MBA 2391 Organisational Management and Control

MBA 2391 Organisational Management and Control

Course code: 
MBA 2391
Department: 
Accounting and Operations Management
Credits: 
4
Course coordinator: 
Hanno Roberts
Course name in Norwegian: 
Organisational Management and Control
Product category: 
Executive
Portfolio: 
MBA China
Semester: 
2024 Autumn
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Learning outcomes - Knowledge

This course addresses the topic of organization design and the related various management control approaches. The course aims to create an understanding of appropriate organizational design for different types of institutions, and build practical skills related to the principles and challenges of designing and implementing contemporary organizations. The latter includes the dynamics and processes of structuring organizations, and the specific ways organizations can set up and use their management control and performance measurement systems. The latter emphasises digitilisation (as teaching process) and digital transformation (as learning substance)

Learning outcomes - Skills

Ability to design an organization suitable for the digital era and use the appropriate management control and performance measurement systems

General Competence

Explain an appropriate organizational design for a given strategy choice.

Course content

The course is broken down into the two elements of Organization Theory & Design, and Management Control, which will be covered in the above order.

Organization theory & design

  • Types of organization design
  • Centralization, decentralization and specialization
  • Types and forms of organizational change
  • Implementing organizational change

Management control

  • Conventional management control (responsibility centers, budgeting, financial performance metrics)
  • Performance measurement systems (non-financial metrics, link to strategy and organisation design, bottom-up use of performance measurement)

Two of the teaching hours in this course are dedicated to CSR, ethics, social and environmental issues.

Teaching and learning activities

The course is conducted as a teaching module, where students have classes all day for four subsequent days, a total of 32 hours.

The aim is to provide immediate value by connecting the course contents with the work experiences of the participants, and to use learning-by-doing as much as possible. The course is structured by means of a mix of lectures, case studies, classroom discussions, in-class quizzes, and a final course assignment. The course is taught entirely in a digital format, with all materials only available in soft copy.

The course is based on Design Thinking and uses a “flipped classroom” model where students work with the materials in advance of class sessions with the latter being used for discussion and interpretation.

It uses Miro as the learning platform throughout, emphasizing collaborative learning within case groups as well as for the course paper. The use of the Miro platform serves several purposes: (1) to promote conceptual thinking through the visualisation of causal relationships and the critical evaluation of these relationships, i.e., how the learning material is understood multidisciplinary, (2) to introduce critical thinking through collaborative learning and peer-to-peer sense-making, i.e., educational value is created in collaborative visual processes, (3) to overcome barriers of interpretation and language through visualisation, (4) to develop the insight that knowledge communities are the future format for the digital era, i.e., to enhance students’ employability and career progression.

All course elements will be equipped with a pre-defined basic template on Miro from which the student journey can be started for each session topic. To further enhance learning, students will have access to three sets of AI tools that embedded in the course design and used iteratively: the generic GPT-UiO for initial comprehension, a PDF AI for analysing reading materials, and Miro’s own built-in AI for visually constructing and refining lines of argument. The AI toolkit might be subject to change due to rapid advances in technology or restrictions on the use of software by the Chinese authorities.

Students will be provided with a protocol for working with the use of the AI tools on the Miro platform.

Students will be required to obtain the two Miro badges “essential skills” and “diagramming & mapping” as part of the course pre-work and to have the appropriate skills to work on Miro visual collaboration platform.

The course is a part of a full MBA and examination in all courses in the MBA programme must be passed in order to obtain a certificate for the MBA degree.
In all BI Executive courses and programmes, there is a mutual requirement for the students and the course responsible regarding the involvement of the student's experience in the planning and implementation of courses, modules and programmes. This means that the student has the right and duty to get involved with their own knowledge and practice relevance, through the active sharing of their relevant experience and knowledge.

Candidates may be called in for an oral hearing as a verification/control of written assignments.

Software tools
Software defined under the section "Teaching and learning activities".
Additional information

In case the course needs to be conducted online, Miro will be used for synchronous classroom lectures, before which all students must also obtain the Miro “collaborative meetings” badge.

Qualifications

Granted admission to the BI-Fudan MBA programme. Please consult our student regulations.

Disclaimer

Deviations in teaching and exams may occur if external conditions or unforeseen events call for this.

Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Submission PDF
Weight: 
40
Grouping: 
Group (2 - 8)
Duration: 
27 Day(s)
Comment: 
Case group work, counts 40% of the total grade.
Exam code: 
MBA 23913
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Exam category: 
Submission
Form of assessment: 
Submission PDF
Weight: 
60
Grouping: 
Group (2 - 8)
Duration: 
27 Day(s)
Comment: 
Final group-based course assignment, counts 60% of the total grade.
Exam code: 
MBA 23914
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
All exams must be passed to get a grade in this course.
Total weight: 
100
Sum workload: 
0

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 4 ECTS credit corresponds to a workload of at least 110 hours.