R&D and Intellectual Property

NBD404 R&D and Intellectual Property

  • Topics

    Topics

     Business innovation and success are massively affected by the characteristics of its institutional environment; subsidized funding possibilities and rewards for innovation such as prizes and intellectual property rights (e.g., patents) are among the prominent ones. In the course we work on understanding these institutions and their consequences for the innovation process. We discuss the benefits and challenges of cumulative innovation, patents- and copyright enforcement, and IP licensing. Furthermore, we analyze the interplay between specific business and market conditions (e.g., competition, network effects) and the incentives to innovate. Thereby, we also focus on the optimal organization of the innovation process (e.g., in joint ventures) and the importance of the market for innovation (specialization on innovation vs. in-house innovation). In a nutshell, the course provides a toolbox to analyze the ingredients for and threats to a successful commercial viability of innovations

  • Learning outcome

    Learning outcome

     

    Knowledge - Upon successful completion the student

    • has advanced knowledge of theories on R&D and intellectual property.
    • has thorough knowledge to reflect critically on theories and empirical findings.
    • can demonstrate to be familiar with research in the fields of R&D and intellectual property.

    Skills - Upon completion of the course the student

    • has acquired skills in applying theories, knowledge and tools relevant within innovation and intellectual property.
    • has developed good analytical skills.
    • can undertake an research project on innovation and intellectual property.

    Competences - Upon completion of the course the student

    • can analyze relevant literature and has the insights to connect theory with practice.
    • can reflect critical on theories, methods, tools and data within the field.

    has developed collaborative and co-creative skills.

  • Requirements for course approval

    Requirements for course approval

    One group assignments (approved/not approved). Note: There might be compulsory activities in the course prior to the registration deadline.

  • Assessment

    Assessment

    4 hour written school exam

  • Grading Scale

    Grading Scale

    A-F

  • Computer tools

    Computer tools

    Knowledge of a statistical software will be helpful for the group assignment.

  • Semester

    Semester

    Autumn

  • Literature

    Literature

    To be announced

Overview

ECTS Credits
7.5
Teaching language
 English
Semester
Autumn

Course responsible

 Steffen Juranek / Malin Arve