scholarly journals UNIVERSITY KNOWLEDGE TRANSFER AND INNOVATION PERFORMANCE IN FIRMS: THE GHANAIAN EXPERIENCE

2019 ◽  
Vol 24 (03) ◽  
pp. 2050023
Author(s):  
ABDUL-FATAHI ABDULAI ◽  
LYNDON MURPHY ◽  
BRYCHAN THOMAS
Keyword(s):  
Knowledge Transfer ◽  
Structural Equation ◽  
Knowledge Exchange ◽  
Positive Association ◽  
Innovation Performance ◽  
Business Community ◽  
Knowledge Generation ◽  
Industry Collaboration ◽  
Using Data ◽  
University Industry

This paper examines the association between university–industry collaboration and firm innovation performance, and the effect of informal mechanisms of knowledge transfer on such an association, using data from a survey of 245 firms in Ghana and employing partial least squares structural equation modelling. The results are of significant relevance to the business community and policy-makers in Ghana and West African. We find that while university–industry collaboration is positively related to innovation performance in firms, informal mechanisms of university knowledge transfer do not and negatively moderate the positive association between university–industry collaboration and innovation performance in firms. It is also found that to facilitate innovation outcomes, formal, legal binding contracts are required. The study recommends that university knowledge generation and innovation policies in Ghana encourage formal collaboration between knowledge exchange actors. It is also suggested that improvements need to be made to the efficacy of intellectual property legislation in Ghana.

Comprehending a knowledge framework as a source of dynamic capabilities in IJVs through PLS-SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Madhavi Kapoor ◽  
Vijita Aggarwal
Keyword(s):  
Knowledge Transfer ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Global Market ◽  
Innovation Performance ◽  
International Joint Ventures ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Content Type

Purpose This study aims to investigate the relationship among knowledge transfer enablers, knowledge transfer process, absorptive capacity and innovation performance in the context of Indian international joint ventures (IJVs). These elements are woven with the thread of dynamic capabilities theory (DCT) into an integrated framework. Design/methodology/approach Data analysis is conducted on a quantitative survey of 196 IJVs with partial least squares structural equation modeling as the statistical technique. Findings Co-learning strategy, collaborative trust culture, information technology-based resources and systems and organizational structural design are found to be significant knowledge transfer enablers. Absorptive capacity has a complementary partial mediation effect on the positive relationship between knowledge transfer and innovation performance of Indian IJVs. Research limitations/implications The study has pioneered in explicating the criticality of IJV’s internal dynamics to cope with the global market dynamism in a much needed Indian context. Practitioners must focus on building dynamic capabilities in IJVs to make them sustainably competitive, as proposed and evaluated by this study. Further, IJV managers need to strategize their resources, routines and structure dynamically to foster knowledge transfer and innovativeness. Originality/value The comprehensive model on DCT offered by this study is rare to match in literature with a completely new context, which is the need of the hour.

Who Controls Whom?

2015 ◽  
pp. 173-186
Author(s):  
Ainurul Rosli ◽  
Peter Robinson
Keyword(s):  
Knowledge Transfer ◽  
Case Studies ◽  
Knowledge Exchange ◽  
Full Understanding ◽  
Boundary Spanner ◽  
Enterprise Network ◽  
The University ◽  
The Relationship ◽  
University Industry

This chapter looks into the importance of having a clear identity of a boundary spanner in determining the role of the partners in a university-industry knowledge transfer programme. It highlights issues around the relationship between the business and the graduate as the boundary spanner, where the university's level of control differs between two programmes: Knowledge Transfer Partnership (KTP) and Knowledge Exchange and Enterprise Network (KEEN) programme. The four case studies illustrate interesting points since the university is the employer for the KTPs associate and the business is the employer for the KEEN associate, whilst successful KTP and KEEN projects rely on a full understanding of the role of the graduate within the business.

Efficiency Assessment of University-Industry Collaboration

2021 ◽  
pp. 155-175
Author(s):  
Ebru Yüksel Haliloğlu
Keyword(s):  
Industrial Development ◽  
Academic Research ◽  
Data Envelopment ◽  
Academic Knowledge ◽  
Technological Advances ◽  
Industry Collaboration ◽  
Close Cooperation ◽  
Using Data ◽  
New Applications ◽  
University Industry

Today, in addition to teaching and research roles, universities are one of major drivers of economic development and technological progress in society. To propagate technological innovation and industrial development, to implement output of academic research in practice universities should be in close cooperation with industry. University-industry collaborations have various benefits both for universities and industry. Universities gain additional funds for academic research, apply academic knowledge to industry; industry benefits from skilled human resources, new applications, and technological advances. Since university-industry collaborations have great mutual benefits for all partners, it is important to administer these operations effectively. Therefore, it is central to develop some efficiency indicators and efficiency measurement methods so that productive projects can be selected and funded more. This study aims to outline a framework on determinants of university-industry collaboration efficiency and construct a benchmark model to evaluate it using data envelopment analysis.

The role of innovation in the relationship between university–industry collaboration in R&D and ISO 9001

2020 ◽  
Vol 12 (4) ◽  
pp. 365-383
Author(s):  
Hazem Aldabbas ◽  
Ashly Pinnington ◽  
Abdelmounaim Lahrech
Keyword(s):  
Quality Management ◽  
Structural Equation ◽  
High Income ◽  
Iso 9001 ◽  
Content Type ◽  
Income Category ◽  
Industry Collaboration ◽  
High Income Category ◽  
The Relationship ◽  
University Industry

Purpose This study aims to investigate the relationship between university–industry collaboration (U-I-C) in research and development (R&D) and quality management and explore how the relationship is mediated by innovation. Design/methodology/approach Based on panel data consisting of 109 countries spanning over a five year period (2013-2017) this study investigates, through structural equation modelling, how this relationship is mediated by innovation. Findings The main finding is that there are positive significant direct effects between U-I-C and innovation and between innovation and international organization for standardization (ISO) 9001. Furthermore, the strength and significance of these relations are highly affected by the classification of income in these countries, which ranges from high and upper-middle to lower-middle categories. This paper concludes that countries in the high-income category have higher achievement in U-I-C in R&D, innovation and ISO 9001 when compared to the upper and lower-middle-income categories. Originality/value This paper demonstrates in the empirical study the value of collaboration in R&D between government, industry and academia, as it can encourage scientific research and contribute to quality management and innovation. This research is one of the very few studies to assess the country’s income classification effect on U-I-C in R&D, innovation and ISO 9001. It is recommended that more research is conducted on how countries not ranked in the high-income category could benefit from U-I-C in R&D to enhance innovation and quality management.

scholarly journals Organizational Culture and Open Innovation Performance in Small and Medium-sized Enterprises (SMEs) in Poland

2016 ◽  
Vol 51 (1) ◽  
pp. 104-138 ◽  
Author(s):  
Jolanta Mazur ◽  
Piotr Zaborek
Keyword(s):  
Organizational Culture ◽  
Financial Performance ◽  
Open Innovation ◽  
Structural Equation ◽  
Small And Medium Enterprises ◽  
Knowledge Exchange ◽  
Positive Association ◽  
Positive Influence ◽  
Main Hypothesis ◽  
Innovative Culture

AbstractThis study investigates the links between organizational culture, the use of open innovation sources and the performance of SMEs. The main hypothesis of the study is that a special type of organizational culture (termed innovative culture), which fosters creativity, learning and inter-employee cooperation – will correspond with a greater scope of open innovation sources and higher levels of innovative, operational and financial performance. The study was based on a representative CATI survey of 473 SMEs operating in manufacturing and services industries in Poland. Our statistical analysis relied on building and testing structural equation model with the AMOS software. The findings confirmed a positive association between innovative culture and the scope of open sources of innovation. However, innovative culture had no direct effect on the percentage of sales from new and modified products, which is often used as a metric of innovativeness, but did show a positive influence on an index of operational performance and ROI. Such statistical patterns suggest that fostering innovative culture is beneficial to a company, though probably not through an increased number of product innovations, but rather via process, administrative and marketing innovations, as well as other gains in efficiency attained due to more streamlined employee cooperation and knowledge exchange. The study adds to the existing body of knowledge in management science by providing a better understanding of mechanisms underlying innovative culture’s impacts on open innovation practices and metrics of operational and financial performance in the context of small and medium enterprises.

scholarly journals University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer

2018 ◽  
Vol 45 (2) ◽  
pp. 371-392 ◽  
Author(s):  
A. Alexander ◽  
D. P. Martin ◽  
C. Manolchev ◽  
K. Miller
Keyword(s):  
Knowledge Transfer ◽  
Industry Collaboration ◽  
University Industry

University–Industry Collaboration, Knowledge Management and Enterprise Innovation Performance

2008 ◽  
Vol 22 (5) ◽  
pp. 275-287 ◽  
Author(s):  
Jin Chen ◽  
Shiyang Wei
Keyword(s):  
Knowledge Management ◽  
Innovation Performance ◽  
Learning Performance ◽  
Network Embeddedness ◽  
Industry Collaboration ◽  
Management Perspective ◽  
Core Elements ◽  
Enterprise Innovation ◽  
Enterprise Level ◽  
University Industry

This empirical study is concerned with university–industry collaboration from a knowledge management perspective. The authors introduce the concepts of ‘enterprise-level core elements’ to define the principle status of an enterprise during university–industry collaboration, and ‘network embeddedness’ as an indication of the closeness of the collaboration. Furthermore, they examine the method of knowledge management. Finally, they use both learning performance and product innovation performance to measure an enterprise's innovation performance.

scholarly journals Intellectual Capital, Knowledge Sharing, and Innovation Performance: Evidence from the Chinese Construction Industry

2019 ◽  
Vol 11 (9) ◽  
pp. 2713 ◽  
Author(s):  
Yongfu Li ◽  
Yu Song ◽  
Jinxin Wang ◽  
Chengwei Li
Keyword(s):  
Knowledge Sharing ◽  
Intellectual Capital ◽  
Structural Equation ◽  
Positive Influence ◽  
Equation Model ◽  
Innovation Performance ◽  
Mediating Effect ◽  
Construction Enterprises ◽  
Using Data ◽  
The Relationship

Knowledge economy era is an era driven by innovation, mainly based on the input of intangible assets which plays decisive roles in the long-term development of enterprises. The product value of enterprises is largely determined by their intellectual capital. Therefore, as pillars of China’s economy, construction enterprises must strengthen their investments in intellectual capital, and to achieve competitiveness in the market, enterprises must share knowledge with the other members of their networks. This study explores the relationship among the intellectual capital, knowledge sharing, and innovation performance of construction enterprises and the mediating effect of knowledge sharing on the relationship between intellectual capital and innovation performance by using data collected from a questionnaire survey. These data are analyzed along with the aforementioned relationships by using SPSS and a structural equation model. The findings indicate that intellectual capital not only has a direct positive influence on the innovation performance of construction enterprises but also positively affects their innovation performance through knowledge sharing. This paper concludes by presenting its limitations and the implications of its findings.

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