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DEGREE REGULATIONS & PROGRAMMES OF STUDY 2015/2016

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DRPS : Course Catalogue : School of Social and Political Science : Postgrad (School of Social and Political Studies)

Postgraduate Course: Innovation Systems Theory and Practice (PGSP11426)

Course Outline
SchoolSchool of Social and Political Science CollegeCollege of Humanities and Social Science
Credit level (Normal year taken)SCQF Level 11 (Postgraduate) AvailabilityAvailable to all students
SCQF Credits10 ECTS Credits5
SummaryThis course provides an introduction to the theory of innovation systems (national, sectoral and technological etc) using a range of case examples in national and international contexts, covering both high and low resource settings. The course also provides students with the necessary knowledge, skills and understanding to critique and apply methods of foresight and scenario analysis. The course requires no prior knowledge of the area, and will provide students with a foundational understanding of the theories and practices underpinning technological change and innovation from a systems perspective. The focus will be on the relationship among a variety of possible configurations for innovation in different industrial sectors, the processes of structural change, and evaluation of innovative performance.
Course description Is technological innovation contributing to the removal of geographical boundaries? The web, the globalisation of financial markets, the increasing delocalisation of manufacturing towards low-wage countries, the standardisation of intellectual property rights, all are seen as generating a global economy in which nation states and local constituencies have become less relevant. Local economies, however, are characterised by different infrastructures for research, innovation and production and continue to display different rates of technological change and economic growth.

Having emerged in parallel with efforts in economics to include technological change and knowledge dynamics into endogenous growth models, the development of systemic approaches to innovation can be seen as an attempt to provide an answer to this apparent paradox. From an interdisciplinary and historical perspective, this course provides an introduction to the theory of innovation systems (national, sectoral and technological etc.,) using a range of case examples in national and international contexts, covering both high and low resource settings. The course also provides students with the necessary knowledge, skills and understanding to critique and apply methods of foresight and scenario analysis. The course requires no prior knowledge of the area, and will provide students with a foundational understanding of the theories and practices underpinning technological change and innovation from a systems perspective. The focus will be on the relationship among a variety of possible configurations for innovation in different industrial sectors, the processes of structural change, and evaluation of innovative performance.

This course, which requires no prior knowledge of the area, is designed to provide a much needed introduction for students to concepts and methods at the centre of contemporary studies of technological change and innovation including technological systems, industrial clusters and sectoral, regional, and national innovation systems.


Entry Requirements (not applicable to Visiting Students)
Pre-requisites Co-requisites
Prohibited Combinations Other requirements None
Information for Visiting Students
Pre-requisitesNone
High Demand Course? Yes
Course Delivery Information
Academic year 2015/16, Available to all students (SV1) Quota:  30
Course Start Block 2 (Sem 1)
Timetable Timetable
Learning and Teaching activities (Further Info) Total Hours: 100 ( Lecture Hours 20, Programme Level Learning and Teaching Hours 2, Directed Learning and Independent Learning Hours 78 )
Assessment (Further Info) Written Exam 0 %, Coursework 100 %, Practical Exam 0 %
Additional Information (Assessment) 3000 word Essay (100%)
Feedback Not entered
No Exam Information
Learning Outcomes
On completion of this course, the student will be able to:
  1. Critical understanding of the innovation system, in the context of competing theoretical approaches, including the recent focus on innovation ecosystems, and in-depth knowledge and understanding of the key factors determining system behaviour.
  2. Knowledge and understanding of the key components of an innovation system its enablers and constraints - and how the overall system functions in different technology and industry sectors
  3. Ability to critically analyse, and use, foresight as a method to construct and plan for particular technology futures.
  4. Critical awareness of the challenges in planning and coordinating an innovation policy strategy for economic development.
Reading List
Breschi S and Lissoni F (2001) Knowledge Spillovers and Local Innovation Systems: A Critical Survey, ICC, 10 (4), 975-1005.

Cooke P (2001), Regional Innovation Systems, Clusters, and the Knowledge Economy, ICC, 10 (4): 945-974.

Foresight (2011) The Future of Food and Farming: challenges and choices for global sustainability. London: Government office for Science. https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/288329/11-546-future-of-food-and-farming-report.pdf

Jefferson R. 2012. Shell scenarios: What really happened in the 1970s and what may be learned for current world prospects. Technological Forecasting and Social Change 79(1): 186-97.

Malerba F (2002), Sectoral systems of innovation and production, Research Policy 31(2), 247-264.

Maskell P. (2001), Towards a Knowledge-based Theory of the Geographical Cluster, ICC, vol. 10 (4), 921- 943.

Metcalfe S, and Ramlogan R, 2005 Innovation Systems and the Competitive Process in Developing Countries, The Quarterly Review of Economics and Finance, 48, 433-446.

Nelson RR, Nelson K (2002), Technology, institutions, and innovation systems Research Policy, 31(2), 265-272.

UK Synthetic Biology Roadmap Coordination Group (2012) A Synthetic Biology Roadmap for the UK. http://www.rcuk.ac.uk/RCUK-prod/assets/documents/publications/SyntheticBiologyRoadmap.pdf

Weber E, Eriksson A and K Matthias. 2008. Adaptive Foresight: Navigating the complex landscape of policy strategies. Technological Forecasting and Social Change. 75:462-482.

Wilkinson A. 2009. Scenarios Practices: In Search of Theory. Journal of Futures Studies 13:107-114.
Additional Information
Graduate Attributes and Skills Not entered
KeywordsNot entered
Contacts
Course organiserDr Geoffrey Banda
Tel: (0131 6)50 6391
Email: Geoffrey.Banda@ed.ac.uk
Course secretaryMiss Kate Ferguson
Tel: (0131 6)51 5122
Email: kate.ferguson@ed.ac.uk
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