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Research Proposal Structure

Title: xxxxxxxxxxxxxxxxxxxxxxxxxxxxx.
Table of contents
1.0 Acknowledgement
1.1 Abbreviations
1.2 Background of study
1.3 Introduction
1.4 Research Title
1.5 Research Problem
1.6 Research Question/s
(Ensure what you write in this section logically requires a question mark)
1.7 Research aim
(This is one over-arching statement to support your objectives). A general statement of what
the research sets out to achieve. THERE IS ONLY ONE
1.8 Research objectives
An objective is specific and sets out how the aim is going to be achieved
(Objectives should commence with a verb. Examples are to analyse, to establish, to review,
to examine. The final objective should be to recommend … For a Masters dissertation four
objectives in total is usually sufficient. Each objective should be numbered and be no longer
than one complete sentence. In the final chapter of your full dissertation you will be required
to state how the objectives of the study have been met)
1.09 Rationale for project justification/ Significance of the study
(A brief statement on the business/management reason for the study. Examples may be due
to a performance issue which could be people, process or resource based)
What is the benefit that will be derived from the study for practitioners?
A performance issue is a justification
A skills shortage is a justification
An unknown is a justification – why is a particular issue occurring?
1.10 Scope of the study
1.11 Limitations of the study
(Every piece of research is limited. You may state that the research is limited to one
department of an organization or one town within a country and therefore it is preliminary
analysis. Note: your personal time is not a research/statistical limitation)
2.0 Preliminary Literature review
(This section should identify academic theory related to the theme and disciplined area
identified above. A list of six sources, of which at least four should be journal articles is
required, together with a very brief precise of the paper. These should be in alphabetical
order by author’s surname)
3 Methodology
3.1: Research Design
Under research design you are expected to explain which type of research your proposed
study is going to fall under, it is exploratory, descriptive or casual
3.2: Data Collection Instruments
(Primary data or Secondary data)
3.3: Data Type
In proposal we need to clearly say whether we need qualitative data or quantitative
data or both and why we need them.
3.4: Data collection Procedure
3.4.1: Data Collection Methods
(The following are some of the methods of data collections; Survey; Interviewing;
Observation; Experiment; Focus group; or Other data collection instruments. However, the
most frequently used method is the questionnaire, you may also elect to conduct interviews,
this is primary data. You should state, briefly, what method you intend to use and why. It is
essential to define the terms used, based on academic sources. In certain situations the use
of secondary data is relevant to support a study, for example annual reports produced by a
company, the Office of National Statistics and other authentic sources.)
3.4.2: Sampling Population
6 Sample Sampling procedures
There are two types of sampling methods such as, Probability sampling method
(Researcher has to guarantee equal probability) and Probability and Non- Probability
sampling method.
3.5: Variables
A variable is an objective or characteristic which has two types such as independent and
3.6 Preliminary Hypothesis (null and alternative)
(This is a statement to predict a potential relationship between two factors and is required
where the proposal is to utilise quantitative methods. Note – be realistic in the number of
hypotheses you can manage within the scope of a dissertation. Qualitative research
proposals do not require a hypothesis)
3.6 Originality
3.7 Plan data analysis
(State and explain the analytical techniques that will be utilised in the study in order to
interpret the empirical data)
(For quantity data what kind of statistics software and analytical procedures will be used, for
qualitative data what type of coding is required and how well the data will be intermitted.
In the plan data analysis section, we need to clearly describe what we are going to do in
order to analyse the date and we need to convince the reader, that we are capable of
handling the data properly).

Independent VariableDependent Variable

3.8 Suitability, Validity & Reliability
3.9 Research ethics (Code of ethics)
Research ethics are significant area of a proposal.
3.10 Direction for Further Research
(Consider what additional research could be undertaken in order to advance your findings –
it is helpful to refer to your original objectives and limitations as sources for this section)
3.10: Budget
(Not necessary, since it is your own research)
4.0 Action plan

4th week1st week2nd week3rd week4th week1st week2nd week3rd week4th week1st week2nd week3rd week4th week1st week2nd week
Preparation of reading materials
Identification of research area
Submit of project proposal
Prepare introduction and objectives send to
Search literature review
Write up literature review and send to
supervisor each three weeks
Getting feedback from supervisor
Prepare methodology chapter and seek
advice to supervisor
Prepare primary & secondary data
questions based on literature review and
send to supervisor
Begin gathering primary and secondary
Write up findings from primary data
collection and send to supervisor
Analyze and discuss findings from primary
data collection and send to supervisor
Carryout personal interviews
Prepare conclusions chapter which
discusses findings and links to literature
review and send to supervisor
Discuss limitations of the project and


include in conclusions chapter
Prepare reference list
Prepare personal reflective statement
Prepare executive summary
Prepare appendix contents page
Proof read work & contents page

4.1 Conclusion
4.2 Reference List
▪ Bindsardi A and Green J (2012) Research Methods for Management Pedagogic Teaching
series, Volume 2 Northwest Academic Publications London
▪ Ranasinghe, S and Fonseka,M (2012) . Data Analysis and Reporting. In: Research in
management. Colombo: The Postgraduate Institute of Management. pp.110-160.
▪ Sekaran,U and Bougie,R (2012). Research Methods for Business. 5th ed. Delhi: John
Wiley & Sons, Ltd. pp.284-316.
▪ Zikmund, W G,Babin, B J,Carr,J C,Adhikari,A and Griffin,M (2013). Business Research
Methods. 8th ed. Delhi: Cengage Learning India Pvt Ltd. pp.118-125 and pp.576-580.

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