BST 1140 Business Development and Digitalisation

BST 1140 Business Development and Digitalisation

Course code: 
BST 1140
Strategy and Entrepreneurship
Course coordinator: 
Tarjei Alvær Heggernes
Course name in Norwegian: 
Forretningsutvikling og digitalisering
Product category: 
Bachelor - Programme Electives
2022 Autumn
Active status: 
Level of study: 
Teaching language: 
Course type: 
One semester

The course shall give the students in-depth, management-oriented knowledge and understanding of how enterprises may apply modern information and communication technology to strengthen their competitive position. Our perspective is that the right focus and good application of ICT may make enterprises more efficient and constitute an important factor in innovation processes, or form a central element in the products supplied and services provided by the enterprise. Furthermore, we emphasize that the smart use of information technology opens for a more efficient dialogue with the market, not least in connection with the application of e-marketing and WEB shops. The course is intended to provide the students with an understanding of the problems that are important in connection with the management of IT drives that support business utilization of information technology through the implementation of an IT strategy.

The students are to learn how digital business processes are developed, improved and utilized. The students are also to learn how digital business processes work together with knowledge processes in an organization and between organizations. The students are to learn how business strategy interacts with the strategic use of IT in an optimal way for digital enterprise development.

Learning outcomes - Knowledge

On completion of the course the students are to be able to:

  • Understand the different types of business information systems and technology used by organizations
  • Know the structure and components of a modern systems architecture 
  • Know of digital tools for end-user automation
  • Understand the theoretical foundations of digitalization
  • Understand theories and models for digital innovation
  • Understand the connection between digital technology, business processes and business development.
  • Understand how digital business development may be carried out in the three value configurations (chains, shops and networks)
Learning outcomes - Skills

On completion of the course the students shall:

  • Be able to describe the way systems and process work together (process digitalization)
  • Be able to analyse the consequences for the enterprise resulting from the introduction of digital business operations
  • Be able to formulate requirements for functional solutions 
  • Be able to do digital innovation
  • Be able to create prototypes for digital solutions
  • Be able to use digital tools for task automation
General Competence

On completion of the course the students shall:

  • Have a holistic perspective on digitalization, including ethical considerations
  • Have curiosity towards and interest in digital innovation
  • An ability to acquaint themselves with the everyday digital life of enterprises
Course content

Digital technology in organizations

  • The role of digital systems in a business
  • Different types of digital systems (business systems)
  • Different forms of digitalization
  • The digital revolution - business and technology understanding

Information systems and technology

  • Information systems (digital systems)
  • Hardware and infrastructures
  • Technological development

Enterprise and systems architecture

  • Processes, technology and people
  • Standardization and integration
  • Technology platforms, cloud services and ecosystems
  • Business systems and system architecture
  • The Internet of Things
  • Data integration, interfaces and mobile devices
  • Data security and vulnerability

Business development with digital technology

  • Strategic, tactical and operational changes
  • Situational awareness
  • Business processes: analysis and change
  • Data structures and information flow

Data-driven organizations

  • Big data and artificial intelligence
  • Insights and data-driven decisions
  • Data-driven business models

Privacy and ethics

  • Privacy and GDPR
  • Digital dilemmas
  • Sustainability

Digital innovation

  • Innovation processes and uncertainty
  • Alternative development methodologies
  • Different project forms
  • Digital service design
  • Digital procurement
  • Organizing for digital innovation

Digital skills

  • Collaboration tools in digital organizations
  • Simple coding
  • Simple automation: Chatbot and Robotic Process Automation (RPA)
  • Data analysis: from Excel to dashboard
  • Introduction to machine learning
  • E-commerce
Teaching and learning activities

The course is carried out with a number of tools such as digital teaching, classroom teaching with lectures, examples, group assignments and discussions. In addition, various tasks will be given to train digital skills.

See also comment about exam.

Software tools
No specified computer-based tools are required.

Two years of college education in economics and business administration, marketing or equivalent is required for taking the course.


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

Exam category: 
Form of assessment: 
Written submission
Group/Individual (1 - 3)
1 Semester(s)
During the course, students will complete a number of assignments / exercises to practice analytical and practical skills in digitization. This is carried out in the form of a project assignment with several sub-assignments.

In order to promote the best possible learning, the sub-assignments must be submitted along the way for a formative peer review.

The assignments can be solved in groups that work together throughout the semester and submit a joint project assignment.

All sub-assignments are submitted together for the group at the end of the semester.

All exams must be passed to obtain a final grade in the course.
Exam code: 
Grading scale: 
Examination when next scheduled course
Exam category: 
Form of assessment: 
Structured test
1 Hour(s)
All exams must be passed to obtain a final grade in the course.
Exam code: 
Grading scale: 
Examination every semester
Type of Assessment: 
Ordinary examination
All exams must be passed to get a grade in this course.
Total weight: 
Student workload
60 Hour(s)
Parts of the campus teaching can be carried out as digital teaching across campuses.
Prepare for teaching
150 Hour(s)
Group work / Assignments
150 Hour(s)
Student's own work with learning resources
30 Hour(s)
Feedback activities and counselling
10 Hour(s)
Sum workload: 

A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 15 ECTS credit corresponds to a workload of at least 400 hours.