Outline

Overview

This unit aims to give students the ability to understand how organisations operate. As an introductory organisational behaviour unit, it covers key debates across a range of social science disciplines including business, management, psychology, sociology, and communication studies. Key topics explored include power, control, networks, and organisational culture.

Unit details and rules

Academic unit	Work and Organisational Studies
Credit points	6
Prerequisites ?	24 Junior credit points
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	Yes

Teaching staff

Coordinator	Ju Li Ng, juli.ng@sydney.edu.au

Type	Description	Weight	Due	Length
Participation	Participation in Tutorial Participation in discussion during tutorial. More information in Canvas.	10%	-	Weekly
Outcomes assessed:
Final exam (Take-home extended release)	Final Exam The written exam will be a take-home format.	30%	Formal exam period	48 hours
Outcomes assessed:
Assignment	Group Report Written report.	20%	Week 06 Due date: 01 Oct 2020 at 17:00 Closing date: 14 Oct 2020	1500 words
Outcomes assessed:
Online task	Online Quiz Multiple choice questions (MCQ).	10%	Week 07 Due date: 16 Oct 2020 at 10:00 Closing date: 16 Oct 2020	40 minutes during lecture time.
Outcomes assessed:
Assignment	Group presentation Oral presentation	30%	Week 10 Due date: 05 Nov 2020 at 17:00 Closing date: 13 Nov 2020	15 minutes
Outcomes assessed:
= group assignment ? = Type E final exam ?

Assessment summary

Group report: This is the first part of the group assignment and the aim of this assessment is to build students’ teamworking and collaborative skilsl as they work in teams to formulate a group view of a specific topic.
Group presentation: This second part of the group assignment requires the group to do a presentation on the chosen group topic.
Online Quiz: The aim of this assessment is to test the students’ understanding of the relevant topics and students’ ability to critical analyse and apply theory and concepts from Week 1-6.
Participation: The aim of this assessment is to help facilitate peer-learning through discussion whilst building communicative abilities and confidence.
Final exam: The aim of the exam is to test the students’ understanding of the relevant topics and the students’ ability to critically analyse and apply theory and concepts. Thus, the breadth and depth of understanding will be assessed.

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.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Please note the University of Sydney Business School's policy regarding late penalty, word length and academic integrity:https://business.sydney.edu.au/student/policy). The policy may be different from the other faculties that you are familiar with. Please also note the additional marking rubrics and information posted on Canvas regarding penalties.

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.

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.

Weekly schedule

WK	Topic	Learning activity
Week 01	Zoom and Online Module: Introduction to OB and course expectations	Lecture (2.5 hr)
Week 02	Online Module: Attitudes and job satisfaction	Lecture (2 hr)
Week 02	Group allocation and individual reflection activities	Tutorial (1 hr)
Week 03	Online Module: Self-leadership and learning	Lecture (2 hr)
Week 03	Self leadership self-assessment and Group Reflection	Tutorial (1 hr)
Week 04	Zoom and Online Module: Individual decision-making	Lecture (2.5 hr)
Week 04	"Social Media Policy" case study	Tutorial (1 hr)
Week 05	Online Module: Power and Politics	Lecture (2 hr)
Week 05	Group report preparation and feedback	Tutorial (1 hr)
Week 06	Online Module: Foundations of group behaviour	Lecture (2 hr)
Week 06	Case study: "Managing Up (A): Grace"	Tutorial (1 hr)
Week 07	Online Module: Trust and team building; Online Quiz during lecture.	Lecture (2.5 hr)
Week 07	Review and evaluate a video entitled "Building Trust in Virtual Teams".	Tutorial (1 hr)
Week 08	Online Module: Managing diversity	Lecture (2 hr)
Week 08	Online Tutorial: Discussion and practice quiz on Diversity	Tutorial (1 hr)
Week 09	Work and organisational design	Lecture (2 hr)
Week 09	Engaging with feedback and reflection for group presentation	Tutorial (1 hr)
Week 10	Online Module: Organisational culture	Lecture (2 hr)
Week 10	Group presentation 1	Tutorial (1 hr)
Week 11	Online Module: Organisational change	Lecture (2 hr)
Week 11	Group presentation 2	Tutorial (1 hr)
Week 12	Unit review and exam discussion and preparation	Lecture (2.5 hr)

Attendance and class requirements

Lecture recordings: All lectures and seminars 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

Robbins, S., Judge, T., Edwards, M., Sandiford, P., Fitzgerald, M., Hunt, J. (2020). Organisational Behaviour (9th Ed). Melbourne: Person.

All other readings for this unit can be accessed through the Library eReserve, available on Canvas. There are also additional resources that may be cited during the lectures, so also please pay attention to these too.

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. explain and evaluate the main models of organisational behaviour
LO2. apply theories and frameworks to analyse and provide solutions to real problems in organisational behaviour
LO3. reflect and apply the theoretical concepts into the relevant personal experience and engage in experiential learning, that is, learning by doing
LO4. work collaboratively to complete tasks and recognise and value the input of group discussions and individual autonomy and accountability to the delivery of outcomes.

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.

Additional support for students' assessment preparation will be provided.

Additional information

More information can be found on Canvas.

Business School Policies

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.

Current students

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

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

WORK2218: Managing Organisational Behaviour

Semester 2, 2020 [Normal day] - Camperdown/Darlington, Sydney

Overview

Overview

Unit details and rules

Teaching staff

Assessment

Assessment

Assessment summary

Assessment criteria

Late submission

Academic integrity

Learning support

Learning support

Simple extensions

Special consideration

Using AI responsibly

Weekly schedule

Weekly schedule

Attendance and class requirements

Study commitment

Required readings

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