Accreditations
Programme Structure for 2024/2025
Curricular Courses | Credits | |
---|---|---|
Research Design I
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
Qualitative Research
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
Statistical Methods
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
Specialization Seminar in Management
12.0 ECTS
|
Parte Escolar > Mandatory Courses | 12.0 |
Research Design II
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
Research Development and Publication
6.0 ECTS
|
Parte Escolar > Mandatory Courses | 6.0 |
Research Project in Management
12.0 ECTS
|
Parte Escolar > Mandatory Courses | 12.0 |
Phd Thesis in Management
180.0 ECTS
|
Specialization > Data Science | 180.0 |
Phd Thesis in Management
180.0 ECTS
|
Specialization > Accounting | 180.0 |
Phd Thesis in Management
180.0 ECTS
|
Specialization > Strategy and Entrepreneurship | 180.0 |
Phd Thesis in Management
180.0 ECTS
|
Specialization > Operations Management, Logistics and Supply Chain Management | 180.0 |
Phd Thesis in Management
180.0 ECTS
|
Specialization > Marketing | 180.0 |
Phd Thesis in Management
180.0 ECTS
|
Specialization > Quantitative Methods Applied to Management | 180.0 |
Phd Thesis in Management
180.0 ECTS
|
Specialization > Human Resources and Organizational Behavior | 180.0 |
Research Design I
LO1 - To introduce students to the fundamental principles and importance of scientific research and research design in various disciplines.
LO2 - To equip students with the knowledge and skills to choose appropriate research methods and designs based on research objectives.
LO3 - To guide students in developing clear and testable research hypotheses and research questions.
LO4 - To provide students with an understanding of data collection techniques and ethical considerations in research.
LO5 - To enable students to critically evaluate research designs and methods in existing literature.
Module 1: Introduction to Scientific Research
Module 2: Identifying a Research Problem/Topic and Formulating Research Questions
Module 3: Research Design and Methods
Module 4: Data Collection Techniques
Module 5: Critically Evaluating Research Designs
The assessment is based on:
- group work and oral presentation (25%)
- final test (75%)
Pass mark: weighted average of 10 or more (0-20 scale); the result of each component cannot be less than 8 (0-20 scale).
Title: Bell, E., Bryman, A., & Harley, B. (2019). Business research methods. Oxford university press.
Leedy, P. D., & Ormrod, J. E. (2019). Practical research: Planning and design. Pearson Education.
Saunders, M., Lewis, P., & Thornhill, A. (2019). Research methods for business students. Pearson education.
Authors:
Reference: null
Year:
Qualitative Research
After concluding this course it is expected that students are able to:
1- Discuss the main features of qualitative research while in comparison with quantitative research;
2- Identify when qualitative research should be adopted;
3- Design a qualitative research project;
4- Select the most appropriate strategies for collecting evidence within a particular qualitative research project;
5- Analyse qualitative data.
1. Features of qualitative research
2. The ontological and epistemological perspectives and the research questions
3. Designing qualitative research
4. Strategies for generating evidence
a. Data sources, methods and approaches
b. Interviews
c. Observation
d. Documents
5. Conducting case studies
6. Analysing qualitative data
a. Organising and indexing qualitative data
b. Approaches in qualitative data analysis
c. Making convincing arguments with qualitative data
7. Quality/trustworthiness in qualitative research
The evaluation system is based on the delivery of an essay, which should be developed individually by each student, and of an individual exam at the end of the course. The essay and the exam account 20% and 80%, respectively for the student final mark. The final grade should not be inferior to 10 points/values for the student to be approved. Furthermore, it is required a rate of attendance of at least 2/3 of classes; otherwise the student will fail.
BibliographyTitle: Yin, R. (2018), Case study research and Applications: Research Design and Methods, Sage, 6th edition.
Silverman, D. (2021) Doing Qualitative Research, 6th edition, London: Sage;
Miles, M. B., Huberman, A. M. & Saldaña, J. (2019) Qualitative Data Analysis, 4th edition, Thousand Oaks, CA: Sage;
Mason, J. (2017) Qualitative Researching, 3rd edition, London: Sage;
Marshall, C., Rossman, G. B. and Blanco, G. L. (2022) Designing Qualitative Research, 7th edition, Thousand Oaks, CA: Sage;
Authors:
Reference: null
Year:
Title: Hoque, Z., Parker, L., Kovaleski, M.A. & Hatnes, K. (2017). The Routledge Companion to Qualitative Accounting Research Methods, NY: Routledge.
Gaudet, S. & Robert, D. (2018). A Journey Through Qualitative Research: From Design to Reporting, Sage;
Eisenhardt, K., Graebner, M. G. & Sonenshein, S. (2016). Grand Challenges and Inductive Methods Rigor Without Rigor Mortins. Academy of Management Journal, 59(4), 1113-1123.
Bonsal, P., Smith, W.K. & Vaara, E. (2018). New ways of seeing through qualitative research. Academy of Management Journal, 61(4), 1189-1195.
Patton, M. Q. (2015) Qualitative Research and Evaluation Methods, 4th edition, Thousand Oaks, CA: Sage;
Denzin, N. and Lincoln, Y. (2017) (Eds.), The Sage Handbook of Qualitative Research, 5th edition, Sage Publications, Thousand Oaks, CA.
Authors:
Reference: null
Year:
Statistical Methods
Students who complete successfully this course should be able to:
1) Define and identify the suited statistical and econometric tools according with the research questions
2) Understand the interplay between data collection/sampling and statistical inference as a needed step to achieve good standards of scientific research
3) Describe and read results from research
4) Critically evaluate statistical and econometric procedures used, namely the potential limitations
5) Use the EXCEL and R/RStudio to perform inferential and multivariate data analysis.
1) Preliminary exploratory data analysis.
2) Parametric hypothesis tests: one-sample t-test; independent samples t-test; one-way ANOVA.
3) Non-parametric hypothesis tests: Kolmogorov-Smirnov test for normality; Chi-square test for independence; Mann-Whitney test; Kruskal-Wallis test.
4) Linear Regression: Simple and Multiple
Assessment takes place through continuous assessment throughout the semester or assessment by exam. Continuous assessment throughout the semester consists of a group work (50%) and a test (50%) that covers the entire subject and whose grade must be greater than or equal to 7.5. Continuous assessment throughout the semester requires a minimum attendance of 66.67% of classes. Assessment by exam consists of carrying out an exam with a weighting of 100%. In the test and exam, students can use a calculator and all the materials provided by the teacher.
BibliographyTitle: Curto, José Dias, Statistics - over 200 problems (with solutions): Applications in `R/RStudio' and `Excel', 2022, Ed. Autor, Amazon.
Hair, Jr., J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L., Multivariate Data Analysis (8th ed.), 2018, Pearson Prentice Hall,.
Curto, José Dias, Mathematics in Bullets points: what you must know before starting a master or PhD program, 2019, Ed. Autor, Amazon.
Authors:
Reference: null
Year:
Specialization Seminar in Management
At the end of the unit, students should be able to:
LG1 Identify research problems that are relevant in different fields of management
LG2 Understand and apply fundamental theory
LG3 Understand prior literature in the field and develop a critical analysis of the state of the art
LG4 Propose a research project that identify research problems and research questions and its contribution to advance knowledge in the field
1. The research process. Developing relevant research topics.
2. Identifying the research problem
3. Using theory to support the research problem
4. Literature review. Instruments to prepare a critical literature review.
5. Development of a research project. Ethics in research.
The course evaluation through the semester is based on scale from 0 to 20 and is obtained as the weighted average of two mandatory elements: an individual written essay (90%) in the area of specialization, and a group exercise with oral presentation in class (10%). The minimum score to pass the course is 10 points. Given the nature and purpose of the curricular unit, there is no final exam for students that do not approve in the above system.
BibliographyTitle: Leedy, P. D. & Ormrod (2019). Practical research: Planning and design. Macmillan publishing company.
Sandberg, J. & Alvesson, M. (2011) Ways of constructing research questions: gap-spotting or problematization?, Organization, 18(1), 23-34
Evans, D., Gruba, P., & Zobel, J. (2011). How to write a better thesis. Melbourne Univ. Publishing.
Editors of Academy of Management Journal (2011). From the Editors Publishing in AMJ. 54 (3), 432-453
Authors:
Reference: null
Year:
Title: Blokdyk, G. (2019). Marketing Research: A Complete self- assessment Guide. New Jersey: 5STARCooks.
Choi T.M., Cheng T.C.E., & Zhao X. (2016). MultiMethodological Research in Operations Management. Production and Operations Management, 25(3), 279-389.
Daniels, S. R., Wang, G., Lawong, D., & Ferris, G. R. (2017). Collective assessment of the human resources management field: Meta-analytic needs and theory development prospects for the future. Human Resource Management Review, 27(1), 8-25.
George, G., Osinga, E.C., Lavie, D., & Scott, B.A. (2016). Big data and data science methods for management research. Academy of Management Journal, 59 (5), 1493-1507.
Post, C., Sarala, R., Gatrell, C., & Prescott, J. E. (2020). Advancing theory with review articles. Journal of Management Studies, 57(2), 351-376.
Scott, W.R., & O´Brein, P. (2019). Financial Accounting Theory (8th Edition), Toronto: Prentice Hall
Vicario, G., & Coleman, S. (2020). A review of data science in business and industry and a future view. Applied Stochastic Models in Business and Industry, 36 (1): 6-18.
Authors:
Reference: null
Year:
Research Design II
Students who complete successfully this course should be able to:
- Define and differentiate different research designs.
- Identity different stages of research: research designs, operationalization of variables, sampling procedures and research validity
- Describe and read results from research
- Delineate the methodological strategy to effectively address the research problem
- Critically evaluate research quality
- Recognize and apply ethic research principles to research
1- Research Planning
2- Different types of research designs:
- Case studies, correlational studies, experimental studies.
- Cross-sectional versus longitudinal studies
- Studies with mixed methods
3- Measurement of variables and types of validity.
4-Types of surveys (questionnaires and interviews)
5- Ethics in research.
The evaluation consists in an single individual written test/exam at the end of the course (100%) that aims to assess the acquired knowledge about the topics and a critical analysis about them.
Students that have a mark below the minimum mark of 10 in the exam can do a second evaluation
Title: Saunders, M., Lewis, P. & Thornhill, A (2019). Research methods for business students (8th ed.). Essex: Pearson Education Limited
Mitchell, M. L., & Jolley, J. M. (2013). Research design explained (8th ed.). Toronto, Canada: Wadsworth
Meltzoff, J. & Cooper, H.M. (2017). Critical thinking about research (2nd edition). Washington, D C: American Psychological Association.
Leedy, P. D., & Ormrod, J. E. (2016) Practical research: Planning and design (11th Edition). New Jersey: Prentice-Hall.
DeVellis, R.F. (2017). Scale development: Theory and applications (4th edition). London: Sage.
Bryman, A., & Bell, E. (2015). Business research methods. Oxford University Press, USA.
Authors:
Reference: null
Year:
Title: Turner, S. F., Cardinal, L. B., & Burton, R. M. (2017). Research design for mixed methods: A triangulation-based framework and roadmap. Organizational Research Methods, 20(2), 243-267.
Rogelberg, S., Adelman, M., & Askay, D. (2009). Crafting a successful manuscript: Lessons from 131 reviews. Journal of Business Psychology, 24, 117-121.
Podsakoff, P. M., MacKenzie, S. M., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539-569.
O'Boyle Jr, E. H., Banks, G. C., & Gonzalez-Mulé, E. (2017). The chrysalis effect: How ugly initial results metamorphosize into beautiful articles. Journal of Management, 43(2), 376-399.
Kirkman, B. L., & Chen, G. (2011). Maximizing your data or data slicing? Recommendations for managing multiple submissions from the same dataset. Management and Organization Review, 7(3), 433-446.
Huang, J. L., Bowling, N. A., Liu, M., & Li, Y. (2014). Detecting insufficient effort responding with an infrequency scale: Evaluating validity and participant reactions. Journal of Business and Psychology, 30 (2),299-311
Hsu, D. K., Simmons, S. A., & Wieland, A. M. (2017). Designing entrepreneurship experiments. Organizational Research Methods, 20(3), 379-412.
Hollenbeck, J. R., & Wright, P. M. (2017). Harking, sharking, and tharking: Making the case for post hoc analysis of scientific data. Journal of Management,43(1), 5-18.
Crenshaw, P, Hale, E., & Harper, S. (2011). Producing intellectual labor in the classroom: The utilization of a critical thinking model to help students take command of their thinking. Journal of College Teaching & Learning, 8, 13-26.
Cheung, JH, Burns, D.K., Sinclair, R.R., & Sliter, M. (2017). Amazon Mechanical Turk in organizational psychology: an evaluation and practical recommendations. Journal of Business and Psychology, 32 (4), 347-361.
Carpenter, S. (2018). Ten steps in scale development and reporting: A guide for researchers. Communication Methods and Measures, 12(1), 25-44.
Bosco, F. A., Aguinis, H., Field, J. G., Pierce, C. A., & Dalton, D. R. (2016). HARKing's threat to organizational research: Evidence from primary and meta-analytic sources. Personnel Psychology, 69(3), 709-750.
Bem, D. J. (2001). Writing the empirical journal article. In Darley, J. M., Zanna, M. P., & Roediger III, H. L. (Eds) (2002). The Complete Academic: A Career Guide. Washington, DC: American Psychological Association.
Authors:
Reference: null
Year:
Research Development and Publication
The doctoral students who complete successfully this course should be able to:
- Structure, develop and write research articles
- Understand the critical aspects and rules for submission of articles to international scientific journals in management
- Critically analyze and revise scientific work
- Assess the impact and contribution of scientific publications
1. Structure and development of scientific articles
2. Fundamental issues in academic writing
3. Submission, revision and publication of research
4. Ethics in publication
5. Impact and contribution of research
Classes include a theoretical component covering the differences where discussion is encouraged. The classes also involve practical applications with cases and examples.
|
The assessment is conducted during the semester and is based on an individual assignment (60%) and a group assignment (40%).
Pass grade: 10.
Title: McCloskey, Deirdre (2019) Economical Writing (3/E). University of Chicago Press
Lester, Jim and James Lester (2021) Writing Research Papers: A Complete Guide (16/E). Pearson
Authors:
Reference: null
Year:
Title: Zinsser, William (2016). On Writing Well: The Classic Guide to Writing Nonfiction. Harper Collins
Goshert, John (2011) Entering the Academic Conversation: Strategies for Research Writing.
Clines, Raymond and Elizabeth Cobb (2014) Research Writing Simplified: A Documentation Guide (8/E). Pearson
Authors:
Reference: null
Year:
Research Project in Management
At the end of the unit, students should be able:
LG 1 - To understand how a research project should be structured.
LG 2 - To prepare a draft of their research projects.
1. Structure of the research project.
2. Research methods.
3. Analysis of the students research projects.
Assessment throughout the semester:
Individual research project - written document (70%).
Individual research project - oral presentation (30%).
Requirements:
No minimum attendance is required.
No minimum score is required in any of the assessment instruments.
Approval with a minimum weighted average of 10 values.
Title: Smith, M. (2020) Research Methods in Accounting. Fifth Edition. London: SAGE Publications.
Sharda R, Delen D, Turban E (2018) Business Intelligence, Analytics, and Data Science: A Managerial Perspective. Global Fourth Edition, Harlow: Pearson.
Bell E, Bryman A, Harley B (2019) Business research methods. Fifth Edition, New York: Oxford University Press.
Authors:
Reference: null
Year:
Title: Sandberg, J. & Alvesson, M. (2011) Ways of constructing research questions: gap-spotting or problematization?, Organization, 18(1), 23-34.
Markoulli, M., Lee, C. I. S. G., Byington, E., & Felps, W. A. (2017). Mapping Human Resource Management: Reviewing the field and charting future directions. Human Resource Management Review, 27(3), 367?396
Sekaran U, Bougie R (2016) Research Methods For Business: A Skill-Building Approach. Seventh Edition, Chichester: John Wiley & Sons.
Saunders MNK, Lewis P, Thornhill A (2016) Research Methods for Business Students. Seventh Edition, Harlow: Pearson.
Porter, L. W., & Schneider, B. (2014). What was, what is, and what may be in OP/OB. Annual Review of Organizational Psychology and Organizational Behavior, 1, 1?21.
Pindek, S., Kessler, S. R., & Spector, P. E. (2017). A quantitative and qualitative review of what meta-analyses have contributed to our understanding of human resource management. Human Resource Management Review, 27(1), 26?38.
Hastie T, Tibshirani R, Friedman J (2013) The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Second Edition, New Yor: Springer.
Greenfield T, Greener S (Eds.) (2016) Research Methods for Postgraduates. Third Edition, Chichester: John Wiley & Sons.
Choi TM, Cheng TCE, Zhao X (2016) Multi?Methodological Research in Operations Management, Production and Operations Management, 25(3): 279-389.
Choi TM, Wallace SW, Wang Y (2018) Big Data Analytics in Operations Management, Production and Operations Management, 27(10): 1868-1883.
Daniels, S. R., Wang, G., Lawong, D., & Ferris, G. R. (2017). Collective assessment of the human resources management field: Meta-analytic needs and theory development prospects for the future. Human Resource Management Review, 27(1), 8?25
Authors:
Reference: null
Year:
Phd Thesis in Management
Phd Thesis in Management
No final da unidade curricular os alunos devem ser capazes de:
OA1: desenvolver e comunicar investigação científica numa das seguintes áreas da gestão: Contabilidade; Recursos Humanos e Comportamento Organizacional; Marketing; Gestão de Operações, Logística e Gestão da Cadeia de Abastecimento; Métodos quantitativos Aplicados à Gestão; Estratégia e Empreendorismo.
OA2: concluir e defender uma tese que contribua para o avanço do conhecimento numa das áreas da gestão acima referidas. At the end of the unit students should be able to:
LG1: develop and communicate scientific research in one of the following areas of Management: Accounting; Human Resources and Organizational Behavior; Marketing; Operations Management, Logistics and Supply Chain Management; Quantitative Methods applied to Management; Strategy and Entrepreneurship.
LG2: conclude and defend a PhD thesis that contributes to advance knowledge in one of the areas of Management abovementioned
1. Development of a PhD thesis that includes the following:
2. 1. Identification of a relevant research problem
3. 2. Critical analysis of the literature
4. 3. Understanding the theoretical framework
5. 4. Development of the research design
6. 5. Empirical implementation, methods and analysis of results
7. 6. Implications and contribution to the field
8. 7. Writing up
8. Communicating scientific findings in management
The thesis is evaluated in a public session by a jury of national and international academics experts in the field. The evaluation is based on the thesis' scientific merit and contribution to advance knowledge in the field.
BibliographyPhd Thesis in Management
No final da unidade curricular os alunos devem ser capazes de:
OA1: desenvolver e comunicar investigação científica numa das seguintes áreas da gestão: Contabilidade; Recursos Humanos e Comportamento Organizacional; Marketing; Gestão de Operações, Logística e Gestão da Cadeia de Abastecimento; Métodos quantitativos Aplicados à Gestão; Estratégia e Empreendorismo.
OA2: concluir e defender uma tese que contribua para o avanço do conhecimento numa das áreas da gestão acima referidas. At the end of the unit students should be able to:
LG1: develop and communicate scientific research in one of the following areas of Management: Accounting; Human Resources and Organizational Behavior; Marketing; Operations Management, Logistics and Supply Chain Management; Quantitative Methods applied to Management; Strategy and Entrepreneurship.
LG2: conclude and defend a PhD thesis that contributes to advance knowledge in one of the areas of Management abovementioned
1. Development of a PhD thesis that includes the following:
2. 1. Identification of a relevant research problem
3. 2. Critical analysis of the literature
4. 3. Understanding the theoretical framework
5. 4. Development of the research design
6. 5. Empirical implementation, methods and analysis of results
7. 6. Implications and contribution to the field
8. 7. Writing up
8. Communicating scientific findings in management
The thesis is evaluated in a public session by a jury of national and international academics experts in the field. The evaluation is based on the thesis' scientific merit and contribution to advance knowledge in the field.
BibliographyPhd Thesis in Management
No final da unidade curricular os alunos devem ser capazes de:
OA1: desenvolver e comunicar investigação científica numa das seguintes áreas da gestão: Contabilidade; Recursos Humanos e Comportamento Organizacional; Marketing; Gestão de Operações, Logística e Gestão da Cadeia de Abastecimento; Métodos quantitativos Aplicados à Gestão; Estratégia e Empreendorismo.
OA2: concluir e defender uma tese que contribua para o avanço do conhecimento numa das áreas da gestão acima referidas. At the end of the unit students should be able to:
LG1: develop and communicate scientific research in one of the following areas of Management: Accounting; Human Resources and Organizational Behavior; Marketing; Operations Management, Logistics and Supply Chain Management; Quantitative Methods applied to Management; Strategy and Entrepreneurship.
LG2: conclude and defend a PhD thesis that contributes to advance knowledge in one of the areas of Management abovementioned
1. Development of a PhD thesis that includes the following:
2. 1. Identification of a relevant research problem
3. 2. Critical analysis of the literature
4. 3. Understanding the theoretical framework
5. 4. Development of the research design
6. 5. Empirical implementation, methods and analysis of results
7. 6. Implications and contribution to the field
8. 7. Writing up
8. Communicating scientific findings in management
The thesis is evaluated in a public session by a jury of national and international academics experts in the field. The evaluation is based on the thesis' scientific merit and contribution to advance knowledge in the field.
BibliographyPhd Thesis in Management
No final da unidade curricular os alunos devem ser capazes de:
OA1: desenvolver e comunicar investigação científica numa das seguintes áreas da gestão: Contabilidade; Recursos Humanos e Comportamento Organizacional; Marketing; Gestão de Operações, Logística e Gestão da Cadeia de Abastecimento; Métodos quantitativos Aplicados à Gestão; Estratégia e Empreendorismo.
OA2: concluir e defender uma tese que contribua para o avanço do conhecimento numa das áreas da gestão acima referidas. At the end of the unit students should be able to:
LG1: develop and communicate scientific research in one of the following areas of Management: Accounting; Human Resources and Organizational Behavior; Marketing; Operations Management, Logistics and Supply Chain Management; Quantitative Methods applied to Management; Strategy and Entrepreneurship.
LG2: conclude and defend a PhD thesis that contributes to advance knowledge in one of the areas of Management abovementioned
1. Development of a PhD thesis that includes the following:
2. 1. Identification of a relevant research problem
3. 2. Critical analysis of the literature
4. 3. Understanding the theoretical framework
5. 4. Development of the research design
6. 5. Empirical implementation, methods and analysis of results
7. 6. Implications and contribution to the field
8. 7. Writing up
8. Communicating scientific findings in management
The thesis is evaluated in a public session by a jury of national and international academics experts in the field. The evaluation is based on the thesis' scientific merit and contribution to advance knowledge in the field.
BibliographyPhd Thesis in Management
No final da unidade curricular os alunos devem ser capazes de:
OA1: desenvolver e comunicar investigação científica numa das seguintes áreas da gestão: Contabilidade; Recursos Humanos e Comportamento Organizacional; Marketing; Gestão de Operações, Logística e Gestão da Cadeia de Abastecimento; Métodos quantitativos Aplicados à Gestão; Estratégia e Empreendorismo.
OA2: concluir e defender uma tese que contribua para o avanço do conhecimento numa das áreas da gestão acima referidas. At the end of the unit students should be able to:
LG1: develop and communicate scientific research in one of the following areas of Management: Accounting; Human Resources and Organizational Behavior; Marketing; Operations Management, Logistics and Supply Chain Management; Quantitative Methods applied to Management; Strategy and Entrepreneurship.
LG2: conclude and defend a PhD thesis that contributes to advance knowledge in one of the areas of Management abovementioned
1. Development of a PhD thesis that includes the following:
2. 1. Identification of a relevant research problem
3. 2. Critical analysis of the literature
4. 3. Understanding the theoretical framework
5. 4. Development of the research design
6. 5. Empirical implementation, methods and analysis of results
7. 6. Implications and contribution to the field
8. 7. Writing up
8. Communicating scientific findings in management
The thesis is evaluated in a public session by a jury of national and international academics experts in the field. The evaluation is based on the thesis' scientific merit and contribution to advance knowledge in the field.
BibliographyPhd Thesis in Management
No final da unidade curricular os alunos devem ser capazes de:
OA1: desenvolver e comunicar investigação científica numa das seguintes áreas da gestão: Contabilidade; Recursos Humanos e Comportamento Organizacional; Marketing; Gestão de Operações, Logística e Gestão da Cadeia de Abastecimento; Métodos quantitativos Aplicados à Gestão; Estratégia e Empreendorismo.
OA2: concluir e defender uma tese que contribua para o avanço do conhecimento numa das áreas da gestão acima referidas. At the end of the unit students should be able to:
LG1: develop and communicate scientific research in one of the following areas of Management: Accounting; Human Resources and Organizational Behavior; Marketing; Operations Management, Logistics and Supply Chain Management; Quantitative Methods applied to Management; Strategy and Entrepreneurship.
LG2: conclude and defend a PhD thesis that contributes to advance knowledge in one of the areas of Management abovementioned
1. Development of a PhD thesis that includes the following:
2. 1. Identification of a relevant research problem
3. 2. Critical analysis of the literature
4. 3. Understanding the theoretical framework
5. 4. Development of the research design
6. 5. Empirical implementation, methods and analysis of results
7. 6. Implications and contribution to the field
8. 7. Writing up
8. Communicating scientific findings in management
The thesis is evaluated in a public session by a jury of national and international academics experts in the field. The evaluation is based on the thesis' scientific merit and contribution to advance knowledge in the field.
BibliographyPhd Thesis in Management
No final da unidade curricular os alunos devem ser capazes de:
OA1: desenvolver e comunicar investigação científica numa das seguintes áreas da gestão: Contabilidade; Recursos Humanos e Comportamento Organizacional; Marketing; Gestão de Operações, Logística e Gestão da Cadeia de Abastecimento; Métodos quantitativos Aplicados à Gestão; Estratégia e Empreendorismo.
OA2: concluir e defender uma tese que contribua para o avanço do conhecimento numa das áreas da gestão acima referidas. At the end of the unit students should be able to:
LG1: develop and communicate scientific research in one of the following areas of Management: Accounting; Human Resources and Organizational Behavior; Marketing; Operations Management, Logistics and Supply Chain Management; Quantitative Methods applied to Management; Strategy and Entrepreneurship.
LG2: conclude and defend a PhD thesis that contributes to advance knowledge in one of the areas of Management abovementioned
1. Development of a PhD thesis that includes the following:
2. 1. Identification of a relevant research problem
3. 2. Critical analysis of the literature
4. 3. Understanding the theoretical framework
5. 4. Development of the research design
6. 5. Empirical implementation, methods and analysis of results
7. 6. Implications and contribution to the field
8. 7. Writing up
8. Communicating scientific findings in management
The thesis is evaluated in a public session by a jury of national and international academics experts in the field. The evaluation is based on the thesis' scientific merit and contribution to advance knowledge in the field.
BibliographyRecommended optative
Optional courses are subject to a minimum number of enrollments.
2nd semester
00391 | Model Testing (IBS | Mkt)
02199 | Qualitative Analysis and Model Building in Organizational Research (IBS | CO)
02385 | Statistical Learning (IBS | EAD)
Accreditations