Clustering tales from the Greek construction sector: lessons from experience

The idea of increasing regional and national economic competitiveness through the implementation of cluster strategies is not something new. In each business sector, in each country, the creation of clusters has been used to capitalise on sector characteristics and address country specific productivity needs. While clusters have met with significant success in many context, the Greek context and in particularly the Greek Construction sector has not been so fruitful. This paper, through the development of a conceptual framework, questionnaires with 92 firms and interviews with 10 key firms, sought to investigate the critical success factors for the creation of a cluster within the challenging context of the Greek construction sector. Using evidence of good practicefrom other European countries facing similar challenges and the empirical data, the findings indicated a series of factors which firms could adopt, mitigate against or manage to help improve the potential success of the cluster. The findingstherefore have important implications for interventions not only by the state and local authorities that will encourage construction firms to participate in a cluster, but also by the managers/owners/practitioners for the creation of the required foundations for their participation in an environment where competitors cooperate

Project-based Learning Practices in Computer Science Education

The EPCoS project (Effective Projectwork in Computer Science) is working to map the range of project-based learning practices in UK higher education and to generate insights into what characterizes the contexts in which particular techniques are effective. In assembling a body of authentic examples, EPCoS aims to provide a resource that enables extrapolation and synthesis of new techniques. To allow educators and researchers to mine this material, EPCoS is systematizing it within a template-based catalogue, augmented with indexing and abstracting devices. Moreover, EPCoS is examining the process by which practices are transferred between institutional contexts, with a view to identifying effective models of the transfer process. Three key elements of transfer are the identification of appropriate practices, the selection of a practice for a purpose, and the integration of a chosen practice into the existing culture. Structured resources and process models are essential tools for supporting responsiveness in the current climate of continual change: the rapid development of computer technology is demanding new range and flexibility in project work, and EPCoS's mapping of project-based teaching allows practitioners to respond to these changes. This is one context in which educational research into how projects work can generalize to professional practice

Identifying innovation in higher education elearning strategies

There are many case studies of individual Higher Education Institutions (HEIs) devising distinctive eLearning strategies, reported by the HEI itself, journalists, or research observatories. An extraordinarily wide range of university-level eLearning programmes are rapidly becoming available from large numbers of HEIs across Europe, and there are strong attempts being made to identify and disseminate case studies of innovative eLearning practices (e.g. MENON, 2006). However, the vital research goal of obtaining more systematic evidence across countries in relation to HEIs' innovations in eLearning strategies represents a particular challenge for collectors of case studies, especially given the diverse processes in different countries for measuring pedagogical value and cost-effectiveness. By contrast, there are typically several reports a year of large-scale attempts to survey HEIs in relation to eLearning, sponsored, for example, by EU programmes or industry groups. Yet the factors that determine educational effectiveness are not, so far, well understood; and consequently it can be difficult to develop reliable quantitative survey items that simultaneously enable valid and insightful comparisons between essentially qualitative eLearning strategies. Moreover, such quantitative evidence is not collected systematically by the typical HEI; when collected, such evidence is commercially sensitive; and it is not easy for researchers to obtain independently of the HEI. So, claims are made, for example, that European universities plan to 'expand their use of eLearning' (BBC News, 2005), but it is not at all clear what measures of expansion are appropriate, and what kinds of strategies are associated with such expansion. The two-year research study described here attempted a mixed-method approach to the problem of identifying examples of innovation in relation to the eLearning strategies developed by HEIs. Where possible the study estimated the impact of the implemented eLearning programmes, but the emphasis was on illuminating a range of innovative eLearning strategy cases, rather than necessarily determining best practice. Two key research questions asked by the study are: 1. How can innovation in Higher Education eLearning strategies be identified? 2. What factors are critical to the success of these strategies? This research did not set out to obtain, directly, insight into why eLearning has not been more widely adopted by HEIs, why various eLearning projects have failed, why some eLearning projects have achieved less success than anticipated, or why some eLearning projects have achieved success more slowly than anticipated. However, by researching innovation, the challenges faced by the innovators, and how strategies needed to change over time, it is anticipated that the findings from this study might indirectly illuminate these crucial questions. It is not possible within the space available here to do more than outline the methodology and highlight a few key findings: fuller reports are available on the project website www.spi.pt/innounilearning

Using software development progress data to understand threats to project outcomes

Peer reviewe

Factors determining the success of public private partnership projects in Nigeria

The implementation of public private partnership (PPP) procurement method is expected to help governments in the development of infrastructures and provides an opportunity for the reduction in the governments’ debt profiles. This method has been adopted in Nigeria for more than a decade and with these years of implementation, few infrastructural projects have been developed using this method while some have been unsuccessful. This study aims to examine the PPP projects implementation in Nigeria and identify the most critical factors that could determine the success of such projects. A total of 184 questionnaires were received from public and private sectors’ participants in the implementation of PPP projects. An exploratory factor analysis identified seven critical success factors as projects feedback, leadership focus, risk allocation and economic policy, good governance and political support, short construction period, favourable socio-economic factors, and delivering publicly needed service. This study shows that more developmental projects could be delivered through PPP if the government could focus on these main factors in the implementation process. The result will influence policy development towards PPP and guide the partners in the development of PPP projects.

The whole of university experience: retention, attrition, learning and personal support interventions during undergraduate business studies

The Whole of University Experience (WoUE) project examined factors underpinning attrition in the first, second and third year of a business degree at six Australian universities – Griffith University, Monash University, Murdoch University, University of South Australia, University of Southern Queensland, and University of the Sunshine Coast. A questionnaire completed in 2008, 2009, and 2010 by a total of 7,486 students enabled gathering of data relating to demographics; students’ experience of university; their use and perceptions of the usefulness of student support interventions; open-ended comments about the best and worst aspects of the university experience; and aspects in need of improvement. In each year a small number of students were also interviewed for the purpose of fleshing out the survey data and exploring the interactions between various factors associated with attrition. Overall, the data strongly indicates that factors related to attrition are generally university-specific and reflect both student characteristics and their responses to the specific institutional culture and environment. The only attrition triggers which span most universities and most years of study are ‘lack of a clear reason for being at university’ and ‘the feeling of having insufficient ability to succeed at university’. Correlation analysis relating 70 statements probing students’ experience of university to the strength of their intention to leave before completing a degree revealed notable differentiation in attrition triggers on the basis of year of study. Follow-up analysis in one university indicated further differentiation in the triggers for attrition, semester by semester. It seems that many different factors underpin attrition decisions in any one institution and for any one individual, for whom attrition appears to be the result of the aggregation of diverse factors generally followed by ‘the straw that broke the camel’s back’. When responses are grouped by demographic variables some difference in the factors associated with domestic and international student attrition is apparent, but no difference in the factors associated with their sense of satisfaction or belonging is obvious. In the responses of international and domestic students to issues of teaching quality, differences primarily related to expectations regarding teaching staff approachability, availability and helpfulness. For students enrolled part-time or full-time different factors underpin attrition, and attrition triggers also differ on the basis of time spent on campus and average grades. Preliminary analysis suggests that having to take a loan or engage in full-time work to fund studies is a greater attrition risk factor in most universities than is the receipt of Centrelink benefits (which may be seen as a proxy indicator for low socio-economic status). Analysis of responses to questions about the use and usefulness of student support interventions indicates that, in general, when students use personal support interventions these are mostly seen as very useful. However, data also indicate that many, and often the majority of, students have either not used or are not aware of the support services available. Practically, the project has delivered, and will continue to deliver, significant value to the higher education sector. On the basis of evidence from the project, partner universities have begun addressing high-value student retention issues and it is expected that this evidence will continue to influence institutional decision-making for several years beyond the life of the project. Dissemination activities external to partner universities, including publication of five journal articles and numerous workshops or presentations, have assisted staff in other universities to reflect upon issues critical to student retention in both first year and beyond. Further publication outcomes are expected. Critically, as indicated in the independent project evaluation, “the project has directed much needed attention to factors associated with attrition in later years of the student experience (second and third years) … facilitated discussion around frameworks for evidence-based institutional responses that constitute effective interventions … [and] reinforced the need for institutions to collect their own data on the student experience to inform individual institutional responses and interventions”