The development of entrepreneurial culture in a transition economy: an empirical model discussion.

This conceptual paper will focus on the presentation of the model developed from empirical, qualitative research covering 20 years of analysis on the relationship between culture and entrepreneurship in Poland. It is aimed at proposing a comprehensive framework that describes the development of entrepreneurial culture. In this empirical model culture is understood as a set of values and beliefs held by a social group that endorse and are conducive to entrepreneurial behaviour; while entrepreneurial behaviour is treated as an expected outcome and narrowed down to opening the company. The model proves that the differentiation between entrepreneurship (behaviour) and entrepreneurs (who demonstrate this behaviour) needs to be recognised in future research. The case of Poland offers a historical example, which can shed more light on the process of cultural change and the role of entrepreneurship and entrepreneurs in the development of entrepreneurial culture. In the case presented, the behaviour of entrepreneurs has been identified as the key factor leading to further development.

A mixed logit model for predicting exit choice during building evacuations.

Knowledge on human behaviour in emergency is crucial to increase the safety of buildings and transportation systems. Decision making during evacuations implies different choices, of which one of the most important concerns the escape route. The choice of a route may involve local decisions between alternative exits from an enclosed environment. This work investigates the influence of environmental (presence of smoke, emergency lighting and distance of exit) and social factors (interaction with evacuees close to the exits and with those near the decision-maker) on local exit choice. This goal is pursued using an online stated preference survey carried out making use of non-immersive virtual reality. A sample of 1,503 participants is obtained and a Mixed Logit Model is calibrated using these data. The model shows that presence of smoke, emergency lighting, distance of exit, number of evacuees near the exits and the decision-maker, and flow of evacuees through the exits significantly affect local exit choice. Moreover, the model points out that decision making is affected by a high degree of behavioural uncertainty. Our findings support the improvement of evacuation models and the accuracy of their results, which can assist in designing and managing building and transportation systems. The main contribution of this work is to enrich the understanding of how local exit choices are made and how behavioural uncertainty affects these choices.