Digitalization and Management

The course is offered as a freestanding course.

The course can be part of the following programme: 1) Bachelor's Programme in Business and Economics (S1EKA)

Admission to the course requires the student to have completed FEK101 Business Administration, Organization and Leadership, 7.5 credits, FEK102 Business Administration, Marketing, 7.5 credits, FEK103 Business Administration, Financial Accounting, 7.5 credits and FEK104 Business Administration, Management Accounting, 7.5 credits or FEG100 Business Administration 1, 30 credits, or equivalent.

The course Digitalization and Management, 15 credits, consists of two sub-courses. The first sub-course is more general and deals with how digitalization affects organizations and their governance. The sub-course is studied by all students. The second sub-course consists of a choice between two specific areas of application: logistics or data-driven decision-making.

• Sub-course 1 Digitalization and Management, 7.5 credits.
The student chooses one of the following sub-courses:
• Sub-course 2 Logistics, 7.5 credits
• Sub-course 3 Data-Driven Decision-Making, 7.5 credits

The sub-courses include various activities and components such as guest lectures by professionals from trade and industry, study visits to companies or workplaces, and laboratory sessions. The course also addresses topics related to sustainable development and ethical considerations in information systems.

Sub-courses
1. Digitalization and Management (Digitalisering och styrning), 7.5 credits
Grading scale: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F)

Content
The sub-course combines theoretical and practical aspects to provide students with a comprehensive understanding of information systems. The theoretical component aims to familiarize students with the concept and functioning of information systems, as well as the challenges they pose in organizational contexts. Additionally, it explores the impact of digitalization on companies and organizations, the significance of technological development for strategic management, and the industry transformations resulting from increased digitalization.
The practical component involves hands-on exercises where students engage with market-leading information systems to acquire fundamental operational skills. They will also be introduced to simplified predictive analysis techniques and participate in a group assignment focusing on the influence of digitalization and digital technologies on contemporary companies and organizations. Through the application of these tools, students have the opportunity to put theoretical knowledge into practice.

Learning outcomes
After passing the sub-course, students shall be able to:

1. explain what is meant by an information system and how digitalization and technological development lead to changes in the strategy and management of organizations,
2. explain and provide examples of essential aspects that need to be considered when making information system-related investments,
3. show basic knowledge of using information systems and predictive analysis to solve work tasks performed within an organization,
4. critically relate to concepts and current issues discussed in the course.

Form of teaching
Lectures, guest lectures, seminars, and laboratory sessions.

Assessment
Learning outcomes 1 and 2 are examined through an individual written exam.
Learning outcome 3 is examined through laboratory sessions and a project work. The project workt is carried out in a group and is presented orally and in writing.
Learning outcome 4 is examined through the written exam, the project work and seminars.

Due to resource constraints, project work, laboratory sessions and seminars can only be performed and assessed within the course dates.

Grades
Grading scale: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F).
To pass the sub-course, a student must have achieved all learning outcomes. This means a passing grade (A-E) on the individual written exam, a passing grade (A-E) for the project work and pass on the laboratory sessions and seminars (G). Points on the individual written exam and the project work are added together and translated into grade A-F for the sub-course.

2. Logistics (Logistik), 7.5 credits
Grading scale: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F)

Content
The sub-course provides an overview of possible applications of information technology (IT) in the field of logistics. A number of the applications are studied in more detail.

Learning outcomes
After passing the sub-course, students shall be able to:

1. describe and explain: basic terminology and concepts in the IT field; central applications of IT support in the logistics field; and, how these applications can contribute to creating value in an organisation,
2. describe and exemplify how IT support in the field of logistics can contribute to creating value in an organisation,
3. conduct basic exercises in a selection of IT-support tools within the logistics area,
4. analyse and assess (starting from relevant theory) ethical aspects of information systems.

Form of teaching
Lectures, seminars and laboratory sessions.

Assessment
Learning outcome 1 is examined via an individual written exam.
Learning outcome 2 is examined via one project work, which is carried out in a group and is presented orally and in writing.
Learning outcome 3 is examined via laboratory sessions.
Learning outcome 4 is examined via the written exam and the project work.

Compulsory attendance: During the course, there may be lectures by visiting speakers and laboratory sessions where attendance is compulsory. A student who does not participate needs to complete a special make-up assignment within the prescribed time.

Due to resource constraints, project work and laboratory sessions can only be performed and assessed within the course dates.

Grades
Grading scale: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F).
To pass the sub-course, a student must have achieved all learning outcomes. This means a passing grade (A-E) on the individual written exam and Pass (G) in all laboratory sessions and project work. The compulsory elements of the sub-course must also be completed. Points on the elements of the course are added together and translated to grade A-F for the sub-course.

3. Data-Driven Decision-Making (Datadrivet beslutsfattande), 7.5 credits
Grading scale: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F)

Content
The sub-course consists of two parts, a theoretical and a practical one. The theoretical part begins with an overview of alternative models regarding decisionmaking in relation to management accounting. This part concludes with a review of models for data-driven decision-making. The purpose of the theoretical overview is to better understand the processes involved in decision-making within organizations.

The practical part starts with the student getting familiarized with digital decisionmaking systems and solving a simpler task. The student then works on a more complex task that forms the basis for data-driven decision-making. The purpose of the practical part is for the student to independently carry out work based on the analysis of relevant data to improve precision and efficiency in decision-making by using data insights, trends, and patterns.

Learning outcomes
After passing the sub-course, students shall be able to:

1. explain orally and in writing relevant aspects regarding decision support systems, decision-making, and data-driven decision-making,
2. use a decision support system to solve a simpler task within an organization,
3. conduct data analysis in order to produce a basis for data-driven decisions,
4. critically relate to definitions and current issues discussed in the course.

Form of teaching
Lectures, guest lectures, seminars, laboratory sessions and project supervision.

Assessment
Learning outcome 1 is examined through an individual written exam and one project work, which is carried out in a group and is presented orally and in writing
Learning outcome 2 is examined through two laboratory sessions.
Learning outcome 3 is examined through the project work.
Learning outcome 4 is examined through the written exam, the project work and seminars.

Compulsory attendance: Guest lectures and laboratory sessions with attendance requirements may occur during the course. A student who does not participate needs to complete a special make-up assignment within the prescribed time.

Due to resource constraints, project work and laboratory sessions can only be performed and assessed within the course dates.

Grades
Grading scale: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F).
To pass the sub-course, a student must have achieved all learning outcomes. This means a passing grade (A-E) on the individual written exam, a passing grade (A-E) for the project work and Pass (G) for laboratory sessions and seminar work. The compulsory elements of the sub-course must also be completed. Points on the written exam and the project work are added together and translated into grade A-F for the sub-course.

For each sub-course, learning outcomes are stated under "Content".

See “Content” (above) for each sub-course.

Language of instruction: Swedish
Teaching in English may occur.

See each sub-course.

If a student who has been failed twice for the same examination element wishes to change examiner before the next examination session, such a request is to be granted unless there are specific reasons to the contrary (Chapter 6 Section 22 HF).

If a student has received a certificate of disability study support from the University of Gothenburg with a recommendation of adapted examination and/or adapted forms of assessment, an examiner may decide, if this is consistent with the course’s intended learning outcomes and provided that no unreasonable resources would be needed, to grant the student adapted examination and/or adapted forms of assessment.

If a course has been discontinued or undergone major changes, the student must be offered at least two examination sessions in addition to ordinary examination sessions. These sessions are to be spread over a period of at least one year but no more than two years after the course has been discontinued/changed. The same applies to placement and internship (VFU) except that this is restricted to only one further examination session.

If a student has been notified that they fulfil the requirements for being a student at Riksidrottsuniversitetet (RIU student), to combine elite sports activities with studies, the examiner is entitled to decide on adaptation of examinations if this is done in accordance with the Local Rules Regarding RIU Students at the University of Gothenburg.

The grading scale comprises: Excellent (A), Very good (B), Good (C), Satisfactory (D), Sufficient (E) and Fail (F).

A passing grade for sub-course 1 in combination with a passing grade in the selected application course is required for a passing course grade. Points from graded examination elements in each sub-course are added up and translated into a course grade.

Grade (Definition) Characteristic:
A (Excellent) A distinguished result that is excellent with regard to theoretical depth, practical relevance, analytical ability and independent thought.

B (Very good) A very good result with regard to theoretical depth, practical relevance, analytical ability and independent thought.

C (Good) The result is of a good standard with regard to theoretical depth, practical relevance, analytical ability and independent thought and lives up to expectations.

D (Satisfactory) The result is of a satisfactory standard with regard to theoretical depth, practical relevance, analytical ability and independent thought.

E (Sufficient) The result satisfies the minimum requirements with regard to theoretical depth, practical relevance, analytical ability and independent thought, but not more.

F (Fail) The result does not meet the minimum requirements with regard to theoretical depth, practical relevance, analytical ability and independent thought.

Some occasional examination elements of the course may have the grading scale UG (Fail/Pass).

A course evaluation is conducted anonymously either digitally via the course website or via a written questionnaire handed out at the last scheduled meeting of the course or in connection with the exam. The results of the evaluation are to be communicated to students via the course meeting and course website.
The results of and possible changes to the course will be shared with students who participated in the evaluation and students who are starting the course.

The course cannot be part of the 90 credits (with successive specialisations) that is required in the Degree of Bachelor in business administration main field of study.

The School of Business, Economics and Law has an AI policy regarding the use of generative AI or similar tools. General rules and guidelines for the use of such tools are published and updated on the course's learning platform together with specific provisions applicable to this course.