A Study of Big data Analytic techniques in Operations and Supply chain management

Domb, Abhimanyu Suryaji (2022) A Study of Big data Analytic techniques in Operations and Supply chain management. Masters thesis, Dublin, National College of Ireland.

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Abstract

Chapter 1: This chapter has discussed the research background, research aims, objectives, and the research questions about the impact of the “Big data analytic” process in the “Supply chain management”. This chapter has also explained the problem statement, significance of the research study and the research rationale about the research study.

Chapter 2: This chapter has discussed the literature review, theoretical interpretations, literature gap and conclusion. The literature review has discussed the role and benefits of the “big data analytics” process. This chapter has discussed the “Grounded theory”, “cost transactional theory” and “Agency theory” for the completion of the research topic.

Chapter 3: This study has discussed the method used in the research study to analysis the important factor of big data analysis in the modern business sector. The primary research method is used here to analysis the details factor. This research study is essential for the progression of business in an effective manner.

Chapter 4: This study has discussed the research findings to analyses the research study. In the chapter the researcher has discussed the demographic analysis and described the pie chart related to the various questions that has been provided to the respondents. From this chapter the researcher has got to know various opinion of the population about the impact of data analysing process on the “Supply chain management”. The answers from the participants are collected regarding the usefulness of the “data analytics” to the customers and the industry in improving the service.

Chapter 5: The findings section has discussed the concept of big data analytics and its importance in the organisation with positive measures. It also focuses on the tools and techniques for determining the future prediction and meeting the demand and “supply chain management system” with the changing trends in the product, desire, needs and design of the overall product.

Item Type:	Thesis (Masters)
Supervisors:	Name Email -, - UNSPECIFIED
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HM Sociology > Information Science H Social Sciences > HD Industries. Land use. Labor > Business Logistics > Supply Chain Management
Divisions:	School of Business > Master of Science in International Business
Depositing User:	Tamara Malone
Date Deposited:	20 Mar 2023 11:30
Last Modified:	20 Mar 2023 11:30
URI:	https://norma.ncirl.ie/id/eprint/6360

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