Towards the university entrepreneurial mission: Portuguese academics’ self-perspective of their role in knowledge transfer

The role of the university in society and the economy is evolving. Universities produce knowledge that promotes technological developments, which are, in turn, critical to economic growth and competitiveness in the global economy. Therefore, it is increasingly expected that universities become more entrepreneurial and assume this third mission in order to promote innovation and development through the provision of technologies and business ventures. Drawing on data collected for The Changing Academic Profession Project – a comparative survey of the academic profession carried out in 19 countries from all over the world – this article explores Portuguese academic entrepreneurship engagement based on the involvement in the process of technology transfer as an activity performed in the context of research activities. It thus aims to contribute to knowledge about academics’ engagement in entrepreneurial activity. Results from this study suggest that Portuguese academics are fairly involved in entrepreneurial activities and that there is an overall positive attitude towards application of research to real problems. Furthermore, it was possible to see that academics involved in processes of technology transfer are not only focused on activities such as research but also service to the outside community. However, when comparing academics involved and not involved in entrepreneurial activities, several significant differences are found in their attitudes, perceptions and behaviours.     

The maturation of global corporate R&D: Evidence from the activity of U.S. foreign subsidiaries

This study empirically investigates the impact of foreign country factors like market size, technological strength of industries, and science and engineering (S&E) capability on the conduct of U.S. overseas R&D during the 1991-2002 period. We find that overseas markets primarily predict the entry of U.S. R&D, while the S&E capability of nations is strongly correlated with the post-entry intensity of U.S. foreign subsidiaries’ innovative activity. We also find important inter-industry differences: U.S. electrical, electronics, computer, and telecommunication industries are strongly drawn towards overseas S&E capacity; industries including Machinery, Automobiles, and Transport equipment are primarily attracted by the technological strength of foreign industry; U.S. R&D in Chemicals mostly follows overseas markets. We discuss the implications of our results to the global organization of innovative activity and innovation policy.     

Defining Quality

This paper addresses the nature of the concept of quality in relation to higher education. It analyses ways of thinking about quality, considers their relevance to higher education, explores their interrelationships and examines their philosophical and political underpinnings. The relative nature of quality is examined. First, quality means different things to different people. Second, quality is relative to ‘processes’ or ‘outcomes’. The widely differing conceptualisations of quality are grouped into five discrete but interrelated categories. Quality can be viewed as exception, as perfection, as fitness for purpose, as value for money and as transformative.

Determining criteria for assessing quality in higher education requires an understanding of different conceptions of quality that inform the preferences of stakeholders.     

Getting to the Point: Using Research Meetings and the Inverted Triangle Visual to Develop a Dissertation Research Question

This article contributes to the research training environment literature by presenting a method to guide the development of a dissertation research question. The method relies on 2 essential components: (a) informal doctoral student research team meetings to provide a mentoring environment in which conversation and discussion about dissertation questions takes place and (b) an inverted triangle visual to identify specific steps in the question‐development process. The first author's experience and that of 3 other participants with this method are chronicled to illustrate its efficacy.     

Family literacy activities in the homes of successful young readers

This paper presents an account of the literacy activities engaged in by the parents of 29 children around the time that the children were about to start school at Key Stage 1. Fifteen of the children were reading fluently before they began school and the remaining fourteen were matched for age, sex, receptive vocabulary scores, pre‐school group attended and socio‐economic family status, but not reading fluently. In order to ascertain that the fluent readers were not simply coming from homes where literacy activities were more in evidence, parents were asked to report on their own literacy activities. The data obtained indicated that there were no systematic differences in the activities of the two sets of parents. They also showed that there was a considerable amount of literacy activity evident in the homes. It is argued that, whilst the home environment is highly instrumental in nurturing literacy development, it is not enough to account for precocious reading ability.     

Bayesian Estimation of the True Score Multitrait–Multimethod Model With a Split-Ballot Design

This article examines whether Bayesian estimation with minimally informed prior distributions can alleviate the estimation problems often encountered with fitting the true score multitrait–multimethod structural equation model with split-ballot data. In particular, the true score multitrait–multimethod structural equation model encounters an empirical underidentification when (a) latent variable correlations are homogenous, and (b) fitted to data from a 2-group split-ballot design; an understudied case of empirical underidentification due to a planned missingness (i.e., split-ballot) design. A Monte Carlo simulation and 3 empirical examples showed that Bayesian estimation performs better than maximum likelihood (ML) estimation. Therefore, we suggest using Bayesian estimation with minimally informative prior distributions when estimating the true score multitrait–multimethod structural equation model with split-ballot data. Furthermore, given the increase in planned missingness designs in psychological research, we also suggest using Bayesian estimation as a potential alternative to ML estimation for analyses using data from planned missingness designs.