The role of universities in a network of subsidized R&D collaboration: The case of the biotechnology-industry in Germany

This paper contributes to the growing literature on knowledge network evolution. It provides an analysis of the role universities play in a network emerging from the joint participation of organizations in R&D projects subsidized by public authorities. In addition to theorizing universities’ effect on network formation processes, the paper includes an empirical study identifying the main drivers behind the formation of the subsidized network of R&D collaboration in the German biotechnology industry. We find that universities strongly shape the evolution of the network in the period 2007–2010. They are clearly central knowledge sources and dominate the network as partners in many R&D projects. While knowledge links among universities are an essential part of the network, universities are also able to connect local firms to inter-regional knowledge networks. Accordingly, subsidies for joint R&D support universities in acting as regional gatekeepers and thereby facilitate local and inter-regional knowledge diffusion. © 2017 The Author(s

Factors constraining Farmers’ adoption of new Agricultural Technology Programme in Hambantota District in Sri Lanka: Perceptions of Agriculture Extension Officers

AbstractThis paper examines the major factors constraining the adoption of a newly introduced paddy improvement technology programme by farmers in the Hambantota district, as seen from the perspective of Agricultural extension officers. Further, the adoption pattern of those technological programmes by farmers was analyzed. A structured interview schedule was used to collect data from a purposively selected sample of 30 AI officers. Data was analyzed using the principal factor model with iteration and Varimax rotation. Later, the simple linear regression analysis was done to explain any relationship between the adoption levels of farmers in each of the adoption stages. The results showed that a majority of AI officers perceived that only 40-60 per cent of farmers actually adopted the new technology programme. As for the percentage of farmers who proceeded to adopt each stage of the multi-stage process, the majority of the farmers in the community progressed to the awareness stage but only about 50 per cent of farmers continued until the final adoption stage was reached. Among the factors constraining the adoption could be cited a lack of resources, incompatibility and complexity of new technology, socio-economic and cultural constraints. Inadequacies in extension intervention, technical training and information were the main constraints that compromised the information and knowledge network. Moreover, the Yaya 2 programme was hindered by environmental and economic barriers, poor educational competencies of farmers and weak information links with the other actors of the network. Further, the study was unable to predict any significanct relationship between the adoption levels of farmers in each of the adoption stages. These findings suggest that there is an urgent need for researchers, policy makers and administrators of the extension service to consider these constraints seriously so as to overcome them to increase the adoption rate by farmers of the new paddy technology programme in Hambantota.Keywords: Agricultural Technology, Farmers, Adoption Stages, Adoption, Constraint

Reprint of The new paradigm of economic complexity

Economic complexity offers a potentially powerful paradigm to understand key societal issues and challenges of our time. The underlying idea is that growth, development, technological change, income inequality, spatial disparities, and resilience are the visible outcomes of hidden systemic interactions. The study of economic complexity seeks to understand the structure of these interactions and how they shape various socioeconomic processes. This emerging field relies heavily on big data and machine learning techniques. This brief introduction to economic complexity has three aims. The first is to summarize key theoretical foundations and principles of economic complexity. The second is to briefly review the tools and metrics developed in the economic complexity literature that exploit information encoded in the structure of the economy to find new empirical patterns. The final aim is to highlight the insights from economic complexity to improve prediction and political decision-making. Institutions including the World Bank, the European Commission, the World Economic Forum, the OECD, and a range of national and regional organizations have begun to embrace the principles of economic complexity and its analytical framework. We discuss policy implications of this field, in particular the usefulness of building recommendation systems for major public investment decisions in a complex world

Growing with the market : how changing conditions during market growth affect formation and evolution of interfirm ties

Research Summary: Market conditions are known to matter for firm performance and growth. This study explores how changing levels of uncertainty and competition affect interfirm ties of entrepreneurial firms as markets transition from nascent to growth stage. Tracing 6 entrepreneurial game publishers during the growth stage of the US wireless gaming market, the findings reveal that in a growth stage market, as uncertainty decreases, certain ties of entrepreneurial firms are terminated. First, existing partners may cut ties and become competitors after entering the market directly. This is a “winner's curse” as more successful firms are more likely to entice their partners to enter the market directly. Second, ties may be terminated as prominent firms that are “overwhelmed” with too many partners cut ties with low to mediocre performance while their remaining partners enter a positive spiral of tie strength and performance. Finally, as uncertainty decreases, new firms may enter the market as competitors to prominent firms. While entrepreneurial firms with high and low performing ties to prominent partners may find ties with these new entrants attractive, those with mediocre ties to few prominent partners find this move too risky and wait for a first mover to legitimate it. Overall, the findings show that changing levels of uncertainty and competition in growth stage markets can have different consequences for firms due to heterogeneity in their ties and power relative to partners. The findings provide several contributions to literature regarding the relationship between interfirm ties, firm performance, and market evolution. Managerial Summary: Based on interviews at 6 entrepreneurial game publishers in the US and their partners, this study shows how changing levels of uncertainty and competition in growing markets can have different consequences for firms based on the different types of alliances in their portfolio and their power relative to partners. The findings highlight the importance of managing partners differently based on alliance type and goal of the partner. They advocate remaining flexible in alliance management as information asymmetries, intentions and bargaining power of partners can change and lead to abrupt alliance dissolution. They show that alliance portfolio management goes beyond a firm's capability of managing individual alliances, and provide a tool for managers to evaluate their alliance portfolios and take the necessary precautions

Using Affiliation Networks to Study the Determinants of Multilateral Research Cooperation Some empirical evidence from EU Framework Programs in biotechnology

This paper studies multilateral cooperation networks among organizations and work on a two-mode representation to study the decision to participate in a consortium. Our objective is to explain the underlying processes that give rise to multilateral collaboration networks. Particularly, we are interested in how heterogeneity in organizations' attributes plays a part and in the geographical dimension of this formation process. We use the data on project proposals submitted to the 7th Framework Program (FP) in the area of Life sciences, Biotechnology and Biochemistry for Sustainable Non-Food. We employ exponential random graph models (p* models) (Frank and Strauss, 1986 ; Wasserman and Pattison, 1996) with node attributes (Agneessens et al., 2004), and we make use of extensions for affiliation networks (Wang et al., 2009). These models do not only enable handling variability in consortium sizes but also relax the assumption on tie/triad independence. We obtained some preliminary results indicating institutional types as a source of heterogeneity affecting participation decisions. Also, these initial results point out that organizations take their potential partners' participations in other projects into account in giving their decision ; organizations located in the core European countries tend to participate in the same project ; the tendency to preserve the composition of a consortium across projects and the tendency of organizations with the same institutional type to co-participate are not significant