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In the modern knowledge-intensive economy, a nation’s competitiveness depends on the ability of its constituent firms to innovate. Extant research in national systems of innovation highlights institutions and public policies toward innovation as key determinants that affect firms’ innovation activities. This paper aims to widen the investigation by arguing that co-inventor connectivity allows firms to access the most tacit knowledge within global innovation systems. Therefore, it is one of the key factors that underpin a nation’s ability to develop and sustain its competitiveness.

Using a data set of 406,168 patents from US Patent and Trademark Office during the period of 1975-2004, this study analyzed the Japanese system of innovation through co-inventor networks.

Surprisingly, the authors found that compared to other advanced countries such as Germany and Denmark, the Japanese innovation system is quite closed.

The dimension of tacit knowledge is crucial in the current environment of rapid cycle time, short product lifespans and increasing emphasis on exploratory innovation. Hence the authors speculate that closedness to global innovation systems could be one of the reasons why many of Japan’s traditionally powerful multinational enterprises exhibit weak performance in recent years.

The purpose of this paper is to explore how firms achieve competitiveness by implementing design-driven innovation.

This paper is a detailed longitudinal analysis of the design innovation underpinning the Norwegian furniture industry. Using a data set spanning 40 years (1976-2015) of design patents by both Norwegian firms and inventors, the authors map the coinventor connectivity of the design-innovation clusters of Norway, both within the country and with foreign locations.

Using network analysis, the authors find that most of the rise of co-inventor connectivity within Norwegian furniture industry’s design innovation is occurring within the country. More surprisingly, the leading firms and star inventors are less likely to collaborate internationally, i.e. they are characterized by greater innovative “lock-in”.

The exploration of all the potential reasons for the “lock-in” in design innovation of the Norwegian furniture industry is beyond the scope of this paper. A particularly interesting avenue for future research would be to compare the coinventor connectivity of traditional sectors like furniture with more high technology sectors within Norway.

By assessing a detailed and historical context of the evolution of Norwegian furniture industry, the paper provides a fairly comprehensive study of design innovation as a source of firms’ competitiveness, which has been rarely explored. The authors suggest that innovative “lock-in” may be more likely to arise in the traditional sectors of an economy and the forces may be particularly strong for those firms and individuals that have the highest domestic connectedness and status.

The purpose of this paper is to identify major developments in corporate innovation. The author focuses on the behavioral differences between MNEs from developed and emerging markets in the way they locate their R&D activities.

With the help of descriptive statistics, the paper identifies major trends in the global distribution of innovative activity. The novel source of patent statistics, Patent Cooperation Treaty (PCT) applications, is used as a proxy for innovative effort by leading MNEs. This paper is among the first attempts to analyze the global geography of innovation based on PCT statistics.

The analysis underscores differences in the patenting activities of MNEs from emerging and advanced markets. It confirms that innovative activity by major MNEs remains largely home-based, which contradicts the premise of the global nature of corporate innovation. At the same time, the growing importance of China as a research center attracts MNEs from a variety of developed markets. Emerging MNEs also file patent applications domestically. Most Chinese R&D subsidiaries of MNEs from advanced economies in our sample do not pursue technological specialization, as they produce patents in the same technological areas as the corporate headquarters or other subsidiaries.

A number of assumptions about the innovation geography of major MNEs were empirically tested. An attempt was made to fill the gaps in our understanding of innovation strategies pursued by MNEs in emerging markets. The author uses the concept of MNEs as meta-integrators to explain the observed dynamics. Its explanatory power is more convincing as applied to our data than the concept of national systems of innovation.

The purpose of this study is to assess the effect of institutional distance on national innovation systems.

This study uses social network analysis to analyze the connectivity between national systems of innovation. A regulative distance index is constructed by coding the European Commission progress reports and using weights to account for relevance to research and innovation.

Reductions in institutional distance (proxied by regulative distance) increase international innovation connectivity between national systems of innovation. More importantly, it leads to increase in both the complexity and resilience of innovation connectivity between countries.

This study provides fresh evidence on the pathways through which institutions affect international business systems. Policy harmonization has strong effects on firm-level corporate strategy.

This paper examines the role of co-inventor collaboration with China and/or the USA on a country's increase in centrality in global knowledge networks. It also explores the role of specific institutional factors – corruption and intellectual property rights (IPR) protection – on this relationship.

In the study, co-inventor data from the United States Patent and Trademark Office (USPTO) applications have been used to construct networks of technological knowledge collaboration at the country level over the years 2002–2015. Using eigenvector centrality as the dependent variable, the study uses fixed effect regression analyses on a panel of 171 countries, contributing to recent debates on knowledge networks and international cooperation.

Building on research in economic development, innovation and social network theory, this research finds that co-patenting with Chinese inventors is positively related to a country's centrality in global knowledge networks and that this relationship is negatively moderated by collaboration with the current most central knowledge network – namely that of the USA – suggesting a substitution effect. It also finds a partial substitution between institutional factors, IPRs protection and transparency, and collaboration with China on a country's knowledge centrality.

Regarding policymakers, the findings can be used to encourage international collaboration for increased access to new sources of knowledge that fosters innovation while keeping a close eye on local institutions, especially emerging economies that want to increase their international knowledge network centrality.

This study creates a unique panel data set and extends the social networks approach in international business literature, focusing on institutional characteristics related to participation in knowledge networks.

Social network theory and analytic tools have been increasingly used to examine the interaction between science and technology. Recently, researchers have paid attention to the role of publishing inventors, that is, individuals bridging the collaborative networks between authors (co-authorship network) and inventors (co-invention network). Building on this research, we study how publishing inventors’ structural position in the joint co-authorship and co-invention network affects the quality of the inventions to which they contribute. Specifically, we identify publishing inventors who play a pivotal role in holding the two networks together: their removal not only increases the network fragmentation but also disconnects the joint co-authorship and co-invention network. We define these publishing inventors as cutpoints and find them to contribute to inventions of greater quality. We situate the analysis within the context of the emerging field of nanotechnology. The theoretical and managerial implications of the results are discussed.

The following article is a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and personal experience of a prominent, robotic industry PhD-turned entrepreneur regarding his pioneering efforts of bringing technological inventions to market. The paper aims to discuss these issues.

The interviewee is Dr James Kuffner, CEO at Toyota Research Institute Advanced Development (TRI-AD). Kuffner is a proven entrepreneur and inventor in robot and motion planning and cloud robotics. In this interview, Kuffner shares his personal and professional journey from conceptualization to commercial realization.

Dr Kuffner received BS, MS and PhD degrees from the Stanford University’s Department of Computer Science Robotics Laboratory. He was a Japan Society for the Promotion of Science (JSPS) Postdoctoral Research Fellow at the University of Tokyo where he worked on software and planning algorithms for humanoid robots. He joined the faculty at Carnegie Mellon University’s Robotics Institute in 2002 where he served until March 2018. Kuffner was a Research Scientist and Engineering Director at Google from 2009 to 2016. In January 2016, he joined TRI where he was appointed the Chief Technology Officer and Area Lead, Cloud Intelligence and is presently an Executive Advisor. He has been CEO of TRI-AD since April of 2018.

Dr Kuffner is perhaps best known as the co-inventor of the rapidly exploring random tree (RRT) algorithm, which has become a key standard benchmark for robot motion planning. He is also known for introducing the term “Cloud Robotics” in 2010 to describe how network-connected robots could take advantage of distributed computation and data stored in the cloud. Kuffner was part of the initial engineering team that built Google’s self-driving car. He was appointed Head of Google’s Robotics Division in 2014, which he co-founded with Andy Rubin to help realize the original Cloud Robotics concept. Kuffner also co-founded Motion Factory, where he was the Senior Software Engineer and a member of the engineering team to develop C++ based authoring tools for high-level graphic animation and interactive multimedia content. Motion Factory was acquired by SoftImage in 2000. In May 2007, Kuffner founded, and became the Director of Robot Autonomy where he coordinated research and software consulting for industrial and consumer robotics applications. In 2008, he assisted in the iOS development of Jibbigo, the first on-phone, real-time speech recognition, translation and speech synthesis application for the iPhone. Jibbigo was acquired by Facebook in 2013. Kuffner is one of the most highly cited authors in the field of robotics and motion planning, with over 15,000 citations. He has published over 125 technical papers and was issued more than 50 patents related to robotics and computer vision technology.

This chapter presents a framework for evaluating commercialization strategies available to start-up innovators operating in high-technology industries. The chapter uses a stream of research relating to three major considerations for commercialization strategies: intellectual property rights’ strength; requisite complementary assets; and licensing/alliance transaction costs. The authors describe the options available to the innovator and explain how the attractiveness of alliances increases with the strength of the innovator's IPR position and the cost of acquiring complementary assets. The four distinct commercialization environments defined by these factors then are related to the likelihood an innovator will commercialize an invention through cooperation or competition. The chapter then applies the framework to five case studies of start-up innovators in a major research university's business incubator.

The purpose of this paper is to understand the relationship between foreign direct investment (FDI) and cities and how the relationship between multinational enterprise (MNEs) and local firms facilitates regional cleantech innovation.

Using a combination of social network analysis, regression analysis and interview analysis, the authors map and analyze a cleantech cluster to investigate the relationship between MNEs and local firms and the resulting effects on cleantech innovation.

The findings of the paper indicate that FDI plays a crucial role in cities and their local clusters by acting as a broker between a diverse set of actors: firms, institutions, universities, financial and other intermediaries. Additionally, connectedness to MNEs improves local firms’ innovation.

This study is not free of limitations, mainly, because of the aspects that the analysis is based on one city and one cleantech hub. Further research could verify whether the findings of this paper hold in other cities and industries.

The findings, elucidating the connection between MNEs and local firms, as well as MNEs being important brokers in the local system, and the resulting impact, will help policymakers to take appropriate actions and support the local cleantech innovation. It is important to not only attract high-quality FDI into local clusters, but also to create and support collaborations between foreign firms and local actors, because colocation does not automatically leads to positive spillovers and a lot depends on how MNEs are integrated into the local milieu.

The present paper argues that FDI plays an important role in local cleantech innovation and it is important to integrate foreign firms in local social networks.

The authors analyze FDI patterns in an emerging industry at the city and local cluster level using a unique database containing the information on relationships between MNEs and local firms, as well as interview data.

To better understand contributing factors and mediating mechanisms related to team dynamics in isolated, confined, and extreme (ICE) environments.

Literature review.

Our primary focus is on cohesion and adaptation – two critical aspects of team performance in ICE environments that have received increased attention in both the literature and funding initiatives. We begin by describing the conditions that define ICE environments and review relevant individual biological, neuropsychiatric, and environmental factors that interact with team dynamics. We then outline a unifying team cohesion framework for long-duration missions and discuss several environmental, operational, organizational, and psychosocial factors that can impact team dynamics. Finally, we end with a discussion of directions for future research and countermeasure development, emphasizing the importance of temporal dynamics, multidisciplinary integration, and novel conceptual frameworks for the inherently mixed work and social setting of long-duration missions in ICE environments.

A better understanding of team dynamics over time can contribute to success in a variety of organizational settings, including space exploration, defense and security, business, education, athletics, and social relationships.

We promote a multidisciplinary approach to team dynamics in ICE environments that incorporates dynamic biological, behavioral, psychological, and organizational factors over time.