PS4T10 - DISSERTATION - MANAGEMENT RESEARCH PROJECT 01 Sep 2020 - 31 Aug 2026 | Version 4

Associated Module Information

Module Code: PS4T10
Module Title: DISSERTATION - MANAGEMENT RESEARCH PROJECT
Faculty: Faculty of Business and Creative Industries
Faculty Group: Operations Management
Faculty Sub Group: Operations Management
Module Leader: Sehwa Lim, Scott Parfitt
Module Team: Mark Waggett, Victoria Pledger, Steffan James, Darar Apiri, Luke Evans, Paul Byard, Oluseyi Adeyemi, Sharmin Julie, Simon Thomas, Sriram Chinnadurai, Kieron Barnard, Natalie Shawley, Fahmida Khandokar, Paul Thomas, Amy Nguyen
First Intended Intake: SEP 2007 Final Year of Intake: 2018
Date Closed:
Credit Value: 60 Credit Level: 7
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100078 - business and management
HECOS Code Weighting: 100

Document Version Information

Version 4
Valid From 01 Sep 2020
Valid To 31 Aug 2026

Module Aims

The Dissertation is a significant piece of student-directed learning, based on a detailed investigation into a business-related phenomenon. The dissertation requires students to demonstrate the following:
·Originality.
· A clear definition of the issue under investigation and a clear statement of the aims of the study.
· An understanding and use of appropriate research methodology indicating skills in data collection and analysis.
· If appropriate, an analysis of existing practice within the organisation(s) in terms of the theoretical framework established for the study and in terms of comparative practice.
· The extent to which all of the above result in a set of conclusions which are consistent with the research. The setting out of clear recommendations for action, adoption or otherwise.

Content Summary

Students will be taught how to properly structure their dissertation report. Additionally, the module shall also cover an overview of the philosophical perspective associated with organisation studies, as well as the data collection and analytical techniques associated with classic empirical analysis. Students will be taught both quantitative and qualitative methods. Qualitative methods will focus on coding techniques to generate a thematic output (discourse analysis, thematic analysis). Quantitative methods will focus on univariate, multivariate, correlation and regression techniques .In relation to the focus of the (dissertation) study, work submitted by candidates demonstrates their ability to reflect upon and review critically their experience and the work of others within the field of Supply Chain Management, Logistics and Procurement. Concepts and issues are analysed and evaluated and the submitted work shows an ability to select and order evidence and arguments. Discussion is placed within a clearly defined conceptual framework. The work is well presented and is fluent, readable and scholarly in style. In the dissertation, there is a clear explanation of the chosen methodology, satisfactory application of chosen methods and identification of potential weaknesses in the research design. Work of outstanding quality is characterised by evidence of a new synthesis which emerges through the critical analysis of the candidate's own educational experience and the work of others. As a result, the work submitted shows originality and insight.

Learning and Teaching Methods

Activity Type Hours
Lecture 16
Tutorial 12
Project supervision 9
Independent Study 543
Directed Study 20
Total Hours Selected 600

Learning Outcomes

# Learning Outcome
LO1 Demonstrate analytical skills, based on a comprehensive and systematic approach to the handling of primary and secondary data.
LO2 The ability to evaluate, appraise, critique and present new ideas, models and concepts, to identify any biases and assumptions inherent in these and therefore develop knowledge within the subject area.

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Asynchronous Assessment Dissertation / Major Project 1 Dissertation 0 18000 100 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Dissertation / Major Project 1

Reading List

Mark Easterby-Smith, Richard Thorpe & Andy Lowe Management Research : An Introduction, Sage Publications Ltd, ISBN 080398393X

Field, A., 2017. Discovering statistics using IBM SPSS statistics: North American edition. Sage.

Academy of Management Review - Editorials

Online resources