Idiosyncratic psychological aspects in entrepreneurship

Entrepreneurship is having the courage to transform an idea in reality and with it achieve personal, financial and recognition satisfaction. The psychological ability to handle failure has proven essential in success. Goal: Analyse the importance of idiosyncratic psychological aspects in the success of entrepreneurs. Method: Observational study, using a case study, a group of 20 entrepreneurs from the idea presentation phase to company incorporation during a period of two months. Results: During the observation period 4 distinct psychological phases of the entrepreneurs were observed, being it possible to describe them as follows: absorption of information and knowledge; application of the gathered knowledge to their specific cases; frustration generated by criticism, namely from investors who don’t recognize the value of their projects; realism and implementation of the project. Having passed more than 6 months after the analysis period, one can verify the entrepreneurs who have travelled the 4 phases and specially reached the realism of Phase 4, are today developing their projects being that the remaining ones, majority of which weren’t able to overcome Phase 3, are in a similar situation as at the end of the initial two months. Conclusion: The ability to cope with frustration and rejection is a determinant factor in the success of the entrepreneur. The ability to learn from rejection, more than resilience help the entrepreneur to proceed. Therefore, based on the observations, entrepreneurship has a lot to gain if besides technical assistance also coaching assistance is provided.

Forest-based supply chain modelling using the SimPy simulation framework

Proper management of supply chains is fundamental in the overall system performance of forestbased activities. Usually, efficient management techniques rely on a decision support software, which needs to be able to generate fast and effective outputs from the set of possibilities. In order to do this, it is necessary to provide accurate models representative of the dynamic interactions of systems. Due to forest-based supply chains’ nature, event-based models are more suited to describe their behaviours. This work proposes the modelling and simulation of a forestbased supply chain, in particular the biomass supply chain, through the SimPy framework. This Python based tool allows the modelling of discrete-event systems using operations such as events, processes and resources. The developed model was used to access the impact of changes in the daily working plan in three situations. First, as a control case, the deterministic behaviour was simulated. As a second approach, a machine delay was introduced and its implications in the plan accomplishment were analysed. Finally, to better address real operating conditions, stochastic behaviours of processing and driving times were simulated. The obtained results validate the SimPy simulation environment as a framework for modelling supply chains in general and for the biomass problem in particular.