Category | Assignment | Subject | Business |
---|---|---|---|
University | Brimingham City University | Module Title | RES7018 Quantitative Business Research |
Word Count | 2000 Word |
---|---|
Assessment Type | Report |
Assessment Title | Coursework |
Academic Year | 2024-25 |
Learning outcomes and assessment criteria specific to this assignment:
On completion of this assignment, students should be able to demonstrate their ability to:
In a Quantitative Business Research Master's module, you would develop a wide range of transferable skills that can be applied to various industries and roles. These skills are not just useful for academic success but are highly valued by employers. Here are some key transferable skills:
1. Data Analysis & Interpretation
2. Research Methodology
3. Critical Thinking & Problem Solving
4. Communication Skills
5. Time Management & Project Management
6. Attention to Detail
7. Teamwork & Collaboration
8. Ethical and Legal Awareness
9. Adaptability & Flexibility
Developing these skills will make you well-rounded and highly attractive to employers, whether you go into finance, consulting, marketing, or data analysis roles.
At the time of publication, the rules regarding late submission of work are:
If a student has a support statement specifying additional time to complete coursework, the penalties will only apply from the alternative deadline provided by the statement.
You must complete your assessment; otherwise, it is classed as a failed attempt (unless you have made a successful EC claim relating to Extenuating Circumstances).
If you fail any of your modules you will have to re-take it, although there are limits on the number of times that you can re-take and you may even have to re-study a module you have failed. Having to re-sit or re-study modules means that your workload will be increased and you will be putting yourself under more pressure. You may even be liable to incur more fees if you are required to re-study a module.
The university does appreciate that there are times when you may be unable to take an assessment due to circumstances outside your control, such as illness. If this is the case, you need to make a formal claim for an extension or deferral, as without this, you are expected to submit within the standard guidelines.
No tutor, module leader or course leader can grant any form of extension to the published deadlines - this is done by a separate team within the university to ensure consistency and fairness for all. For full guidance on what constitutes an exceptional circumstance and how to make a claim, please visit the Extenuating Circumstances page on iCity; you can also contact the Student Support Team for help.
The assessment consists of 100% Coursework. There are two coursework items in this assessment. Coursework 1 is an analysis report with 50% weighting. and has a word limit of 2000 words. Coursework 2 is an in-class presentation, with 50% weighting. and has a slide limit of 15 slides.
To pass this module, you must achieve a final overall mark of at least 50%. If your mark is less than 50%, you will be required to retake the assessment.
The deadline for submissions is: As stated on page one of this document
Work must be submitted online via the link provided in the Assessment area of the module’s Moodle site. Please follow the University policy regarding online submission and submitting assessed material on time.
Please retain a copy of your original assessment material for your records.
The maximum word count for your assignment is: Coursework 2- 15 Slides (10% +/-).
Coursework 1- 2000 words (10% +/-).
The presentation (50%) and the Report (50%, 2000 words) comprise two distinct components of the assessment, both of which must be completed. Failure to submit any part of the assignment will result in a reduction in the maximum marks that can be awarded. Ensure that your work is thoroughly checked before submission for appropriate grammar and correct English spelling, as clarity and accuracy in written communication are essential for achieving high standards in both components.
You must prepare and submit your assignment in PowerPoint (Coursework 2) and Word format (Coursework 1). Only Microsoft PowerPoint and Word files will be allowed for submission.
Your student ID number should be shown on each page of your assignment.
Material should be written in formal business English and structured clearly to ensure that ideas are expressed effectively.
Slides should be clear and readable.
ALL facts, concepts and quotations should be referenced as appropriate using the Harvard referencing system.
Support is available at any time throughout this module; simply contact your tutor if you need help. Feedforward sessions will be scheduled to help you plan your work to provide further guidance.
Specific feedback on individual assessments will only be available via scheduled, face-to-face meetings, not via email. To make the most of these sessions, it is expected that you will have already begun work on your assessment and have a list of questions for your tutor prepared in advance.
Detailed feedback will not be possible via email, and lecturers can only comment in detail on one draft. Comments on multiple drafts are not possible, as there is a danger that your work will become your lecturer’s work. However, if you have any specific queries, or need additional support, you can still book a tutorial at any time up to one week before the deadline – tutorials and draft reviews will not be provided in the final week before the deadline, so you must start work on your draft early and book a meeting as soon as possible.
Please note that tutors are unable to indicate a provisional grade for your work at any point before the official release date. As such, please do not ask tutors what grade your work is likely to achieve before final submission.
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Order Non-Plagiarized AssignmentAny work you submit must be your original work. Any work that is plagiarised - this means submitting any item of assessment which contains work produced by someone else in a way that makes it look as though it is your work – will be subject to an academic misconduct review. This includes 'self-plagiarism' - you are not allowed to re-use work or significant sections from work, which you have already submitted for an assessment.
You are also not allowed to collude with others to produce work unless your assessment brief specifically outlines group work. Collusion means working with at least one other person to produce a piece of work that you then pass off as your own. You can discuss ideas for the work with other students, but you must not work with them to produce a piece of work together, you must not copy or share another student's work, and you must not lend your work (including drafts) to another student to allow them to copy your work.
If your piece of work is very similar to that of another student, you are likely to be accused of collusion. If you are found to have made your work available for another student to copy all or part of it, you may be referred for disciplinary action even after you have completed your award and are no longer a student of the University. You must not also falsify information, resources or data in any way.
These, and any other types of academic misconduct that are likely to give you an unfair advantage in an assessment, will be referred for investigation. Academic misconduct threatens the standards of awards we make, so we take this matter extremely seriously indeed and any student found guilty of this will have penalties applied and in the most serious of cases, students with be withdrawn from the course.
Quantitative Business Research plays a crucial role in providing data-driven insights to support decision-making in business. The primary purpose is to use numerical data and statistical analysis to:
1. Identify Trends and Patterns: Quantitative research helps in understanding trends, relationships, and patterns within large datasets, which can inform business strategy, marketing, and operations.
2. Make Evidence-Based Decisions: By using objective data, businesses can make decisions grounded in facts rather than intuition, reducing risks and increasing the likelihood of success.
3. Measure Business Performance: It allows companies to assess various performance indicators, such as sales growth, customer satisfaction, and operational efficiency, helping them improve processes and outcomes.
4. Forecast Future Outcomes: Statistical techniques, like regression analysis and forecasting models, are used to predict future trends, market conditions, and customer behaviour.
5. Validate Hypotheses: Quantitative research is often used to test specific hypotheses about business scenarios or phenomena (e.g., does a price reduction increase sales?).
6. Support Strategic Planning: Business leaders rely on quantitative research findings to shape long-term strategies, allocate resources, and guide organisational change.
1. Choose a Topic or Context
Select a research topic related to Circular Economy; Digital Transformation; Industry 5.0; ESG; Triple Bottom Line; the topics may be in any context such as marketing, finance, operations, human resources, information management, within business and management. Your topic should be specific enough to focus your problem context while providing sufficient scope for a quantitative analysis.
Example: Statistical analysis of FMCG retail and eCommerce technological developments in Last Decade; Financial Sector Growth and Development in the last Decade; etc.
Creating a 2000-word report involves a systematic approach to understanding the key components involved. Below is a guide to help you structure the report effectively:
1. Introduction (Approx. 200-300 words)
Overview of Quantitative Business Research: Define quantitative research in the context of business. Explain its significance in decision-making and problem-solving. Mention that the report will focus on a profile assessment, which typically refers to understanding the demographic, behavioural, or performance characteristics of a specific group or segment within the business environment.
Purpose of Profile Assessment in Quantitative Research: State the purpose of conducting a profile assessment, which could include identifying key characteristics of consumers, understanding trends, segmenting markets, etc.
Outline the Structure of the Report: Briefly introduce what each section of the report will cover.
2. Literature Review (Approx. 400-500 words)
Review Key Concepts of Quantitative Research: Explain the methods and tools used in quantitative research, such as surveys, statistical analysis, and data modelling. Discuss how analyses are applied in business contexts, using examples like customer segmentation, employee performance reviews, or product market analysis.
Previous Studies on Quantitative Analysis: Provide insights from existing literature or case studies where quantitative research has been conducted in businesses. Discuss the methodologies used and the outcomes of these studies.
Theoretical Framework: Discuss relevant theories or models used in quantitative business research that could guide the quantitative research methods, such as regression analysis, cluster analysis, or factor analysis.
3. Methodology (Approx. 300-400 words)
Research Design: Outline the design of your study, explaining whether you’re conducting a primary or secondary research project. Will you be using surveys, data mining, or another approach?
Sampling Techniques: Detail the sample size, selection criteria, and demographic characteristics of the population being studied. If it's a customer profile, specify age, location, behaviour, etc.
Data Collection Methods: Describe how data will be gathered, whether via surveys, interviews, public records, or other means. Discuss the types of data (e.g., numerical, categorical) and measurement techniques.
Data Analysis Methods: Discuss the statistical tools and software used for data analysis, such as SPSS, R, or Excel. Explain the type of analysis you plan to use (e.g., descriptive statistics, hypothesis testing, correlation analysis).
4. Data Analysis and Findings (Approx. 500-600 words)
Presentation of Data: Present your data using tables, graphs, or charts where appropriate. Provide clear visuals that help explain the profile you are assessing.
Analysis of Key Metrics: Provide insights based on your analysis. Discuss significant trends, patterns, or correlations observed in the data.
Interpretation of Findings: Explain the findings in a business context. What do the results suggest about the profile being assessed? How does it inform business decision-making or strategic planning?
5. Discussion (Approx. 300-400 words)
Interpretation of Results in Context: Compare your findings with those from the literature review. Do your results align with or differ from previous studies or theoretical expectations?
Implications for Business: Discuss the implications of your findings for business strategies or operations. For example, if assessing customer profiles, how can businesses tailor marketing strategies based on these profiles?
Limitations of the Study: Mention any limitations in your research process, such as sample size, response bias, or data quality.
6. Conclusion (Approx. 100-150 words)
Summarise the Key Findings: Briefly restate the most important findings of the profile assessment.
Recommendations: Offer actionable recommendations for businesses based on your analysis. For example, recommend targeting certain customer segments, improving product offerings, or implementing specific policies.
Suggestions for Future Research: Suggest areas for further study or improvements in the methodology for better insights.
7. References: List all the sources you’ve cited throughout your report using the Harvard citation style. Ensure that you include books, journal articles, reports, or any online resources you referenced.
Writing Tips:
Clarity and Structure: Use clear, concise language, and break the content into sections with headings for easy navigation.
Data Presentation: Use visuals like charts, tables, and graphs to present data and analysis clearly. Ensure each visual is labelled and explained.
Logical Flow: Ensure the report flows logically from section to section. Each part should build upon the last, and your findings should relate to the research objectives you introduced earlier.
Critical Thinking: In your discussion and analysis, critically assess the data and consider how it might affect business decisions or strategies.
This assessment guide is designed for a 15-slide presentation on quantitative business research. The presentation should demonstrate a clear understanding of the research process, its application in a business context, and how to use quantitative methods to answer business-related questions. The assessment is based on several key criteria that address content, structure, data analysis, and communication skills.
Criteria for Evaluation
1. Clear Introduction to the Research Problem (Slides 1-2)
Key Points to Include:
2. Quantitative Research Design (Slides 3-4)
Key Points to Include:
3. Data Collection Methods (Slides 5-6)
Key Points to Include:
4. Application of Statistical Techniques (Slides 7-9)
Key Points to Include:
5. Data Analysis and Results (Slides 10-11)
Key Points to Include:
6. Conclusion and Recommendations (Slides 12-13)
Key Points to Include:
7. Visual Presentation and Structure (Slides 14-15)
Key Points to Include:
8. Delivery and Communication Skills
Key Points to Include:
Marking Criteria for Coursework 1: Business Research Report (50%)
Major Focus on Learning outcomes: LO3 and LO4 but also implicit to reflect on LO1 and LO2
LO |
Criteria |
Fail (0%-49%) |
Pass (50%-59%) |
Merit (60%-69%) |
Distinction (70%-100%) |
LO1 |
Quantitative Design & Data Collection Methods |
Fails to identify appropriate design, no assessment of data collection methods |
Identifies a basic design, limited assessment of data collection methods |
Clear, appropriate design with balanced assessment of methods |
Advanced, well-justified design with thorough, critical assessment of data collection methods |
LO2 |
Application of Statistical Techniques & Data Sources |
Incorrect or inadequate statistical techniques, poorly selected data sources |
Basic statistical techniques, relevant but poorly explained data sources |
Effective statistical techniques with clear data source identification |
Expert application of statistical techniques, rigorous evaluation of data sources |
LO3 |
Data Gathering & Analysis |
Insufficient data gathering or analysis, no original insights |
Basic data analysis, some independent research and insights |
Clear, insightful data analysis, demonstrates original thinking |
Deep, meaningful data analysis with valuable, original contributions |
LO4 |
Use of Data Management Software |
Incorrect or no use of data management software |
Basic use of software with surface-level data analysis |
Effective use of software, some critical interrogation of data |
Expert use of software, critical and in-depth interrogation of data |
Marking Criteria for Coursework 2: In the Class Presentation and Slides (50%)
Major Focus on Learning outcomes: LO1 and LO2, but also to reflect on LO3 and LO4
LO |
Criteria |
Fail (0%-49%) |
Pass (50%-59%) |
Merit (60%-69%) |
Distinction (70%-100%) |
LO1 |
Introduction to the Research Problem |
Unclear or poorly defined research problem. |
Basic research problem, some background information. |
Clear research problem and well-developed background. |
Concise, compelling problem with thorough background. |
LO1 |
Research Design |
No or inappropriate design, lacks justification. |
Basic design with limited justification. |
Clear, justified design with explained hypotheses. |
Well-justified advanced design, well-aligned with the problem. |
LO2 |
Data Collection Methods |
No or inappropriate methods. |
Basic methods discussed with limited relevance. |
Clear and justified methods, relevant to the research. |
Detailed, justified methods, clearly aligned with the design. |
LO2 |
Application of Statistical Techniques |
No or incorrect statistical techniques. |
Basic techniques, unclear or insufficient application. |
Appropriate techniques, with some application examples. |
Advanced, accurate techniques applied with clear examples. |
LO3 |
Data Analysis and Results |
No analysis or incorrect interpretation. |
Basic analysis, lacks depth. |
Clear, insightful analysis and results. |
Detailed, insightful analysis with critical interpretation. |
LO4 |
Conclusion and Recommendations |
No clear conclusions or recommendations. |
Basic conclusions with limited recommendations. |
Clear, relevant conclusions and recommendations. |
Insightful conclusions and actionable, well-supported recommendations. |
LO3 |
Visual Presentation and Structure |
Poorly structured, cluttered, difficult to follow. |
Reasonably structured, but text-heavy or lacks visuals. |
Well-structured, clear with appropriate visuals. |
Excellent structure, engaging visuals, and clarity. |
LO3 |
Delivery and Communication |
Poor delivery, hard to understand, lacks engagement. |
Understandable but not engaging, reliance on notes. |
Clear delivery, moderate engagement. |
Confident, engaging delivery with minimal notes. |
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