Effects of “Big Data Insights” Upon Supply Chain Outcomes: A thorough Examination of Sector-Specific Contributing Factors
Abstract
The aim of the research was to conduct research on effects of “big data insights” upon supply chain outcomes to get a thorough examination of sector-specific contributing factors. This was done by using 3 objectives that became themes for data collection in the literature review section. Additionally, this study took into account the secondary technique by gathering data from Google Scholar, which provided useful peer-reviewed journal papers. These stated that applications of big data encompass information technology administration, manufacturing, sales, HRM operations, and business organisation across sectors like healthcare, tourism and retail. All of these industries require a great deal of information handling and handling at different levels in order for it to be categorised and processed for each individual within the business for efficient use. The phases of research, data collecting, documentation, insertion, preparing, data evaluation, publication and communication, keeping information, and data repurposing are all used to explain big data administration. Businesses determine target markets and make service and goods recommendations by using and analysing consumer behavioural data.
How to Cite This Article
Syeda Kawsar (2022). Effects of “Big Data Insights” Upon Supply Chain Outcomes: A thorough Examination of Sector-Specific Contributing Factors . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(4), 584-586. DOI: https://doi.org/10.54660/IJMRGE.2022.3.4.584-586
References
- 1. Maheshwari S, Gautam P, Jaggi CK. Roleof Big Data Analyticsinsupplychainmanagement: currenttrendsandfutureperspectives. International Journalof Production Research.2020 Jul;59(6\:
- 1875900. DOI:10.1080/00207543.2020.1793011.
- 2. Lee I, Mangalaraj G. Big Data Analyticsin Supply Chain Management: a Systematic Literature Reviewand Research Directions. Big Dataand Cognitive Computing.2022;6(1\:129. doi:10.3390/bdcc6010017.
- 3. Talwar S, Kaur P, Wamba SF, Dhir A. Big Datainoperationsandsupplychainmanagement: asystematicliteraturereviewandfutureresearchagenda. International Journalof Production Research.2021 Feb;59(11\:
- 126. DOI:10.1080/00207543.2020.1868599.
- 4. Hasan R, Kamal MM, Daowd A, Eldabi T, Koliousis I, Papadopoulos T. Criticalanalysisoftheimpactofbigdataanalyticsonsupplychainoperations. Production Planning&Control.2022 May;35(1\:
- 125. DOI:10.1080/09537287.2022.2047237.
- 5. Ranjan J, Foropon C. Big Data Analyticsin Buildingthe Competitive Intelligenceof Organizations. International Journalof Information Management.2021 Feb;56(1\:102231.
- 6. Healthcare. Journalof Big Data.2022 Jan;9(1\. DOI:10.1186/s40537-021-00553-4.