How the Government can make use of economic instruments to manage the situation of inter-migration in China?

Order Description

WORDCOUNT

The range permitted is 5000 words + or – 10%. This excludes contents page, references and copy
enclosed in boxes.

Students are required to submit the summary front page of their Turnitin report along with their final submission.

TITLE PAGE

This should contain the title of your IRS and you may wish to embellish this with a design appropriate to your piece of work.

EXECUTIVE SUMMARY

A summary, covering half to three quarters of an A4 page and including the purpose of the study, the scope of the work, and content of the IRS, method of investigation, the main findings and conclusions reached. The Executive Summary should be written in the past tense and in the 3rd person passive.

TABLE OF CONTENTS

This should be a tabulated list showing each section of the IRS and the page number on which it begins. Because the sections are numbered, then a numbered entry for each sub-section should appear in the contents list. Word can be used to do this automatically and it is recommended that you use this. It will also allow you to compile a table of contents automatically.

LIST OF TABLES AND FIGURES

This should contain the number of each Table / Figure, its title and the page number on which it appears in the text. Number sequences should be separate for Tables & Figures.

INTRODUCTION

This should be written from the perspective of an employee working within the organisation whose task is to research possible solutions to a problem that the organisation is currently facing. The business rationale for finding this solution needs to be explained along with a broad theoretical umbrella under which the scope of the research will take place. This should then be linked to the research questions which should clearly identify the appropriate sources from which data is to be gathered, and then the process of data analysis is to be explained. This section is no longer to include a theoretical Research Design section as previously required in an IRS, and it is anticipated that it will be written retrospectively after the research has been carried out, thus explaining how the research was carried out. There will be a maximum of 5% of content permitted from the BRM proposal, and thus it is advised that this section neither resembles the structure nor content of the S6 work and should be written with minimal referencing to academic sources, although theoretical models may be appropriate to be presented and explained.

DATA PRESENTATION AND ANALYSIS

The data to be presented should be introduced, presented, described, analysed and then most critically the findings from the process need to be clearly identified for the use in the conclusion and managerial implications section.

It is important that data needs to be consistently presented and from the identical time frame (as far as possible). Sources need to be referenced appropriately and if data has been collated from a number of sources then all sources need to be stated as a part of the whole reference. If a table of figures for example has been reduced from its original source then please use the phrase ‘Adapted from’ and then the original source.

When analysing quantitative data, it is essential that ‘raw’ data is translated into data for your specific study and in order for quantitative data analysis tools may be used to carry out a minimum of time series analysis, trend analysis, regression analysis or the plotting of averages and percentages.

When analysing qualitative data, it must be exposed to a minimum analysis of tabulation in order to identify similarities and/or differences, key themes and allow for comparison between cases. It is not sufficient to simply describe the differences as you see them, moreover it needs to be clearly visible to the reader by extracting it from the text.

For both quantitative and qualitative data analysed, it is critically to clearly state the key findings that this has allowed you as the researcher to extract. It is advised that these are clearly stated at the end of each section of your data presentation.

CONCLUSIONS AND MANAGERIAL APPLICATIONS

The conclusions that you have drawn from the analysis of the data collected should be discussed in relation to your business question. It should also be discussed in relation to the previous academic research into your subject area, including the models that you may have introduced in the introduction to your IRS. It may also be corroborated by research that has been carried out in the sphere of business, most probably by Consultancy or Business Analysis Organisations, and should include reference to the corporate views of senior personnel in the your organization and probably competitors in domain in which your research has been undertaken. This section is the key section where you demonstrate your analytical skills and critical thinking and should be based only on the findings and results from your study. From this position you then need to extrapolate the implications of the findings of your research and its managerial applications for your business. You need to ask yourself ‘SO WHAT?’ and in answering that, you can then make your own recommendations as to how your organization may answer the business problem identified.

REFERENCES

The in text referencing and production of a reference list needs to be in accordance with APA referencing requirements.

APPENDICES

The criteria for placing or not placing an item in an appendix are:
a) If the information is essential for the readers to understand the points you want to make, then this information needs to be presented in the main body of the text.
b) If it requires for the readers to constantly refer to the information in order to understand the text, then, this information needs to be included in the main body of the text.
c) A file containing your raw data, including excel files and scanned copies of the front pages of formal documents (such as industry reports) needs to be uploaded in the file upload next to the Turnitin assignment on Moodle.