Dissertation

Base Knowledge

It is assumed that the student has successfully completed all the MGEA course units.

Teaching Methodologies

The academic work must be accompanied by one or two teachers (in this case, preferably by two teachers from each of the schools involved in the MGEA).

The adoption of the recommended methodologies will allow students to: acquire knowledge; discover working methods to be used; develop motivation for scientific research in management; detect the importance of the activity developed in the context of the investigation; apply knowledge in new situations; develop the dissertation in a cohesive and robust way.

Learning Results

Learning objectives (knowledge, skills and competences to be developed by students).

– Complete and present an advanced research level on a management topic;

– Integrate and apply some of the concepts and skills obtained from or derived from other course units.

– Develop the dissertation or the project academically in a cohesive and appropriate way.

– Demonstrate a deep critical knowledge of the area;

– Apply a degree of originality within the research field;

– Evaluate and apply established research techniques to the area of interest and develop intellectual skills to be critical from a theoretical and practical perspective;

– Conduct an in-depth review of the comprehensive literature by evaluating alternative research methodologies;

– Propose hypotheses and manage complex issues in a creative and systematic way;

– Demonstrate independent learning and written communication skills as well as analytical skills to solve problems.

Program

Develop, in a cohesive and appropriate way, an investigation on a topic of agricultural business management.

Curricular Unit Teachers

Internship(s)

NAO

Bibliography

Barañano, Ana Maria; (2008), “Métodos e técnicas de investigação em gestão: manual de apoio à realização de trabalhos de investigação”, Edições Sílabo, Lisboa.

Maroco, João (2018), “Análise Estatística com o SPSS Statistics”, 7.ª Edição, Edições ReportNumber.

Pestana, Maria Helena; Gageiro; João Nuno (2008), “Análise de dados para Ciências Sociais – A complementaridade do SPSS”, 5.ª Ed. Rev. e corrigida, Edições Sílabo, Lisboa.

Quivy, R.; Campenhoudt, L. (2018), “Manual de Investigação em Ciências Sociais”, Gradiva, Lisboa

Silverman, D. (2000), “Doing Qualitative Research – A Pratical Handbook”, Sage Publications, London.

Yin, R.K. (2018): “Case Study Research. Design and Methods”, Newbury Park: SAGE Publication, California.

Artigos e URLs disponibilizados aos alunos em função das temáticas em abordagem.