GRA 2261 Managing for Excellence - Generative Practices

GRA 2261 Managing for Excellence - Generative Practices

Course code: 
GRA 2261
Department: 
Leadership and Organizational Behaviour
Credits: 
6
Course coordinator: 
Arne Carlsen
Course name in Norwegian: 
Managing for Excellence - Generative Practices
Product category: 
Master
Portfolio: 
MSc in Business - Leadership and Change
Semester: 
2026 Spring
Active status: 
Active
Level of study: 
Master
Teaching language: 
English
Course type: 
One semester
Introduction

Managing for excellence is a cap stone course with a triple attention to the action strategies that make people in organizations thrive and grow, what creates extraordinary performances and how to develop more sustainable business. The course has a summary nature and is meant to equip students with a research-based repertoire of knowledge, skills and practical tools as a change leader, whether in a formal role or not. The course draws from positive organizational scholarship, practice-based approaches to achieving excellence in leadership and change, as well as a growing literature on sustainable business.

Learning outcomes - Knowledge
  • Deep knowledge of strenght-based approaches to leading change, as related to positive relationships, positive personal development processes and positive organizational change.
  • Thorough familiarity with the latest research on experiential learning as an approach to leading change, including how it can be enhanced by use of generative AI.
  • Deep understanding of practice-based approached to leading change, including meaning making, collaborative creativity and building change agency. 
Learning outcomes - Skills
  • Practical tools: Students will get familiar with a range of research-based practical tools as a change leader, within all the five thematic areas of the course.
  • Personal development: The course will also offer students possibilities to use theory and tools purposively for their own development as change leaders.
  • Research-based approaches to all phases of change processes, including in particular the opening of situations for joint action and designing and facilitating creative workshops.  
General Competence
  • You as a change leader: Seeding the basis for continuous personal development as change leader with growth mindset for unlocking the hidden potentials of yourself and others.
  • Your repertoir: Enabling the holistic understanding of combination across repertoirs of tools offered in the course, depending on the nature of the situation.
  • Your contributions: Challenging students to engage in continud reflection on their desired contribution as change leaders, also to the wellbeing of others and nature.  
Course content
  • Building quality and energy in interactions: High quality connections and compassion at work, the practices of generative resistance, giving behavior and being a contribution.
  • Experiential learning and generative AI: Unleashing hidden potential through action experiments with deliberate play and prepping.
  • Meaning making: Activating drama, the reflective best-self portrait, callings at work, from prosocial to pro-environmental motivation.
  • Sustainable business: Building sustainability engagement, the sustainable business case simulator and materiality analysis.
  • Positive organizational change: The theory and tools of appreciative inquiry, acting on the progress principle to build self-efficacy and mastery climate; fostering change agency.
Teaching and learning activities
  • Interactive lectures with rich examples: Presentation and discussion of theories and examples from leading organizations in all the major areas of the course.
  • Case based learning: In-class case preparations and discussions of a series of real-world cases, including the solving of mini-cases.
  • Mastering experiential learning: Introduction to a range of practical tools for leading change, including active experimentation by students within and between classes.

Computer-based tools: It's learning/homepage, Padlet; Menti

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

This is a course with mandatory coursework requirements (75% attendance + small assignments). Both work requirements must be approved to be able to sit for the exams.

It is the student’s own responsibility to obtain any information provided in class.

Qualifications

All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.

Disclaimer

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

Mandatory courseworkCourseworks givenCourseworks requiredComment coursework
Mandatory11Class attendance (minimum 75%)
Mandatory46A selection of small written assignments is given. A complete list of assignments will be published at the start of the course on itslearning. At least 4 out of 6 assignments must be submitted and approved.
Mandatory coursework:
Mandatory coursework:Mandatory
Courseworks given:1
Courseworks required:1
Comment coursework:Class attendance (minimum 75%)
Mandatory coursework:Mandatory
Courseworks given:4
Courseworks required:6
Comment coursework:A selection of small written assignments is given. A complete list of assignments will be published at the start of the course on itslearning. At least 4 out of 6 assignments must be submitted and approved.
Assessments
Assessments
Exam category: 
Submission
Form of assessment: 
Submission PDF
Exam/hand-in semester: 
First Semester
Weight: 
100
Grouping: 
Individual
Duration: 
48 Hour(s)
Comment: 
Home examination that draws from i) students' work requirement assignments, ii) connecting theory across course themes, and iii) solving mini-cases.
Exam code: 
GRA 22614
Grading scale: 
ECTS
Resit: 
Examination when next scheduled course
Type of Assessment: 
Ordinary examination
Total weight: 
100
Student workload
ActivityDurationComment
Teaching
30 Hour(s)
Student's own work with learning resources
60 Hour(s)
Submission(s)
16 Hour(s)
Seminar groups
24 Hour(s)
Examination
30 Hour(s)
Sum workload: 
160

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.

Reading list