Study Guide

Learning outcomes

The student is able to
- explain the relevant concepts of innovation and innovation process
- drive the innovative processes and creatively overcome the impediments of innovation, in or between, organizations and the emerging business opportunity
- use different idea generation tools

Implementation and methods of teaching

A different perspective and alternative approach to the world of innovations.This course is a virtual online course that includes three scheduled virtual contact sessions. Participants will engage in independent work both individually and in group settings.

Timing and attendance

The course is structured into main content blocks, with online sessions on the following dates:

• Innovativeness and creativity in the redesign of innovation management: 6.2.2024.
• Innovation activities at the organizational level: 5.3.2024.
• Team-level innovating tools and methods, leading innovation activities in practice: 23.4.2024.
• The schedule for the on-demand content will be announced at the beginning of the course.

Attendance at scheduled online sessions is expected, while on-demand materials can be accessed at the student's convenience.

Learning material and recommended literature

Participants will be informed about the relevant literature and required materials through Moodle.

Alternative completion methods

There are no alternative methods for completing this course.

Working life cooperation

The course includes case studies and examples from current business practices, highlighting the application of innovation and innovativeness-related concepts.

Learning environment

The learning environment consists of:

• Online sessions via Zoom.
• Moodle for on-demand content, assignments and online forums for group discussions.

Student time use and work load

The course is valued at 5 ECTS, indicating a total workload of approximately 133 hours. This workload is distributed across individual study, group work, and participation in online sessions.

Contents

The course covers the following key areas:

• The role of innovativeness and creativity as an organization’s success and driving force.
• Development of innovation capabilities and processes.
• Traditional and modern approaches to innovation activities at the organizational level.
• Idea creation and innovation scouting at the team level.
• Practical applications of innovations and innovativeness.

Additional information for students: previous knowledge etc.

A foundational knowledge of business principles is beneficial.

Assessment criteria

Individual learning assignments.
Group learning assignments.
Participation and activeness during the online lectures.

Assessment scale

1-5

Failed (0)

The student does not fulfill the basic requirements of the course. There is a clear lack of understanding of the core principles of business analytics, difficulty in applying theoretical knowledge in practical contexts, or a failure to submit essential assessments.

Assessment criteria: level 1 (assessment scale 1–5)

The student has a minimal understanding of the concepts of knowledge management and business analytics. Basic concepts are recognized, but applying these ideas and performing critical analysis proves difficult. The student's work includes notable mistakes or omits important content, showing a struggle to produce coherent outcomes.

Assessment criteria: level 3 (assessment scale 1–5)

The student shows a good understanding of the course material and can apply key principles of business analytics in common situations. Although the analysis and strategic development are structured appropriately, they may lack some complexity, creativity, or detail. The understanding of the integration of analytics with innovation processes is evident, but it might not be particularly inventive.

Assessment criteria: level 5 (assessment scale 1–5)

The student excels in understanding and applying the concepts of business analytics and knowledge management. The student can analyze complex situations in depth, create cutting-edge strategies, and formulate comprehensive plans for data-driven innovation. The student's ability to strategize and optimize data use is evident, and the student’s work represents a thoughtful, strategic approach to combining analytics with innovative decision-making for industry leadership.