Магистратура
2026/2027
Научно-исследовательский семинар "Принятие управленческих решений"
Статус:
Курс обязательный (Международный менеджмент / Master in International Management)
Где читается:
Высшая школа бизнеса
Когда читается:
2-й курс, 1 модуль
Охват аудитории:
для своего кампуса
Преподаватели:
Филинов Николай Борисович
Язык:
английский
Кредиты:
3
Контактные часы:
24
Course Syllabus
Abstract
The course is instrumental and methodological in nature: it examines methods, tools (mathematical, informational, digital), procedures, individual and group technologies for the development and adoption of managerial decisions. Unlike other management disciplines that address the question of what managerial decision should be made in a given situation in marketing, human resource management, finance, etc., the course answers the question of how to organise the development and decision-making process using quantitative methods
Learning Objectives
- To develop students’ ability to diagnose the existing processes of managerial decision-making and to design the process of implementation of the proposed managerial interventions.
Expected Learning Outcomes
- Student upon completion of the course applies appropriate DM models for analyzing and improving DM practices in organizations.
- Student upon completion of the course applies Upper Echelon Theory and the concept and tools of Individual DM style analysis for analyzing and improving DM practices in organizations.
- Student upon completion of the course develops recommendations for the development of AI-based solutions aimed at DM improvement.
- Student upon completion of the course applies the Evidence-Based Management methodology for the justification of the proposed managerial intervention(s).
Course Contents
- Typology of Managerial Solutions and Corresponding DM Models
- Evidence-Based Management as a Framework for Justification of Suggested Managerial Intervention
- Top Management Team (Upper Echelons) Theory
- Biases and Noise in Managerial Decision-Making, De-Biasing and Noise Mitigation
- Individual Peculiarities of Managers’ Behavior in DM
- AI and Managerial Decision-Making: The Road Ahead
Assessment Elements
- Class attendanceПосещаемость оценивается исходя из доли посещенных студентом учебных занятий в соответствии со следующей шкалой: Доля посещенных занятий не посещал занятия Балл 0 70% и менее 1 71-73% 2 74-76% 3 77-80% 4 81-83% 5 84-86% 6 87-90% 7 91-93% 8 94-96% 9 97-100% 10
- Individual assignment #1Individual assignment #1 on the topics “Typology of Managerial Solutions and Corresponding DM Models” and “Evidence-Based Management.” Students are asked to describe a managerial task (problem) that is the focal point of their master thesis, and conduct a decision-making process diagnostic using Mintzberg's model, and Evidence-Based Management theory. They have to look at how the decision is being made now (“as is”), analyze the process, looking for the deficiencies and areas for improvement.
- Individual assignment #2Individual assignment #2 on the topics “Top Management Team (Upper Echelons) Theory”, “Biases and Noise in Managerial Decision-Making, De-Biasing and Noise Mitigation”, “Individual Peculiarities of Managers’ Behavior in DM.”
- Individual assignment #3Individual assignment #3 on the topic “AI and Managerial Decision-Making: The Road Ahead”. Students continue analyzing the same problem as in Assignments ## 1 and 2, but now concentrate on the potential use of AI for solving the problem.
Interim Assessment
- 2026/2027 1st module0.3 * Individual assignment #1 + 0.3 * Individual assignment #2 + 0.3 * Individual assignment #3 + 0.1 * Class attendance
Bibliography
Recommended Core Bibliography
- Alex Mintz, & Dmitry (Dima) Adamsky. (2019). How Do Leaders Make Decisions? : Evidence From the East and West, Part A. Bingley: Emerald Publishing Limited. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=2107620
Recommended Additional Bibliography
- George Wu, & Kathleen L. McGinn. (2017). Decision Analysis. HBP Education Case Study Collection.