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Research Methods in Entrepreneurship

Code 17376
Year 1
Semester S2
ECTS Credits 6
Workload OT(15H)/TP(30H)
Scientific area Management
Entry requirements There is no
Learning outcomes • Provide a set of concepts, techniques, and approaches, as well as an understanding of the main issues that arise, both in the preparation of the proposal and in the structuring and execution of the research work leading to the master's dissertation/project;

• Provide knowledge of the main strategies to adopt in different research paradigms in the scientific area;

• Acquire the necessary methodological and technical knowledge and skills for the development and implementation of a project or research work;

• Distinguish the types and approaches to scientific research;

• Introduce some quantitative and qualitative data analysis techniques applicable in research in the area;

• Acquire and apply the basic knowledge necessary for recording and processing the obtained information.
Syllabus 1. SCIENCE AND SCIENTIFIC KNOWLEDGE

1.1. Concept and objectives of science
1.2. Philosophy of science
1.3. Theory of knowledge
1.4. Scientific method

2. THEORIES AS PROGRAMS OF SCIENTIFIC INVESTIGATION

2.1. Concept of theory
2.2. Role of theory in relation to facts
2.3. Theory as a program of scientific investigation
2.4. Main theories in the field of management and economics
2.5. Aspects to consider in the study of a theory

3. SCIENTIFIC RESEARCH WORK
3.1. Content and organization
3.2. Elements that make up the structure
3.3. Presentation, process, and writing techniques
3.4. Citation and bibliographic references

4. PHASES IN THE RESEARCH PROCESS

4.1. Definition/framing of the problem
4.2. Objectives and research questions
4.3. Formulation of hypotheses
4.4. Research design

5. RESEARCH APPROACHES AND DATA ANALYSIS TECHNIQUES

5.1. Purpose of the study
5.2. Form of investigation
5.3. Nature of social science
5.4. Techniques
Main Bibliography Bryman, A. e Cramer, D. (1992): "Análise de Dados em Ciências Sociais", Celta Editora, Oeiras.
Lakatos, I. (1980): “Falsification and the Methodology of Scientific Research Programmes”, Cambridge University Press.
Quivy, R.; Campenhoudt, L. (1998), Manual de Investigação em Ciências Sociais, Gradiva – Publicações, 2.ª Edição, Lisboa
Silverman, D. (2000), “Doing Qualitative Research - A Pratical Handbook”, Sage Publications, London.
Yin, R.K. (1989): “Case Study Research. Design and Methods”, Newbury Park: SAGE Publication, California.
Guimarães, Rui Campos e Cabral, José A. Sarsfield, “Estatística”, McGraw-Hill, Lisboa, 1997
Hicks, Charles R.; Kenneth V. TURNER, Fundamental Concepts in the Design of Experiments, Oxford University Press, New York, 1999, 5th Edition.
McClave, J.T, BEnson, P.G. e Sincich, T., Statistics for Business and Economics, 9th Edition, Pearson, Prenstice Hall, 2005.
Teaching Methodologies and Assessment Criteria The final assessment will consist of three types of knowledge evaluation: (1) analysis of a theory – group work, (2) discussion of a text on methodological procedures – group work, and (3) development of a research or project proposal – individual work. The final grade will be the result of the weighted average of these three assessment components, with relative weights of 15%, 15%, and 70%, respectively.

In order to be eligible for the exam, the student must obligatorily complete the dissertation/project proposal during the teaching-learning period.
Language Portuguese. Tutorial support is available in English.
Last updated on: 2026-02-23

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