Course syllabus - Trendspotting in Theory and Practice
Scope
7.5 credits
Course code
INO127
Valid from
Autumn semester 2023
Education level
First cycle
Progressive Specialisation
G1N (First cycle, has only upper-secondary level entry requirements)
Main area(s)
Innovation Technology
Organisation
School of Innovation, Design and Engineering
Ratified
2023-01-19
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Articles
The Big Picture trends, drivers, wild cards, discontinuities and weak signals
URL: Link
"Building a future-proof company Four cornerstones of transformative corporate foresight" in The European Business Review
URL: Link
Escaping the Faster Horses Trap: Bridging Strategic Foresight and Design-Based Innovation
Corporate foresight: Its three roles in enhancing the innovation capacity of a firm.
This is a preprint. Final article can be found at: http://dx.doi.org/10.1016/j.techfore.2010.06.019
Fear of foresight: knowledge and ignorance in organizational foresight
Tomorrow is already here: Exploring how corporate foresight can contribute to ambidexterity
pp.187-200
URL: Link
Miscellaneous
Ytterligare läsmaterial kommer att distribueras via Canvas.
Additional reading material will be distributed via Canvas.
Objectives
The purpose of the course is to provide basic skills in trendspotting and contextual analysis with relevance for innovation and development.
Learning outcomes
After completed the course, the student shall be be able to:
- explain basic concepts, methods and models in trend spotting and contextual analysis,
- plan and carry out systematic scanning- and analysis work, as well as consider ethical aspects in the work,
- explain and discuss the function of trend scanning in innovation and development processes,
- evaluate the quality of sources and assess their relevance regarding reliability in decision-making,
- reflect on and discuss the importance of trends and tendencies for innovation and development.
Course content
Theoretical concepts, models and methods
Relationship between pre-understanding and images of the future
To evaluate the quality of sources
Methods for signal scanning, analysis and foresight reporting
Open and collaborative signal scanning
Ethics in contextual analysis and innovation
Contextual analysis as a basis for decisions in innovation- and development processes
Requirements
Basic eligibility
Examination
Assignment (INL1), 1 credit, marks Fail (U) or Pass (G), (examines learning outcomes 1 and 5)
Assignment (INL2), 2 credits, marks Fail (U), Pass (G) or Pass with distinction (VG), (examines learning outcomes 2 and 4)
Assignment (INL3), 3 credits, marks Fail (U), Pass (G) or Pass with distinction (VG), (examines learning outcomes 3 and 5)
Exercise (OVN1),1,5 credits, marks Fail (U) or Pass (G), (examines learning outcome 2 and 4)
A student who has a certificate from MDU regarding disability study support, can request adaptions for the examination. It is the examiner who takes decisions on any adaptions, based on the certificate and other conditions.
Grade
Three-grade scale
Interim Regulations and Other Regulations
The course overlaps 4 credits with INO106 Trendspotting in Theory and Practice, 4 credits with KIT463 Trendspotting, 4 credits with KIN463 Trendspotting, 4 credits with INO101 Trendspotting, 4 credits with INO115 Contextual Awareness for Innovation and 4 credits with INO238 Foresight for Innovation.
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