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Task 1 of 1: Research Proposal

Task 1 of 1: Research Proposal

OTHM Level 7 Diploma In Logistics and Supply Chain Management

Unit Title: Business Research Methods

Unit Aims

The aim of this unit is to develop learners’ understanding of research principles including the formulation of research proposals, literature reviews, referencing, data collection using interviews and surveys, questionnaire design, statistical analysing using SPSS, qualitative data, and methods for drawing conclusions from the analysed data.

Learning Outcome – The learner will: Assessment Criterion – The learner can:
1. Be able to identify research problems and formulate research objectives.

 

1.1 Appraise research problems.
1.2 Develop appropriate research objectives and justify their choice.
2. Understand how to review the literature on a research topic.

 

2.1 Evaluate literature relevant to a research problem.
2.2 Critically analyse different theoretical approaches to a research problem.
3. Be able to design appropriate business research methodologies. 3.1 Critically evaluate appropriate research methodologies in terms of research objectives.
3.2 Design an appropriate methodology in terms of  research objectives.
3.3 Justify a selected methodology in terms of research objectives.
4. Be able to develop a research proposal. 4.1 Propose techniques for use with quantitative and qualitative data.
4.2 Create a research question, literature review and methodology.

 Task 1 of 1 – Research Proposal (AC1.1,1.2,2.1,2.2,3.1,3.2,3.3,4.1,4.2)

 Based on your academic studies on this programme, you are now required to develop a research proposal which will demonstrate understanding of research methods at an advanced level. Consult with your tutor/supervisor to determine a suitable area of research within the Logistics and Supply Chain Management discipline. Order Now from Course ResearchersPotential Areas of Logistics and Supply Chain Management

Logistics and Supply Chain Management (SCM) offer a wide range of research opportunities across various domains. Some suitable areas of research within this discipline provide important foundation for coming up with the research topic. The suitable areas can include:

Supply Chain Optimization: Focuses on improving efficiencies, reducing costs, and enhancing performance through better inventory management, demand forecasting, network design, and transportation optimization.

Sustainable Supply Chains: Investigates environmentally friendly practices, circular economy concepts, reducing carbon footprints, green logistics, and the integration of sustainability into supply chain strategies.

Risk Management in Supply Chains: Explores strategies to identify, assess, and mitigate risks such as disruptions, natural disasters, geopolitical issues, and supplier dependencies to ensure continuity and resilience.

Technology and Innovation in SCM: Examines the impact of emerging technologies like blockchain, IoT (Internet of Things), AI (Artificial Intelligence), machine learning, and automation on supply chain processes, efficiency, and transparency.

Global Supply Chain Management: Focuses on the challenges and opportunities of managing supply chains across borders, dealing with complexities related to trade regulations, cultural differences, and geopolitical factors.

Supplier Relationship Management (SRM): Explores strategies for developing and managing relationships with suppliers, including issues related to supplier selection, negotiation, collaboration, and performance evaluation.

E-commerce and Omni-channel Logistics: Investigates the impact of online retailing, last-mile delivery challenges, and the integration of brick-and-mortar stores with online platforms on supply chain design and operations.

Supply Chain Resilience: Examines the ability of supply chains to withstand and recover from disruptions, including the development of robust strategies, redundant systems, and agile response mechanisms.

Ethical and Social Responsibility in SCM: Explores ethical considerations in supply chains, such as labor conditions, fair trade, human rights, and corporate social responsibility (CSR).

Data Analytics and Predictive Modeling: Focuses on leveraging big data analytics, predictive modeling, and decision support systems for improving supply chain visibility, forecasting accuracy, and decision-making.

Healthcare Supply Chain Management: Investigates unique challenges and strategies related to the management of pharmaceuticals, medical devices, and other healthcare-related products within supply chains.

Reverse Logistics and Sustainability: Examines the processes and challenges associated with product returns, recycling, and the management of reverse flows in supply chains to reduce waste and enhance sustainability.

Instructions

In this task, you will need to produce a research project proposal in which you:

1. Introduction
a. Introduce the problem or opportunity with supporting data and trends.
b. Clearly explain the background to the problem or opportunity, and justify the reasons for, and the value of, the research to your employer and the wider academic community.
c. Outline the research project’s aims and objectives and state the research question.
d. State the limitations and scope of the proposed research.

2. Literature Review
a. Critically review key literature and recent academic publications around the subject area discussing key definitions, current theoretical frameworks, and research carried out in similar areas.
b. Develop a conceptual and theoretical framework for the research from the literature review explaining how and why it supports and informs your approach the research process.
Order Now from Course Researchers3. Research Methodology
a. Explain and justify your research approach and strategy.
b. Data collection:
a. Discuss data collection methods.
b. Select the instrument, design it and justify an appropriate method with an outline of a pre-test/pilot to be included as an appendix.
c. Clearly outline the administration of the data collection process.
a. Population and Sampling: Define the research population, sampling strategy and clarify access to respondent issues.
b. Data Analysis: Describe and justify how you propose to analyse and report the results and findings of your research with a discussion about reliability and validity and the management of error.

4. Statement of Ethics
a. Discuss access to respondent issues, permissions from organisation to conduct research, confidentiality, rights of withdrawal, consent, management of data security etc.

5. Timeline
a. Develop a plan using GANTT Chart from start to completion of the research.

Delivery:

  • 1 x Word Research Proposal

 Submission:

  • 1 x Word Research Proposal – 2500  words

Referencing:

  • Each section must reflect any supporting Harvard style citations.
  • A comprehensive Harvard style reference list must be included at the end of the work.
  • An extended bibliography  of  at  least  twenty  academic,  journal  and  relevant sector sources  to  be included at the end of the end of the work.

Evidence to be submitted:

  • 1x Word Research Proposal – 2500 words excluding TOC, diagrams, references and appendices)
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