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The purpose of this paper is to build possible future scenarios for indoor connectivity in a venue such as a university campus and build alternative value network configurations (VNCs) defining different local network deployment options, focused on the Finnish telecom market.

In this paper, Schoemaker’s scenario planning method (Schoemaker, 1995) is used to construct future scenarios and the VNC method of Casey et al. (2010) is used to build alternative VNCs. The paper studies the Aalto University campus network for current end-user data usage demand and the existing technology used in meeting the end-user needs and forecasts the demand for the next five years to understand the need for 5G.

This research concludes that with the provision of local spectrum licenses, there is an opportunity for venue owners to take the role of 5G local operator on the venue premises. Furthermore, it enables venue owners to collaborate with the incumbent mobile network operators (MNOs) in a neutral host model and provide venue-specific connectivity services.

A detailed economic assessment for the network deployment in the campus is considered for future study.

Considering the provision for local spectrum licenses, this paper has taken a unique attempt in identifying the future scenarios for local 5G network operations. It provides a strategic direction for the venue owners in adopting 5G technology and whether to make 5G or buy 5G from MNOs.

SESSION I: TECHNOLOGY TRANSFER

We conjecture that there are five stages to academic entrepreneurship: motivation, governance, selection, competition, and performance. The process of academic entrepreneurship originates with the motivation of faculty, universities, industry, and government to commercialize knowledge that originates within the university setting. The model conceptualizes that the governance and competitiveness of the commercialized knowledge moderate the mode selection and ultimately the performance of academic entrepreneurship. The conceptual and empirical support for the model are derived from a theory-driven synthesis of articles related to academic entrepreneurship.

This study aims to use university patent and regional economic data to investigate the current and future impact of university innovation, measured using multiple variables, on real economic productivity.

Using university patent and regional economic data, regression models are built to determine the impact of university innovation on current and future regional economic performance.

The findings demonstrate that university innovation generates sustained impact on economic performance, but by itself, is insufficient in driving economic performance; and different measures of university innovation have different degrees of impact. University innovation makes up a small, albeit significant, proportion of the drivers of economic performance.

There are four implications. First, developing countries can leverage university–industry collaborations for economic growth. Second, innovation management must encourage continuous university innovation for sustainable economic productivity. Third, Science, Technology, Engineering and Mathematics (STEM) and non-STEM innovation warrant attention. Fourth, successful innovation policies should be tailored to their unique societal contexts.

Although innovation is a driver of economic performance, there is a lack of studies that focus specifically on universities, operationalize performance using gross domestic product measures and take into account impact lags by exploring universities’ current and future impacts.

We examine the origins, acceptance, and spread of academic entrepreneurship in the biomedical field at Stanford, a university that championed efforts at translating basic science into commercial application. With multiple data sources from 1970 to 2000, we analyze how entrepreneurship became institutionalized, stressing the distinction between factors that promoted such activity and those that sustained it. We address individual attributes, work contexts, and research networks, discerning the multiple influences that supported the commercialization of basic research and contributed to a new academic identity. We demonstrate how entrepreneurship expands from an uncommon undertaking to a venerated practice.

Since the 1980s, US universities have greatly increased attention given to innovation and entrepreneurship out of a genuine commitment to enhancing American competitiveness. Although regional innovation and entrepreneurship can be enhanced by universities in multiple ways, the primary metrics of “success” remain patenting, licensing rates, and university spin-outs. While these metrics can be a useful proxy for the entrepreneurial university they tend to understate the many important contributions universities, including non-research intensive universities, make to their regional economies. In this chapter, we introduce a framework of capabilities that are essential to nurturing ecosystems of innovation and entrepreneurship at the regional level. We then describe the varied ways in which universities can support the development of these capabilities. Finally, we provide a framework of metrics, which can more comprehensively capture the value that universities represent to innovation and entrepreneurship in their regions.

With the growing climate problem, it has become a consensus to develop low-carbon technologies to reduce emissions. Electric industry is a major carbon-emitting industry, accounting for 35% of global carbon emissions. Universities, as an important patent application sector in China, promote their patent application and transformation to enhance Chinese technological innovation capability. This study aims to analyze low-carbon electricity technology transformation in Chinese universities.

This paper uses IncoPat to collect patent data. The trend of low-carbon electricity technology patent applications in Chinese universities, the status, patent technology distribution, patent transformation status and patent transformation path of valid patent is analyzed.

Low-carbon electricity technology in Chinese universities has been promoted, and the number of patents has shown rapid growth. Invention patents proportion is increasing, and the transformation has become increasingly active. Low-carbon electricity technology in Chinese universities is mainly concentrated in individual cooperative patent classification (CPC) classification numbers, and innovative technologies will be an important development for electric reduction.

This paper innovatively uses valid patents to study the development of low-carbon electricity technology in Chinese universities, and defines low-carbon technology patents by CPC patent classification system. A new attempt focuses on the development status and direction in low-carbon electricity technology in Chinese universities, and highlights the contribution of valid patents to patent value.

Both Marianne Jelinek's chapter and this commentary examine the legal, economic, and policy environments for university–industry technology transfer and the management of intellectual property. To complement Jelinek's framework, this commentary offers an alternative conceptual framework that incorporates the role of individual scientists and also acknowledges repeat transactions that form relationships between university and industry partners.

We extend the literature on scientific discovery and commercialization by examining entrepreneurial action by university-based scientists. Specifically, we investigate the decision process and the paths to commercialize academic technologies. University-based technology transfer involves multiple stakeholders with competing interests; hence, we believe researchers should apply a multilevel theoretical lens, which starts with the disclosure of discoveries made by scientists in their labs. We build a multilevel framework that views the scientists’ choice to first disclose viable discoveries to pursue entrepreneurial action as a function of three factors: (i) a scientist's rent orientation, (ii) a university's rent doctrine, and (iii) the rent doctrine of the scientific field in which the scientist conducts research. We suggest that commercial disclosure most often occurs when there is alignment between these three factors. Lastly, we advance an agenda for future empirical research by developing specific propositions about the key constructs and relationships concerning university-based entrepreneurial action.

The purpose of this paper is to identify whether the entrepreneurial activities of universities in the UK can be statistically grouped together.

This paper is performing a principal component analysis (PCA) of the 2009/2010 UK Higher Education Business and Community Interaction Survey (HE-BCIS) data for the third stream activities of universities in the UK.

The PCA of the 144 included institutions identified four groups of entrepreneurial activities being engaged in by universities in the UK. Three of the four groups were related to spin-offs, labelled as “Staff Spin-off Activity”, “Non-HEI Owned Spin-Off Activity” and “Graduate Start-up Activity”. The remaining factor has been named “University Knowledge Exploitation Activity (UKEA)” and encompasses a wide range of university knowledge creation, exchange and exploitation activities.

The research indicates, through a ranking system for each university for the various groups of entrepreneurial activities, that universities are often entrepreneurial in just one or two of the groups of entrepreneurial activities identified by the PCA. Identifying what is causing those differences is required to further understand why we see this variation across the HE sector.

The use of a PCA to identify groups of entrepreneurial activities is a novel approach. Typically studies use a select few indicators, such as spin-offs or patents to analyse the entrepreneurial activities of universities. This study uses PCA to group together statistically related activities which can then be used to identify what is driving these groups of activities in future studies.