Search results

In this article, we analyse how variations in organisational conditions for research affect researchers’ opportunities for changing individual-level or group-level research programmes. We contrast three innovations that were developed in universities and public research institutes in Germany and the Netherlands, which enables comparisons both between organisational settings and between properties of innovations. Comparing the development of three innovations in the two types of organisations enables the identification of links between patterns of authority sharing at these organisations and the opportunities to develop innovations. On this basis, the distribution of opportunities to change research practices among researchers in the two countries can be established.

This study was aimed at testing whether the technology transfer performance of Romanian public research institutes—measured as the ability to generate patented technology—was positively related to institutional, human, commercial and financial factors.

A non-negative integer count data model was implemented to investigate a large sample of Romanian public research institutes in the period 2012–2019.

The results confirmed the positive influence of qualified human resources and commercial resources (technology transfer offices and spinoffs). Institutional factors were also relevant alongside the research field.

The paper has limitations inherent to an investigation conducted in an emerging economy, with a low innovative culture and little interest in technology transfer. Although the analysis focused on a specific country, the findings obtained may be extended to other contexts.

To increase their technology transfer, managers of public research institutes and governmental authorities are suggested to implement structural changes and incentives regarding the skilled human capital, the entrepreneurial knowledge and efforts, and the provision of financial resources.

Results showed that emerging innovator countries, such as Romania, should stimulate human capital to get involved in commercial activities, as interactions between public research institutes and the private sector generate economic, social, and environmental benefits.

This study concentrated on the performance evaluation of research and development activities carried out by public research institutes. Therefore, it contributes to a broad strand of literature which has essentially focused on universities, paying less attention to the contributions to scientific research of other organisations, such as public research institutes.

The purpose of this paper is to assess whether China’s public sector can continue to generate advanced genetically modified (GM) technologies that will be competitive in the market.

The authors investigated all the research teams that have been conducting research projects under the variety development special program. The data collected include detail information on research capacity, research areas, performance, and process of their research projects. Based on the survey data, the authors assessed the innovations and progress of the variety development special program.

Unlike other countries, most GM products in China are developed by public research institutes. There is rising concern on the ability of China’s public sector to continuously generate indigenous GM technology that can compete with multinational companies. The study surveyed 197 research institutes and 487 research teams and found that the GM program in China lacks coordination: researchers do not want to share their research materials with others. Due to the lack of coordination, most of the hundreds of research teams often worked independently in the year 2008-2010. Moreover, the authors found the lack of coordination may be due to the reason that the interests of researchers are not well protected. This paper also provided the recent progress and policy changes of GM program in China, and it found that the efficiency in the later three years improved a lot. In order to establish a competitive national public GM research system, China should continuously consolidate and integrate the upstream, midstream, and downstream activities of the whole GM innovation process. China’s public sector may also need to work more closely with both the domestic and international private sectors.

This paper is a comprehensive analysis on the development of transgenic technology in China. The results of this paper can provide evidence for the dynamic adjustment of the policies in the variety development special program and can also provide reference for the future assessment of the variety development special program.

Researchers continue to seek understanding of industrialization as a state managed process. How to create and implement new industries based on advanced knowledge is on the policy agenda of many advanced nations. Measures that promote these developments include national capacity building in science and technology, the formation of technology transfer systems, and the establishment of industrial clusters. What these templates often overlook is an analysis of use. This chapter aims to increase the understanding of the processes that embed new solutions in structures from an industrial network perspective. The chapter describes an empirical study of high-technology industrialization in Taiwan that the researcher conducts to this end. The study shows that the Taiwanese industrial model is oversimplified and omits several important factors in the development of new industries. This study bases its findings on the notions that resource combination occurs in different time and space, the new always builds on existing resource structures, and the users are important as active participants in development processes.

The Chinese Government has used a number of policies to encourage commercial agribusiness firms to do more innovation. These include public sector agricultural research and development (R&D), public sector biotechnology research and innovation, subsidies for commercial research, encouraging foreign firms to invest in China as minority shareholders in joint ventures, and allowing commercial companies to raise money on the stock market. The purpose of this paper is to assess whether these policies were effective in stimulating innovations by commercial firms in China.

This study estimates the impact of public biotech research and other policies by employing an econometric model of patenting by commercial firms. It uses a unique data set collected from commercial agribusiness firms for the years 2001, 2004, 2005, and 2006. Addition data were collected from public research institutes and universities and patent data from the Derwent Innovations Index database. It employs four count data models for the empirical analysis.

This study finds a positive impact of public biotechnology (measured by the number of biotech patents of government research institutes and public universities) on commercial innovation measured by the number of patents granted to the commercial firms. As expected the firm’s research expenditure and having their own R&D center (as opposed to contracting R&D or no R&D investment at all) have a positive and statistically significant effect on the number of patents granted. The impacts of public R&D investment spending have no statistically significant effect on commercial innovation. Multi-national firms and publicly traded firms have fewer patents than their counterparts suggesting that policies to encourage multi-nationals and financing through stock markets had no impact on innovation.

This study is one of the first studies to untangle the relationship between government policies and innovation by commercial agricultural research output and public R&D investment and biotechnology. The main findings suggest that simply increasing research money to public research does not increase commercial innovations, but moving resources to the development patentable biotech does improve commercial research productivity. The results also suggest that policies to increase commercial research will also increase innovation. These could include strengthening the legal framework and institutional resources for public institutes to the protection and enforcement of intellectual properties.

The aim of this paper is to describe and evaluate the use of a five‐step foresight process and the application of scenario methods to grasp the range of future alternatives that might confront researchers and research managers in European metrology research institutes. The sector is to be examined as a part of a larger study that aims to reflect on the potential future roles for the public research institutes, in several sectors (the other sectors in the study included civil space, plant science, geosurveys, and marine), towards the development of the European Research Area (ERA).

The paper illustrates how scenario methods were used to, first, serve as a basis for policy recommendations for the field of European metrology research institutes and, second, help experts and stakeholders to network and actively discuss a shared vision of the future of the field.

This case demonstrates the need for proactive strategic management which goes well beyond the institutional boundary, into national policy and European decision making. As other areas of European research begin to think about the importance of European cooperation, lessons can be drawn from the experience of this particular sector. The process of looking forward took on board the political context and allowed participants and the researchers to think beyond these boundaries.

Although this is a pioneering study, there is a danger that some inputs may not have been captured. The results build on the input of a limited number of experts only and on the literature available in the public domain. There were few participants discussing the future of a vast field of research and this may mean that important input has not been captured. Time limitations in the workshops necessarily limit the scope for experts and policy makers to engage with the concepts. Follow‐up activities based on the research outputs are required for the findings to go forward.

Bringing together different stakeholders for shaping a shared vision through scenario workshops led to rich interactions and creative thinking. The workshops created a space for experts to consider policy options for reforming and making better use of the institutes in building the ERA.

Using scenario workshops for foresight research results as an opportunity for stakeholders to visualise different futures for metrology research within Europe. The public research institute sector tends to be more generally under‐studied as a component of modern innovation systems. We evaluate and show that the foresight process is an appropriate methodology to look at what is inherently a political process at the implementation level.

The purpose of this paper is to analyse differences in overall job satisfaction and specific job domain satisfaction among PhDs employed in different sectors four years after completing their doctorate degrees. The author take job satisfaction as a comprehensive proxy of perceived job quality. The author draw on data from two successive cohorts of PhD graduates from public universities of Catalonia (Spain).

First, the author estimate covariate-adjusted job satisfaction differentials for PhD holders employed in different employment sectors, namely: university, research institutes, public sector (government and public administration) and private sector. A stepwise inclusion of job-related covariates enables appreciating the underlying mechanisms that that generate the observed job satisfaction differentials across sectors. Second, the author take into account the endogenous sorting of PhDs into different sectors by jointly modelling sector choice and job satisfaction, where the former is assumed to follow a mixed multinomial logit model.

The results indicate that PhD holders employed outside academic and research jobs are more satisfied with the pecuniary facets of their work, but significantly less satisfied with non-monetary aspects of job quality. The selectivity-corrected job satisfaction differentials highlight the importance of self-selection and confirm that PhD holders suffer a penalisation for working in non-academic occupations, thus revealing the existence of “academic rents”.

This is the first paper that presents a systematic and consistent analysis of job satisfaction differentials among PhD holders that work in different types of occupations, taking into account that sector choice is an endogenous variable, potentially related to unobserved traits that affect job satisfaction. The results are rich of policy implications, which are especially relevant in the light of the existing debate regarding the excess of PhD in the labour market of several European Countries and their subsequent risk of underemployment.

Deriving a measure of efficiency of public-funded organizations (primarily not-for-profit organizations) and ranking these efficiency measures have been major subjects of debate and discussion. The purpose of this paper is to evaluate the relative performances of public-funded research and development (R&D) organizations functioning across multiple countries working on similar research streams. The authors use multiple measures of inputs and outputs for this purpose.

The authors use the data envelopment analysis (DEA) as the primary methodology of analysis The keywords highlighting the major research areas in the field of non-metrology, conducted by National Physical Laboratory (NPL), India, were utilized to select the global comparators working on similar research streams. These global comparators were three R&D organizations located in the USA and one each located in Germany and Japan. The relative efficiencies of the organizations were assessed with the following output variables – external cash flow, and the numbers of technologies transferred, publications and patents; and the following input variables – amount of grants received from the parent body, and the number of scientific personnel working in these public R&D organizations. The authors follow the output-oriented measure of efficiency at constant return to scale and variable return to scale, along with scale efficiencies.

The performance of NPL, India under multiple dimensions has been evaluated relative to its global comparators – the National Institute for Materials Science, Japan; the National Renewable Energy Laboratory, USA; Fritz Haber Institute of the Max Planck Society, Germany; the National Centre for Atmospheric Research, USA; and the Oak Ridge National Laboratory, USA. The study indicates suggested measures and a set of targets to achieve the best possible performance for NPL and other R&D organizations. In most cases of efficient local but not so efficient global efficiency scores indicate that, on an average, the actual scale of production has diverged from the most productive scale size.

The approach highlights the utilization of the DEA methodology for relative R&D performance assessment of global comparators. The discriminatory analysis has brought into sharp focus the dichotomy between local efficiency and global efficiency scores of these units and issues of scale size and regional disparities. The outcome of this approach is dependent upon correct selection of input and output variables and data availability.

The study results have profound implications for the management of public R&D institutions across nations working on similar-focused research streams, but functioning within different societal, economic, and political contexts.

The present work, being perhaps one of the few multinational studies of relative performance assessment of pubic-funded R&D organizations working on similar research streams, signifies the relevance of such an approach in the field of R&D/innovation management. This has opened up new avenues for further research in this area.

There is growing interest from the global development community in the role of agricultural research and extension (AR & E) systems to achieve development targets. Despite this interest, many smallholders in developing countries continue to lack access to updated agricultural information and reliable services. In an effort to increase the effectiveness, impact, and reach of AR & E programs, many governments have attempted to reform their national systems. The paper aims to discuss these issues.

This paper systematically compares the systems and reforms of AR & E in China and India in order to draw out lessons applicable to developing countries. This paper first reviews the existing literature on AR & E systems and their role in agricultural and economic development. The authors then provide a detailed review and comparative analysis of the reforms and approaches implemented in the AR & E systems of China and India. The authors apply this comparative analysis to draw out lessons that can be applied to inform the reformation of AR & E systems in developing countries.

The authors find that although both countries face similar agricultural development challenges, each took a different approach in the reformation of AR & E to address these challenges. Each country’s approaches had different impacts on the effectiveness of the system. Lessons from the reformation of the AR & E systems in China and India can be used to inform and improve the impact of AR & E in developing countries.

The paper examines two systems together using a set of common indicators and factors. The paper’s value comes from its usefulness in informing future AR & E reforms in other developing countries in order to increase the impact of these reforms on development outcomes.

This chapter focuses on public research as one possible external source of knowledge available for private companies seeking scientific support in relation to product development projects, and analyses inter-organizational relations between public research institutions and innovative firms including enabling conditions for effective knowledge creation in such public-private interactions. Two case studies of product development projects based on sensor technology are used to illuminate how innovation is carried out in such interactions. The chapter concludes with extracting crucial features for successful public-private collaboration on knowledge creation and innovation.