key area of corporate activity. Although the external aspect of open innovation is often stressed, another key aspect involves maximising the flow of ideas and knowledge from different sources within the firm, for example through knowledge sharing via the use of cross-functional teams. A fully open innovation approach would therefore combine both aspects i.e. cross-functional teams with boundary-spanning knowledge linkages. This suggests that there should be complementarities between the use cross-functional teams with boundary-spanning knowledge linkages i.e. the returns to implementing open innovation in one innovation activity is should be greater if open innovation is already in place in another innovation activity. However, our findings – based on a large sample of UK and German manufacturing plants – do not support this view. Our results suggest that in practice the benefits envisaged in the open innovation model are not generally achievable by the majority of plants, and that instead the adoption of open innovation across the whole innovation process is likely to reduce innovation outputs. Our results provide some guidance on the type of activities where the adoption of a market-based governance structure such as open innovation may be most valuable. This is likely to be in innovation activities where search is deterministic, activities are separable, and where the required level of knowledge sharing is correspondingly moderate – in other words those activities which are more routinized. For this type of activity market-based governance mechanisms (i.e. open innovation) may well be more efficient than hierarchical governance structures. For other innovation activities where outcomes are more uncertain and unpredictable and the risks of knowledge exchange hazards are greater, quasi-market based governance structures such as open innovation are likely to be subject to rapidly diminishing returns in terms of innovation outputs.
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Recent scholarly discussion on open innovation put forward the notion that an organisation's ability to internalise external knowledge and learn from various sources in undertaking new product development is crucial to its competitive performance. Nevertheless, little attention has been paid to how growth-oriented small firms identify and exploit entrepreneurial opportunities (i.e. take entrepreneurial action) related to such development, in an open innovation context, from a social learning perspective. This chapter, based on an instrumental case-firm, demonstrates analytically how learning as entrepreneurial action takes place, drawing on situated learning theory. It is argued that such learning is dynamic in nature and is founded on specific organising principles that foster both inter- and intracommunal learning. © 2012, IGI Global.
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Automobile manufacture in the UK West Midlands peaked during the 1950s and early 1960s but, with overseas competition, declined thereafter. Successive policies, such as government supported mergers to form the British Motor Corporation in the 1950s, green-field development away from the region in the 1960s, nationalisation of the (then) British Leyland in the 1970s, Japanese FDI in the 1980s and the Rover-centric Accelerate Project in the 1990s have failed to halt the decline. Since early 2000, regional policy has been the responsibility of the Regional Development Agency, Advantage West Midlands. The RDA has moved away from traditional support based on the needs of big companies or ‘champions’ and adopted an approach centred on a mix of small and large businesses and high level research, and – arguably – an ‘open innovation’ model. Here, we examine these new policies and their potential to create an innovative and competitive regional environment.
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This paper explores the links between open innovation and the emergence of a ‘phoenix industry’ centred on the UK’s traditional automotive heartland, the West Midlands, which has developed a significant presence in automotive design and engineering, particularly among small and niche firms. Drawing on case study research, the paper investigates whether this can be considered as a phoenix industry, and to what extent open innovation has been important in the industry’s development. The paper considers relationships between firms and impacts in terms of changing economic and labour market conditions. The paper concludes by examining the role that public policy has played to date and might play in the future in supporting an emerging phoenix industry with open innovation features.
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Scholarship on open innovation examines the different shades of opening up the innovation process of firms, where the most important feature is sourcing in knowledge. In this paper I examine the implications of adapting open innovation frames to a field where it was not investigated before: performing arts (contemporary dance and theatre). I draw on case studies and demonstrate that open innovation strategies are viable for artistic production. Independent companies purposefully mining out external knowledge in production, and commercializing on the spillovers of their body of knowledge, put themselves on the shelf of firms adopting and adapting to open innovation.
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As an emerging innovation paradigm gaining momentum in recent years, the open innovation paradigm is calling for greater theoretical depth and more empirical research. This dissertation proposes that open innovation in the context of open source software sponsorship may be viewed as knowledge strategies of the firm. Hence, this dissertation examines the performance determinants of open innovation through the lens of knowledge-based perspectives. Using event study and regression methodologies, this dissertation found that these open source software sponsorship events can indeed boost the stock market performance of US public firms. In addition, both the knowledge capabilities of the firms and the knowledge profiles of the open source projects they sponsor matter for performance. In terms of firm knowledge capabilities, internet service firms perform better than other firms owing to their advantageous complementary capabilities. Also, strong knowledge exploitation capabilities of the firm are positively associated with performance. In terms of the knowledge profile of sponsored projects, platform projects perform better than component projects. Also, community-originated projects outperform firm-originated projects. Finally, based on these findings, this dissertation discussed the important theoretical implications for the strategic tradeoff between knowledge protection and sharing.
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This study discusses the importance of creating Open Innovation (OI) teams for optimizing costs of Research and Development (R&D), dividing risks and maximizing profits. The purpose of this study is to determine team characteristics beneficial for successful OI project, with the emphasis on the fact that such teams are formed of professionals belonging to different organizations, both private and state-owned, with different educational and professional backgrounds and personal qualities. This purpose is supported by three sub-objectives: to observe the phenomenon of OI and its implementation in emerging economies, particularly in Russia; to specify professional and personal competencies of OI team members essential for the successful collaboration; and to identify the role of the leader in OI teams. The theoretical part of this study consists of knowledge from academic literature related to OI, cross-functional and innovation teams and leadership in innovation. The practical part of the study is presented in the form of multiple case study, and the empirical research is based on six semistructured interviews collected in October 2014 from the CEOs, Innovation Managers and Technical Directors of innovation companies participating actively in OI projects. The findings of the study demonstrate that many of the necessary competencies are equal for innovation or cross-functional teams and OI teams, such as professionalism and communication skills. However, due to the specific nature of OI, additional personal characteristics were recognized as beneficial for OI teams, such as flexibility, empathy and success-orientation. The role of the leader is also considered as a critical success factor for OI teams, with the emphasis on flexibility and autonomy. The findings of the study contribute to understanding the connection between notions of team member, team climate and team leader, and its influence on OI project success. Thus, the main purpose of the study is providing support for existing knowledge on OI teams and developing new insights into this newly emerged topic.
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In this conceptual article, we extend earlier work on Open Innovation and Absorptive Capacity. We suggest that the literature on Absorptive Capacity does not place sufficient emphasis on distributed knowledge and learning or on the application of innovative knowledge. To accomplish physical transformations, organisations need specific Innovative Capacities that extend beyond knowledge management. Accessive Capacity is the ability to collect, sort and analyse knowledge from both internal and external sources. Adaptive Capacity is needed to ensure that new pieces of equipment are suitable for the organisation's own purposes even though they may have been originally developed for other uses. Integrative Capacity makes it possible for a new or modified piece of equipment to be fitted into an existing production process with a minimum of inessential and expensive adjustment elsewhere in the process. These Innovative Capacities are controlled and coordinated by Innovative Management Capacity, a higher-order dynamic capability.