Open Innovation and Organizational Boundaries: The Impact of Task Decomposition and Knowledge Distribution on the Locus of Innovation

2012 ◽  
Author(s):  
Karim R. Lakhani ◽  
Hila Lifshitz - Assaf ◽  
Michael Tushman
Keyword(s):  
Open Innovation ◽  
Organizational Boundaries ◽  
Task Decomposition ◽  
The Impact

Small- and medium-scale Italian winemaking companies facing the open innovation challenge

2016 ◽  
Vol 35 (3) ◽  
pp. 327-348 ◽  
Author(s):  
Angelo Presenza ◽  
Tindara Abbate ◽  
Marta Meleddu ◽  
Fabrizio Cesaroni
Keyword(s):  
Open Innovation ◽  
Theory And Practice ◽  
Innovation Activity ◽  
Future Research ◽  
Knowledge Sources ◽  
Organizational Boundaries ◽  
External Knowledge ◽  
External Sources ◽  
The Impact ◽  
Innovation Challenge

This article examines the impact of open innovation (OI) practices on the innovation activity of low-tech small- and medium-sized enterprises (SMEs). Different external knowledge sources are considered, and the ability of SMEs to acquire and integrate external knowledge into their organizational boundaries for innovation purposes is assessed. The research draws on a sample of 191 Italian winemakers. The results show that SMEs with higher propensity to access and use external knowledge sources show a greater ability to innovate and that their absorptive capacity impacts the use of external sources. Several implications for theory and practice are drawn, underlining a number of suggestions for future research.

scholarly journals Two Sides of the Same Coin. University-Industry Collaboration and Open Innovation as Enhancers of Firm Performance

2021 ◽  
Vol 13 (7) ◽  
pp. 3866
Author(s):  
Joana Costa ◽  
Ana Rita Neves ◽  
João Reis
Keyword(s):  
Firm Performance ◽  
Open Innovation ◽  
Primary Data ◽  
Company Performance ◽  
Innovation Ecosystem ◽  
Industry Collaboration ◽  
And Performance ◽  
Performance Results ◽  
The Impact ◽  
University Industry

Open innovation is proved to be determinant in the rationalization of sustainable innovation ecosystems. Firms, universities, governments, user communities and the overall environment are called to contribute to this dynamic process. This study aims to contribute to a better understanding of the impact of open innovation on firms’ performance and to empirically assess whether university-industry collaborations are complementary or substitutes for this activity. Primary data were collected from a survey encompassing 908 firms, and then combined with performance indicators from SABI (Spanish and Portuguese business information). Econometric estimations were run to evaluate the role of open innovation and university-industry collaboration in the firm innovative propensity and performance. Results highlight the importance of diversity in collaborations with the academia and inbound open innovation strategy as enhancers of firm performance. The two activities reinforce each other. By testing the impact of open innovation practices on company performance, the need for heterogeneity in terms of contact type and university is also demonstrated. Findings cast light on the need to reformulate existing policy packages, reinforcing the ties with academia as well as the promotion of open innovation strategies. The connection to the innovation ecosystem needs to be further encouraged as well as the promotion of persistent connections with the knowledge sources in an open and multilateral framework.

scholarly journals The impact of Covid‐19 on innovation policies promoting Open Innovation

2021 ◽  
Author(s):  
Andrea S. Patrucco ◽  
Daniel Trabucchi ◽  
Federico Frattini ◽  
Jane Lynch
Keyword(s):  
Open Innovation ◽  
The Impact ◽  
Innovation Policies

Investigating Determinants of Industry–University Collaboration in an Open Innovation Context: Comparative Evidence from an Exploratory Study

2021 ◽  
pp. 097172182110204
Author(s):  
Calin Florin Baban ◽  
Marius Baban ◽  
Adalberto Rangone
Keyword(s):  
Artificial Intelligence ◽  
Fuzzy Logic ◽  
Open Innovation ◽  
Exploratory Study ◽  
Correlation Matrices ◽  
Related Literature ◽  
Industrial Areas ◽  
The Impact ◽  
Intelligence Approach ◽  
Artificial Intelligence Approach

In an open innovation (OI) paradigm, universities are considered as important sources of external scientific knowledge for industry, and comparative study of such collaboration can result in more effective and efficient employment of OI. Within this framework, this study explores how the determinants of collaboration between industry and universities in an open context of innovation are addressed by firms within industrial areas. For this purpose, a conceptual framework of industry–university determinants in an open context of innovation is developed from the related literature. Taking into consideration the determinants integrated into the framework, this study compares motives, barriers, channels of knowledge transfer, benefits and drawbacks of such collaboration in two Italian and Romanian industrial areas. Comparative differences in each OI determinant between the firms from the two Italian and Romanian industrial areas are analysed. The associations among the study determinants are also investigated based on correlation matrices among the five determinants in both Italian and Romanian firms. An artificial intelligence approach based on fuzzy logic was developed to predict the impact of the study determinants on the perception of universities as a source for OI activities of firms.

scholarly journals How Intellectual Property Management Capability and Network Strategy Affect Open Technological Innovation in the Korean New Information Communications Technology Industry

2018 ◽  
Vol 10 (8) ◽  
pp. 2600 ◽  
Author(s):  
So Kim ◽  
Eungdo Kim
Keyword(s):  
Intellectual Property ◽  
Technological Innovation ◽  
Open Innovation ◽  
Communications Technology ◽  
Management Capability ◽  
New Information ◽  
Cooperation Network ◽  
Ict Industry ◽  
The Impact ◽  
Ip Management

This paper analyses factors in open innovation activity in the Korean new information and communications technology (ICT) industry, with a focus on cooperation network strategy and intellectual property (IP) management capability, by applying multiple regression models with data collected from 300 companies within the industry. The results of this analysis suggested that the intensity and variation of a company’s technological cooperation with a new ICT company has a statistically meaningful impact on its innovation. In particular, the impact depended on the type of cooperation network. Though IP management capability was also shown to have an important influence on a new ICT company’s innovation, the impact of specific actions for IP management varied by the specific type of innovation results. This study suggests that new ICT companies need to construct technological innovation networks using multiple external sources and enhance their IP management capability in order to increase their technological innovation performance. The factors influencing technological innovation are elements of open innovation, indicating the open technological innovativeness of the new ICT Industry.

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