Réjean Landry

Does social capital determine innovation? To what extent?

Abstract This paper deals with two questions: Does social capital determine innovation in manufacturing firms? If it is the case, to what extent? To deal with these questions, we review the literature on innovation in order to see how social capital came to be added to the other forms of capital as an explanatory variable of innovation. In doing so, we have been led to follow the dominating view of the literature on social capital and innovation which claims that social capital cannot be captured through a single indicator, but that it actually takes many different forms that must be accounted for. Therefore, to the traditional explanatory variables of innovation, we have added five forms of structural social capital (business network assets, information network assets, research network assets, participation assets, and relational assets) and one form of cognitive social capital (reciprocal trust). Based on the survey data administered from April to June 2000 to 440 manufacturing firms of diverse industries in a region in the southwest of Montreal, we have found that 68.5% of the firms have developed product or process innovations during the 3 years preceding the survey. Assuming that innovation is not a discrete event but a complex process, we have modeled the decision to innovate as a two-stage decision-making process: in the first stage, the firms deal with the decision about whether to innovate or not whereas, at the second stage, the firms that have decided to innovate must make a decision about the degree of radicalness of the innovation to undertake. In a context where empirical investigations regarding the relations between social capital and innovation are still scanty, this paper makes contributions to the advancement of knowledge in providing new evidence regarding the impact and the extent of social capital on innovation at the two decision-making stages considered in this study. Regarding the decision to innovate or not that firms must initially make, we have provided strong evidence that diverse forms of social capital influence this decision and, more importantly, that marginal increases in social capital, especially in social capital taking the forms of participation assets and relational assets, contribute more than any other explanatory variable to increase the likelihood of innovation of firms. As for the decision to be made at the second stage concerning the magnitude of radicalness to bring in the development of new product or process innovations, this paper contributes to the advancement of knowledge by supplying the strongest evidence that diverse forms of social capital determine the radicalness of innovation, and more importantly, that social capital taking the form of research network assets contributes more than any other explanatory variable to explain the radicalness of innovation. The second variable that exerts the strongest impact on the radicalness of innovation is the number of different advanced technologies employed by firms for production.

New Evidence on Instrumental, Conceptual, and Symbolic Utilization of University Research in Government Agencies:

This article addresses three questions: What is the extent of instrumental, conceptual, and symbolic use of university research in government agencies? Are there differences between the policy domains in regard to the extent of each type of use? What are the determinants of instrumental, conceptual, and symbolic use of university research? Based on a survey of 833 government officials, the results suggest that (1) the three types of use of research simultaneously play a significant role in government agencies, (2) there are large differences between policy domains in regard to research utilization, and (3) a small number of determinants explain the increase of instrumental, conceptual, and symbolic utilization of research in a different way.

Sources of information as determinants of novelty of innovation in manufacturing firms: evidence from the 1999 statistics Canada innovation survey

Abstract This paper uses the data of the 1999 Statistics Canada Innovation Survey to address a crucial question for the understanding of novelty of innovation in the manufacturing sector: what are the effects of sources of information on novelty of innovation in manufacturing firms? The study considers the impact of four categories of sources of information that firms use to develop or improve their products or manufacturing processes: internal sources, market sources, research sources, and generally available sources of information. The two most important results of this study are that, compared to firms that have introduced innovations that were premieres for them, firms that have developed innovations considered as world premieres or national premieres are more likely to: (1) use a larger variety of sources of information, and (2) more especially, to use a much larger variety of research sources to develop or improve their products or processes. The policy implications deriving from these results are very important: novelty of innovation could be increased in developing policies promoting stronger linkages between firms and government laboratories and universities.

The Extent and Determinants of the Utilization of University Research in Government Agencies

This article addresses three questions: To what extent is university research used in government agencies? Are there differences between the policy domains in regard to the extent of use? What determines the use of university research in government agencies? The data analysis is based on a survey of 833 government officials from Canadian government agencies. Comparisons of the magnitude of uptake of university research show large and significant differences across policy domains. The results of the multivariate regression analyses show that the characteristics of research and the focus on the advancement of scholarly knowledge or on users’ needs do not explain the uptake of research. Users’ adaptation of research, users’ acquisition efforts, links between researchers and users, and users’ organizational contexts are good predictors of the uptake of research by government officials.

Climbing the Ladder of Research Utilization Evidence from Social Science Research

In this article, the Knott and Wildavsky stages of knowledge utilization are considered separately and compared with the previous stage to find factors explaining why researchers are able to climb up the ladder of knowledge utilization from the echelon of no transmission to transmission, then to cognition, reference, effort, influence, and application. The results suggest that there are barriers to climbing and that these barriers are primarily located between the stage of no transmission and the stage of transmission. These results carry theoretical and policy implications that are explored in the last part of the article.

The knowledge-value chain: a conceptual framework for knowledge translation in health

This article briefly discusses knowledge translation and lists the problems associated with it. Then it uses knowledge-management literature to develop and propose a knowledge-value chain framework in order to provide an integrated conceptual model of knowledge management and application in public health organizations. The knowledge-value chain is a non-linear concept and is based on the management of five dyadic capabilities: mapping and acquisition, creation and destruction, integration and sharing/transfer, replication and protection, and performance and innovation.

The impact of transaction costs on the institutional structuration of collaborative academic research

Abstract This paper addresses a crucial question: Which factors explain the choices of institutional structures made by university researchers? The main findings of the study point to the central importance of publication assets, coordination costs, additional funding, and membership in the disciplines of engineering, natural sciences and health sciences as factors affecting the choices of institutional structures university researchers make when they become involved in collaborative research projects. On the other hand, the number of years researchers have been involved in collaborative research, the capture of additional publications linked to involvement in collaborative research, the importance of administrative burdens and the time required to coordinate collaborative research were demonstrated to be unimportant in explaining these choices.

Patterns of innovation in knowledge-intensive business services

This article develops indicators to capture six forms or types of innovation in knowledge-intensive business services (KIBS): product, process, delivery, strategic, managerial and marketing innovations. It also proposes a conceptual framework inspired by the knowledge-based theory using different categories of knowledge assets as explanatory variables. Then, based on data of 1124 small and medium KIBS, multivariate probit regression models are estimated. The results show that product, process, strategic, managerial and marketing innovations are complementary. The results also show that the different forms of innovation are explained by different explanatory variables.

The Extent and Organizational Determinants of Research Utilization in Canadian Health Services Organizations

This article focuses on the use of research by managers and professionals in Canadian health service organizations (ministries, regional authorities, and hospitals). The results of the analysis of the 928 responses underlined the important role that the absorption, learning, culture, and linkage mechanism variables played in determining utilization. General linear regression and regression by organizational type confirmed the importance of the linkage mechanisms, research experience, unit size, and research relevance for the users. The emphasis could thus be put, according to the organization type, on research experience, linkage mechanisms, unit size, research culture, research relevance for the users, and research activities. The article also underscores the individual and organizational contextual factors’ high degree of significance by expressing these contextual factors as organizational variables and by adopting a more organizational perspective of knowledge utilization analysis.

“The Triple-Helix collaboration: Why do researchers collaborate with industry and the government? What are the factors that influence the perceived barriers?”

This paper addresses four questions: What is the extent of the collaboration between the natural sciences and engineering researchers in Canadian universities and government agencies and industry? What are the determinants of this collaboration? Which factors explain the barriers to collaboration between the university, industry and government? Are there similarities and differences between the factors that explain collaboration and the barriers to collaboration? Based on a survey of 1554 researchers funded by the Natural Sciences and Engineering Research Council of Canada (NSERC), the results of the multivariate regressions indicate that various factors explain the decision of whether or not to collaborate with industry and the government. The results also differed according to the studied fields. Overall, the results show that the variables that relate to the researcher’s strategic positioning, to the set-up of strategic networks, to the costs related to the production of the transferred knowledge and transactions explain in large part the researcher’s collaboration. The results of the linear regression pointed to various factors that affect collaboration with researchers: research budget, university localization, radicalness of research, degree of risk-taking culture and researcher’s publications. Finally, the last part of the paper presents the results, and what they imply for future research and theory building.