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Unit outline_

INFS2030: Digital Business Management

Semester 1, 2022 [Normal day] - Remote

This unit will provide you with a detailed overview of the concepts and models used in doing business digitally via the Internet. These concepts and models will enable you to evaluate, synthesise and implement Internet-enabled business models. The unit will provide the critical link between the firm's performance and modern Internet technologies, such as e-Commerce platforms, Social Media and Social Networking. Emphasis will be put on the utilisation of Internet technologies to enable new forms of digital business, rather than on the technologies themselves. Assumed knowledge for this unit is INFS1000 or equivalent.

Unit details and rules

Academic unit Business Information Systems
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

INFS1000 or INFO1000 or INFO1003 or INFO1903

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Graham Costello, g.costello@sydney.edu.au
Type Description Weight Due Length
Final exam (Record+) Type B final exam Final exam
Written exam with MCQ
50% Formal exam period 2 hours
Outcomes assessed: LO1 LO2 LO4 LO5
In-semester test (Record+) Type B in-semester exam Mid-semester exam
MCQ
20% Week 07
Due date: 04 Apr 2022 at 10:30
1 hour
Outcomes assessed: LO1 LO2 LO4 LO5
Assignment group assignment Group project report
Written report
25% Week 11 2000 words
Outcomes assessed: LO1 LO5 LO4 LO3 LO2
Presentation group assignment Group project presentation
Oral presentation
5% Week 12 10 minutes
Outcomes assessed: LO1 LO2 LO3 LO4 LO5
group assignment = group assignment ?
Type B final exam = Type B final exam ?
Type B in-semester exam = Type B in-semester exam ?

Assessment summary

  • Group project report: The group project is an applied assignment that involves the development of a business plan for a new product or service of your choice. You will outline the value proposition, define the key components of the digital business model, analyse competitive positioning, articulate the digital business capabilities required, and develop an implementation plan. Groups will submit a report that captures these elements.
  • Group project presentation: Each group will present its business plan during the lectures and tutorials in weeks 12 and 13. All group members must participate in the presentation.
  • Mid-semester exam: This exam will be based on the content delivered during the first 5 weeks of the semester. Students are required to attempt all questions.
  • Final exam: This is a closed-book exam that will cover material from all weekly classes and readings. This exam will consist of an extended answer, case study and multiple-choice questions.

Detailed information for each assessment can be found on Canvas.

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.

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 Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Use of generative artificial intelligence (AI) and automated writing tools

You may only use generative AI and automated writing tools in assessment tasks if you are permitted to by your unit coordinator. If you do use these tools, you must acknowledge this in your work, either in a footnote or an acknowledgement section. The assessment instructions or unit outline will give guidance of the types of tools that are permitted and how the tools should be used.

Your final submitted work must be your own, original work. You must acknowledge any use of generative AI tools that have been used in the assessment, and any material that forms part of your submission must be appropriately referenced. For guidance on how to acknowledge the use of AI, please refer to the AI in Education Canvas site.

The unapproved use of these tools or unacknowledged use will be considered a breach of the Academic Integrity Policy and penalties may apply.

Studiosity is permitted unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission as detailed on the Learning Hub’s Canvas page.

Outside assessment tasks, generative AI tools may be used to support your learning. The AI in Education Canvas site contains a number of productive ways that students are using AI to improve their learning.

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.

WK Topic Learning activity Learning outcomes
Week 01 Introduction and unit overview Lecture and tutorial (3 hr)  
Week 02 Digital economy Lecture and tutorial (3 hr)  
Week 03 Digital business models Lecture and tutorial (3 hr)  
Week 04 Digital strategy Lecture and tutorial (3 hr)  
Week 05 Platforms Lecture and tutorial (3 hr)  
Week 06 Business model canvas Lecture and tutorial (3 hr)  
Week 07 Design thinking and journey navigation Lecture and tutorial (3 hr)  
Week 08 Digital marketing Lecture and tutorial (3 hr)  
Week 09 API economy, design of digital systems and usability Lecture and tutorial (3 hr)  
Week 10 Change management Lecture and tutorial (3 hr)  
Week 11 Open source and large scale collaborations Lecture and tutorial (3 hr)  
Week 12 Group assignment presentations Lecture and tutorial (3 hr)  
Week 13 Group assignment presentations Lecture and tutorial (3 hr)  

Attendance and class requirements

Lecture recordings: All lectures are recorded and will be available on Canvas for student use. Please note the Business School does not own the system and cannot guarantee that the system will operate or that every class will be recorded. Students should ensure they attend and participate in all classes.

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.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

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.

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

  • LO1. identify and analyse major current trends in conducting digital business and understand the key challenges in developing and managing businesses in online contexts
  • LO2. diagnose and solve business problems and design business solutions that can result in significant business improvement through the exploitation of information and communications technologies
  • LO3. perform as effective team members in a variety of business contexts and act in a professional business manner as both members and leaders of teams, and in relation to client interactions
  • LO4. communicate a business plan in a clear and convincing manner both written and verbal
  • LO5. identify market opportunities and develop strategies to take advantage of them.

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
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

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

No changes have been made since this unit was last offered.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

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