364-1020-01L Methods in Management Research: Methodological Fit in Management Research
| Semester | Spring Semester 2023 |
| Lecturers | |
| Periodicity | yearly recurring course |
| Course | Does not take place this semester. |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | |
|---|---|---|---|---|
| 364-1020-01 S | Methods in Management Research: Methodological Fit in Management Research Does not take place this semester. Block course | 10s hrs |
Catalogue data
| Abstract | This course covers available methodologies and research design in management research, measurement and validity issues, and a broad overview of the main quantitative and qualitative methods. Students will reflect on the fit between research question and research design in their own research field. | ||||||||||||||||||
| Learning objective | The course aims to support students in: • knowing basic quantitative and qualitative research methods • understanding what data each method needs and what outcomes it can provide, as well as its advantages and disadvantages • understanding how to link a research question to an appropriate research design and method • acquiring a basic understanding of how each method works (e.g., which software to use) • having an idea of how to apply these methods to one's own research • having a group of peers to share ideas and feedback with | ||||||||||||||||||
| Content | This course covers basic methodological topics relevant to research in the management field, including available methodologies (inductive, deductive) and research design (e.g., interviews, field survey, lab experiment, secondary data), the definition and measurement of constructs, validity, the choice of data collection and data analysis methods. A broad overview of the main quantitative (ANOVA, regression, path analysis, SEM, multilevel models, growth models) and qualitative methods (thematic analysis, grounded theory) currently used in management research will also be provided, together with a brief analysis of the advantages and disadvantages of each method. Topics related to research design, including pre-registration, power analysis, and data management, as well as level of analysis and temporal issues (in particular related to data collection) can also be discussed, depending on the interest of the class. Finally, the course will cover fit between research question, research design, and methods of data analysis. | ||||||||||||||||||
| Literature | (Refer to Syllabus and Moodle) | ||||||||||||||||||
| Prerequisites / Notice | Students should: (1) Be able to read and understand academic papers, including both empirical papers and method papers, to facilitate and actively participate to the class discussions; (2) Download SPSS and R + R Studio before the course to be able to conduct hands-on exercises in class; (3) complete a short survey that the instructor will share before the course, with he goal of optimising course organisation. | ||||||||||||||||||
Competencies |
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Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 1 credit |
| Examiners | F. Magni |
| Type | ungraded semester performance |
| Language of examination | English |
| Repetition | Repetition only possible after re-enrolling for the course unit. |
Learning materials
| Main link | Methods in Management Research 2023 |
| Only public learning materials are listed. | |
Groups
| No information on groups available. |
Restrictions
| Places | 15 at the most |
| Waiting list | until 07.03.2023 |
| End of registration period | Registration only possible until 28.02.2023 |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| Doctorate Management, Technology, and Economics | Management | W | |