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Unit outline_

IBUS6003: Managing International Risk

Semester 2, 2022 [Normal evening] - Camperdown/Darlington, Sydney

This unit introduces students to the multi-level risk environments encountered by multinational enterprise and the processes and strategies that can be employed to identify, assess, manage and mitigate risk. Topics covered include multinational enterprise and expropriation, sovereign risk and corruption, political and regulatory risk, brand and corporate reputation risk management, managing anti-globalization protests and consumer boycotts, terrorism risk, and executive risk and risk management and a short introduction to financial risk and risk management. The unit also introduces the various analytical approaches involved in designing risk identification systems, reporting and monitoring protocols, and how risk is able to be assessed, prioritized and effectively managed. The unit emphasizes a problem case-based approach to learning using workshops and simulation exercises.

Unit details and rules

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

None

Available to study abroad and exchange students

Yes

Teaching staff

Coordinator Connie Chan, chui.chan@sydney.edu.au
Type Description Weight Due Length
Small continuous assessment Canvas quizzes
MCQ
30% Multiple weeks 10 minute quiz
Outcomes assessed: LO1 LO2
Participation Tutorial participation
Attendance and engagement
10% Multiple weeks Weekly
Outcomes assessed: LO1 LO3 LO2
Presentation group assignment Risk management project
Submit 15 slides and video
30% Week 10 15 min presentation, Q&A, peer comments
Outcomes assessed: LO1 LO2 LO3 LO4
Assignment Summative assessment
Short and long written answers
30% Week 13
Due date: 06 Nov 2022 at 23:59
2000 words
Outcomes assessed: LO1 LO2 LO3 LO4
group assignment = group assignment ?

Assessment summary

  • Participation:To benefit from class discussions and exercises, students are expected to do prework, engage with teachers and peers and reflect on learning. Grading is based on the consistency and quality of the student’s responses.    
  • Canvas Quiz: MCQ are assigned every few weeks to test students’ progress and understanding of topical contents covered in the preceding weeks.   
  • Risk management project: Students work in teams to assess a selected company’s current and future risks. The team will recommend an integrated and ISO 31000-compliant risk management system. The representatives will submit the required documents before in-class presentation.  
  • Summative Assessment: A short release test of discipline knowledge, case analysis, problem-solving skills and reflection of contents covered in the semester.

Detailed information for each assessment can be found on Canvas. Students are encouraged to seek guidance and feedback from teachers throughout the semester.

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 A framework for international risk management Online class (1.5 hr) LO1 LO2
Week 02 Business Vulnerability, Risk Identification Lecture and tutorial (3 hr) LO1 LO2
Week 03 Political and Regulatory Risks Lecture and tutorial (3 hr) LO1 LO2 LO3
Week 04 Economic Risks Lecture and tutorial (3 hr) LO1 LO2
Week 05 Social and Cultural Risks Lecture and tutorial (3 hr) LO1 LO2
Week 06 Environmental Risks Lecture and tutorial (3 hr) LO1 LO2
Week 07 Technological Risks Lecture and tutorial (3 hr) LO1 LO2 LO3
Week 08 Disruption Risks Lecture and tutorial (3 hr) LO1 LO2 LO3
Week 09 Risk Treatment Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 10 Risk Communication Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 11 Introduction to Financial Risks Lecture and tutorial (3 hr) LO1 LO2
Week 12 Risk Management: Systems Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 13 Review, insights and conclusion Online class (1.5 hr) LO1 LO2 LO3 LO4

Attendance and class requirements

Blended learning: Course contents and exercises are available on Canvas weekly modules to help students build foundational knowledge. Notes of live lectures and responses to class exercises will be posted after each session. Students should attend and participate in all the classes to meet the Business School’s minimum requirement. 

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

Canvas reading list 

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 the types and levels of risks that a business may face in the global context
  • LO2. apply framework, processes and protocols to risk management
  • LO3. analyse current and future risks of businesses
  • LO4. propose integrated approaches to managing international risks

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 in 2021 S2.

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.