Academic entrepreneurship is the process by which an individual or group of individuals linked through their work to a university or research centre use knowledge created in their research to set up business ventures or spin-offs. With the Theory of Planned Behaviour as basis, the influence of attitudes, subjective norms, and perceived control on academics’ entrepreneurial intentions was studied. The instrument was a survey conducted of 1178 Spanish university academics in various fields of knowledge, professional categories, and levels of seniority in their institution. A structural equation model identified as the main antecedent of entrepreneurial intention the attitude towards entrepreneurship. This was in turn influenced by creativity, perceived utility, and entrepreneurial experience
19 November 2007 in International Journal of Production Research
This paper aims to describe and analyse the main characteristics of articles on reverse logistics published in the production and operations management field, in order to determine the evolution of this current research over recent years and improve our understanding of this issue. We built up a database with the articles on reverse logistics published in the most relevant journals within the period 1995–2005, and we have explored the topic, the methodology and the techniques of analysis, as well as other relevant aspects of the research. We have evaluated the first decade of research on reverse logistics, observing what has been done and how, where and by whom it has been carried out. The result is an extensive review of the research works that have created and developed the reverse logistics concept, outlining some directions of research for the near future and offering practical help to those who begin to research on this topic.
This study analyses a production-management model that considers the possibility of implementing a reverse-logistics system for remanufacturing end-of-life products in a lean production environment (as opposed to models that use EOQ approaches). Decision variables are identified (including manufacturing and remanufacturing capacities and return rates and use rates for end-of-life products) and optimal policies are determined. Moreover, the structure of these optimal policies is analysed. The conclusion drawn is that, in many realistic scenarios, mixed policies (that is, with return rates and use rates strictly between 0 and 1) can be optimal. This conclusion is contrary to results published in earlier studies, which are based on more restrictive assumptions.