Seminário

Not applicable

The methodology is divided between face-to-face activities and autonomous activities: thematic seminars on the CU contents; autonomous work of the student for bibliographic research, identification of the research/organizational problem, structuring of the theoretical framework and definition of the work plan.

By the end of the curricular unit, the student is expected to be able to:

a) Identify and categorize relevant data sources for the development of research projects;

b) Use tools and research techniques to locate, select, and manage bibliographic sources;

c) Analyze and justify the selection of research topics based on scientific relevance and identified gaps;

d) Structure a master’s thesis logically and coherently, covering the main sections of a scientific report;

e) Develop hypotheses and conceptual models based on existing literature;

f) Select and justify appropriate methodologies for data collection and analysis, aligned with the study’s objective;g) Apply data processing and analysis techniques;

h) Present and critically discuss results, identifying contributions to theory and practice;

i) Propose improvements and future research directions based on the study’s limitations.

1. Identification of data sources and use of reference management tools.

2. Techniques for scientific research and selection of research topics.

3. Components of a master’s thesis: title; abstract; introduction (gap and objective); integrative review; conceptual model; hypotheses;definition of population/sample; data collection instruments; results; critical discussion; theoretical/managerial contributions; limitations; future research.

4. Multivariate data analysis: factor analysis; principal component analysis; multiple linear regression analysis; cluster analysis; applicationsusing IBM SPSS Statistics Software.

5. Structural equation modelling: measurement model analysis (reliability, convergent/discriminant validity); structural model analysis(direct/indirect/total effects); mediation and moderation; applications using AMOS/SmartPLS software.

6. Text Mining: text classification; topic modelling; sentiment analysis; applications using Orange software.

• - Seminar work, including oral presentation and defense, with a weight of 60% in the final grade. - 60.0%
• - Exam, with a weight of 40% in the final grade; - 40.0%

• - Tests, with a weight of 40% in the final grade; - 40.0%
• - Seminar work, including oral presentation and defense, with a weight of 60% in the final grade; - 60.0%

NAO