Making innovative use of academic knowledge to enhance corporate technology innovation impact

Harryson, Sigvald; Kliknaite, Sandra; Dudkowski, Rafal

doi:10.1504/ijtm.2007.013504

Cited by 25 publications

(34 citation statements)

References 72 publications

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“…Logit model estimates for the study areas (Table 4) showed that the effect of the three independent variables, namely level of knowledge, level of acceptance and level of transfer of technology were statistically significant at 5% level. These results are consistent with a number of theoretical and empirical studies revealing that knowledge of an innovation is the first step in the decision-making process [34,36,37] In similar studies, Harryson et al [38] and Chong et al [39] noted that knowledge is an independent variable that determines the level of adoption of an innovation.…”

Section: Resultssupporting

confidence: 89%

“…This is in line with the works of Boon and Holmes [40] and Cahill et al [41] that have noted the importance of trust as one of the indicators affecting adoption based on technology acceptance models. Furthermore, the adoption of new technology is a function of profitability, riskiness, initial capital requirement, complexity and availability [37,42,43,44]. The positive sign and significance of the acceptance variables in this study imply that acceptance is a second major factor according to magnitude of coefficient that will promote adoption of innovation by biotechnology users.…”

Section: Resultsmentioning

confidence: 66%

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Adoption Process of Agro-biotechnology Among Researchers in Nigerian Universities and Research Institutes: The Logistics Regression Approach

Apata

2015

AJEA

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Aims: Food insecurity in most developing countries was a result of their low/small scale of operation in farming enterprise resulting to low yields. To increase agricultural productivity, biotechnology has been considered as a strong potential to improve agricultural production. This paper examined the biotechnology adoption scenario in Nigeria from the viewpoint of academic researchers. Study Design: A purposive sampling technique was adopted and the target population was limited to 100 academic biotechnology researchers. Methodology: Eighty percent of the researchers came from Universities while 10per centeach was drawn from College of Agriculture and Institute of Agricultural Research respectively. Mean age was 44.5 years; mean teaching/research experience was 7.5 years. Logit model estimates for the study areas showed that the effect of the three independent variables: level of knowledge, level of acceptance and level of transfer of technology were statistically significant at 5% level. Results: These findings' revealed that knowledge about an innovation is an indicator of the level of adoption. As the awareness of knowledge increases, it is more likely that there will be a corresponding increase in the level of adoption. The acceptance variable has a positive impact on the decision to adopt biotechnology.

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Section: Resultssupporting

confidence: 89%

Section: Resultsmentioning

confidence: 66%

Adoption Process of Agro-biotechnology Among Researchers in Nigerian Universities and Research Institutes: The Logistics Regression Approach

Apata

2015

AJEA

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“…A number of case studies have suggested possible mechanisms through which firms benefit from collaboration with universities, including opportunities to leverage research spending, recruitment of young talent, and opportunities to collaborate around complementary knowledge bases and access advanced equipment (Harryson et al 2007). In an influential paper, Lee (2000) presents evaluations of the reasons for seeking partnerships with universities based on the results of a large survey.…”

Section: Rationales For University-industry Interactionmentioning

confidence: 99%

“…Furthermore, survey results suffer from a lack of in-depth information on the context and situation of each unit of analysis, and this restricts the understanding of interaction rationales. Complementing survey-based findings, the literature also provides several case studies on universityindustry cooperation, which provide in-depth contextual understanding (Harryson et al 2007). However, such studies suffer from inherent problems with establishing whether the findings are representative outside the case at hand.…”

Section: Introductionmentioning

confidence: 99%

Firms’ rationales for interaction with research universities and the principles for public co-funding

Broström

2010

J Technol Transf

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R&D managers at 50 firms who have formal relations with two research universities in Stockholm are interviewed about their rationales for collaboration. Drawing on this material, a distinctive typology of rationales for establishing cooperative relations is presented. While the typology demonstrates a considerable breadth of interaction rationales, rationales related to innovation, in terms of invented or improved products or processes, are found to be the main drivers for interaction. Based on this framework, we analyse which rationales for interaction are consistent with public rationales for supporting university-industry relationships. Public co-funding that allow firms to influence (part of) the academic agenda is identified as a particularly interesting case that requires further theoretical attention.

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“…Exploration entails the quest for new knowledge, which can be combined in new constellations, to subsequently develop new organisational capabilities and future innovation, whereas exploitation pertains to the efficient utilisation and development of the existing repository of corporate knowledge (March, 1991;Levinthal and March, 1993;Murray, 2001;Harryson and Lorange, 2005;Harryson et al, 2007). The ability to perform both activities is referred to as organisational ambidexterity (Tushman and O'Reilly, 1997) -a seemingly useful ability to navigate from creativity to commercialisation of innovation.…”

Section: How Different Network Structures Support Exploration Versus mentioning

confidence: 99%

Entrepreneurship through relationships – navigating from creativity to commercialisation

Harryson

2008

R & D Management

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This paper explores the role of relationships in the emergence of a network's value creation structure. The strategic navigation from creative exploration to global exploitation through the use of so‐called transformation networks is particularly highlighted. The creativity phase requires a creator with visionary leadership. The commercialisation phase, on the other hand, requires technology integration and global marketing excellence. Realising that this requires more than a bright inventor, the creator of Anoto brought in the right complementary assets at distinct phases of the commercialisation process. Our case illustrates how integrator and marketeer profiles were brought into a networked act of entrepreneurship for joint navigation across an ocean of relationships that gave birth to a global standard for digital writing. By combining theories on open innovation and networking, a theoretical framework is developed to analyse the different nature of the networks (or the value creation structure) in which complementary assets can be accessed, transferred and transformed into commercialised innovation. The analysis suggests that the value of complementary assets are embedded in and unlocked by three distinct types of networks: creativity networks, transformation networks and process networks. It also suggests that the ideal approach to accessing complementary assets shifts over the research and development management process, and happens through these three different types and levels of networks, requiring fundamentally different approaches to leadership and relationship management. Current literature describes open and networked innovation as a continuous – not dynamic – process of exploration and exploitation without any distinction of how types and structures of networks evolve and interact in the process.

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Making innovative use of academic knowledge to enhance corporate technology innovation impact

Cited by 25 publications

References 72 publications

Adoption Process of Agro-biotechnology Among Researchers in Nigerian Universities and Research Institutes: The Logistics Regression Approach

Adoption Process of Agro-biotechnology Among Researchers in Nigerian Universities and Research Institutes: The Logistics Regression Approach

Firms’ rationales for interaction with research universities and the principles for public co-funding

Entrepreneurship through relationships – navigating from creativity to commercialisation

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