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DIXN11-100: Digital Transformation: Stages and Capabilities January 2021 [Standard]

General information

Digital transformation: Stages and Capabilities introduces students to concepts, theories, and models for digital transformation of different types of organisations and contexts. This subject identifies six stages of maturity in digital transformation from non-existent to progressive. It presents twelve groups of capabilities from customer experience to data infrastructure and provides undergraduate students with experience in planning a digital transformation project. 




Academic unit:Faculty of Society & Design
Subject code:DIXN11-100
Subject title:Digital Transformation: Stages and Capabilities
Subject level:Undergraduate
Semester/Year:January 2021
Credit points:10

Delivery & attendance

Delivery mode:


Workload items:
  • Lecture: x12 (Total hours: 24) - Lecture
  • Tutorial: x12 (Total hours: 12) - Tutorial
  • Personal Study Hours: x12 (Total hours: 84) - Personal Study Hours


Prescribed resources:
  • Jace An (2018). 77 Building Blocks of Digital Transformation: The Digital .... Story Tree FDC 12
After enrolment, students can check the Books and Tools area in iLearn for the full Resource List.
[email protected] & Email:[email protected] is the online learning environment at Bond University and is used to provide access to subject materials, lecture recordings and detailed subject information regarding the subject curriculum, assessment and timing. Both iLearn and the Student Email facility are used to provide important subject notifications. Additionally, official correspondence from the University will be forwarded to students’ Bond email account and must be monitored by the student.

To access these services, log on to the Student Portal from the Bond University website as

Enrolment requirements

Requisites: ?


Restrictions: ?


Assurance of learning

Assurance of Learning means that universities take responsibility for creating, monitoring and updating curriculum, teaching and assessment so that students graduate with the knowledge, skills and attributes they need for employability and/or further study.

At Bond University, we carefully develop subject and program outcomes to ensure that student learning in each subject contributes to the whole student experience. Students are encouraged to carefully read and consider subject and program outcomes as combined elements.

Program Learning Outcomes (PLOs)

Program Learning Outcomes provide a broad and measurable set of standards that incorporate a range of knowledge and skills that will be achieved on completion of the program. If you are undertaking this subject as part of a degree program, you should refer to the relevant degree program outcomes and graduate attributes as they relate to this subject.

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Subject Learning Outcomes (SLOs)

On successful completion of this subject the learner will be able to:
  1. Explain the stages and capabilities of digital transformation.
  2. Evaluate different approaches leading to successes and failures in digital transformation projects.
  3. Interpret strategies and methodologies necessary for developing transformation projects.
  4. Plan a digital transformation project for a model client.


Assessment details

TypeTask%Timing*Outcomes assessed
Case Analysis Digital Transformation Case Study 30% Week 6 1, 2, 3.
Research Plan Digital Transformation Plan Research 30% Week 9 1, 2, 3.
Written Proposal Digital Transformation Plan and Client Brief 40% Week 12 1, 4.
  • * Assessment timing is indicative of the week that the assessment is due or begins (where conducted over multiple weeks), and is based on the standard University academic calendar
  • C = Students must reach a level of competency to successfully complete this assessment.

Assessment criteria

High Distinction 85-100 Outstanding or exemplary performance in the following areas: interpretative ability; intellectual initiative in response to questions; mastery of the skills required by the subject, general levels of knowledge and analytic ability or clear thinking.
Distinction 75-84 Usually awarded to students whose performance goes well beyond the minimum requirements set for tasks required in assessment, and who perform well in most of the above areas.
Credit 65-74 Usually awarded to students whose performance is considered to go beyond the minimum requirements for work set for assessment. Assessable work is typically characterised by a strong performance in some of the capacities listed above.
Pass 50-64 Usually awarded to students whose performance meets the requirements set for work provided for assessment.
Fail 0-49 Usually awarded to students whose performance is not considered to meet the minimum requirements set for particular tasks. The fail grade may be a result of insufficient preparation, of inattention to assignment guidelines or lack of academic ability. A frequent cause of failure is lack of attention to subject or assignment guidelines.

Quality assurance

For the purposes of quality assurance, Bond University conducts an evaluation process to measure and document student assessment as evidence of the extent to which program and subject learning outcomes are achieved. Some examples of student work will be retained for potential research and quality auditing purposes only. Any student work used will be treated confidentially and no student grades will be affected.

Study information

Submission procedures

Students must check the [email protected] subject site for detailed assessment information and submission procedures.

Policy on late submission and extensions

A student who has not established a basis for an extension in compliance with University and Faculty policy either by 1) not applying before the assessment due date or 2) by having an application rejected due to failure to show a justifiable cause for an extension, will receive a penalty on assessment submitted after its due date. The penalty will be 10% of marks awarded to that assessment for every day late, with the first day counted after the required submission time has passed. No assessment will be accepted for consideration seven calendar days after the due date. Where a student has been granted an extension, the late penalty starts from the new due date and time set out in the extension.

Policy on plagiarism

The University’s Academic Integrity Policy defines plagiarism as the act of misrepresenting as one’s own original work: another’s ideas, interpretations, words, or creative works; and/or one’s own previous ideas, interpretations, words, or creative work without acknowledging that it was used previously (i.e., self-plagiarism). The University considers the act of plagiarising to be a breach of the Student Conduct Code and, therefore, subject to the Discipline Regulations which provide for a range of penalties including the reduction of marks or grades, fines and suspension from the University.

Bond University utilises Originality Reporting software to inform academic integrity.

Feedback on assessment

Feedback on assessment will be provided to students within two weeks of the assessment submission due date, as per the Assessment Policy.

Disability support

If you have a disability, illness, injury or health condition that impacts your capacity to complete studies, exams or assessment tasks, it is important you let us know your special requirements, early in the semester. Students will need to make an application for support and submit it with recent, comprehensive documentation at an appointment with a Disability Officer. Students with a disability are encouraged to contact the Disability Office at the earliest possible time, to meet staff and learn about the services available to meet your specific needs. Please note that late notification or failure to disclose your disability can be to your disadvantage as the University cannot guarantee support under such circumstances.

Subject curriculum

In this module, we outline the big picture for the digital capability model and demonstrate the relevance of communication in digital transformation (DX) for future employment opportunities in a range of fields.


Most organisations, regardless of size or purpose communicate with customers of one type or another. The digital customer experience is the new norm in Business-to-Consumer (B2C) communications.

1, 2.

The widest communications from an organisation often happen in the front office. In this module, we explain and evaluate social interaction and digital communications.

1, 2.

By increasing digital traffic and communications, organisations acquire and retain customers. In this module, we interpret strategies and methodologies for transforming marketing and commerce through digital communications.

1, 2, 3.

The proliferation of online communication channels creates opportunities and risks for the management of content. Convergence and digital devices means the coordination of content and communications is paramount to successful DX efforts.

1, 2, 3, 4.

In this section, we pause briefly to share case studies of DX strategies, methodologies, and plans.

3, 4.

The ability to design a whole digital capability project is an important part of DX in organisations. Design encompasses everything from project management principles to quality assurance. In this module, we will cover the elements of digital development.

3, 4.

Absent a strategy, DX is nothing more than trial and error. Therefore, in this module, we evaluate the importance of understanding and communicating the role of planning, strategy, and implementation of transformations.

Using digital data and analytics, capable digital organisations create and manage relationships suited to stakeholders. Here we evaluate and explore methodologies for customisation and personalisation, including the use of digital intelligence.

2, 3.

Communication through digital channels and networks allows for the collection of high volumes of data to enable decision-making. Large-scale digital transactions require large-scale digital data analytics capabilities.

1, 2, 3.

In this module, we scope the necessary hardware infrastructure and software services for digital capabilities and we learn about the services provided in a dynamic, communication-dependent environment.

3, 4.

With other digital capabilities in place, machine learning and artificial intelligence can augment human activities in ways that boost personal and organisational capabilities. In this module, we look to the future of DX to extend capacity to know, share, and do.

1, 4.
Approved on: Nov 5, 2020. Edition: 1.1