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Based on cue utilization theory, this study aims to examine effects of the style (fashion vs basic) and licensing status (licensed vs nonlicensed) of university-related apparel products (URAPs) as intrinsic and extrinsic cues, respectively, impacting university fans’ responses (i.e. attitudes, purchase intentions and purchase behaviors) and the moderating roles of personal factors (i.e. perceived university prestige, quality consciousness and uniqueness seeking).

Data were collected via an online quasi-experiment employing a 2 (licensing status: licensed vs nonlicensed) × 2 (style: basic vs fashion) within-subjects design with a purposeful sample of 1,126 students and alumni of a Southeastern American university.

Results show that consumers generally responded more favorably to licensed (vs nonlicensed) URAPs, especially for basic styles, whereas their responses to fashionable URAPs were more favorable for nonlicensed (vs licensed) URAPs. Furthermore, the positive effects of licensing status were stronger for consumers with high (vs low) perceived university prestige or quality consciousness. Consumers generally more favorably responded to basic (vs fashion) URAPs, but this style effect was weaker among those with a high (vs low) uniqueness seeking tendency.

Theoretical explanations on URAP consumption have been scant in the product and brand management literature. This study fills this literature gap by conceptualizing extrinsic (i.e. licensing status) and intrinsic (i.e. style) cues crucial in URAP consumption from a cue utilization theory lens and demonstrating empirical evidence for the intricate interplays among the two cues and diverse personal characteristics.

The author considers the success in practice of small firms in obtaining technology and new products from universities, under licensing agreements and through other technology transfer activities. His analysis draws heavily upon research into the use of technology licensing by small and medium sized firms, carried out at Bath University over the previous three years.

The purpose of this paper is to explore the relationship between consumers’ purchase motivations to show support for university programs and the influence of merchandise quality cues on their purchase decision, and examine how one's affiliation with a university (official or non-official) moderates this relationship.

This research utilized a mail survey of university bookstore customers from the USA and Canada. The university, located in the USA, has an international reputation for its academic programs, its athletic teams, and its religious affiliation.

Our findings demonstrate the significance of athletic programs over academic programs and religious values in motivating purchases of licensed university merchandise.

These findings have significant implications for several stakeholders in the business of retailing licensed merchandise. In particular, university licensors and their bookstore retailers may consider managing their inventory of licensed products to reflect the greater relative importance athletic teams have in the purchase decision process.

This paper adds to our understanding of customer motivations to purchase university licensed merchandise, and the conditions when merchandise quality is a key decision driver.

This work tries to shed light on what factors can influence, positively or negatively, the decision to license a patent from a university, in order to offer some recommendations that can contribute to increasing the number of patents licensed from universities.

Based on a sample of researchers at Spanish universities who have already registered patents, this work shows that the individual factors of the researcher outweigh the institutional factors in determining the decision to patent an invention. Likewise, the probability of patenting an invention is higher when the researcher's level of participation in the process is greater.

The results of our study allow us to affirm that, in the Spanish university setting, individual factors play a more important role in one's decision to license a patent than institutional factors. In this sense, the collaboration of companies or experts from outside of academia in the research from which the patent was granted is the most relevant factor.

This work, the first study of this type to be carried out in Europe, concludes with a recommendation for reinforcing the structure and functionality of technology transfer offices as a basic policy for the promotion and facilitation of commercial exploitation of innovation in the universities.

Este trabajo intenta arrojar luz sobre qué factores pueden influir, positiva o negativamente, en la decisión de licenciar una patente de una universidad, con el fin de ofrecer algunas recomendaciones que puedan contribuir a aumentar el número de patentes universitarias.

Basado en una muestra de investigadores en universidades españolas que ya han registrado patentes, este trabajo muestra que los factores individuales superan a los factores institucionales a la hora de determinar la decisión de patentar una invención. Asimismo, la probabilidad de patentar una invención es mayor cuando el nivel de participación del investigador en el proceso es mayor.

Los resultados de nuestro estudio nos permiten afirmar que, en el ámbito universitario español, los factores individuales juegan un papel más importante en la decisión de solicitar una patente que los factores institucionales. En este sentido, la colaboración de empresas o expertos de fuera de la academia en la investigación a partir de la cual se otorgó la patente es el factor más relevante.

Este trabajo es el primer estudio de este tipo que se realiza en Europa y concluye con una recomendación para reforzar la estructura y la funcionalidad de las oficinas de transferencia de tecnología (OTRI) como política básica para la promoción de la explotación comercial de la innovación en las universidades.

As the university–industry collaboration (UIC) gradually attracts the attention of various national governments, the number of studies on UIC has increased substantially. Past UIC studies have mostly focused on investigating the incentives and the motivation for UIC, forms of UIC and performance output of UIC. However, they have not actively identified the key technologies and technology distribution that are conductive to the commercialization of UIC outcomes. Therefore, this study aims to adopt the licensed UIC patents as the basis for analysis and to construct a patent licensing technology network.

This study focused on licensed patents because past studies have indicated that such patents usually have higher value. Moreover, patent licensing can be seen as the final step for the commercialization of UIC outcomes. Finally, past studies have rarely explored patent examiners’ views on key technologies. However, during the substantive examination of patents, patent examiners often use their background knowledge regarding the technology to include citations to other patented technologies that they consider valuable or indispensable. Therefore, this study focused on investigating the patents recognized and cited by patent examiners and conducted key technology identification.

The results indicated that past key technologies in UIC focused on surveying, medicine, biochemistry and electric digital data processing; these fields are crucial to the commercialization of key UIC technologies. Finally, the USA, Japan, Sweden and Germany play critical roles in the network of global university–industry cooperation and technology licensing.

Patent examiners’ perspectives were adopted to establish a patent licensing technology network, through which the key technologies that could promote UIC patent licensing were mined. This study can also serve as a reference for resource allocation in university research and development and for governments to promote new technologies.

The purpose of this paper is to empirically examine the effects of different R&D funding inputs – including funding for basic research, applied research, and development – on different innovation outcomes (e.g. inventions, patents, licenses, and start-ups).

The study borrowed the resource dependence theory perspective by focusing on the proportion of funding secured from various external sources that fund university R&D, and assessed its effect on the nature and outcomes of the university research activity.

Results indicated that greater funding of basic research was associated with more inventions and patents; greater funding of applied research was associated with more licenses; and greater funding for development activities was associated with more university start-ups.

The contributions of this study are two folded: first, it added to the debate that more R&D investment is indeed associated with more innovation outcomes; and second, it is important to differentiate the R&D funding inputs as they are related to different innovation outcomes.

The purpose of this paper is to understand different institutional mechanisms for promoting effective innovation diffusion and maximizing spillovers from fruitfulness of university‐industry linkages.

The approach involved the content analysis of university documents and in‐depth interviews with university personnel. The paper investigated the types of changes which had been instituted by selected universities in regards to the management of invention disclosure and patent licensing procedures, policies for new business startups by faculty and graduates. The paper then studies how university incentive structures have been reshaped to encourage and facilitate engagement with industry.

The types of changes have been instituted by select universities enhance research commercialization capacity in regards to the management of invention disclosure and patent licensing, policies for new business startups by faculty and graduates, and provision of seed capital, training and incubator facilities, especially the relationship between technology transfer offices and university administration, as well as faculty; how university incentive structure has been reshaped to encourage and facilitate engagement with industry; how gross royalties and/or net royalty income are distributed between university and faculty.

This paper describes the important role of institutional underpinnings for building commercial linkages. It also explores what university policies and institutions shape the nature and fruitfulness of innovation diffusion in China.

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.

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.

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.