Commercialization of academic research: assessing the perception of academicians at a public university in Malaysia

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nur Syazwani Suhaimi ◽  
Muhammad Abi Sofian Abdul Halim ◽  
Hafiza Aishah Hashim
Keyword(s):  
Academic Research ◽  
University Research ◽  
Ministry Of Education ◽  
Executive Management ◽  
Content Type ◽  
Factors Affecting ◽  
Funding Sources ◽  
Industry Collaboration ◽  
Two Factors ◽  
University Industry

PurposeThis study examines the perception and attitudes of academicians regarding factors that influence the commercialization of university research.Design/methodology/approachThe data sample was drawn using a proportionate stratified sampling approach. A self-administered survey was used to obtain data regarding the perception of academicians on the factors that contribute to research commercialization. A total of 131 academicians completed the survey. Multiple regression analysis was used to test the hypotheses.FindingsThe results showed that two factors are significant and positively related with commercialization: the academician's behaviour and University-Industry collaboration. Surprisingly, the factors of innovativeness and Intellectual Property management did not have a significant relationship with commercialization.Research limitations/implicationsFor future work, researchers should conduct in-depth interviews with the executive management at research universities and at the Ministry of Education Malaysia to complement our quantitative survey. These decision-makers act as funding sources for commercialization and can provide richer evidence regarding important factors affecting commercialization. They can also provide insight on the issues that prevent the commercialization of research from becoming a reality.Originality/valueCommercialization of Malaysia's university research findings is a critical agenda item in the National Higher Education Strategic Plan. However, in Malaysia, the rate of commercialization of academic research is still unsatisfactory. This study provides important insights regarding intentions behind commercialization by depicting how factors of academic research (i.e. academician's behaviour, innovativeness, Intellectual Properties management, University-Industry collaboration) influence commercialization.

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 The role of universities for the change of a network structure in the regional business ecosystem

2018 ◽  
Vol 12 (1) ◽  
pp. 77-89
Author(s):  
Changone Kim ◽  
Sang-Hyeok Park ◽  
Byung-Moon Seol
Keyword(s):  
Chief Executive Officers ◽  
Service Providers ◽  
Chief Executive ◽  
Business Network ◽  
Content Type ◽  
Internal Resources ◽  
Business Ecosystem ◽  
Industry Collaboration ◽  
University Industry

Purpose This paper aims to focus on the changing role of universities in university–industry collaboration (UIC) for enriching the regional business ecosystem network. For this, the authors analyze “Business Clinic Day,” (BCD) a specific UIC program which provides a consulting service for firms, small- and medium-sized enterprises (SMEs) having a specific problem, by a group of facilitators. It includes consultants such as chief executive officers (CEOs), professors and heads of regional public or private service providers. This study illustrates that various types of networks are formed between consultants and problem-owners by facilitation of university after the program. Design/methodology/approach This study has analyzed with social network analysis how the business network was changed from clinic day program. Furthermore, the networks surrounding SMEs are extended to the other people connected to them. This means that the business network of SMEs had been diversified via the facilitation of “BCD” provided as UIC program. Findings Local SMEs have difficulties in enhancing their competitiveness in the market both in terms of internal resources and networks with external organizations. Thus, universities need to promote university–industry collaboration programs to enable SMEs to strengthen their competitiveness by building networks in local business ecosystems. Originality/value This study throws new highlights on the facilitator role of a university as a network promoter, in addition to the partner as a technology provider, in the regional business ecosystem.

Factors affecting the diffusion and success of collaborative interactions between university and industry

2016 ◽  
Vol 7 (3) ◽  
pp. 273-288 ◽  
Author(s):  
Guido Capaldo ◽  
Nicola Costantino ◽  
Roberta Pellegrino ◽  
Pierluigi Rippa
Keyword(s):  
Diffusion Of Innovation ◽  
Content Type ◽  
Factors Affecting ◽  
Collaborative Interactions ◽  
Managerial Implications ◽  
Multiple Case ◽  
New Policies ◽  
The University ◽  
Cross Case Analysis ◽  
University Industry

Purpose This paper aims to investigate factors and weaknesses influencing university–industry interactions diffusion and success by focusing on the research services initiatives because there are limited studies in literature focusing on this specific form of interaction between the two actors. Design/methodology/approach The authors carried an explorative research based on multiple case studies referring to research services experienced between two big Italian universities and small and medium-sized enterprises located in the same area. Findings By conducting a cross-case analysis, the authors highlight categories of data in terms of factors influencing interactions’ diffusion and success, as perceived by researchers and by firms; and weaknesses in the interactions process to identify suggestions for improving interactions’ diffusion and success, from researchers and firms. Practical implications The outcomes provide managerial implications useful for agencies supporting the diffusion of innovation among firms and firms’ systems for defining new policies and action plans aimed at making the university–industry interactions faster and more effective, improving the innovation processes within firms. Originality/value This paper gives new insight in the analysis of factors enhancing university–industry relationships with a focus on research services collaborations and focusing both on university and industry, where large contributions focus predominantly on both groups.

Researcher, I have heard of your innovation. Will you marry me?

2018 ◽  
Vol 9 (3) ◽  
pp. 264-283
Author(s):  
Nuria Calvo ◽  
Jacobo Feás ◽  
David Rodeiro-Pazos ◽  
Braulio Pérez ◽  
Sara Fernández-López
Keyword(s):  
Knowledge Transfer ◽  
Open Innovation ◽  
Innovation Process ◽  
Transfer Model ◽  
Content Type ◽  
Two Factors ◽  
Industry Relations ◽  
University Industry ◽  
Willingness To Cooperate

Purpose This paper aims to explore the determinants of firms’ attitudes to R&D cooperation with universities with the goal to propose a model of knowledge transfer university-firm. Design/methodology/approach By understanding university-industry cooperation as a process, the model in this study is based on two factors: the “promoter of university-industry relations” (PUIR) and a technological system that is able to match the research supply of universities with the demand for innovation of the firms. A total of 375 firms, 420 research groups and 18 experts in knowledge transfer from Spain, Portugal and France have been involved in this study. Findings This study provides the first evidences of the relation between the number of matches’ demand-supply of research, the number of university-firm relations and the willingness to cooperate; all of these presented in the knowledge transfer model. Results also reinforce the utility of the role of PUIR and the matching system in the open innovation process. Research limitations/implications However, more evidences are necessary to get a complete validation of the model. In the future, the continuous utilization of the matching system by the PUIRs of the selected regions will allow the authors to evaluate how well the system is working by analysing the possible increases in formal collaboration university-firm in the area of R&D. Originality/value This study contributes to the literature through aligning the open innovation and intellectual capital theories in the specific and complex context of university-firm collaboration. Also, little research regarding this topic has been noticed in SUDOE European Union (EU) countries (SUDOE is an EU territorial cooperation programme that supports regional development by funding transnational projects).

Uncovering the dimensions of servicescape using mixed method approach – A study of beauty salons

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nidhi Kampani ◽  
Deepika Jhamb
Keyword(s):  
Factor Analysis ◽  
Mixed Method ◽  
Research Effort ◽  
Three Dimensions ◽  
Ambient Conditions ◽  
Content Type ◽  
Factors Affecting ◽  
Five Factors ◽  
Two Factors ◽  
Beauty Salons

PurposeThe purpose of this study aims to explore the dimensions assessing the servicescape of beauty salons and provides suggestions to improve the salon's servicescape.Design/methodology/approachA mixed-method design is used in the sequence of thematic analysis through focus group technique followed by exploratory factor analysis and confirmatory factor analysis were used to assess the beauty salon's servicescape.FindingsThe exploration of factors in beauty salons is determined with three dimensions: the substantive staging of servicescape, the communicative staging of servicescape and the social staging of servicescape. These dimensions are mentioned in the order of importance perceived by the customers. The substantive staging of servicescape was identified with five factors: ambient conditions, facility aesthetics, artifacts, provisions and spatial layout. Communicative staging of servicescape explored four factors: employee duties, employee commitment, employee–customer interactions and employee image. Social staging derived two factors: customer characteristics, customer-to-customer interactions.Research limitations/implicationsThe findings enrich the previous literature with the addition of new factors while assessing servicescape in beauty salons and the development of new items through qualitative research in the domain of servicescape.Practical implicationsThe study offers the managers to understand the importance of various factors affecting the servicescape in beauty salons. The salon managers can beautify the service environment through the implementation of the factors identified, thus resulting in enhancing the experience of customers at the salons.Originality/valueConsidering no research has been conducted on beauty salons scale development, this study serves as the first empirical research effort.

A system dynamic approach for simulation of a knowledge transfer model of heterogeneous senders in mega project innovation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Huimin Liu ◽  
Yanru Yu ◽  
Yuxing Sun ◽  
Xue Yan
Keyword(s):  
Knowledge Transfer ◽  
Conceptual Model ◽  
Knowledge Creation ◽  
Academic Research ◽  
Transfer Model ◽  
Driving Mechanism ◽  
Qualitative Model ◽  
Knowledge Stock ◽  
Content Type ◽  
Factors Affecting

PurposeThe owners of mega projects typically assemble multiple academic research units and enterprises to form an innovation alliance, which carries out knowledge transfer and knowledge creation targeting technical challenges in the process of engineering construction. Due to high technical and management complexity of mega projects, factors affecting knowledge transfer among innovation subjects are complex and diverse. This study proposes a mixed system dynamics (SD) method to build and simulate the process of knowledge transfer in mega projects innovation and analyzes the driving mechanism that enhances knowledge stock of enterprises and engineering innovation results.Design/methodology/approachFirst, this paper proposes a conceptual model for knowledge transfer in mega projects by adopting event analysis of the data gained from investigations and interviews. Then, a qualitative model of knowledge transfer that considers mutual influences of the owner, academic research unit and enterprises is developed. Based on that, mathematical relationship among variables of the qualitative model is determined and a quantitative model of knowledge transfer that considers heterogeneity of knowledge sender is built. Finally, simulation is achieved using Vensim software.FindingsThe factors affecting knowledge stock of enterprises are analyzed from three aspects: (1) the individual motives and capability of academic research units and enterprises; (2) the gap between academic research units and enterprises; (3) the heterogeneity of academic research units. The results show that the willingness and capability of knowledge reception by enterprises, specific knowledge transfer context such as relational distance and organization distance between academic research units and enterprises and academic research units with high knowledge stock have key influences on the knowledge stock of enterprises.Research limitations/implicationsFactors affecting knowledge transfer within the alliance of innovation in mega projects and their correlations are highly complicated and difficult to determine. Despite massive investigations and interviews on many long-span bridges in China in this study, it is barely possible to directly obtain accurate data for all variables in the model. Limitations of historical data result in limitations on applications of the proposed model.Practical implicationsBy building the mega projects knowledge transfer model and conducting simulation analysis, this paper has generated practical values for the owners of mega projects on fostering, organizing, coordinating and managing of innovations. Especially, this study provides specific strategies and suggestions on selection of innovation subjects, motivation and guaranteed efficiency of knowledge transfer and knowledge creation of academic research units and enterprises.Originality/valueThis study proposes a conceptual model for factors affecting knowledge transfer that applies to innovations in mega project context, which fills the gap in the research of knowledge management in mega project innovations. Additionally, combining with the method of SD, the unique role of owner in knowledge transfer of mega projects and the differences among various knowledge senders and their influences on knowledge stocks of enterprises are thoroughly considered, and the research method of modeling and simulation of knowledge transfer mechanism is supplemented and extended.

The influence of researcher competence on university-industry collaboration

2019 ◽  
Vol 11 (2) ◽  
pp. 277-303
Author(s):  
Sew Huey Ting ◽  
Sofri Yahya ◽  
Cheng Ling Tan
Keyword(s):  
Domain Knowledge ◽  
Sampling Technique ◽  
Content Type ◽  
Business Partners ◽  
Structural Relationships ◽  
Industry Collaboration ◽  
Knowledge Transfers ◽  
Entrepreneurial Activities ◽  
The University ◽  
University Industry

Purpose This study aims to discover the influence of researcher competence on University-Industry collaboration via researcher’s domain knowledge. Design/methodology/approach Quantitative data were collected via survey questionnaire by using purposive sampling technique from a total of 121 academicians from all five research universities in Malaysia. PLS-SEM is used to examine multiple structural relationships between the researcher competence, domain knowledge transfers and spillovers and university-industry collaboration. Findings Researcher’s competence serves as a success booster to initiate the collaborative endeavour, and the University-Industry collaboration is found to be substantially influenced by the domain knowledge transfers and spillovers. Research limitations/implications The size of the sample in this study was however constrained by the characteristics and background of the targeted pool of respondents to be generalised to the population of all universities in Malaysia. Practical implications Researcher competence is found to be significant drive to the University-Industry collaboration formation through the development and deployment of domain knowledge transfers and spillovers. Thus, it requires the desire and need for continuous competence development for researchers, and a step change is called for individual principal investigators about extending their leadership across the field of studies and appearing as critical business partners in the University-Industry collaboration. Originality/value The paper contributes to the literature by empirically investigating the influence of researcher competence on the University-Industry collaboration via researcher’s domain knowledge. It attempts to show the researcher’s ability to leverage their competencies in increasing the collaborative endeavour in making out business opportunities, which will eventually influence the public university’s sustainability development. In addition, it proves the importance of researcher’s competence and domain knowledge within the entrepreneurial activities, which serves as the significant drivers to ensure successful University-Industry collaboration.

How industry collaboration influences research: The case of the Swedish interdisciplinary materials consortia, 1990–2000

2019 ◽  
Vol 33 (5) ◽  
pp. 289-307
Author(s):  
Eugenia Perez Vico ◽  
Olof Hallonsten
Keyword(s):  
Academic Research ◽  
Policy Implications ◽  
Added Value ◽  
Secondary Sources ◽  
Operational Level ◽  
Industry Collaboration ◽  
Funding Programme ◽  
Collaborative Activities ◽  
The Impact ◽  
University Industry

This article provides new insights into the consequences of university–industry collaboration for the content and conduct of academic research by analysing the Swedish research funding programme for the so-called ‘materials consortia’, in place between 1990 and 2000. Using secondary sources, the analysis highlights the causality in university–industry collaboration and the impact of such collaboration on the academic research environments involved. While the funding programme was clearly aimed at influencing the conduct of academic research, impacts are seen mostly in content. Also, collaborative activities with long-term positive outcomes grew organically rather than top-down, with mutual trust and recognition at the operational level of great importance. The policy implications include the realization that the durability of efforts, from funders as well as at the operational level, is key to achieving deeper added value in university–industry collaborations. The article contributes to a deepened and broadened understanding of the multidimensionality of university–industry collaborations and their effects on research.

Evidence based organizational change: people surveys, strategies and structures

2015 ◽  
Vol 36 (8/9) ◽  
pp. 623-643 ◽  
Author(s):  
J. Stephen Town
Keyword(s):  
Human Capital ◽  
Lived Experience ◽  
Participant Observation ◽  
Management Strategies ◽  
Academic Research ◽  
Content Type ◽  
Factors Affecting ◽  
Quantitative Evidence ◽  
Human Capital Measurement

Purpose – The purpose of this paper is to present a case study of the use of people surveys to enact change in human capital organization and practices in a University library. Design/methodology/approach – The study covers seven years of people surveys and the consequent interventions applied based on this and other data and evidence at the University of York, UK. The case describes measurement of staff’s lived experience, leading to innovation and intervention in management strategies, structures and policies. The research employs a mixed methodology; the paper draws on quantitative evidence from surveys, qualitative evidence from focus groups and desk research on human capital measurement and emotion in the workplace. Findings – The paper describes the findings of investigations across seven years, discusses the available methods for people assessment, and the different theoretical foundations of the engagement, climate and excellence surveys used across the period. Strategic and structural interventions are described and their effectiveness discussed. Research limitations/implications – The limitations of research in the field of human capital are discussed, including the participant observation of the library director, together with the potential confounding factors affecting data collected during the period of research. Social implications – The paper reflects on advances in the understanding and practice of people evaluation in libraries. The development of a people strategy based on evidence, and repetition of surveys to gauge the effectiveness of interventions, with consequent refinement of solutions, appear to have had a real effect on the lived experience, culture and service provided by the case library. Originality/value – The originality and value of the paper is that it provides a unique long-term case study of people surveys, strategy and structure in an academic research library.

Sign in / Sign up

Export Citation Format

Share Document