Business solutions consultancy report

The consultancy report should be 10,000 words and international in its scope (each section could be ideally be 2,000 words).

Although consultancy projects aim to develop satisfactory business solutions, rather than academic evidence, this does not mean that a consultancy project is detached from academic methods. A consultancy project also requires a literature review combing academic literature and industry reports, a description of the empirical methods used, a data analysis, and a conclusion summarizing the findings and providing recommendations for the business. Therefore, it is shares similarities with an academic dissertation. For in further information, please have a look at the assessment criteria and the chapter descriptions of above.

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As an example of report structure for a strategic review, the final project report would include:

I.          Executive Summary / Project Overview (a 2,000-word, summary that can be sent to the client)

II.         Literature Review / Intelligence Gathered (combination of academic studies and industry reports)

III.        Methodology

IV.        Data  presentation, evidence , analysis  and  discussion (identify and discuss possible solutions

and their trade-offs)

V.         Conclusions and Recommendations (in depth discussion of the preferred solution)

Bibliography and Reference List

Appendices (Ethics requirements: the participant information sheet and ALL collected consent

forms; questionnaire or interview guide)

 

Assessment Details

 

In the module you will have the possibility of choosing between two types of dissertations:

 

· Classic academic dissertation based on a topic of clear international Business focus. If you select this route, you will have to conduct and develop research filling a research gap(s) in the relevant literature of International Business.

· Consultancy route: If you chose the consultancy pathway, you are supposed to work on an actual management problem, preferably in cooperation with an existing firm. You are expected to focus on an international business problem when designing your consultancy project. This can concern e.g. export plans, international marketing strategies, M&A, entering new markets, international staffing, international supply chain management, or international cooperation networks. This route places you in the role of a business consultant who is usually hired for going into an organization where he/she is expected to address some problems/challenges the business has identified. All projects will involve gathering and analyzing information related to the business problem.

·

 

Independently of the type of dissertation you choose to purse, you will have to develop a 10,000 words dissertation as final outcome of the module (summative assessment) which will count for 100% of the final mark. Before that, you will be asked to submit a 1,000 words formative assessment: the thesis structure. The requirements and marking criteria for the thesis structure and dissertations are slightly different between the two types of dissertations. All details are reported below.

 

 

 

 

Thesis Structure – Consultancy Route

 

If you have chosen to complete a consultancy report, you will need to write 1,000 words of an extended action plan/interim report. As each project is different, dealing with a problem or opportunity in a unique business setting, the exact contents of the interim report will vary. However, the report should include an overview of the company (profile), a clear definition of the problem, the amount of resources or access provided, time expectations (the length of the consultancy period), expected outcomes (or contingencies), key literature and techniques used in the problem resolution. If the project involves a strategic review, the interim report should also include an external environmental analysis.

 

This is a formative task, thus it is a pass/fail assessment. Please note that you if don’t submit or fail the thesis structure your grade of the dissertation will be reduced of 5 points.

 

In evaluating your work your tutor will consider the following points:

Introduction and research question: Laying out the appropriate context for the study. Identifying and justification of the explanatory variables and dependent variables. Identification of the problem, awareness of industry trends.

Literature Review / Intelligence gathered and explanation: This should include a critical first reading of industry reports and other written materials from the client organization.  An identification of key literature that links to the client organisation’s identified problem.    Empirical content: Justification of data type and approach to data collection. If primary data: Types of interviews to be conducted, sampling method and size, will pre-testing be done, identification of and solutions to potential problems; reasons for methodological choices made; accuracy, completeness, level of detail, and clarity of reported information. If secondary data: quality of data, reasons for choice, accuracy, completeness, and level of detail.

Methodology: Suitability for the task at hand; identification of technical, statistical and analytical tools and/or software that will be used; awareness of methodological issues and of limitations of study; awareness of research integrity, honesty and ethics issues.

Coherence and logic between sections of outline/action plan: Each part of the writing should be appropriately connected to yield a seamless product that is functional for finishing the final document. Appropriate writing standard: Correct use of grammar, spelling, and syntax Bibliography and Referencing: Correct use of Harvard referencing requirements.

 

 

Project

 

This 10,000-word project should have an International Business focus and have the following sections

· Header Sheet

· Title page

· Acknowledgements (optional)

· Abstract

· Table of contents

· List of tables (where relevant)

· List of figures (where relevant)

INDIVIDUAL CHAPTERS:

· Chapter 1 – Introduction, research questions and hypotheses

· Chapter 2 – Literature review

· Chapter 3 – Methodology

· Chapter 4 – Data presentation, evidence, analysis and discussion

· Chapter 5 – Summary and conclusions

This chapter structure is only indicative and may be modified according to the specific needs of the research; in other words, some consultancy reports may be constructed differently according to specific needs. If this is the case, the student must discuss their proposed changes with the Supervisor as soon as possible.)

· Bibliography and reference list

· Appendices (Ethics requirements: the participant information sheet and ALL collected consent forms; questionnaire or interview guide)

Title page

The title page should contain

· Your first and last names, with your student ID;

· The programme in which you are enrolled, and your starting date (“MA International Business, University of Greenwich, Business School, September 2016 starter”);

· The module title and code (“Project MA/MBA IB, BUSI1359”);

· The title of your project;

· The name of your supervisor.

Abstract

It should not exceed 250 words. It serves to highlight the main ideas, findings and implications of the research. It may be organised according to the following template:

· Purpose

· Research design/methodology

· Findings

· Limitations

· Recommendations

· Value

· Keywords.

See the following example:

Purpose – This study aims to examine the impact of selected corporate governance indicators on social and financial performance of Indian MFIs. Research design/methodology – The study uses quantitative research approach based on only secondary data from 15 Indian MFIs – sampled using purposive sampling technique – where multiple regression analysis is adopted as basic analytical framework.

Findings – The study finds that board independence (in terms of proportion of non-executive board members on board) is positively correlated with both the performance measures; board size is negatively correlated with the same; board diversity (in terms of proportion of women on board) is found to be positively correlated with financial performance but negatively with social performance. Lastly, the study also evaluates the impact of MFI size (measured in terms of total assets) on performance and finds a strong positive correlation.

Limitations – It would definitely have been advantageous to include more MFIs and more governance indicators in the study, to get a clearer picture of link between corporate governance and performance of MFIs. The limitations however do not compromise on the accuracy and validity of the findings.

Recommendations – In order to fully achieve the multi-perspective and sometimes conflicting objectives of „reaching the poor‟ and being „financial self-sustainable‟, good practice of corporate governance principles is recommended.

Value – Considering the scarcity of studies on link between governance and performance of microfinance sector, especially in India, this study has a value in figuring out the application of corporate governance in microfinance.

Keywords: Microfinance, corporate governance, social performance, financial performance, India.

This example is only indicative and you may choose a different format according to the specific needs of your research.

Individual chapters

In general, it is advisable to ensure that each chapter has a short and concise introduction and conclusion. The introduction sets the scene, and the conclusion sums up and announces what comes next.

Make sure your structure and presentation are up to standards. Divide each chapter into shorter, numbered subsections. Remember to also number and label any tables, equations, and figures. Cite the sources of your work (both literature and data) as appropriate.

To improve your written expression, you may find it useful to consult this website, which aims to help especially non-native speakers of English to improve their writing in academic contexts: http://www.phrasebank.manchester.ac.uk/

 

Chapter 1 – Introduction, research questions and hypotheses

It should be general in nature and present the background to the Project, the questions you aim to answer, and the plan.

It serves two main purposes:

· Contextualises the research within a larger disciplinary framework and signals how you intend your work to be considered.

· Identifies the main focus or research problem with which you are concerned about.

· Defines your research questions. Remember that research questions should be structured and framed in a way that allows a definite, clear and unambiguous answer. They should be sufficiently narrow and precise to be testable. Please note that the research should have a clear International Business focus.

· Identifying the explanatory variables and dependent variables of your research.

Chapter 2 – Literature review

As discussed above, the literature review is a description of what is already known on your topic, what policy or business implications have been derived out of this, what gaps in knowledge remain to be addressed, and what suggestions for future work emerge.

Make sure you give adequate consideration to the classics in your topic area, the landmarks, and the most recent developments.

Present the literature in critical perspective, either chronologically (tracing the development of the field over time) or comparing similarities and differences between authors and schools of thought.

 

Chapter 3 – Methodology

Be careful: this is not a broad overview of research methods in business and/or the social sciences. You need to describe and explain your own choice of research methods: tell the reader exactly what you did, and why; whether you were successful or not; what difficulties you encountered.

You should think of the methodology section as a set of instructions you are giving to readers so that they can replicate your work exactly as you did it. Think of it as a sort of “recipe” which needs to be very precise on the ingredients, the combination of them and the timing so that someone else can reproduce the result.

You can have a look at the methodology sections of scientific articles available from the Library portal “Electronic Journals”, to see how they have presented their methods and draw inspiration from them (without plagiarising, of module!).

Be as precise as you can, and rely on your records for any details.

If you did a primary data collection, your methodology section must tell the reader must explain:

· How you defined and selected your sample.

· How you identified and recruited relevant subjects.

· How you approached them.

· How many you approached, and how many actually responded.

· What are the sample characteristics (in terms of gender, age, geographic location etc.).

· Whether you used questionnaires or in-depth interviews or focus groups etc., and why.

· Whether you surveyed/interviewed your participants face-to-face, or by phone, mail, email etc

· When and where you distributed the survey (or did the interviews, focus groups etc.).

· Whether you obtained participants’ consent.

· Whether you experienced any difficulties (e.g. due to non-response) and what you did as a correction

If you used secondary data, you must tell your reader:

· What database(s) you selected (for example which one(s) of the above).

· How you accessed them (for example, if freely online or through ESDS registration, or through the University portal).

· What are the main characteristics of the database (you can refer here to the metadata provided by the authors of the study, as indicated above).

· Whether you extracted parts of the database, and which ones (for example, financial information on just one particular company instead of a whole group; or just one particular year instead of a time trend);

· Which variables you used, what they mean, and how they are measured.

· Whether you modified any of the variables and/or added new variables built from existing ones (for example, if you built indices or rates of growth based on a succession of quarterly GDP figures).

Remember to cite the data and the metadata, as indicated above.

 

Chapter 4 – Data presentation, evidence , analysis and discussion

While the form in which you present your findings will depend on your methodological choices, a generally accepted good practice for quantitative data is to present them in tables and figures. Comment them in an effort to guide the reader through the significant and important points – you may wish to point out trends in the table, for example. As you move across categories of the independent variable, what happens to the dependent variables? You may wish to highlight the more theoretically or empirically interesting findings in the table. You must make sure that the table, as a whole, warrants inclusion in your paper and that you make reference to it in your text.

Remember to appropriately number and label tables and figures. If you re-use tables and figures from external sources, remember to cite them.

 

Chapter 5 – Summary and conclusions

Give a brief explanation of why things appear as they are, state whether or not your initial hypotheses are confirmed or rejected, and provide possible reasons for that. Consider how aspects of the research process, the design of your investigation, the sample you constructed and the interview schedule you used, could be modified in order to generalize results to a broader variety of settings. Outline the implications of your research for public policy or company strategy, if any. Think about limitations of your work and directions for future improvements.

 

Bibliography

Your bibliography (list of references) should be:

1. according to author(s) surname

2. books, journal articles and web pages should be integrated in the same list

According to the Harvard referencing system, you should list items as follows:

Davidsson, P. , Demar, F. & Wiklund, J. (2002), “Entrepreneurship as Growth: Growth of Entrepreneurship”, in Hitt, M. Ireland, D., Camp, M. & Sexton, D. (eds) (2002), Strategic Entrepreneurship – Creating a New Mindset, Oxford: Blackwell – pp 328 – 338.

Barney, J. (1991), “Firm Resources and Sustained Competitive Advantage”, Journal of Management, (volume/number) 27(1): (pages) 99 – 120.

Snow, C.C. & Hrebiniak, L.G. (1980), “Strategy, Distinctive Competence, and Organisational Performance”, (volume) 25: (pages) 527-538.

 

 

Consultancy Report

 

The consultancy report should be 10,000 words and international in its scope (each section could be ideally be 2,000 words).

 

Although consultancy projects aim to develop satisfactory business solutions, rather than academic evidence, this does not mean that a consultancy project is detached from academic methods. A consultancy project also requires a literature review combing academic literature and industry reports, a description of the empirical methods used, a data analysis, and a conclusion summarizing the findings and providing recommendations for the business. Therefore, it is shares similarities with an academic dissertation. For in further information, please have a look at the assessment criteria and the chapter descriptions of above.

 

 

As an example of report structure for a strategic review, the final project report would include:

 

I. Executive Summary / Project Overview (a 2,000-word, summary that can be sent to the client)

II. Literature Review / Intelligence Gathered (combination of academic studies and industry reports)

III. Methodology

IV. Data presentation, evidence , analysis and discussion (identify and discuss possible solutions

and their trade-offs)

V. Conclusions and Recommendations (in depth discussion of the preferred solution)

 

Bibliography and Reference List

Appendices (Ethics requirements: the participant information sheet and ALL collected consent

forms; questionnaire or interview guide)

 

 

Please note that your consultancy report should have a clear International Business focus!

 

Assessment will take into account your use of appropriate methodologies including relevant tools, techniques, frameworks and concepts. Your written analysis and recommendation must be based on the data. It must flow logically from the information gathered and analysed.

 

In preparing your report, you should take a very practical approach. This means it should be carefully structured, easy to read with clear recommendations in the style that you might expect from a top consulting firm.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Assessment criteria for the final project

 

Marking Criteria Marks allocated to criteria:
Aims and objectives/Introduction

Proper identification of aims and objectives; Creativity, relevance, and originality in the topic choice and appropriateness of research; direction of research; concept clearly defined; is the topic choice international in scope?

15
Literature awareness

Presentation of the current debate in the literature on the topic under investigation; depth, breadth and criticality are the key factors; ability to synthesize arguments and create a narrative that helps to answer the research question from classics, landmarks, and most recent developments in the literature

20
Methodology

Meaningful discussion of relevant methods of data collection used in the study with an evaluation of their benefits and drawbacks.

Evaluate on sampling techniques, data collection, wording of questionnaire, and selection and justification of data sources. Critical self-reflection of overall study and methods. Have ethical considerations been taken?

15
Data Analysis

Capacity to use literature, theory and/or evidence to support argument.

Demonstrated the ability to use higher levels of analytical tools and, if applicable, software such as SPSS, Stata, and nVivo (and/or SNA software). Please note that simply copying/producing a graph without a proper interpretation and analysis is not enough. Cross tabulations are a minimum.

25
Conclusions and Findings

What is achieved, learnt, and internalized; ability to “tell the story” based on the analysis conducted? Is there a clear link from the literature review to the methodology and the analysis? (Here we are looking for overall consistency.) Does the student draw recommendations for policy makers or business (if applicable). Does it make a contribution to the knowledge and/or practice of International Business?

15
Academic standards

Quality of academic writing; Harvard referencing and bibliography; overall presentation; structure and logical flow of thoughts.

10
Ethics

 

Ethical Compliance

(See the section of Ethics in page 33 of the module guide). Failing to comply with the conditions of this policy is an academic offence and will be persecuted.

Yes/No

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Assessment criteria for the consultancy report

 

Marking Criteria Marks allocated to criteria:
Executive Summary / Aim and objective

Laying out the appropriate context for the study. Identifying and justification of the business problem and the aim of the study. Justification of study and profile of the company and industry (if appropriate). Is the topic choice international in scope?

15
Literature Awareness Intelligence Gathered

Has the report generated sufficiently converted knowledge about the problem into useable infrastructure to solving the client organizations problems? The intelligence should include benchmarking, review of key stakeholders (if appropriate), industry reports, annual reports as well as academic literature.

20
Data Analysis

Demonstrated the ability to use tools and, if applicable, software such as SPSS, Stata, and nVivo (and/or SNA software) to analyze and visualize the data. Discuss the relevance of your results, how it fits with other research in the area. Explain how the research findings are consistent or inconsistent with previous applied or theoretical research. Also discuss the implications of your finding for practising managers within the industry in which your project is based.

20
Methodology

Discussion of the suitability of the method used for the task at hand; awareness of methodological issues and of limitations of study; awareness of research integrity, honesty and ethics issues. Evaluate on sampling techniques, data collection, wording of questionnaire, and selection and justification of data sources.

15
Conclusions and Recommendations

Ability to draw recommendations for the client organization. Evidence that study has added value to the organization’s operations. What is achieved/learnt and internalized; ability to “tell the story” based on the analysis conducted.

20
Appropriate writing standard and Bibliography and Referencing

Correct use of grammar, spelling, and syntax; writing appropriate for a professional consultancy standard. Correct use of Harvard referencing requirements

10
Ethics

 

Ethical Compliance

(See the section of Ethics in page 33 of the module guide). Failing to comply with the conditions of this policy is an academic offence and will be persecuted.

Yes/No

 

 

 

THESIS STRUCTURE.docx

 

 

 

 

 

 

 

THESIS STRUCTURE

 

INTERNATIONAL BUSINESS PROJECT

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Evaluating the challenges, opportunities and future perspective of Big Data Analytics in Supply Chain management.

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Abstract

Supply Chain Management is a crucial driving factor behind any companies’ success. Especially during challenging times of a global pandemic, it is a necessity to make it more efficient. We have been trying to improve almost everything in all dimensions of management to make any business model, efficient, reliable and cost effective. The efforts for extreme digitalization have created a role for handling massive of data, which in turn has led to evolution of Big Data in 21st century, the usage of it in almost every single field is explicit, one might even say trending. This thesis follows the consultancy route with an intention to provide insights on applying and using Big data for Supply Chain Management, the challenges, opportunities and the future perspective of growth in the field for our prospective clients.

 

 

 

 

Preface

Will be mentioned in the main thesis.

 

Acknowledgement

Will be mentioned in the main thesis.

 

 

 

 

 

 

 

 

 

 

 

 

 

TABLE OF CONTENT

 

Header sheet

Title page

Abstract

Preface

Acknowledgement

Table of content

Lists of figure/tables

Chapter 1- Introduction, aim, objectives, research questions

Chapter 2- Literature review

Chapter 3- Methodology

Chapter 4- Data presentation, evidence, analysis and discussion

Chapter 5- Summary and conclusion

Bibliography

Apendix

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Chapter 1

Introduction

As a consultant it is extremely important to provide the clients with a proper solution to their problem using evident proofs and facts. This study will start with data of how emerging the collectiveness of big data and supply chain management is and what does statistics predicts for future, which areas are prone to it. This study comprises of insights from multiple research papers, case study and much more. The following is the example of variables used in the study: –

Independent variables: Supply chain management practices

Dependant variables: on-time delivery, forecast accuracy, days in inventory, total warehouse management costs, transportation costs and much more

Control variables: revenue, location and industry type.

 

Research Gap

The major research gap between Big data analytics and supply chain management is that there is always going to be a gap between what a person knows and what data knows. This is where the emerging of machine learning takes place that situationally we will always need more and more and more data to fill out the training module of any big data model. Hence the current study is trying to have a study with massive data and insights to fill out this gap literally and physically as well.

 

 

 

Aims and objectives

· To examine the latest trend of Big data on International Supply Chain Management and how it improves the process.

· To investigate and analyse the opportunities associated with Big data in Supply Chain Management.

· To investigate and analyse the challenges associated with Big data in Supply Chain Management.

· To explore the future options of Big Data in Supply Chain management (Ex: Industry 4.0 etc.

Research question

· What are the gaps emerging between the intersection of two domains: Big Data and Supply Chain Management?

· Where will different types of Big Data models be used in Supply Chain management?

· How will the Big data analytics affect Supply Chain Management?

· In which areas of Supply Chain Management is Big Data being applied?

· Why big data is so important and futuristic for efficient Supply Chain Management?

 

 

 

 

 

 

Chapter 2

Literature review

For Literature review analytics of past 10 years are provided answering all the research questions in depth.

Key searches were done using words like “Big Data” and “Supply Chain Management” combining with “descriptive analytics”, “predictive analytics” and “procurement”, “manufacturing”, “inventory management”, “logistics” and much more were done with a filter on literature after 2015 was done as such we need to focus on the progress and growth in the past 5 years as asked by the tutor.

Examples of some major literature that are going to be used in the main document are as follows:-

· Ghaleh khondabi, Iman, Ahmadi, Ehsan, & Maihami, Reza. (2020). An overview of big data analytics application in supply chain management published in 2010-2019. Production30, e20190140. Epub June 01, 2020.https://doi.org/10.1590/0103-6513.20190140

· Truong Nguyen, Li ZHOU, Virginia Spiegler, Petros Ieromonachou, Yong Lin (2018) Big data analytics in supply chain management: A state-of-the-art literature review, Volume 98 edn., Epub June 01: Computers & Operations Research.

· Anitha P, Malini M. Patil (2018) A Review on Data Analytics for Supply Chain Management: A Case study, : I.J. Information Engineering and Electronic Business.

 

 

 

 

 

 

 

 

High-quality articles using big data in supply chain management practices (Citation count is as of March 2020). (Ghaleh et al., 2020)

Author / Journal Contribution Study approach Case study (NA stands for Not Applicable) Future research topic(s) in the article
Hazen et al. (2014) /International Journal of Production Economics Studying the importance of data quality in supply chain management decisions Statistical process control / Field study Remanufacturing company for jet engines and related components for military aircraft -Developing new methods for controlling data
Chen et al. (2015) /Journal of Management Information Systems Studying the role of big data analytics in value creation and competitive advantage Technological, organizational, and environmental (TOE) framework Collected data from supply chain executives through a questionnaire -Examining the influence of firm-level employment of big data analytics on organizational performance
-Examining the intervening variables between organizational IT practices and performance outcomes
Tan et al. (2015) /International Journal of Production Economics Providing firms an analytic infrastructure to combine their competence sets Deduction graph technique SPEC company, a leading eyeglasses manufacturer in China -Testing the contributed approach on other supply chains to determine its general applicability
-Simplifying the contributed mathematical approach
Richey Junior et al. (2016) /International Journal of Physical Distribution & Logistics Management Developing a framework in which supply chain managers can use big data Native category approach Interviewing 27 supply chain experts in 6 countries -Developing unbiased managerial guidance for using big data analytics in supply chain management
Gunasekaran et al. (2017) /Journal of Business Research Studying the impact of big data and predictive analytics on supply chain performance Statistical analysis / Field study E-mail survey of a sample of companies in India -Investigating top managers’ commitment towards developing big data predictive analytics capabilities
Roßmann et al. (2018) /Technological Forecasting and Social Change Studying expert assessments of big data analytics applications in supply chain management Delphi survey / Fuzzy c-means clustering Interview with 73 experts -Interviewing other fields’ experts
-Studying the impact of potential technological applications on social dynamics in supply chain management
Choi (2018) /Transportation Research Part E  

Studying the impact of social media comments on quick response supply chains in fashion

 

Analytical mathematical modeling / Newsvendor model

 

 

NA

 

-Incorporate the correlation of consumer voices and a product’s demand

-Studying the impact of a government’s role in local sourcing and emissions taxes on a supplier-market relationship
Dubey et al. (2018b) /The International Journal of Logistics Management Studying big data predictive analytics’ impact on coordination and visibility in humanitarian supply chains Least squares regression / Hypothesis tests Survey responses from 205 International Non-Government Organizations -Considering country culture and/or supply base complexity in a predictive model
-Applying agent-based simulation methods
Irani et al. (2018) /Computers & Operations Research Studying organizational factors that impact the amount of waste in a food supply chain Fuzzy cognitive map / Simulation Data from surveying 34 stakeholders in food industry in Qatar -Use Delphi method to involve a wider set of participants
-Develop the same approach in countries besides Qatar
Jeble et al. (2018) /The International Journal of Logistics Management Studying the impact of big data and predictive analytics on sustainable business development Resource-based view logic / Contingency theory Survey data from 205 individuals in auto components industry -Studying the actual impact of big data and predictive analytics on a business firm rather than just the perception of the impact
-Explore data that can be more generalized
Lai et al. (2018) /The International Journal of Logistics Management Studying the factors that determine the adoption of big data analytics in supply chains Technology-organization-environment (TOE) framework Survey data from 210 Chinese IT managers and business analysts -Increase the environmental safety of big data
-Studying the other factors that may affect the adoption of big data analytics, such as supply chain scale and delivery complexity
Lau et al. (2018) /Production and Operations Management Using consumer social media comments for sales forecasting Parallel sentiment analysis / Machine learning Consumer comments datasets in English and Chinese -Combining parallel topic models with lifelong learning strategies
-Examining parallel ensemble models for better sales forecasting

 

 

Chapter 3

Methodology

To justify the research questions, the analytical approach used is as suggested by Mayring(2008).

To take an in depth collection of analytics and draw out conclusion a 4 phase iterative procedure can be used to cover Mayring(2008) way of analysis

PHASE 1: Rich material collection with analytics from at least 5 years drawn out from published literature.

PHASE 2: Providing general trends and describing theories in as observed from previous years analytics and predicting future growth trends.

PHASE 3: Construction of framework and application of theories and model to explain the concept better.

PHASE 4: Interpretation of the results and drawing out conclusion from the work in previous pahses.

 

 

 

 

 

Chapter 4

Data presentation and analysis

The data used in this study is both qualitative and quantitative collected using bibliometric analysis.

The table cited from Galeh et al. (2020) provide a vast background of literature to get necessary qualitative and quantitative data. But obvious the data is going to be secondary data but with the vision I have, it will display a broad spectrum of data with variation amongst year and fields.

 

 

 

 

 

 

 

Chapter 5

Summary and conclusion

The summary and conclusion will be done in the main document as such the research is only at phase one and only collection of literature has been done. But in my opinion this study should show a definite progressing future for using Big data for Supply Chain management and also a better understanding of it.

 

 

REFERENCES

 

· Ghaleh khondabi, Iman, Ahmadi, Ehsan, & Maihami, Reza. (2020). An overview of big data analytics application in supply chain management published in 2010-2019. Production30, e20190140. Epub June 01, 2020.https://doi.org/10.1590/0103-6513.20190140\

· Mayring, Philipp. (2000). Qualitative Content Analysis. Forum Qualitative Sozialforschung / Forum: Qualitative Social Research [On-line Journal], http://qualitative-research.net/fqs/fqs-e/2-00inhalt-e.htm.

 

 

 

APPENDIX

 

Will be mentioned in the main article

 

 

 

 

I WILL BE ADDING THE REMAINING INFORMATION IN THE MAIN DOCUMENT CONSIDERING THE LIMITED WORD COUNT.

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