Articlediamond2022

THE IMPACT OF BIG DATA ANALYTICS ON SUPPLY CHAIN MANAGEMENT PRACTICES IN FAST MOVING CONSUMER GOODS INDUSTRY: EVIDENCE FROM DEVELOPING COUNTRIES

26 citations0/0 files storedInternational Journal of Business Reflections

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Big Data and Business Intelligence Supply Chain and Inventory Management Impact of AI and Big Data on Business and Society

Abstract

Leading trends over the last couple of years tend to be the increasing value of big data and analyzing the information through analytics. The information has tremendous value; fast moving consumer goods (FMCG) businesses must capitalize on the assortment of information by proper and in-depth evaluation with the usage of big data analytics (BDA). Objective: This article seeks to spotlight the changing dynamics of the SC managing atmosphere, to recognize the way the two leading trends will influence supply chain management (SCM) in future, to demonstrate the advantages which may be derived, and to generate suggestions to provide SC managers if BDA is adopted. Method: A survey was done amongst workers of multinational FMCG businesses across the world: the Americas, Asia etc. Systemic situation modeling is used in the quantitative evaluation to analyze the information gathered from surveys. The process of deriving value from the large quantities of information within the SCM is defined. Results: The adoption of BDA technologies can develop extensive value-added as well as a financial gain for companies and can quickly be a regular during the entire market. It is demonstrated, through examples, the way SCM location might be influenced by these brand-new developments and trends. Within the examples, BDA have been adopted, utilized, and applied effectively. Big data and analytics to draw out value coming from the information can create a big influence. Conclusion: It is clearly suggested chain administrators pay attention to these 2 trends, since better usage of BDA can ensure they hold abreast with innovations modifications, which could help improve company competitiveness. Keywords: Supply chain management; Big data analytics; FMCG; Developing countries

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2016Big data and predictive analytics for supply chain and organizational performance 2016Big Data and cloud computing: innovation opportunities and challenges 2017Big data analytics in supply chain management: A state-of-the-art literature review 2019Assessing the impact of big data on firm innovation performance: Big data is not always better data 2021Using big data for co-innovation processes: Mapping the field of data-driven innovation, proposing theoretical developments and providing a research agenda 2013Big Data: The Next Big Thing in Innovation 2018BIG data – BIG gains? Understanding the link between big data analytics and innovation 2018Data-driven innovation: switching the perspective on Big Data

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2024REVIEW OF BIG DATA IN FMCG SUPPLY CHAINS: U.S. COMPANY STRATEGIES AND APPLICATIONS FOR THE AFRICAN MARKET

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