Insegnamento a.a. 2026-2027

21038 - APPLIED RESEARCH METHODS FOR BUSINESS INSIGHT

Department of Management and Technology


Course taught in English
Go to class group/s: 31
ACME (6 credits - I sem. - OP  |  SECS-P/10) - AFM (6 credits - I sem. - OP  |  SECS-P/10) - AI (6 credits - I sem. - OP  |  SECS-P/10) - CLMG (6 credits - I sem. - OP  |  SECS-P/10) - DSBA (6 credits - I sem. - OP  |  SECS-P/10) - EMIT (6 credits - I sem. - OP  |  SECS-P/10) - ESS (6 credits - I sem. - OP  |  ECON-08/A  |  SECS-P/10) - FIN (6 credits - I sem. - OP  |  SECS-P/10) - GIO (6 credits - I sem. - OP  |  SECS-P/10) - IM (6 credits - I sem. - OP  |  SECS-P/10) - MM (6 credits - I sem. - OP  |  SECS-P/10) - PPA (6 credits - I sem. - OP  |  SECS-P/10)
Course Director:
MASSIMO MAGNI

Classes: 31 (I sem.)
Instructors:
Class 31: MASSIMO MAGNI


Mission & Content Summary

MISSION

One of the most valuable skills in business decision making is the ability to read a context and formulate the right questions before searching for answers. This course combines individual critical skills with the use of generative AI tools as sparring partners to support problem framing, exploratory analysis, and the refinement of research questions. The course introduces students to the design of rigorous empirical research projects, covering the definition of concepts and hypotheses, survey design, data collection, and quantitative data analysis. Particular attention is devoted to transforming management concepts such as motivation, climate, well-being, learning, or performance into observable and measurable variables that can support managerial decisions. The course also focuses on the critical interpretation and effective communication of research results. Throughout the course, AI tools are used to strengthen reflection, analysis, and research design within a rigorous data-driven approach.

CONTENT SUMMARY

The main topics of the course focus on applying a quantitative research-based approach to managerial problems by blending individual critical thinking skills and AI as sparring partner. The course seeks to answer the following questions by blending research-based methodology and managerial problems:

 

  • Formulating the right research question: Why do I need a research-based approach? What is my goal?
  • Transforming the research idea into testable hypotheses: How can I convert my initial assumption into hypotheses that can be empirically tested?
  • Developing a questionnaire to test the hypotheses: How can I measure my main concepts (e.g., productivity, well-being, satisfaction)? How can I design an effective questionnaire to measure them?
  • Analyzing and interpreting data with regression analyses: What analytical method best aligns with my research goal? What do the results reveal?
  • Presenting the findings to a managerial audience: How can I craft the key messages from my evidence?

Intended Learning Outcomes (ILO)

KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...
  • Use AI as a sparring partner to re-frame problems and managerial questions
  • Identify the methodological foundations underlying empirical analysis in management topics
  • Distinguish a management research question that is relevant, interesting, and measurable
  • Recognize the main strategies to effectively present results and managerial messages

APPLYING KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...

• Develop a set of relevant, interesting, and measurable hypotheses in the management field
• Transform management concepts into measurable variables

  • Design an effective and reliable questionnaire

• Conduct a quantitative empirical analysis on managerial data 
• Triangulate quantitative data with qualitative evidence: mixed-method approach
• Interpret and present the results of an empirical management research from a managerial perspective


Teaching methods

  • Lectures
  • Practical Exercises
  • Collaborative Works / Assignments

DETAILS

Learning empirical research methods in the management field is supported by active teaching:

  • Practical Exercises: During course sessions, students learn by actively designing questionnaires, collecting and processing data. For this reason, each lesson includes a mix of lecture and application through group work (both in-class and outside the classroom)
  • Group Assignments: A significant portion of the activities carried out throughout the course contribute to building the group field project, which is the predominant evaluation method for attending students. In particular, developing the field project during the course allows for practical and immediate application of various techniques as they are presented during lesson sessions, from constructing the research question and hypothesis set to developing the data matrix and interpreting results from a managerial perspective. 

Assessment methods

  Continuous assessment Partial exams General exam
  • Written individual exam (traditional/online)
    x
  • Collaborative Works / Assignment (report, exercise, presentation, project work etc.)
x    

ATTENDING STUDENTS

The assessment of learning for students enrolled as 'attending' is carried out through two methods:

 

1. Students are required to complete a group field project (an empirical research project) during the course, agreed upon with the instructor, which accounts for 70% of the final grade. The field project is intended to assess the development of the students' ability to design and carry out empirical research in the field of management.

 

2. In addition, students must complete a written exam consisting of an exercise in commenting on the results of an empirical research study published in a scientific management journal. The results are typically presented in table form and are drawn from sources such as the Academy of Management Journal, Organization Science, or the Strategic Management Journal. This component accounts for 30% of the final grade and must be completed during one of the exam sessions in the academic year in which the field project was conducted. The written exam is designed to assess students’ understanding of the core principles underlying the design and critical interpretation of management research.

 

Important notes:

  • After the final exam session of the academic year, field projects lose their validity, and the 'attending' student assessment method can no longer be applied.
  • The exam is considered passed only if both components — the individual written exam and the group field project — receive a grade of 18 or higher. If either component is failed, the student lose the the "attending student" status.

NOT ATTENDING STUDENTS

The assessment of learning for 'non-attending' students is carried out through a written exam consisting of two parts:

1. The first part includes open-ended questions covering all chapters of the course textbook (theoretical questions that also require at least one example related to the field of management). These open-ended questions are intended to assess the student's understanding of the fundamental knowledge underlying management research.

 

2. The second part consists of an exercise involving commentary on the results of an empirical research study published in a scientific management journal. The results are typically presented in table form and taken from sources such as the Academy of Management Journal, Organization Science, or the Strategic Management Journal. This exercise is designed to assess the student's ability to apply theoretical knowledge in order to interpret empirical research in the field of management.


Teaching materials


ATTENDING STUDENTS

  • Articles/book chapters of empirical research indicated by the instructor
  • Instructor-prepared materials, distributed via the Blackboard 

NOT ATTENDING STUDENTS

  • Scherbaum, C. A., & Shockley, K. M. (2015). Analysing quantitative data for business and management students.
  • Instructor-prepared materials, distributed via the Blackboard 
Last change 25/05/2026 13:05