An exploratory study to examine big data application on services and SCM

Shah, Satya ORCID: 0000-0001-5575-7682 and Theodosoulaki, Anastasia (2018) An exploratory study to examine big data application on services and SCM. In: 2018 IEEE International Conference on Technology Management, Operations and Decisions, 21st-23rd November, 2018, Marrakech, Morocco. (Submitted)

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Abstract

This research study aims to examine the importance of Big Data applications with a specific focus towards services and supply chain management, then just the standard dimension focus on marketing. Although big data is generally accepted as still being in its infancy, it has many applications. For instance, in Logistics, Healthcare, Banking & Finance and it has changed the way of traditional operation in these fields. The paper aims to use literature studies as a knowledge platform in investigating the use of Big Data and Big Data Analytics within services and supply chain environments. The value of this research study is to examine the concept of Big Data within the dimension of supply chain and service management. This study is at its preliminary stages of the research project, and the researcher aims to further investigate the use of big data adoption within service/supply chain manufacturing industry. The findings and early analysis of this research study can be referred by researchers when addressing the use of Big Data adoption within Supply Chain environments.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Paper given at and to be published in the proceedings of 2018 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD)
Uncontrolled Keywords: big data (BD), supply chain management (SCM), big data analytics (SCA), data analytics, and service management
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
Divisions: Institute of Management > Bolton Business School
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Depositing User: Tracey Gill
Date Deposited: 06 Dec 2018 11:36
Last Modified: 06 Dec 2018 11:51
URI: http://ubir.bolton.ac.uk/id/eprint/2051

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