Syllabus

Title
2166 Elective - Innovation Performance Management
Instructors
Klaus Marhold, Ph.D.
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
09/09/20 to 09/16/20
Registration via LPIS
Notes to the course
Dates
Day Date Time Room
Tuesday 10/13/20 02:00 PM - 04:00 PM Online-Einheit
Wednesday 10/28/20 02:00 PM - 06:00 PM Online-Einheit
Wednesday 11/11/20 02:00 PM - 06:00 PM Online-Einheit
Wednesday 11/25/20 02:00 PM - 06:00 PM Online-Einheit
Wednesday 12/02/20 02:00 PM - 06:00 PM Online-Einheit
Wednesday 12/09/20 02:00 PM - 06:00 PM Online-Einheit
Wednesday 12/16/20 02:00 PM - 06:00 PM Online-Einheit
Procedure for the course when limited activity on campus

This class is designed as an online-only class.

Contents

In a time of rapidly evolving technologies and new disruptive business models, innovation is a key factor in creating competitive advantage. This is also reflected in the numerous scientific publications which investigate various dimensions and determinants of firms' innovation performance. Starting with a close look at how one can actually define innovation performance (Is it the quantity of innovation produced, or rather the quality?) this course focuses on various factors that affect an organization's innovation performance and how to influence them.

Key topics discussed will include:

  • Measuring innovation performance
    What measures exist and when does it make sense to use them?
  • External collaboration and knowledge sourcing for innovation
    How can firms form alliances to develop innovation? How can a firm utilize M&As to acquire innovative firms and then benefit from the transaction?
  • Startups as a source of innovation
    How can firms leverage collaboration with startups to increase innovation performance? How do CVC (corporate venture capital) investments affect the investor's innovation performance?
  • The human side of innovation performance
    How do factors such as inventor networks and inventor retention affect the resulting innovation performance? 
  • International innovation performance
    What affects the innovation performance of international subsidiaries? When does innovation off-shoring work?
Learning outcomes

After completing this course students will have the ability to:

  • Explain various measures of innovation performance
  • Explain when innovation performance is or is not a suitable indicator and strategic goal
  • Explain how organizational factors and open innovation activities affect innovation performance
  • Explain how firms can improve their innovation performance

Apart from that, completing this course will contribute to students’ ability to:

  • Efficiently work and communicate in a team
  • Improve their oral and written communication and presentation skills
  • Read and interpret scientific articles


 

Attendance requirements

In order to successfully pass this course, your absence is limited to 20 % of our appointments.

Teaching/learning method(s)

Default mode:
The class will have 7 live sessions. Students are required to attend these sessions, present, and participate in discussion. Each session will feature presentations by the course instructor and students as well as discussions and Q&A. Additionally, students will work on a term paper on a topic of their choice related to innovation performance. In addition to the course sessions, each student will schedule an online 1:1 meeting with the course instructors which can be used for feedback on the planned term paper and any other course-related questions.

 

Asynchronous mode:
Students who are unable to attend the live sessions (due to time difference between Vienna and their location such as US and Canada West Coast, Australia, East Asia, ...), can participate in the class in an asynchronous mode. Participation in the live discussions is replaced with other tasks. All other activities such as term paper and 1:1 meetings remain the same.

Assessment

The final grade of the course will depend on:

  •     Individual participation (20%)
  •     Individual assignments  (20%)
  •     Presentation (20%)
  •     Term paper (40%)

Grading key:
Excellent (1)    ≥ 87,5 %
Good (2)    ≥ 75,0 %
Satisfactory (3)    ≥ 62,5 %
Sufficient (4)    ≥ 50,0 %
Fail (5)    < 50,0 %

Availability of lecturer(s)

by appointment, klaus.marhold@wu.ac.at

Last edited: 2020-06-29



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