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Collaboration with universities is an important innovation strategy for enterprises. However, currently very little research has focused on how such university-industry collaborative innovation activities should be managed. The paper aims to discuss this issue.

This paper introduces the university-industry collaborative innovation practices of Zhejiang NHU Company in China. By using a case study as the method, this paper aims to illustrate the mechanism of university-industry collaborative innovation and how to manage the collaborative innovation activities efficiently.

Zhejiang NHU Company established a university-industry collaborative innovation link through three innovation platforms: the technology R&D center, the ZJU-NHU joint-research center, and the national engineer center. Zhejiang NHU Company manages its collaborative relationships with universities through this innovation network.

NHU Company managed the collaborative relationship efficiently with the institutions, representing an effective degree of university-industry collaborative innovation management.

This paper seeks to provide evidence that the long‐term success of capital‐intensive technology products requires continuous integration of innovations in the form of new features and capabilities that meet broad user preferences.

Magnetic resonance imaging (MRI) research centers, which represent lead users in this industry, are used as a case study. An online survey was developed to identify and rank the main factors behind brand switching, then secondary sources are used to confirm the research results.

A multi‐faceted approach to data collection is used to show that product innovations in the form of specific features are the main motive for switching to a new technology, consistent with the expectation that lead users seek technologies that maintain leading‐edge positions.

There are limitations to generalizing from this case study to other industries. The findings can be generalized to industries with similar characteristics, such as aircraft and heavy machinery manufacturing. In practice, managers should find a reliable strategy to assess factors underpinning brand switching that is unique to their industry. Determining the main factors behind switching is a critical matter when defining the appropriate strategy to keep their market share from eroding.

The literature reports considerable research that investigates brand switching. However, most of it focuses on highly competitive markets for consumer goods. This paper addresses a paucity of knowledge about what influences lead users of capital‐intensive products to switch between brands.

This article aims to introduce the Kellogg College Centre for Research into Assistive Learning Technologies, which is a new research centre based at the University of Oxford.

The article briefly sets the context of the centre within the current literature, and outlines the centre's current plan of work. The centre has funding for two years to look into new developments in the application of digital technologies to support the learning and educational achievement of young people in school and higher education with a range of specific learning difficulties. This will begin with a substantial research review, as well as in‐depth studies of current initiatives in secondary schools and higher education.

The findings from the research review will aim to be published and disseminated to the research community within the first two years of the centre's life.

It is hoped that this centre will be able to contribute to the existing research on the uses of a range of assistive technologies in educational settings.

The process by which technological innovations developed in one institution are discovered, acquired, and adapted for use by another institution.

The purpose of this paper is to characterize the knowledge flow between companies and universities based on national and sectoral systems of innovation perspective. It is argued here that high-tech sectors can describe a knowledge flow mainly based on scientific research, while sectors with lower technological impact may establish relations based on technical needs.

A case study research was conducted in the horticulture and aerospace sectors in Brazil. Thirteen interviews were performed with chief executive officer’s and academic researchers from both fields.

Results demonstrated differences in technology development and knowledge infrastructure when comparing both sectors, reflecting the impacts of national and sectoral systems of innovation. The horticulture sector presented technological limitations due to restricted eating habits, logistics, knowledge development at universities and difficulties on the establishment of partnerships between local companies and Embrapa, the main public research centre. Such restrictions limit academic activities while companies look for research partnerships abroad. Space industry also has limited technological development due to international embargoes and lack of research alignment between companies and universities. Companies end up developing research activities internally, usually funded by governmental tenders.

The horticulture sector has limitations, as it is not the main agriculture area in science and technology applications. Future studies may analyse areas like soy beans, sugar cane and coffee, which may present differences specially regarding sectoral systems of innovation.

The finding of this paper may influence the review of sectoral innovation policies, improving the development of local research activities which may be a source of valuable knowledge to companies. It also demonstrates the importance of the knowledge flow to improve sector’s technology level.

The purpose of this paper is to develop a model to help RTC managers in the technological and R&D decisions and bets so as to change the perceived value of the R&D projects of the centres. To achieve this aim, the paper investigates the different models for the valuation of intangible assets.

The paper presents a single case study and focusses on creating a useful IC valuation model for the centre, using existing methods and frameworks in IP and IC fields.

The paper presents a new method for the calculation of IC applied to a RTC in ICT sector, in which the valuation of the IP is included (software libraries) and the KM and the peculiarities of these kinds of organisations are explained. The model is based on Edvinsson and Malone (1997) and Leitner (2005).

Although the use of a single case provides rich data, it is also limits the generalisability to other RTCs. Another limitation is that not all existing methods were explained. This new method constitutes a first proposal for the IP and IC valuation in RTCs and further discussion and development would be carried out in the future.

The results suggest an IP and IC measurement model to improve the strategic and technological decisions making.

This paper may favour the competitiveness of companies engaged in intangible assets (knowledge, R&D) and the negotiation of the contracts since it arrives to determine a value for the intellectual property (software libraries) and intellectual capital.

This paper proposes an IC Model orientated towards an RTC context and to provide a value perspective for them. The authors are practitioners and the model is in use.

This paper analyses whether the entrepreneurship education centres introduced by the Italian Ministry of Higher Education and Research in 2012 (the Italian Contamination Labs – CLabs) are effectively adopting the emergent digital technologies for nurturing their entrepreneurship education activities and dissemination of knowledge contamination practices among university students.

An in-depth analysis of italian entrepreneurship education centres provides evidence about the direct role played by digital technologies in supporting and enhancing the entrepreneurial processes, as well as on their indirect role in stimulating entrepreneurship activities of nascent student entrepreneurs.

Findings provide some insights into the strategic role of some categories of digital technologies inside the CLabs. The main results show still a weak use of digital technologies in CLabs except for social media and digital platforms, mainly used for promotion scope and communication of the entrepreneurial outputs achieved by the students.

Limitations of the study consist of the need to expand the study to all the other CLabs belonging to the CLabs Italian Network and to derive a set of “invariance” among the cases in terms of digital technologies support for student entrepreneurship.

New ways of managing entrepreneurship centres will involve a more massive adoption of digital technologies to support and transform some processes realized inside the CLabs, even if the governance of such centres must develop new digital skills.

The originality of the work regards the contribution to the emerging role of digital technologies on the student's entrepreneurship.

Community informatics can be defined as a strategy or discipline that focuses on the use of information and communication technologies by territorial communities. This paper analyzes the emerging community informatics evaluation literature to develop an understanding of the indicators used to gauge project impacts in community networks and community technology centers. This study finds that community networks and community technology center assessments fall into five key areas: strong democracy; social capital; individual empowerment; sense of community; and economic development opportunities. The paper concludes by making recommendations for future community informatics evaluations.

The purpose of this paper is to explore the relationship between product innovativeness and the process of technology switching. This issue is important for two reasons: (1) in mature markets, the only way to increase market share is through consumers' switching from competitor firms and (2) it is essential to determine whether the product innovation strategy can meet users' needs in high-technology markets.

Research centers (university hospitals) specializing in magnetic resonance imaging (MRI) are the lead users of the MRI market. In this market, the technology switching process was tracked using an annual conference database. Interviews with industry experts and lead users were conducted in order to determine the relationship between product innovativeness and technology switching.

The findings reveal that in the lead users' segment, technology switching is occurring at a significant level. The interviews emphasized the influence of product innovativeness on technology switching in the global MRI market, as well as the importance of adopting an open innovation process as a strategy to enhance product innovativeness.

The results can be generalized to industries with similar characteristics, such as high rates of technological change and technology heterogeneity. In high-technology markets, managers should monitor switching behavior. They should also study the influence of product innovativeness on such behavior in order to determine the correct product innovation strategy and meet users' preferences effectively.

The literature reports considerable research that investigates switching behavior, but most publications use data from a short time period and cover a limited geographical region. This is the first study that uses data to track the switching behavior of high-technology products on a global scale over a 22-year period.

For at least the last 10 years, the Russian authorities have been declaring the need to move to an innovative path of economic development. The government actively initiates and applies various instruments and measures to promote innovation. However, the effectiveness of the Russian innovation policy is still in question. The chapter examines the evolution of state policy to foster innovation growth in Russia since 2000 and describes some sets of achievements and problems for different stages of this policy. In addition to analysis of changes in the innovation sphere at the macro-level, we discuss the primary motivations and limitations at the micro-level (firm level). As a result, the critical institutional barriers to innovation-based growth are revealed. In the same time, certain successes have been achieved in some sectors, and we consider various opportunities to improve Russian technological and innovation policy.