Project Results

 

You can find the results and materials of OREN, all of which are available for free download. This platform offers convenient access to a wealth of valuable resources related to our project, enabling you to explore the outcomes and delve deeper into the project’s materials. We invite you to explore our project results and materials, download what you need, and leverage the valuable insights and information they provide. Feel free to utilize these resources to enhance your own work, spark new ideas, or contribute to the advancement of knowledge within the field.

Project Results 1

National Report

The OREN project developed national reports, in all the partners’ countries, with the aim to identify the common obstacles, challenges and opportunities rural entrepreneurs face, and, subsequently, to provide a comprehensive and updated analysis in terms of the competences and skillsets they need to develop sustainable businesses in the 21st century. In additional to a desk research conducted on the specificities of each country, we looked at specific examples of successful businesses, as well as programmes designed for rural entrepreneurs, in order to identify best practices. Finally, a survey of rural entrepreneurs allowed us to define the expectations and needs they have with regards to training.

Project Results 2

Observatory

 

The purpose of this deliverable is to provide a comprehensive understanding of rural development dynamics and the emergence of successful business models. This includes identifying causal processes, describing relationships, and creating models for an interactive learning environment. To achieve these goals, various analyses were conducted.
Natural Language Processing (NLP): Case studies from Project Result 1 were analyzed using NLP algorithms to uncover insights into the successes and failures of rural organizations.

Literature Review: A thorough scientific literature review explored how Systems Thinking and System Dynamics have been applied to address rural entrepreneurship challenges. It revealed gaps in research related to the impact of different business models on rural development.

Data Compilation: A new knowledge database was developed, incorporating data from partner countries and organizations. NLP and clustering algorithms were applied to extract valuable insights.

Group Model Building: Several Group Model Building Sessions were organized to use System Dynamics to identify key causal relationships within the rural development system.

In addition to these analyses, a knowledge database was established, documenting reasons for the success and challenges of various rural enterprises, along with broader regional data. This valuable resource is freely accessible on the project’s website.

This deliverable contributes to a holistic understanding of rural development dynamics, offering insights into successful business models, causal relationships, and potential challenges. It serves as a valuable resource for researchers, policymakers, and rural entrepreneurs seeking to enhance rural development strategies.

Project Results 3

Coming Soon!