General Information
This subject introduces you to concepts, theories, and models for the digital transformation of different types of organisations in diverse contexts. You will explore the six stages of maturity in digital transformation from non-existent to progressive. You will also learn about twelve groups of capabilities from customer experience to data infrastructure. You will then plan a digital transformation project to put theory into practice.
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Details
Academic unit: Transformation CoLab Subject code: DIXN11-100 Subject title: Digital Transformation: Stages and Capabilities Subject level: Undergraduate Semester/Year: January 2025 Credit points: 10.000 -
Delivery & attendance
Timetable: https://bond.edu.au/timetable Delivery mode: Standard Workload items: - Tutorial: x12 (Total hours: 12) - Weekly Tutorial
- Forum: x12 (Total hours: 24) - Weekly Forum
- Personal Study Hours: x12 (Total hours: 84) - Personal Study Hours
Attendance and learning activities: Every class features lessons and activities geared toward the world of work in the area of digital transformation and guides subject assessment, step-by-step. In-person or remote attendance provides access to lessons and activities that help students learn knowledge and skills related to working in the area of digital transformation. Students are encouraged to attend all subject sessions in order to contribute to the collective experiences that promote engaged, active and authentic learning. -
Resources
Prescribed resources: Books
- Jace An (2018). 77 Building Blocks of Digital Transformation: The Digital .... n/a, Story Tree FDC
iLearn@Bond & Email: iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class 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 www.bond.edu.au
| Academic unit: | Transformation CoLab |
|---|---|
| Subject code: | DIXN11-100 |
| Subject title: | Digital Transformation: Stages and Capabilities |
| Subject level: | Undergraduate |
| Semester/Year: | January 2025 |
| Credit points: | 10.000 |
| Timetable: | https://bond.edu.au/timetable |
|---|---|
| Delivery mode: | Standard |
| Workload items: |
|
| Attendance and learning activities: | Every class features lessons and activities geared toward the world of work in the area of digital transformation and guides subject assessment, step-by-step. In-person or remote attendance provides access to lessons and activities that help students learn knowledge and skills related to working in the area of digital transformation. Students are encouraged to attend all subject sessions in order to contribute to the collective experiences that promote engaged, active and authentic learning. |
| Prescribed resources: | Books
|
|---|---|
| iLearn@Bond & Email: | iLearn@Bond is the Learning Management System at Bond University and is used to provide access to subject materials, class 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 www.bond.edu.au |
Enrolment requirements
| Requisites: |
Nil |
|---|---|
| Assumed knowledge: |
Assumed knowledge is the minimum level of knowledge of a subject area that students are assumed to have acquired through previous study. It is the responsibility of students to ensure they meet the assumed knowledge expectations of the subject. Students who do not possess this prior knowledge are strongly recommended against enrolling and do so at their own risk. No concessions will be made for students’ lack of prior knowledge.
|
| Restrictions: |
Nil |
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.
Subject Learning Outcomes (SLOs)
On successful completion of this subject the learner will be able to:
- Explain the stages and capabilities of digital transformation.
- Evaluate different approaches leading to successes and failures in digital transformation projects.
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
- Plan and deliver a digital transformation project for a model client.
Generative Artificial Intelligence in Assessment
The University acknowledges that Generative Artificial Intelligence (Gen-AI) tools are an important facet of contemporary life. Their use in assessment is considered in line with students’ development of the skills and knowledge which demonstrate learning outcomes and underpin study and career success. Instructions on the use of Gen-AI are given for each assessment task; it is your responsibility to adhere to these instructions.
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Assessment details
Type Task % Timing* Outcomes assessed Case Analysis Digital Transformation Case Study 30.00% Week 6 1,2,3 Research Plan Digital Transformation Plan Research 30.00% Week 9 1,2,3 Written Proposal Digital Transformation Plan and Client Brief 40.00% 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.
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Assessment criteria
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.
| Type | Task | % | Timing* | Outcomes assessed |
|---|---|---|---|---|
| Case Analysis | Digital Transformation Case Study | 30.00% | Week 6 | 1,2,3 |
| Research Plan | Digital Transformation Plan Research | 30.00% | Week 9 | 1,2,3 |
| Written Proposal | Digital Transformation Plan and Client Brief | 40.00% | 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 iLearn@Bond 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.
Academic Integrity
Bond University‘s Student Code of Conduct Policy , Student Charter, Academic Integrity Policy and our Graduate Attributes guide expectations regarding student behaviour, their rights and responsibilities. Information on these topics can be found on our Academic Integrity webpage recognising that academic integrity involves demonstrating the principles of integrity (honesty, fairness, trust, professionalism, courage, responsibility, and respect) in words and actions across all aspects of academic endeavour.
Staff are required to report suspected misconduct. This includes all types of plagiarism, cheating, collusion, fabrication or falsification of data/content or other misconduct relating to assessment such as the falsification of medical certificates for assessment extensions. The longer term personal, social and financial consequences of misconduct can be severe, so please ask for help if you are unsure.
If your work is subject to an inquiry, you will be given an opportunity to respond and appropriate support will be provided. Academic work under inquiry will not be marked until the process has concluded. Penalties for misconduct include a warning, reduced grade, a requirement to repeat the assessment, suspension or expulsion from the University.
Feedback on assessment
Feedback on assessment will be provided to students according to the requirements of the Assessment Procedure Schedule A - Assessment Communication Procedure.
Whilst in most cases feedback should be provided within two weeks of the assessment submission due date, the Procedure should be checked if the assessment is linked to others or if the subject is a non-standard (e.g., intensive) subject.
Accessibility and Inclusion Support
Support is available to students where a physical, mental or neurological condition exists that would impact the student’s capacity to complete studies, exams or assessment tasks. For effective support, special requirement needs should be arranged with the University in advance of or at the start of each semester, or, for acute conditions, as soon as practicable after the condition arises. Reasonable adjustments are not guaranteed where applications are submitted late in the semester (for example, when lodged just prior to critical assessment and examination dates).
As outlined in the Accessibility and Inclusion Policy, to qualify for support, students must meet certain criteria. Students are also required to meet with the Accessibility and Inclusion Advisor who will ensure that reasonable adjustments are afforded to qualifying students.
For more information and to apply online, visit BondAbility.
Additional subject information
Digital transformation is a knowledge area and a field of professional activity. This subject ensures knowledge and practice meet. It does not require previous knowledge about digital transformation.
Subject curriculum
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An Introduction to the Digital Capability Model of DX
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.
SLOs included
- Explain the stages and capabilities of digital transformation.
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Digital Customer Experience
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.
SLOs included
- Explain the stages and capabilities of digital transformation.
- Evaluate different approaches leading to successes and failures in digital transformation projects.
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Social Interaction and Digital Communications
The widest communications from an organisation often happen in the front office. In this module, we explain and evaluate social interaction and digital communications.
SLOs included
- Explain the stages and capabilities of digital transformation.
- Evaluate different approaches leading to successes and failures in digital transformation projects.
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Digital Marketing Communications and Commerce
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.
SLOs included
- Explain the stages and capabilities of digital transformation.
- Evaluate different approaches leading to successes and failures in digital transformation projects.
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
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Digital Channels, Content and Management
The proliferation of online communication channels creates opportunities and risks for the management of content. Convergence and digital devices mean the coordination of content and communications is paramount to successful DX efforts.
SLOs included
- Explain the stages and capabilities of digital transformation.
- Evaluate different approaches leading to successes and failures in digital transformation projects.
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
- Plan and deliver a digital transformation project for a model client.
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DX Case Studies
In this section, we pause briefly to share case studies of DX strategies, methodologies, and plans.
SLOs included
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
- Plan and deliver a digital transformation project for a model client.
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Digital Development, Program and Project Management
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 cover the elements of digital development.
SLOs included
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
- Plan and deliver a digital transformation project for a model client.
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Digital Alignment with Strategy
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.
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Customisation and Personalisation
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.
SLOs included
- Evaluate different approaches leading to successes and failures in digital transformation projects.
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
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Big Data, Analytics, Management, and Communication
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.
SLOs included
- Explain the stages and capabilities of digital transformation.
- Evaluate different approaches leading to successes and failures in digital transformation projects.
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
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Digital Infrastructure
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.
SLOs included
- Interpret¿strategies and methodologies¿necessary for developing transformation projects.
- Plan and deliver a digital transformation project for a model client.
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AI and the Future of DX
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.
SLOs included
- Explain the stages and capabilities of digital transformation.
- Plan and deliver a digital transformation project for a model client.