Outline

Overview

The unit provides Business School HDR students with an understanding of research design as the foundation for effective and interesting research. It emphasises a systematic approach to developing rigour in research design, building theoretical and paradigmatic links from a research idea to the design of research methods.

Unit details and rules

Academic unit	Business School
Credit points	6
Prerequisites ?	None
Corequisites ?	None
Prohibitions ?	None
Assumed knowledge ?	None
Available to study abroad and exchange students	No

Teaching staff

Coordinator	Sabina Nielsen, sabina.nielsen@sydney.edu.au
Lecturer(s)	Bo Nielsen, bo.nielsen@sydney.edu.au

Type	Description	Weight	Due	Length
Assignment	Critical literature review Literature review	35%	Week 04 Due date: 22 Mar 2022 at 17:00	1500 words
Outcomes assessed:
Presentation	Presentation of research proposal Oral presentation	15%	Week 07 Due date: 07 Apr 2022 at 09:00 Closing date: 08 Apr 2022	10 minutes, 10-15 slides
Outcomes assessed:
Assignment	Research proposal Proposal	50%	Week 08 Due date: 15 Apr 2022 at 17:00	4000 words
Outcomes assessed:

Assessment summary

Critical literature review: In this task, you will provide 1) the context/motivation for your research including a clearly stated research question, and 2) conduct a critical evaluation of the peer-reviewed literature related to a component of your proposed research following guidelines and discussions in class. You should be aiming for around 4-5 pages and your review should encompass 10-15 articles. You should focus on providing a brief history of relevant research in the proposed area, using key literature that explains what has been done, the limitations of what has been done, and the gaps which your research aims to fill. You are expected to discuss relevant theories in your area with a focus on how to contribute to these.
Research proposal: Building on the literature review, you will prepare a preliminary version of your research proposal which will include: 1) Context/motivation for your research, including clearly stated research question; 2) critical literature review identifying the gaps that your research aims to fill; 3) design of your study, including methods you will use (and how you will use them) to answer your research questions, data needs and collection etc.; 4) Project resources you will require and schedule; 5) original contribution to your field of research, including theoretical contribution(s).
Presentation of research proposal: Students will present a PowerPoint presentation summarising their research proposal to lecturing staff and class colleagues with 5 minutes for questions and answers. The focus should be on research design - NOT literature review. Discuss data and methodological issues related to how you are going to answer your research question(s); focus on issues of: 1) levels of analysis; 2) causality; 3) time (both in relation to data collection and analysis); 4) possible limitations and biases inherent in research design.

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.

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	1. The nature and process of business research: what is meant by business research? Why do business research?; 2. The process of business research; 3. Research and ethics	Online class (3 hr)
Week 02	Theory development: the role of theory in business research and how to make a theoretical contribution	Online class (3 hr)
Week 03	Research design 1: developing interesting and appropriate research questions	Online class (3 hr)
Week 04	Research design 2: the art of literature review - toward literature analysis and the art of writing a good introduction	Online class (3 hr)
Week 05	Research design 3: matching research question to empirics - data and methods	Online class (3 hr)
Week 06	Research design 4: utilisation of appropriate methods - measurements, verification, validation, and interpretation	Online class (3 hr)
Week 07	Individual research proposal presentations and wrap-up	Online class (3 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

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

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. develop an appropriate research proposal for a relevant research area and questions within your own disciplinary area of expertise
LO2. understand the purpose of research design: methodologies; theoretical perspectives, and epistemology
LO3. demonstrate ethical and social awareness and responsibility in personal decision-making and research behaviour within your own disciplinary area of expertise
LO4. use a range of communications strategies to critique and debate with others about appropriate responses to complex and unfamiliar problems within one or more fields of business practice.

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.

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

Additional information

Consultation hour: Please note that during the semester, each student has the option of 1-hour consultations on PhD projects, including design, theory, and methodological issues. Time slots are available during the week but may also be individually booked. This one-hour individual consultation should be used wisely as it represents a unique opportunity to consult on project-specific issues that may go beyond the current class.

More information can be found on Canvas.

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

BUSS7901: Business Research Design

Semester 1, 2022 [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