Outline

Overview

Digital innovation is transforming markets, organisations and management itself. It is an important means for businesses in creating value for customers, and a necessary aspect of a modern manager's mindset. On the one hand, managers have to be able to critically examine the nature and promises of digital technology to make sense of unfolding trends and to avoid the trappings of technological fashions. On the other hand, the field of digital innovation offers new managerial techniques and tools for effective organizational management in changing environments. In this unit students learn to re-imagine the way in which business is done through digital technology and to employ managerial innovations such as agile methods and insight generation and design thinking for creative problem framing and solving. Learning is based on hands-on in-class activities, case study analysis, and classroom discussions.

Unit details and rules

Academic unit	Management Education
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	MMGT6015
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Katina Michael, katina.michael@sydney.edu.au
Lecturer(s)	Katina Michael, katina.michael@sydney.edu.au

Assessment

The census date for this unit availability is 1 September 2025

Details
Criteria

Type	Description	Weight	Due	Length	Use of AI
Portfolio or journal	Blogposts Socio-technical dimensions of digital transformation projects in public, private, third sector organisations, defence agencies and citizen science initiatives (Weeks 2-6)	10%	Multiple weeks	500 words per blogpost + one diagram	AI allowed
Outcomes assessed:
Interactive oral	Interactive Oral Implemented as an individual task, and built around an authentic scenario or simulation.	45%	Week 07 Due date: 15 Sep 2025 at 09:00 Closing date: 19 Sep 2025	20 minutes (oral)	AI prohibited
Outcomes assessed:
Presentation	Report presentation Presentation and Q and A. Slides to be uploaded beforehand	10%	Week 08 Due date: 13 Oct 2025 at 12:00	10 min + Q and A	AI allowed
Outcomes assessed:
Written work	Project report 35% for the report inclusive of 5 % for indivdiual contributions	35%	Week 13 Due date: 03 Nov 2025 at 23:59 Closing date: 13 Nov 2025	5000 word report	AI allowed
Outcomes assessed:
= group assignment ?

Assessment summary

The course assessment is broken into four main components.

First, blogposts are due between Weeks 2-6 highlighting a digital transformation project using sociotechnical dimensions in diverse organisational/institutional contexts.
Second, in Week 7 there is an Interactive Oral based on the first 6 weeks of content taught in the subject, inclusive of 4 simulations. Students should be ready to present a response to a given scenario/simulation. A detailed schedule for the interactive orals will be made available in class and/or via CANVAS.
Third, a group presentation is to be delivered in Week 8, identifying key ideas of the group project as they are evolving.
Fourth, a group report is to be completed by Week 13.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name	Mark range	Description
High distinction	85 - 100	Awarded when you demonstrate the learning outcomes for the unit at an exceptional standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Distinction	75 - 84	Awarded when you demonstrate the learning outcomes for the unit at a very high standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Credit	65 - 74	Awarded when you demonstrate the learning outcomes for the unit at a good standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Pass	50 - 64	Awarded when you demonstrate the learning outcomes for the unit at an acceptable standard, as defined by grade descriptors or exemplars outlined by your faculty or school.
Fail	0 - 49	When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI)

You can use generative AI tools for open assessments. Restrictions on AI use apply to secure, supervised assessments used to confirm if students have met specific learning outcomes.

Refer to the assessment table above to see if AI is allowed, for assessments in this unit and check Canvas for full instructions on assessment tasks and AI use.

If you use AI, you must always acknowledge it. Misusing AI may lead to a breach of the Academic Integrity Policy.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

Deduction of 5% of the maximum mark for each calendar day after the due date.
After ten calendar days late, a mark of zero will be awarded.

Academic integrity

The University expects students to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

Our website provides information on academic integrity and the resources available to all students. This includes advice on how to avoid common breaches of academic integrity. Ensure that you have completed the Academic Honesty Education Module (AHEM) which is mandatory for all commencing coursework students

Penalties for serious breaches can significantly impact your studies and your career after graduation. It is important that you speak with your unit coordinator if you need help with completing assessments.

Visit the Current Students website for more information on AI in assessments, including details on how to acknowledge its use.

Learning support

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

Weekly schedule

WK	Topic	Learning activity
Week 01	Foundations of Digital Transformation	Workshop (3.5 hr)
Week 02	Global Digital Landscape and Infrastructure	Workshop (3.5 hr)
Week 03	Strategic Frameworks for Digital Transformation	Workshop (3.5 hr)
Week 04	Technology Adoption and Change Management	Workshop (3.5 hr)
Week 05	Industry Applications – Financial Services	Workshop (3.5 hr)
Week 06	Industry Applications – Retail and E-commerce	Workshop (3.5 hr)
Week 07	Industry Applications – Manufacturing and Industry 4.0	Workshop (3.5 hr)
Week 08	Emerging Technologies – AI and Machine Learning	Workshop (3.5 hr)
Week 09	Emerging Technologies – Blockchain and Web3	Workshop (3.5 hr)
Week 10	Global Implementation Challenges	Workshop (3.5 hr)
Week 11	Future Trends and Strategic Planning	Workshop (3.5 hr)

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

Outcomes
Graduate qualities

At the completion of this unit, you should be able to:

LO1. discuss, evaluate, and reflect on the key issues, debates, principles, concepts, and theories of the information society
LO2. apply appropriate methods for technology foresight and provide defensible evidence-based arguments to support the findings
LO3. plan, manage and write independent reflective research papers
LO4. analyse and reflect on complex material in individual and group work
LO5. work collaboratively to prepare narrative visualisations and/or infographics to display complex ideas in a clear and accurate manner.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1	Depth of disciplinary expertise Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.
GQ2	Critical thinking and problem solving Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.
GQ3	Oral and written communication Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.
GQ4	Information and digital literacy Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.
GQ5	Inventiveness Generating novel ideas and solutions.
GQ6	Cultural competence Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.
GQ7	Interdisciplinary effectiveness Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.
GQ8	Integrated professional, ethical, and personal identity An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.
GQ9	Influence Engaging others in a process, idea or vision.

Outcome map

Learning outcomes	Graduate qualities
Learning outcomes

Responding to student feedback

This section outlines changes made to this unit following staff and student reviews.

Content has been updated to reflect recent technology trends

Additional information

Business School Policies

Disclaimer

Important: the University of Sydney regularly reviews units of study and reserves the right to change the units of study available annually. To stay up to date on available study options, including unit of study details and availability, refer to the relevant handbook.

To help you understand common terms that we use at the University, we offer an online glossary.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links

CEMS6014: Global Digital Transformation

Semester 2, 2025 [Normal day] - Castlereagh St, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Use of generative artificial intelligence (AI)

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Support for students

Weekly schedule

Weekly schedule

Study commitment

Learning outcomes

Learning outcomes

Graduate qualities

Outcome map

Responding to student feedback

Responding to student feedback

Additional information

Additional information

Disclaimer

On this page

Useful links