Knowledge growth in university-industry innovation networks – Results from a simulation study
University-industry innovation networks (UIINs) are important agents of innovation, as they bring together the unique profiles of higher education and industry partners. Knowledge growth in these networks does not happen automatically. We analyze the impact of network density and heterogeneity on knowledge growth in UIINs. Knowledge grows through knowledge transfer, spillover, and knowledge innovation. Knowledge growth is a function of each agent's initial knowledge level, network density, and agent heterogeneity. To analyze these correlates of knowledge growth, we use a knowledge growth model based on multiple agents and simulate knowledge growth in a UIIN. Our results show that network density positively influences knowledge growth. Initially, this positive impact increases and then disappears with a further increase in network density. We also find that heterogeneity moderates the relationship between density and knowledge growth. Through the positive moderating effect of its impact on knowledge innovation, it promotes new knowledge generation in the entire innovation network, thus providing a basis for subsequent knowledge transfer. Our study supports and enriches the contingency view of knowledge growth in innovation networks.
Note-taking is an ordinary, common student practice at universities, which is rapidly changing under the influx of electronic technologies for recording and storing audio and visual educational materials. However, little attention has been paid to the actual organization of note-taking. This chapter presents an ethnomethodological study of the real-world orderliness of note-taking. It shows that note-taking is a collaborative production of teachers and students: students take into account the details of teacher’s speech and gestures while teachers adjust their lecturing activities to the visible actions of note-taking students. The analysis, based primarily on the data from lectures for undergraduate students in a Russian university, shows that note-taking practices are interwoven into the choreography of classroom interaction, the local history of student learning, and the knowledge certification practices at universities. The preliminary description of the details of local material practices of note production and usage lays the foundation for the analysis of note-taking as a routinely organized and organizational situated activity.
This article analyses instruments of public policy by which international knowledge transfer takes place. Global scientific potential as a key prerequisite for it is examined in cross-country comparison perspective. Main findings of the study is emerged patterns of technology transfer policy. A hypothesis about positive correlation between the level of intellectual property protection and effective implementation of research and development results is also confirmed in this article.
The main aim of the article is further development of the idea of the key role of international technology transfer in developing countries’ policy. This article argues that it is the transferring of knowledge that prompted technological development, which in turn is the basis of overall development.
Crisis is a burning issue; this is not a phenomenon, which can be conquered forever. Current approach to crisis is an optimized collaboration, which allows for manageable, measurable and predictable software development. Crisis is a new reality to live and work with. The current software development crisis dates back to the 1960s. The root cause of crisis is misbalance between resources and options. Understanding the nature of crisis helps to understand the reasons for the future crises.
This book is a navigator in lifecycle models, methodologies, principles and practices for predictable and efficient software development in crisis, i.e. under rapid requirement changes, resource deficit and other uncertainties. Therefore, the starting chapters suggest the major approaches to software development and their applicability in crisis. Further narration is case-based; it involves large-scale software implementations in different industries and knowledge transfer processes in IT education. The book suggests a set of principles that potentially marry the client’s and the developer’s views of the future software product in order to avoid or to mitigate the crisis.
The book will be helpful for students, postdocs, theorists and practitioners in software development. It suggests approved principles and practices of crisis management for software development.
This is a book about the “how to” of one of the most important aspects of diaspora engagement — leveraging countries’ talent abroad to support development at home. The understanding that the diaspora (emigrants and their descendants who retain ties to their countries of origin or ancestry) can be a critical partner for development has emerged fairly recently, due in large part to the experience of two new global powers — China and India — whose rise to prominence owes much to the contributions of their talent abroad. In the amazingly short span of about 15 years, the importance of the diaspora to development has evolved from a novel and somewhat heretical hypothesis to conventional wisdom. Now it is commonly acknowledged that diasporas can be important, but the path of developing policies and programs to help realize the promise of diasporas has been fraught with frustration and disappointment. Diaspora contributions seem to come spontaneously rather than as a result of policy interventions; they are a matter of serendipity. By focusing on policy interventions that effectively promote diaspora contributions, the book fills an important gap in the literature.
When scientists change jobs, they bring to their new workplace the experience, tacit knowledge and social ties they acquired at their previous workplace. Not only is the level of mobility important when discussing knowledge transfer between academic organizations or between regions, but the topology of a mobility network is also of crucial importance. This study presents a comparison of the structure of internal migration networks for Russian and American physicists, more specifically for scholars working in the field of applied physics. The comparison resulted in the set of hypotheses of how the features of the network are connected to the overall scientific productivity of the system.
During the last decades the number of universities extending their initial education and teaching missions towards the triple helix and knowledge triangle paradigms, e.g. knowledge and technology transfer and innovation has increased substantially. In line with this evolution the term ‘entrepreneurial university’ became increasingly popular however until recently there is hardly a common understanding of ‘entrepreneurial universities’. The main perception of ‘entrepreneurial universities’ rests with a visible and measurable contribution of universities to innovation and entrepreneurship in a broader sense. Although this perception is plausible and convincing it raises many open questions which mainly point to university governance models. The innovation and entrepreneurial university paradigm requires a holistic view on university governance approaches which include the full set of universities missions and respective management routines. In this respect it’s of utmost importance that universities keep a “healthy balance” between their missions. This statement is frequently used in many instances yet thus far there is no clear indication what a “healthy balance” implies. The chapter provides first indications about entrepreneurial university governance and respective management approaches.
The number of university graduates is continuously raising for many years creating an additional supply of highly qualified labor which doesn’t always meet respective demand thus can’t be absorbed fully. This holds especially true for Ph.Ds of which ever more are entering the labor market although the number of academic positions remains stable and also businesses have limited capacities for Ph.Ds. What follows is that entrepreneurial activities become a serious option for tertiary graduates. Namely Ph.D. graduates engaged in establishing companies by means of using state of the art scientific knowledge which they developed at universities thus generating substantial impact of university produced knowledge on the economy and the broader society. Specifically the cognitive base and the founders’ educational background is an important determinant for the success and impact of knowledge-intensive entrepreneurship in general and academic entrepreneurship in particular. The chapter introduces a broader definition of academic entrepreneurship and investigates whether new ventures founded by Ph.D. holders exhibit different characteristics and/or different behavior patterns compared to the rest of the firms established in the same period in Europe.