University of Technology Sydney

21958 Managing Technological Disruptions

Warning: The information on this page is indicative. The subject outline for a particular session, location and mode of offering is the authoritative source of all information about the subject for that offering. Required texts, recommended texts and references in particular are likely to change. Students will be provided with a subject outline once they enrol in the subject.

Subject handbook information prior to 2020 is available in the Archives.

UTS: Business
Credit points: 3 cp

Subject level:


Result type: Grade and marks

There are course requisites for this subject. See access conditions.


This subject develops approaches to analysing strategies for managing a range of disruptive technologies, such as artificial intelligence (AI), blockchain, big data, Internet of Things (IoT), virtual reality (VR)/augemented reality (AR), rapid genetic sequencing and editing, reusable rocket launch vehicles and high-energy density batteries. The impact of these technologies and how they can lead to the creation of new business models is illustrated through cases from different industries including computing, communications, electronics, digital, biotechnology, transport and pharmaceuticals. This subject equips students with an integrated set of tools and techniques for managing technological disruptions including roadmapping, mindmapping, scenario planning, as well as predictive analytics. Students also explore a range of visualisation techniques for presenting data and insights to diverse audiences. The ethical implications of new technologies is also addressed.

Subject learning objectives (SLOs)

Upon successful completion of this subject students should be able to:
1. demonstrate an understanding of the nature of a range of disruptive technologies and their implications on organisations, industry sectors and societies
2. demonstrate knowledge and skills to develop strategies and approaches to manage disruptive technologies by creating new business models
3. apply a range of visual design tools to present complex data and insights to diverse audiences

Contribution to the development of graduate attributes

The subject introduces students to a range of technologies currently disrupting existing business models and organisational practices. In doing so, the subject will develop students understanding of the nature of these technologies and how they can be harnessed to create new value and innovative business models. In addition, students will develop their skills in presenting complex data through activities and assessments.

This subject develops the following Program Learning Objectives:

2.3 identify innovative business models in relation to disruptive technologies and trends

3.1 construct and present multi-media communications for diverse audiences

This subject contributes to the development of the following graduate attributes:

  • GA2. Critical thinking, creativity and analytical skills – be able to apply and demonstrate critical and analytical skills, and innovation in business practice.
  • GA3. Communication and Interpersonal skills – be able to use communication skills effectively to work with others.

Teaching and learning strategies

Teaching strategies will include a mix of historical cases demonstrating how technological disruptions have been managed, and their consequences, and current examples/cases discussing new technologies and how these are adopted and managed in organisations, both reactively and proactively. Representatives from a range of organisations will present their experiences with managing technological disruptions. There will be guest sessions by academics from other disciplines to introduce specific new technologies and their implications for organisations and managers.

Content (topics)

  1. Nature and impact of new technologies
  2. Approaches for identifying and managing new technologies
  3. Historical and current cases on disruptive technologies and key insights for today’s managers including ethical implications
  4. Tools and techniques for managing disruptive technologies either as an incumbent or a challenger
  5. Visualisation methods and techniques


Assessment task 1: Disruptive technology case study: Presentation


This develops Program Learning Objective/s – 3.1


This addresses subject learning objective(s):

1 and 3

Type: Presentation
Groupwork: Individual
Weight: 40%

Assessment task 2: Business Modelling: Final Report


This develops Program Learning Objective/s – 2.3 and 3.1


This addresses subject learning objective(s):

1, 2 and 3

Type: Report
Groupwork: Individual
Weight: 60%

Minimum requirements

Students must achieve at least 50% of the subject’s total marks.

Required texts

No specific textbook. A range of resources will be compiled including academic and non-academic publications, courses, TED talks, documentaries, movies, podcasts etc.


Anthony, Scott D. 2016. "Kodak’s Downfall Wasn’t About Technology." Harvard Business Review Online.

Ayoub, Kareem, and Kenneth Payne. 2016. "Strategy in the Age of Artificial Intelligence." Journal of Strategic Studies 39 (5-6):793-819. doi: 10.1080/01402390.2015.1088838.

Barton, Dominic, and D Court. 2012. "Making advanced analytics work for you." Harvard business review 90 (10):78-83.

Crosby, Michael, Pradan Pattanayak, Sanjeev Verma, and Vignesh Kalyanaraman. 2016. "BlockChain Technology: Beyond Bitcoin." APPLIED INNOVATION:6.

George, Gerard, Martine R. Haas, and Alex Pentland. 2014. "Big Data and Management." Academy of Management Journal, 04//, 321-326.