Enabling collaborative innovation – knowledge protection for knowledge sharing

2011 ◽  
Vol 14 (3) ◽  
pp. 303-321 ◽  
Author(s):  
Pia Hurmelinna‐Laukkanen
2014 ◽  
Vol 18 (06) ◽  
pp. 1440012 ◽  
Author(s):  
HEIDI OLANDER ◽  
PIA HURMELINNA-LAUKKANEN ◽  
MIKA VANHALA

Innovations have the potential to create value by generating rents (primary appropriability), or they can be used as background knowledge for further innovations and value creation (generative appropriability). Because these possibilities exist, organisations need to make strategic decisions on knowledge sharing with their partners in collaborative innovation. In best cases, primary and generative appropriability are complementarities rather than alternatives: Knowledge sharing with partners for new innovation could be made safer using formal and informal isolating appropriability mechanisms that improve controllability, thereby preserving rent generation possibilities and simultaneously allowing safe knowledge exchange. We use a quantitative sample of 209 Finnish firms to examine how different formal and informal appropriability mechanisms relate to value capture and creation, and whether these relationships are affected by the strategic goal to reduce imitation of competitors or to improve safe knowledge sharing to partners.


2015 ◽  
Vol 30 (3) ◽  
pp. 91-123
Author(s):  
Lupilya Emmanuel Constantine ◽  
Park J Hun

The existing gap from strategic innovation in e-government knowledge creation has affected the effort to timely develop e-government policy in Tanzania. This paper is an attempt to describe multiple innovations outside the Tanzania that involve developing country collaboration, institutional innovation and resources and their linkages to national e-government-think tank. The central argument of this paper is to find factors for enhancing the development of national e-government policy innovation outside Tanzania. We developed national e-government policy framework to orchestrate local innovation and forge ahead of the e-government policy innovation. To do so, we developed and administered a set of the questionnaire from government and private institutions, entrepreneurship and social network group. Data collections were conducted from July 15 to September 20, 2015. The exploratory factor analysis using SPSS version 22 was employed to analyze data for strategic innovation, knowledge sharing, and e-government policy innovation. Four critical factors were identified as the key driver to the success of national e-government policy innovation: Coordinate knowledge sharing on e-government policies in the nation and international institutions; empower and coordinate e-government-think tank forum locally and nationally; create a technoculture society at local and national level; and Support e-government research alliance & engagement respectively. In additional, three developing countries were used as a reference model to support these findings. Our conclusion shows how national e-government-think tank and research alliance can become a strategic innovation in e-government towards coordinating knowledge sharing within private and government institutions. This can represent as "valuable and intellectual assets" for government institutions' stability and change towards national e-government policy innovation process.


2021 ◽  
Vol 19 (2) ◽  
pp. 424-434
Author(s):  
Agus Purwanto ◽  
◽  
John Tampil Purba ◽  
Innocentius Bernarto ◽  
Rosdiana Sijabat ◽  
...  

Transformational leadership greatly influences the management innovation and market performance of consumer good companies enterprises. According to the survey data about 244 employees of consumer goods companies, an empirical study was conducted on the relationship between transformational leadership, management innovation, knowledge sharing, market performance of consumer good companies enterprises, and analysis was made on the mediating effect of management innovation and knowledge sharing. The results showed that knowledge sharing has no significant effect on the market performance of consumer goods companies. Management innovation has not a significant effect on the market performance of consumer goods companies. Transformational leadership has no significant effect on the knowledge sharing of consumer goods companies. Transformational leadership has a significant effect on management innovation of consumer goods. Transformational leadership has no significant positive effect on the market performance of consumer goods companies.


2016 ◽  
pp. 406-429 ◽  
Author(s):  
Kijpokin Kasemsap

This chapter introduces the framework and causal model of organisational learning, knowledge management, knowledge-sharing behaviour, and organisational innovation. It argues that dimensions of organisational learning, knowledge management, and knowledge-sharing behaviour have mediated positive effect on organisational innovation. Knowledge-sharing behaviour positively mediates the relationships between organisational learning and organisational innovation and between knowledge management and organisational innovation. Organisational learning is positively related to knowledge management. Understanding the theoretical learning is positively beneficial for organisations aiming to increase organisational innovation and achieve business goals.


2018 ◽  
Vol 78 (4) ◽  
pp. 310
Author(s):  
Kim E. Van Oorschot ◽  
Hans Solli Sæther ◽  
Jan Terje Karlsen

2008 ◽  
Vol 07 (03) ◽  
pp. 187-195 ◽  
Author(s):  
Ari Jantunen ◽  
Kaisu Puumalainen ◽  
Pia Hurmelinna-Laukkanen

The intensity and directions of knowledge flows between different actors are essential determinants in innovation. Knowledge acquisition is needed to find the relevant signals from markets, and knowledge sharing can facilitate benefits from network externalities and collaboration. A deeper understanding of the dynamics within knowledge transfer is, however, still needed. Thus, our goal is to clarify the effects of knowledge sharing on innovative performance. We test our model with a sample of 299 medium-sised and large Finnish companies. Our multi-way ANOVA results indicate that the level of innovation performance varies between the knowledge sources and the types of knowledge sharing.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Cuicui Zheng

Low-carbon technological innovation is the main means to develop a low-carbon economy, and network knowledge sharing and collaborative innovation is an effective model for the development of low-carbon technologies. First of all, this article adopts a decision-making experiment and evaluation laboratory method and interpretation structure model, combines the two methods, extracts the advantages of the two, and discards the shortcomings of the two, thus constructing a new optimized and upgraded interpretation structure model. We give methods to explore the main influencing factors of collaborative innovation of low-carbon technologies for online knowledge sharing. Based on the industrial network knowledge sharing and cooperation network environment, the network evolution game model of network knowledge sharing knowledge collaboration is constructed to study the rewards and punishments, the profit distribution rate, the knowledge potential difference, and the parameter pairing of the network knowledge sharing cooperation network structure in the process of network knowledge sharing and collaborative knowledge innovation. The influence of the network knowledge sharing cooperation strategy is obtained through simulation to change the size of the relevant parameters so that the network knowledge sharing cooperation agent chooses the network evolution game of the sharing strategy to realize the optimal evolutionary stable strategy. According to the simulation results, this article proposes suggestions from the following aspects, aiming to improve the overall knowledge synergy effect of the network knowledge sharing and cooperation network.


2018 ◽  
Vol 78 (4) ◽  
pp. 310
Author(s):  
Kim E. Van Oorschot ◽  
Hans Solli Sæther ◽  
Jan Terje Karlsen

2015 ◽  
Vol 5 (2) ◽  
pp. 1-20
Author(s):  
Sohail Tamaddon ◽  
Atif Ahmad ◽  
Rachelle Bosua

Human knowledge-sharing networks generate Intellectual Property and Trade Secrets that provide private enterprise with competitive advantages. Although considerable research has focused on increasing the knowledge-sharing outcomes of such networks, there has been comparatively less emphasis on examining the possibility of competitive erosion through knowledge leakage. This paper considers how to mitigate knowledge leakage by influencing the development of human knowledge sharing networks. The authors review the literatures of human knowledge sharing networks as well as information security management in organizations. Based on the literature reviews we identify 12 key factors that influence network development and a security paradigm and associated mechanisms that mitigate knowledge leakage. The authors then identify a range of knowledge protection strategies by applying the security paradigm to the human network development factors. The paper concludes with a discussion on controllability, the extent to which organizations can use each factor to mitigate knowledge leakage.


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