• Class Number 3131
  • Term Code 3630
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Priya Muthukannan
  • LECTURER
    • Dr Priya Muthukannan
  • Class Dates
  • Class Start Date 23/02/2026
  • Class End Date 29/05/2026
  • Census Date 31/03/2026
  • Last Date to Enrol 02/03/2026
  • TUTOR
    • Zhiwen Zheng
SELT Survey Results

This course covers issues relating to the management of information and communication technology (ICT), important ICT infrastructure and systems, ICT strategic planning and the governance of ICT. Students will critically analyse and present ICT management issues in class.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. identify how Digital Transformation impacts corporate strategies (Remember & Ask)
  2. classify different forms of Digital Disruption (Understand & Ask)
  3. choose appropriate concepts and theories for developing business models (Apply & Acquire)
  4. gauge the role information technology and the World Wide Web play in transforming business models and recognise its social and ethical implications (Analyse & Appraise)
  5. compare all types of relevant evidence towards finding an appropriate business model on the Web for a disrupted organisation (Evaluate & Aggregate)
  6. design an appropriate business model for an organisation that addresses the disrupted environment and design the change process required to arrive at the new business model (Create & Assess).

Research-Led Teaching

Lectures and tutorials will be done in-class in-person and recorded on ECHO 360.

This course has weekly readings that mix research and industry publications that cover both theoretical concepts and practical application of the content. The assignments provide the opportunity for students to apply research skills in an area of their choosing.

Field Trips

Not relevant

Additional Course Costs

No additional costs are expected from this course.

Examination Material or equipment

There are no examinations for this course.

Required Resources

Not relevant

Students are strongly encouraged to carefully read the weekly (pre)reading materials provided on Canvas from Week 1 onwards.

Staff Feedback

Students will be given feedback in the following forms in this course:
  • Written comments
  • Verbal comments
  • Feedback to the whole class, to groups, to individuals, focus groups

Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Publication of Final Results: The release of final grades may change prior to end of semester. Please check the University's official Calendar for confirmation of this date.

Support of students: The University offers a number of support services for students. Information on these is available online from http://students.anu.edu.au/studentlife/.

Class Schedule

Week/Session Summary of Activities Assessment
1 Digital Transformation No tutorials in Week 1
2 Digital Strategy
3 Disruptive Innovation
4 Big Data Analytics Assignment 1 - Individual Assignment due on Tuesday, 11:59 pm
5 Analysing your business model
6 Re-engineering your business model
7 Digital Business Models – Part I: Traditional e-Commerce
8 Digital Business Models – Part II: Mass Mobile Customisation Assignment 2- Individual Assignment due on Friday, 11:59 pm
9 Re-engineering your business processes
10 The Internet of Everywhere and its boundaries
11 Leveraging Crowd-sourced data and its privacy implications
12 The Future of X and Wrap-up
13 No teaching / End of Semester Examination Period Assignment 3 (Final Report) - Due on the first Friday, 11:59 pm, at the end of the semester examination period.

Tutorial Registration

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.


This course has tutorials or tutorial-like teaching activities. Further details about the structure and teaching activities for this course will be available on the course Canvas site at the start of O-Week.

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Individual Analysis Report (Individual - 25%) 25 % 17/03/2026 31/03/2026 1,2,3
Individual Analysis Report (Individual - 35%) 35 % 01/05/2026 15/05/2026 1,2,3,4
Final Report Submission (Individual - 40%) 40 % 05/06/2026 02/07/2026 1,2,3,4,5,6

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

Attendance at and participation in all classes is expected. Attendance at seminars, lectures, and tutorials, while not compulsory, is expected in line with "Code of Practice for Teaching and Learning," Clause 2 paragraph (b). Where students will not be able to attend a seminar, lecture and tutorial, they should advise the Convenor and discuss how to otherwise address the learning materials.

Examination(s)

There are no examinations for this course.

Assessment Task 1

Value: 25 %
Due Date: 17/03/2026
Return of Assessment: 31/03/2026
Learning Outcomes: 1,2,3

Individual Analysis Report (Individual - 25%)

Due: Week 4, Tuesday, 11:59 pm via the course Canvas site

Feedback: Within 10 working days of submission

Weight: 25%

Maximum length: max 500 words (any portion in excess of the word limit will not be marked)

Assessment type: Individual

Description: This assignment requires students to develop analyses on emerging digital technologies and their impact on the digital strategy, as well as the implications for cybersecurity.

In accordance with the requirements set by the Australian Computer Society (ACS), a portion of this assignment may assess students' understanding of cybersecurity.

The assignment will develop students’ skills and capabilities to:

  • Overview of the selected emerging digital technology and its relevance to the business
  • Analysis of how the technology could enhance or transform the organisation’s digital strategy
  • Evaluation of associated cybersecurity risks and mitigation strategies, and strategic recommendations with justification

Students must also submit a reflection explaining how and why they chose to use—or not to use—generative AI tools and other AI-based tools in the completion of this assessment.


Use of Artificial Intelligence (AI): AI use is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. For Assessment 1, students may choose to use or not use generative AI tools (e.g. GPT-4, DALL-E, Copilot) and other tools (e.g. Grammarly). In any case where AI tools are used, the student must do so in a way consistent with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and explain in the Reflection section of Assessment 1, how and why the tools were used, or why they were not used. The students need to clearly acknowledge the use of AI in the relevant parts of the assessment task. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and their understanding of the course concepts assessed by the submission.


Submit the deliverable in a format that preserves ‘tracked changes’ (e.g. MS Word, Apple Pages, or similar) that shows the progression of academic effort and contribution towards completing the task.


Marking Criteria: More information about this assignment will be made available, and a marking rubric will be provided on Canvas two weeks before Week 1 of the semester.

Assessment Task 2

Value: 35 %
Due Date: 01/05/2026
Return of Assessment: 15/05/2026
Learning Outcomes: 1,2,3,4

Individual Analysis Report (Individual - 35%)

Due: Week 8, Friday, 11:59 pm on the course Canvas site

Feedback: Within 10 working days of submission

Weight: 35%

Length: max 1500 words (any portion in excess of the word limit will not be marked).

Assessment type: Individual

Description: In this assignment, you will chart several growth options for a digital transformation strategy for an organisation or business unit of your choosing.

First, you will perform a strategic analysis of the environment the company is operating in, analyse its business model and identify areas of the business model that are potentially disrupted by the use of new technology. You will then identify a set of alternative growth options (minimum 2, maximum 4) that chart a course to position the company in the future environment and how to grow in the areas of disruption to create value (i.e. grow profitably in a competitive environment).

You have the choice of using any organisation, including an organisation you have previously been with or are currently working for.

For this assignment, you want to generate and evaluate growth options for using digital technologies and strategies that expand your organisation’s products or services offering and/or expand its business into new markets.

Your analysis of the growth options should include specific recommendations about which growth option is the most attractive, in terms of its economic logic based on: (a) an analysis of the attractiveness of the growth options through a competitive analysis (e.g. using Porter’s Five Forces), (b) identification of synergies with the existing business activities through leveraging resources and capabilities (from your business model analysis), (c) an identification and analysis of the risks of the growth option and ways to mitigate these risks.

One suggestion in coming up with your growth options is to engage in some design thinking and then winnow down your list of options to the 2-4 that you are including in your analysis.

The assignment will develop students’ skills and capabilities to:

  • analyse a business’s current environment and potential external threats to its business model;
  • propose a set of growth options, analyse their benefits and dis-benefits and their economic logic (without the explicit need to develop their NPV);
  • evaluate the options and recommend the one that can create the most value for the organisation.


Use of Artificial Intelligence (AI): AI use is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. For Assessment 2, students may choose to use or not use generative AI tools (e.g. GPT-4, DALL-E, Copilot) and other tools (e.g. Grammarly). In any case where AI tools are used, the student must do so in a way consistent with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and disclose in the submission and also explain in the Reflection section of the Project Report (Assessment 3) how and why the tools were used, or why they were not used. The students need to clearly acknowledge the use of AI in the relevant parts of the assessment task. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and their understanding of the course concepts assessed by the submission.


Submit the deliverable in a format that preserves ‘tracked changes’ (e.g. MS Word, Apple Pages, or similar) that shows the progression of academic effort and contribution towards completing the task.


Marking Criteria: More information about this assignment will be made available, and a marking rubric will be provided on Canvas two weeks before Week 1 of the semester.

Assessment Task 3

Value: 40 %
Due Date: 05/06/2026
Return of Assessment: 02/07/2026
Learning Outcomes: 1,2,3,4,5,6

Final Report Submission (Individual - 40%)

Due: no later than 11.59 pm Friday, the first week of the exam period via the course Canvas site

Feedback: marking released with the release of final grades

Weight: 40%

Maximum length: max 2,000 words (any portion in excess of the word limit will not be marked)

Assessment type: Individual

Description: This assignment requires students to develop a business case report for one of the growth options proposed in the individual assignment.

The assignment will develop students’ skills and capabilities to:

  • analyse a business’s current business model and its economic logic;
  • propose a growth option, analyse its benefits, disbenefits, costs, risks, stakeholder impact, issues, and develop its economic logic;
  • propose an implementation plan to develop the growth option.

Students must also submit a reflection on how and why they chose to use—or not to use—generative AI tools and other AI tools, as well as the Team Charter for their group.


Use of Artificial Intelligence (AI): AI use is rapidly growing in all sectors, particularly the use of Large Language Models, of which there are many proprietary brands. For Assessment 3, students may choose to use or not use generative AI tools (e.g. GPT-4, DALL-E, Copilot) and other tools (e.g. Grammarly). In any case where AI tools are used, the student must do so in a way consistent with the ANU Academic Integrity principles for use of GenAI, as well as accurately cite and reference what tools were used, and explain in the Reflection section of the Project Report (Assessment 3) how and why the tools were used, or why they were not used. The students need to clearly acknowledge the use of AI in the relevant parts of the assessment task. Guidance on how to do this appropriately is provided in the assessment requirements on the course Canvas page, and the ANU provides further broad guidance in the ANU Gen AI LibGuide. As part of handling a potential breach of academic integrity, students are reminded that they may be requested to meet with the Convenor to discuss any assessment submission, including responding to questions on the content of submissions and their understanding of the course concepts assessed by the submission.


Submit the deliverable in a format that preserves ‘tracked changes’ (e.g. MS Word, Apple Pages, or similar) that shows the progression of academic effort and contribution towards completing the task.


Marking Criteria: More information about this assignment will be made available, and a marking rubric will be provided on Canvas two weeks before Week 1 of the semester.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with. The University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

Online Submission

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must be accompanied by the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.

Late Submission

Individual assessment tasks may or may not allow for late submission. Refer to the details for each assessment item. Policy regarding late submission (where applicable) is detailed below:

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.
  • Late submission permitted. Late submission of assessment tasks without an approved extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.


All requests for Assessment Adjustment (including Requests for Extension and for Consideration of Extenuating Circumstances) should be submitted via ANUHub.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Please see relevant assessment task details above.

Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Unless specified otherwise in the assignment requirements, resubmissions are permitted up until the due date and time, but not allowed afterwards.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information. In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service — including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy. If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes. Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).
Dr Priya Muthukannan
priyadharshini.muthukannan@anu.edu.au

Research Interests


Digital Platforms and ecosystems, AI, and Open Banking

Dr Priya Muthukannan

Friday 16:00 17:00
Friday 16:00 17:00
By Appointment
Dr Priya Muthukannan
priyadharshini.muthukannan@anu.edu.au

Research Interests


Dr Priya Muthukannan

Friday 16:00 17:00
Friday 16:00 17:00
By Appointment
Zhiwen Zheng
Zhiwen.Zheng@anu.edu.au

Research Interests


Zhiwen Zheng

Tuesday 14:00 16:00

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions