| Module Title |
Psychology of Disruptive Innovation |
| Module Code |
PSY1017 (ITS: PSYC116) |
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Faculty |
Psychology |
School |
Science & Health |
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NFQ level |
8 |
Credit Rating |
5 |
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Description
The aim of this module is to provide an introduction to the history and state of the art of psychology, creativity, disruptive innovation. Particular emphasis will be placed on an interdisciplinary approach to defining disruptive innovation and candidate technologies that drive disruption. Additionally, a primer in ethical, legal and other critical considerations of disruptive innovation through technology and impacts on the person and society will be explored. Examples can include cognitive technologies, artificial intelligence, social robotics, and mixed reality.
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Learning Outcomes
1. Identify and analyse key assumptions underpinning definitions and models of disruptive innovation
2. Critically consider the role of psychology in defining, measuring and influencing disruptive innovation
3. Identify and analyse key factors influencing candidate technologies for disruptive innovation
4. Critically consider the behavioural, ethical and legal issues associated with the design, implementation and impacts of disruptive innovation
5. Critically analyse the role of psychology and disruptive innovation in addressing individual and societal issues.
6. Apply the competencies of entrepreneurship in experimenting with different techniques to generate alternative solutions to problems, using available resources in an effective way.
7. Present solutions to problems orally and visually in a clear, engaging, effective style.
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| Workload | Full time hours per semester | | Type | Hours | Description |
|---|
| Lecture | 24 | Lecture (Asynchronous)
Based on indicative content and learning outcomes | | Seminars | 11 | Post Lecture (Synchronous)
Moderator and student-led tutorials based on case studies | | Tutorial | 4 | Companion Tutorials
Moderator and student-led/collaborative with industry immersive online workshops | | Independent Study | 86 | Self directed learning including elevator pitch and Case Study Analysis |
| Total Workload: 125 |
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| Section Breakdown | | CRN | 20964 | Part of Term | Semester 2 | | Coursework | 0% | Examination Weight | 0% | | Grade Scale | 40PASS | Pass Both Elements | Y | | Resit Category | RC1 | Best Mark | N | | Module Co-ordinator | Maggie Brennan | Module Teacher | Lorraine Boran |
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| Assessment Breakdown |
| Type | Description | % of total | Assessment Date |
|---|
| Presentation | Develop an enterprise ready ‘disruptive’ elevator pitch for a non-expert audience(individual / small group).
How did you identify the problem?
What solution/idea did you generate and how?
What positive impact will your solution have, and on whom?
How will your innovative solution be implemented?
How could you grow and scale the solution?
What do you need from the audience to help you? | 30% | n/a | | Assignment | Case Study (small/larger group). Consult on a hypothetical case study modelled on real-life industry / societal problem and solution, and advise on the candidate technology design, likelihood of disruptive innovation and sector; Ethical, Legal and Other considerations of design and implementation. Focus on positive impact for relevant stakeholders (customers / community members) | 70% | n/a |
| Reassessment Requirement Type |
Resit arrangements are explained by the following categories;
RC1: A resit is available for both* components of the module.
RC2: No resit is available for a 100% coursework module.
RC3: No resit is available for the coursework component where there is a coursework and summative examination element.
* ‘Both’ is used in the context of the module having a coursework/summative examination split; where the module is 100% coursework, there will also be a resit of the assessment
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Pre-requisite |
None
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Co-requisite |
None |
| Compatibles |
None |
| Incompatibles |
None |
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All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml
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Indicative Content and Learning Activities
Disruptive Innovation - Definitions, Frameworks and State of the Art
Psychology of Innovation and Creativity
Adaptive Expertise, Innovation and Disruption
Collaborative and Group Creativity and Innovation
Candidate Technologies for Disruptive Innovation
Enterprise and Disruptive Innovation
Behavioural, Ethical, Legal and Critical Considerations of Disruptive Technologies: A Primer
Behavioural, Ethical, Legal and Critical Considerations of Disruptive Technologies: A Primer
Cognitive Technologies; Artificial Intelligence; Social Robotics, Mixed Reality and State of the Art
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Indicative Reading List
Books:
- Breazeal, C., Dautenhahn, K., & Kanda, T.: 2016, Social robotics., Springer handbook of robotics,
- Calvo, R. A., D'Mello, S., Gratch, J. M., & Kappas, A. (Eds.).: 2015, The Oxford handbook of affective computing, Oxford Library of Psychology,
- Jung, R. E., & Vartanian, O. (Eds.).: 2018, The Cambridge handbook of the neuroscience of creativity., Cambridge University Press.,
- Nambisan, S., Lyytinen, K., & Yoo, Y. (Eds.).: 2020, Handbook of digital innovation., Edward Elgar Publishing.,
- Paulus, P. B., & Nijstad, B. A. (Eds.).: 2019, The Oxford handbook of group creativity and innovation., Oxford Library of Psychology.,
- Armstrong, P.: 2017, Disruptive technologies: understand, evaluate, respond, Kogan Page Publishers.,
- Gutsche, J.: 2020, Create the future+ the innovation handbook: tactics for disruptive thinking., Greenleaf Book Group.,
Articles:
None |
Other Resources
None |
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