MANG6322 Foundations of Research in Accounting & Finance SEMESTER 2 2023/24Python

Java Python SEMESTER 2 2023/24

Module Code:		MANG6322			Assessment:	Individual Proposal		Weighting:		70%
Module Title:		Foundations of Research in Accounting & Finance
Submission Due Date: @ 16:00				Tuesday 14th  May 2024			Word Count:		2000-2500
This assessment has the following  learning module outcomes:
A. Knowledge and Understanding	A1. Demonstrate understanding of research methodologies; A2. Understand and critically analyse academic papers.
B. Subject Specific Intellectual and Research Skills	B1. Interpret the results of data analysis, and understand the strengths and weaknesses of different methods; B2. Prepare an effective research proposal, formulate research questions, and choose appropriate data collection methods and analysis.
C. Transferable and Generic Skills	C1. Apply analysis skills, which include qualitative data interpretation and quantitative analysis skills; C2. Apply critical analytical skills on research projects; C3. Plan and control effectively for successful completion of workload; C4. Communicate effectively in writing, using and justifying argument within reports. C5. Prepare and orally present research data and information.

INDIVIDUAL RESEARCH PROPOSAL BRIEF:

Your research proposal should include the following aspects:

Research purpose

1. Introduction: introduce the research problematisation that underlies your choice of topic and its background or connection to the relevant literature/evidence. What is the research all about? Why is it important or interesting?

2. Overall aim(s) and objective(s) and research question(s)

Literature review

To comprehensively understand the existing research landscape in your area, it is crucial to delve into both theoretical and empirical literature, which will lead to the development of the hypotheses. Therefore, you are expected to review the existing theoretical and empirical literature and develop hypotheses in this section.

The section should include:

1. Theoretical framework

2. Empirical evidence

3. Hypotheses (where appropriate)

Methodology

Which research paradigm do you intend to use and why is it most appropriate?

Research methods

What will your data sources be (databases, questionnaires, interviews, etc)? What method of analysis are you likely to use?

Critique of project

What limitations do you envisage of your research? Research project timetable.

References

Ensure your proposal is fully and properly referenced.

Nature of Assessment: This is a SUMMATIVE ASSESSMENT. See 'Weighting' section above for the percentage that this assignment counts towards your final module mark.

Word Limit: +/-10% either side of the word count (see above) is deemed acceptable. Any text that exceeds an additional 10% will not attract any marks. The relevant word count includes a cover page, executive summary, title page, table of contents, tables, figures, in-text citations and section headings if used. The relevant word count excludes your list of references and any appendices at the end of your coursework submission. You should always include the word count (from Microsoft Word, not Turnitin), at the end of your coursework submission, before your list of references.

Title/Cover Page: You must include a title/ cover page that includes: your Student ID, Module Code, Assignment Title, Word Count. This assignment will be marked anonymously, and please ensure that your name does not appear on any part of your assignment.

References: You should use the Harvard style. to reference your assignment. The library guides how to reference in the Harvard style, and this is available from http://library.soton.ac.uk/sash/referencing

Submission Deadline: Not later than 16.00 on Tuesday 14th May 2024

Turnitin Submission: The assignment MUST be submitted electronically via Turnitin, accessed via the individual module on Blackboard. Further guidance on submitting assignments is available on the Blackboard support pages.

You must allow enough time before the submission deadline to ensure your submission is processed on time as all late submissions are subject to a late penalty. We recommend you allow 30 minutes to upload your work and check the submission has been processed and correct. Please make sure you submit to the correct assignment link.

You will know that your submission has completed successfully when you see a message stating 'Congratulations – your submission is complete…'. It would help if you made a note of your Submission ID (Digital Receipt Number). This is a unique receipt number for your submission and is proof of successful submission. You may be required to provide this number at a later date. We recommend that you take a screenshot of this page, or note the number down on a piece of paper. You should also receive an email receipt containing this number, and the number can be found after submitting by following this guide. This method of checking your submission is beneficial if you don't receive an email receipt