GRA 8283 Leading and Organizing Digitally
GRA 8283 Leading and Organizing Digitally
Rapid and unpredictable change, emergence of ubiquitous intelligent technology, and the consistent decline of routine work render conventional static organizational designs inadequate and provide a vastly expanded repertoire of available ways to organize work. Participants will learn about the demands and opportunities facing leaders and organizational designers in a digital and AI-enabled work environment. These developments will have consequences for internal processes such as the ways we organize and the way leaders understand their roles. Participants will learn about how the traditional role of leadership needs to adapt to the changing nature of work in the digital age, human-AI collaboration, agile ways of organizing, how leadership relates to learning and innovation, and how digital technologies, as a value-creating resource, may affect leadership.
Upon completion of the course, the student will be able to:
- Explain how digitalization (incl. AI/automation and data-driven tools) reshapes work, coordination, and leadership roles in contemporary organizations.
- Compare and discuss advanced theories and concepts relevant to digital organizing such as sociotechnical perspectives, organizational learning, agile organizing, digital mindsets, and organizational intelligence.
- Explain and evaluate core concepts in human–AI collaboration in organizations and their implications for work, decision making, organizing, and governance.
- Analyze how and when different organizational forms are appropriate for learning, innovation, and digital transformation.
Upon completion of the course, the student will be able to:
- Apply knowledge of human and machine cognition to enhance leadership and organizational processes.
- Design and manage organizations that effectively integrate the "dual-natured" intelligence of both humans and machines.
- Identify various digital mindsets within a team and implement strategies to influence or leverage these mindsets for digital transformation.
- Critically assess opportunities and risks in concrete human–AI collaboration use cases, and specify measures for responsible use
- Design and lead agile, collaborative organizational forms adapted to specific strategic needs.
Upon completion of the course, the student will be able to:
- Critically assess the risks, opportunities, and ethical implications associated with human-AI collaboration and argue for responsible courses of action.
- Integrate an awareness of personal leadership strengths and limitations into the design and management of technology-enabled teams and organizations as well as plan their own leadership development.
- Analyze their own digital mindset beliefs and articulate the implications these beliefs have on others during technological shifts.
- Formulate comprehensive strategies for enabling organizational renewal and change in the context of digital transformation.
- Critically evaluate the appropriateness of different organizational forms under varying purposes and conditions.
- Digital work and AI: Changing nature of work, AI foundations, automation and augmentation, And the impact of AI on work.
- Decisions, bots, and accountability: AI and decision-making, bias and algorithmic accountability, bots, and build your own bot exercise (part 1).
- Digital change and resistance: Confronting and managing technology resistance, digital mindsets, and implications for leadership and employee engagement
- Agile and hybrid organizing: Collaborative organizational designs, agile methods and organizing, and hybrid work
- Organizational intelligence: Build your own bot exercise (part 2), organizing for intelligence, and summary and conclusion
1 ECTS credit corresponds to a workload of 26-30 hours.
The course is created around five whole days. On these days, the students will meet a mixture of practical cases, lectures and group discussions as well as guest speakers. Throughout the week, the students will work in groups to present and discuss real cases that illustrate or criticize the concepts offered throughout the course week. Finally, the students are required to write their own leadership development plan for advancing their digital leadership skills.
Attendance to all sessions in the course is compulsory. If you have to miss part(s) of the course you must ask in advance for leave of absence. More than 25% absence in a course will require retaking the entire course. It's the student's own responsibility to obtain any information provided in class that is not included on the course homepage/ It's learning or other course materials.
Candidates may be called in for an oral hearing as a verification/control of written assignments.
The course is a part of a full Executive MBA programme and examination in all courses must be passed in order to obtain a certificate.
In all BI Executive courses and programmes, there is a mutual requirement for the student 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.
Granted admission to the EMBA programme. Please consult our student regulations.
Disclaimer
Changes in exam type can be made until the course starts. In addition, unforeseen events or external conditions may call for deviations in teaching and exams.
| Assessments |
|---|
Exam category: Submission Form of assessment: Submission PDF Exam/hand-in semester: First Semester Weight: 70 Grouping: Individual Duration: 4 Week(s) Exam code: GRA 82832 Grading scale: ECTS Resit: Examination when next scheduled course |
Exam category: Submission Form of assessment: Submission PDF Exam/hand-in semester: First Semester Weight: 30 Grouping: Group (2 - 8) Duration: 4 Week(s) Comment: Group assignment, counts 30% of the final grade. Group reflection note: The student groups prepare one case each that they present and lead a discussion of in class. The students outline the main lessons that can be learned from the case, assess how they facilitated the class discussion, and propose what they would do differently if they where to do a similar exercise again. Exam code: GRA 82833 Grading scale: ECTS Resit: Examination when next scheduled course |
All exams must be passed to get a grade in this course.
| Activity | Duration | Comment |
|---|---|---|
Teaching | 32 Hour(s) | |
Prepare for teaching | 25 Hour(s) | |
Student's own work with learning resources | 63 Hour(s) | Self study, feedback activities/counselling and exam |
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.
Individual professional development plan:
The assignment consists of two main parts: 1.) Digitalization Analysis: Analyze your organization's digitalization challenges and propose specific initiatives to mitigate them. 2.) Digital Leadership: Discuss relevant digital leadership skills, assess your own proficiency, and create a plan for further development.