Description
I need help with my dissertation, what I need now is my chapter 1 – 3 comprising of 4500 word.
I have a review with by supervisor, so I need someone that can get it to me within 2 days. I will invite the same tutor starting this work for other chapters and work regarding the dissertation until it’s completion.
The details of the Dissertation has been attached below.
The referencing style is Havard and should be no less than 45 references.
Please go through the corrections of the proposal before you begin and apply them to the work.
I’ll also need to know the specific topic chosen via the suggested corrections. I want an excellent work.
And also correction to the proposal and details for my ethical clearance.
Unformatted Attachment Preview
1
UNIVERSITY OF SUNDERLAND
PGBM161
Project Proposal
The Role of Business Analytics in Enhancing Financial DecisionMaking in Retail Industry
Introduction
This project proposal’s introduction explores business analytics’s crucial role in improving
financial decision-making procedures. Businesses looking to maximize their financial plans must
now use business analytics in today’s dynamic and data-driven corporate environment. The
capacity to draw meaningful conclusions from massive datasets has emerged as a critical success
factor as the global business environment becomes more complicated and competitive. To
increase profitability, risk management, and strategic planning, this proposal intends to highlight
the enormous impact of skilled business analytics on financial decision-making.
In light of these factors, our proposal points out a significant research gap: the requirement for a
thorough investigation of how business analytics might be used to enable more informed and
efficient financial decisions. This proposal aims to fill this research gap by outlining the
conceptual framework, techniques, and potential conclusions of such an examination.
Additionally, it describes the project’s aim to offer a nuanced comprehension of the complex
connection between corporate analytics and financial decision-making. The objectives,
methodology, and anticipated contributions of this research will be covered in detail in the
following sections, giving a thorough overview of the proposed study’s breadth and structure.
Background/brief literature review
The retail sector is at the cutting edge of a corporate environment that is continually changing
due to technological breakthroughs and shifting consumer habits. The profitability and longevity
of a retail business depend critically on its capacity to make knowledgeable and wise financial
decisions in this dynamic environment (Wang et al., 2020, p.387). Business analytics, which uses
predictive modelling, data visualization, and data-driven insights, has become essential for
improving financial decision-making in the retail industry.
Across industries, there has been a discernible transition over the past ten years from
conventional intuition-based decision-making to a more data-centric approach. This change has
particularly affected the retail industry because there are now unheard-of opportunities to gain a
deeper understanding of customer preferences, supply chain dynamics, inventory management,
pricing strategies, and overall performance metrics (Niu et al., 2021, p. 26). Due to this change,
business analytics are now critical in driving financial decision-making.
The growth of e-commerce and the digitization of consumer interactions have been critical
factors in the retail industry’s transition. Vast volumes of data are produced as customers interact
with shops more frequently through online and mobile platforms, capturing helpful information
about browsing preferences, past purchases, and even sentiment analysis through social media.
Traditional brick-and-mortar stores have also embraced technology, using tools like customer
loyalty programs and point-of-sale systems that provide a lot of data. As a result, merchants must
now overcome the difficulty of deriving actionable insights from multiple data sources, making
business analytics essential.
Business analytics are used in many different areas of the retail industry. Understanding and
segmenting consumer demographics, behaviours, and preferences requires customer analytics.
With this data, retailers can customize their marketing plans, enhance their product lines, and
enhance the shopping experience, all of which impact their bottom lines. Supply chain analytics
improve demand forecasting accuracy while streamlining inventory management and lowering
operating expenses. Retailers can reduce the risk of stockouts or excess inventory by using
historical data and predictive modelling to make more educated decisions about purchasing,
warehousing, and distribution.
Additionally, pricing analytics allows businesses to improve pricing plans based on rival pricing,
customer sensitivity, and previous sales information. Real-time price adjustments can be made
using dynamic pricing algorithms to increase sales and profit margins. Business analytics also
assists in risk management and fraud detection by spotting odd transaction patterns and potential
holes in the payment system. The enormous influence of business analytics on financial decisionmaking within the retail industry has been highlighted by numerous studies. According to
Ahmad et al.’s study (2020, p. 26), a big retail chain’s sales revenue increased by 15% due to
customer analytics. The same may be said about Chaudhary and Alam’s (2022) discussion of
how supply chain analytics lowered inventory holding costs by 12% while upholding high
service levels. These findings underline the potential of business analytics to drive tangible
financial benefits.
In conclusion, technology breakthroughs and changing consumer dynamics are driving a
transformational period in the retail industry. Retailers may now harness the power of data for
insights that cover customer behaviour, supply chain management, pricing strategies, and risk
mitigation, thanks to the development of business analytics (Lee et al., 2020, p. 287). Leveraging
business analytics offers retailers a competitive advantage that can result in increased financial
performance and long-term growth as they strive to succeed in a market that is becoming
increasingly competitive. Focusing on its procedures, difficulties, and ability to change financial
results, this research project attempts to look deeper into the varied role of business analytics
within the retail industry.
Research questions and objectives
Research Questions:
1.
How can the retail sector’s working capital management be improved through data
analytics techniques?
2.
In the retail market, what are the main trends and patterns that data analytics have shown
to affect working capital components, including accounts receivable, accounts payable, inventory
turnover, and cash conversion cycle?
3.
How does the use of data analytics for working capital management affect how retail
businesses make financial decisions?
4.
How do businesses in the retail sector that have integrated data analytics into working
capital management compare financially and operationally to those that haven’t?
Research Objectives:
1.
How data analytics may help the retail sector with working capital management and
financial decision-making.
2.
To investigate the valuable methods and procedures for incorporating data analytics to
enhance working capital management in the retail sector.
3.
To use data analytics approaches in the retail industry to assess trends, connections, and
potential areas for improvement within working capital components.
4.
To evaluate and comprehend how data analytics affects financial decision-making
procedures, clarifying how data-driven insights influence strategic decisions within the retail
sector.
5.
To evaluate and contrast the financial success and operational effectiveness of businesses
in the retail sector that have implemented data analytics for working capital management with
those that have not.
Methodology
Research Design: This study’s research design employs a mixed-methods methodology that
combines quantitative analysis with qualitative observations. A dual approach has been chosen to
thoroughly examine the incorporation of data analytics into working capital management and its
effect on financial decision-making within the retail business. Using both quantitative and
qualitative methodologies enables a comprehensive knowledge of the intricate dynamics and
varied results related to data analytics.
The quantitative component is gathering and analyzing numerical data from retailers’ businesses.
A sample of companies will be used to collect financial and operational KPIs such as accounts
receivable, accounts payable, inventory turnover, and cash conversion cycle. Rigid statistical
analysis will be performed on these data points using regression and trend analysis. The
quantitative component allows for spotting statistical correlations, patterns, and trends that shed
light on how data analytics affect working capital and financial performance.
The qualitative component, which supports the quantitative research, comprises interviewing and
surveying industry professionals, financial managers, and executives from businesses involved in
the retail sector. With this qualitative method, I aim to fully capture the complex insights,
viewpoints, and contextual information that quantitative statistics may not be able to convey
correctly. Interviews and surveys will probe the qualitative effects of enhanced working capital
management, integration problems, and decision-making processes driven by data analytics. The
qualitative stage offers a greater comprehension of adopting data analytics’s organizational and
human aspects.
Data Collection: The retail industry, which includes a wide range of businesses operating in the
manufacturing, retail, and technology sectors, will be the focus of the study. The following
crucial steps will make up the data collection procedure:
1.
Quantitative Data Collection: A purposive sampling method will be used to choose a
representative sample of businesses from the retail industry. I will extract financial and
operational information from business financial reports, annual reports, and pertinent databases.
The analysis of working capital measurements and their relationships to data analytics
integration will start with this quantitative dataset as a base.
2.
Qualitative Data Collection: A purposeful sample of business leaders, finance
managers, and industry experts will be interviewed if available. These semi-structured interviews
aim to obtain qualitative information about using data analytics in working capital management.
Participants will be encouraged to share their experiences, difficulties, and viewpoints regarding
the influence of data analytics on financial decision-making through open-ended questions. The
qualitative information will give the quantitative findings more perspective and depth.
The research’s dual goals to qualitatively comprehend the complex dynamics of data analytics
integration and its impact on financial decision-making and to quantitatively analyze the effects
of data analytics on working capital metrics—have influenced the choice of this mixed-methods
approach. This strategy allows for a thorough examination of the study topics. It offers a
comprehensive viewpoint on the interactions between data analytics, working capital
management, and financial decision-making in the retail industry.
In sum, the technique chosen for this study represents a purposeful and strategic approach to
addressing the research objectives. The integration of data analytics into working capital
management in the retail business is thoroughly investigated thanks to the combination of
quantitative analysis and qualitative insights. This study’s conclusions are more credible,
legitimate, and comprehensive thanks to the research methodology and data collection method,
which also allow for a thorough examination of the intricate connection between data analytics
and financial decision-making procedures.
Time scale-Gantt chart:
Tasks
Month 1
Month 2
Month 3
Month 4
Month 5
Month
6
1. Literature Review
2. Research Design &
✓
✓
✓
✓
Framework
3. Ethics Approval (if
✓
applicable)
4. Quantitative Data
✓
✓
Collection
✓
5. Qualitative Data
Collection
✓
6. Data Analysis
✓
(Quantitative)
✓
7. Data Analysis
(Qualitative)
✓
8. Integration & Synthesis
9. Writing Draft Chapters
✓
✓
✓
10. Review & Revision
✓
11. Final Editing &
✓
Proofreading
12. Submission of Research
Proposal
The Gantt chart above shows a thorough timeline for the various stages of the research proposal.
The timetable covers vital activities, including literature reviews, study designs, data collection
(quantitative and qualitative), data analysis, synthesis, and the final preparation and submission
of the research proposal over six months. The tasks are arranged and sequentially scheduled in
the timetable to guarantee that the research proposal is successfully finished within the allotted
time.
Resources
Resources must be carefully allocated for the research, falling into three key categories: funding,
data access, and hardware. Financial arrangements are necessary to pay for data collection,
processing, and prospective travel for interviews or surveys. For thorough analysis, it is essential
to have access to pertinent primary and secondary data sources. To enable efficient study
execution, adequate equipment is necessary. That includes software for data analyses, statistical
tools, and interview recording. A thorough investigation of the integration of data analytics in
working capital management will be made possible by balancing these resource considerations,
providing insightful information for improved financial decision-making in the target industry.
References
Ahmad, S., Miskon, S., Alabdan, R. and Tlili, I., 2020. Towards sustainable textile and apparel
industry: Exploring the role of business intelligence systems in the era of industry 4.0.
Sustainability, 12(7), p.26.
Chaudhary, K. and Alam, M., 2022. Big data analytics: applications in business and marketing.
Auerbach Publications.
Lee, M., Cai, Y.M., DeFranco, A. and Lee, J., 2020. Exploring influential factors affecting guest
satisfaction: Big data and business analytics in consumer-generated reviews. Journal of
Hospitality and Tourism Technology, 11(1), pp.137-153.
Niu, Y., Ying, L., Yang, J., Bao, M. and Sivaparthipan, C.B., 2021. Organizational business
intelligence and decision making using big data analytics. Information Processing &
Management, 58(6), p.10-25.
Wang, Z., Wang, N., Su, X. and Ge, S., 2020. An empirical study on business analytics
affordances enhancing the management of cloud computing data security. International Journal
of Information Management, 50, pp.387-394.
11
Student Name/ID
Project Title
Supervisor Name
PGBM161 MBA Project Marking & Student Feedback – June 2023
Submission Date
Tasks/Expected marks
Presentational issues: [Mark 5%] Title page; Table of Contents; Abstract/Executive Summary (200 words) – what has been covered and the main
outcome(s); etc. Wordcount/12000 words. Reference list; Appendices including Research proposal (final version), Research Ethics approval letter.
Chapter 1, Introduction: [Mark 10%/500 words] context of the study; a strategic overview; rationale; importance to an organisation or business
sector; appropriate scope – key question(s) and objectives.
Chapter 2, Literature Review: [Mark 20%/2000 words]: robust, critical depth, logical, coherent, and focused; main purpose; important areas of
research and enquiry; project key question(s) and objectives; expanding the body of knowledge; review both the academic literature and the
empirical practices that organisations operate; areas of difference and consensus; conceptual framework based on 4-6 key ideas and principles; good
range of relevant and contemporary sources.
Chapter 3 Methodology: [Mark 15%/2000 words]: a critical review; primary and secondary research methods that are possible and deployed; valid
and reliable sources of information against objectives; sample sizes; research instruments (interviews, questionnaires, case studies etc.).
Chapter 4 Data analysis/presentation of findings: [Mark 15%/2000 words]: evidence of data analysis; presents and discusses the research findings
from both primary and secondary sources; emphasising new material collected specifically for the project; engaging with new and original material
collected; Data presented systematically and structured clearly around tables – if appropriate – or in terms of outcomes against the areas identified
from the literature and linked back to project objectives.
Chapter 5 Discussion of Findings: [Mark 15%] interrogates the findings by asking questions: what is significant? where is there key agreements
between participants /sources? what are the main areas of disagreement? how do the findings reflect the outcomes (confirm or deny) from the
literature review etc.? what does this say about important ideas to shape policy /strategy and its implementation? (Approximately 2000 words)
Chapter 6 Conclusion and Recommendations: [Mark 10%] 1/Conclusions (1000 words) draws together findings to answer key research
question(s)/objectives; defines what now can be done; summarises main points; decides what stance to be taken with respect to practices /policies;
avoids introducing new ideas/debates which would need reworking earlier chapters. 2/Recommendations (500 words) moves from a research stance
to a leadership stance; advocates a possible direction for the organisation/sector; carefully presented in management terms; clearly states what
issue / opportunity is being addressed and the impact desired; states what should be done and says something on implementation; resources,
barriers, risk, timescales, and organisation of changes; is solution driven; no new ideas introduced and is derived from the actual work done.
Chapter 7 Reflections on developing your personal competence: [Mark 10%/2000 words] programme experience/learning; professional identity;
evidence collated throughout the module; a reflective commentary: initial motivations for undertaking an MBA; central components of professional
identity during Semester 1; learning about self as a developing business professional; how the learning will shape future professional self.
Overall Marks/Comments [Mark 100%.]
First Marker Comments/Name/Date:
09 June 2023
Marker Comments
Marks %
Overall Module Mark (%)
Second Marker Comments/Name/Date:
Module Team: Yannis Smirnis; Yasshar Salamzadeh; Peter Coleman; Ryan Williams; Philip Arthur; Brian Ross; Steve Wharton; Iris Ren; Konstantinas Biginas; Elaine Crawford; Peter Asuata; Austin Okeke. Module
Leader: Dr Augustus Osseo-Asare.
2022-23 University of Sunderland, FBLT, Sunderland Business School.
Dear all,
I hope you are doing well. I deeply apologise about the feedback delay. I was unwell last week
and I have only recovered few days ago. Apologies in advance, this is a lengthy email. Please I
advise you all read thoroughly.
I am glad that I have provided feedback on everyone’s work. Well done everyone! I am glad that
you have made a good start with your research proposals and chapters.
While I read your proposals, I noticed some flaws which I want to highlight.
Research Topic: Everyone please review your research topic and make sure it is specific, clear
and concise. Some research topics are too broad and not properly crafted.
Research questions and objectives: Some of you had many research questions which were not
really relevant to your research topic. Some research objectives were also poorly formulated.
I have attached a link to a YouTube video which explains how to formulate Research aims,
objectives and questions:
https://www.youtube.com/watch?v=9d3JOmCzfw&pp=ygU1aG93IHRvIHdyaXRlIHJlc2VhcmNoIHF1ZXN0aW9ucywgYWltcyBhbmQgb2Jq
ZWN0aXZlcyA%3D
Here is another link to a site which explains how to formulate Research questions, aims and
objectives:
https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2
ahUKEwjitqKen_2BAxWGQkEAHXhMBMoQFnoECCUQAQ&url=https%3A%2F%2Fresearchmethodology.net%2Fresearch-methodology%2Fresearch-aims-andobjectives%2F&usg=AOvVaw3eNWsyzatt9dePmcAekYGz&opi=89978449
Please make sure you watch the YouTube video and read the article on research objectives
formulation. They will really help.
In order to write an excellent dissertation, you have to be knowledgeable. And so, it is important
to read so you can enhance your understanding and skills. I have attached a reading list to help
with this. The reading list is in the Dissertation Structure Word Document. I know I have sent it
before. Please look at it again and make sure you read at least one of these text books.
Referencing, Typographical and Grammatical errors: As I read through your proposals, I noticed
there were some in-text citation errors, typo and grammatical errors. Please always make sure
that you proof-read your work before submitting for review. Also, make sure that you follow the
Harvard Style of referencing. I have attached a PDF document of the referencing guide for your
use.
Methodology: I realised that some student’s methodology section was under-developed and
was not clear. There was no clarity regarding the appropriate choice of methodology, sampling
technique, method of data collection and data analysis techniques.
According to the MBA Dissertation Supervision Timeline, you should have started writing your
Literature Review and Methodology chapters. Also, you should be getting ready to apply for
ethical clearance. In order to apply for ethical clearance, you should know clearly your
methodological approach, sample population, sample size, method of data collection and data
analysis. Your method of data collection instrument (questionnaire or interview guide) should
also be ready.
Guidance on how to apply for ethical clearance is below. I have attached the links to the site.
Research ethics | The University of Sunderland
https://www.sunderland.ac.uk/more/research/research-governance-integrity/ethics/apply-ethicalreview/
A link to the template of a Consent Form and Participant information sheet is attached below:
https://www.sunderland.ac.uk/images/external-websites/www/research/helpsheets/RevisedConsent-and-PI-Sheet.pdf
Our next Supervision meeting will be on Microsoft Teams on Friday 20th October from 2-5pm. It
is a block meeting. I will spend 25 mins with each student. Please let us keep this in our
calendars and make sure we are available. If you will not be able to make it, please let me know
ahead of time. With respect to this meeting, please I want to see everybody’s Methodology
Chapter latest by 12 noon on Friday 20th October. Please submit this chapter to me via email.
I will send the Microsoft Teams invite soon. Please endeavour to accept the invite.
Thank you all for your cooperation and patience.
Looking forward to our meeting on Friday.
Kind regards,
The format of your project may well vary dependent on the topic of your research and
discussions with your supervisor will be extremely helpful in this aspect of the
decision-making process. It is likely that your report will be made up of several key
sections.
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Executive summary
Statement of originality and authenticity (see section 13 of this handbook)
Title page
Contents
Lists of figures and tables
Chapter 1: Introduction and context of the study
Chapter 2: Literature review
Chapter 3: Methodology
Chapter 4: Presentation of research findings
Chapter 5: Discussion of findings
Chapter 6: Conclusions and recommendations
Chapter 7: Reflections on developing your personal competence.
Reference list – Harvard Referencing Style
Appendix (to include evidence to support reflections)
For further guidance:
There should be an Executive Summary (approximately 200 words) at the beginning
which should review what has been covered and the main outcome proposed.
Chapter 1, Introduction, and context of the study. This should cover a strategic
overview developing and enhancing the first section of the proposal covering the
rationale for the project and its importance to an organisation or business sector. This
may be expressed in terms of sustaining competitive position or improving that position.
This section might usefully consider the subject from the threats, opportunities, and
business contextual factors. It should avoid too broad a scope. This might discuss
improvement to internal business processes: customer care, service quality,
improvement in skills and or organisation of resources etc. It might include better
service delivery, marketing strategies or identification of new markets and or products or
services to the external business environment. These are illustrative only.
(Approximately 500 words)
Chapter 2, Literature Review The work will include a robust and critical literature
review. The main purpose is to establish the important areas of research and enquiry
such that the project objectives can be achieved. It serves an important purpose in
expanding the body of knowledge that we have with which to understand current
performance and as a secondary base to build better informed practices for the future. It
should review both the academic literature and the empirical practices that
organisations operate. Your ability to shape the ideas and practices is one of the key
skills. It is not just a question of presenting other authors ideas without comment. The
better marks are to be achieved whereby you identify areas of difference and
consensus and from these works draw a strong conclusion as to what is important in
managing the area under review. The outcome is likely to have not much more than 4-6
key ideas and principles in the conclusions and will be framed around the question
‘what makes this a successful strategic business practice- and how can it be managed
effectively in practice’. These will be the areas you will further examine in your research.
This needs to be written in logical and coherent chapters that flow together. It should be
clear as to what is being covered and it should avoid extending into too many areas
otherwise critical depth is lost. The number of primary sources will vary. We expect a
good range of relevant and contemporary sources but the treatment of them is more
important than shear number. (Approximately 2000 words).
Chapter 3 Research Methodology The project must include a critical review of both
primary and secondary research methods that are possible but more importantly those
deployed in the project from the perspective of such things as selecting valid and
reliable sources of information against the objectives. Discussion of sample sizes and
drawing reliable conclusions). It should address specific tools used (interviews,
questionnaires, case studies etc.) and the various strengths of these and how they can
be best designed and used for the designated project. (Approximately 2000 words)
Chapter 4 Presentation of Research findings There must be a strong section which
presents and discusses the research findings from both primary and secondary sources
but emphasising new material collected specifically for the project. This section is
important as this is the area where you engage with new and original material that you
have collected, and the skills deployed here are definitive in terms of the scope final
assessment grade together with the recommendations. Data must be presented
systematically and structured clearly around tables – if appropriate- or in terms of
outcomes against the areas identified from the literature and linked back to project
objectives. (Approximately 2000 words)
Chapter 5 Discussion of Findings Having presented the data descriptively you will be
expected to interrogate the findings by asking questions of your information such as:
what is significant here, where is there key agreements between participants /sources
what the main areas of disagreement are, how does this information reflect the
outcomes (confirm or deny) from the literature review etc. What does this say about
important ideas to shape policy /strategy and its implementation. (Approximately 2000
words)
Chapter 6 Conclusion and Recommendations You will need a conclusion which
draws together the findings from your research and the literature review and start to
feedback and comment on the possibilities that now arise in terms of meeting the
objectives. It should shape the agenda and start to define what it is you now think can
be done. It should summarise main points and decide what stance you are taking with
respect to the practice /policies under review. It should flow naturally from the earlier
work. This section should not introduce new ideas or new debates even if you have
discovered new information! If this is the case earlier chapters need reworking.
(Approximately 1000 words)
Recommendations should follow the conclusions. At this stage you move away from a
research stance and adopt a leadership stance. Here you will advocate a possible
direction for the organisation or sector. It can be specific as to future strategy and policy
or it might offer an alternative view and scenario depending on particular future
contexts. It should be carefully presented in management terms. Imagine you are
presenting to a body of interested organisational managers with different levels of
commitment to what you are proposing! It should clearly state what issue / opportunity
is being addressed and the impact desired. It should state what should be done and it
should say something on the implementation around, resources, barriers, risk,
timescales, and organisation of the changes. It should not overly direct to further work
or decisions otherwise the project is likely to be overly ‘contextual ‘and general and not
solution driven. Again, no new ideas should be introduced here, and it should be clear
how the recommendations can be derived from the foregoing work. (Approximately 500
words).
Chapter 7 Reflections on developing your personal competence. This chapter
provides the opportunity for you to reflect on your programme experience and the
learning which has impacted on the development of your professional identity. Drawing
on evidence you have collated throughout the module you are to write a reflective
commentary which addresses the following: what were your initial motivations for
undertaking an MBA and what were the central components of your professional
identity during semester 1? What did you learn about yourself as a developing business
professional and how that learning will shape your future professional self?
(Approximately 2000 words)
The dissertation/project should be approximately 12000 words. However, the exact
make-up of the sections may vary. It is unlikely you will be able to meet the learning
outcomes in terms of depth and range of analysis in a study of less than 12000 words.
The remainder of the dissertation/project should comprise your research proposal (final)
and the reference list and appendices which evidence content in the main body of your
report. Appendices should be carefully selected. They should be referenced in the main
body of the study and should clearly relate to and provide further important reference for
the reader. They should not be included if they have no central bearing on the study or
simply a catalogue of all organisational information you can find.
Suggested Reading
The following is an indicative reading list for the module which can also be accessed
through the https://canvas.sunderland.ac.uk/courses/60205/external_tools/91537 link in
Canvas.
Bassot, B. (2016) The Reflective Journal. London: Palgrave.
Bolton, G. (2018) Reflective practice: writing and professional development. 5th edition.
London: SAGE.
Bell, E., Bryman, A. & Harley, B. (2019) Business Research Methods. Oxford: Oxford
University Press.
Bradbury, H., Kilminster, S, Zukas, M. & Frost, N. (2010) Beyond Reflective Practice:
new approaches to professional lifelong learning. London: Routledge.
Collis, J. & Hussey, R. (2017) Business Research: a practical guide for undergraduate
and postgraduate students. 4th edition. London: Palgrave.
Denscombe, M. (2010) Ground rules for social research: guidelines for good practice.
2nd edition. Maidenhead: Open University Press.
Denscombe, M. (2017) The good research guide: for small-scale social research
projects. 6th edition. London: Open University Press.
Maylor, H. (2010) Project Management. Harlow: Financial Times Prentice Hall.
Maylor, H. (2017) Researching Business and Management. London: Palgrave.
Saunders, M, & Lewis, P. (2018) Doing research in business and management: an
essential guide to planning your project. 2nd edition. Harlow: Pearson.
Saunders, M.N.K., Lewis, P. & Thornhill, A. (2019) Research methods for Business
students. 8th edition. Harlow: Pearson.
Watson, G. & Reissner, S. (eds) (2014) Developing Skills for Business Leadership, 2nd
edition. London: Chartered Institute of Personnel and Development.
Williams, K., Woolliams, M. and Spiro, J. (2012) Reflective writing. Basingstoke,
Palgrave Macmillan.
In addition, it is expected that relevant journals will be consulted by students depending
upon the area of study and chosen topic.
Citing and Referencing:
Harvard Style
Contents
1.
What is re
