International Journal of Management and Commerce Innovations ISSN 2348-7585 (Online) Vol. 7, Issue 2, pp: (1048-1056), Month: October 2019 - March 2020, Available at: www.researchpublish.com
A study on the impact of Big Data on Company Performance in Supply Chain Management 1
Joel Johnson, 2Jojo Excy Christ (Deemed to be University)
Hulimavu, Bannerghatta Road, Bangalore-560076 India
Abstract: Big data research can contribute by developing graphical analysis and simulation methods to offer a new viewpoint. The emphasis of this study is on supply chain management and how Big Data Analytics allow suppliers to analyze their knowledge, approaches and skills in applying Big Data Analytics effectively and evaluate the tools required to achieve these targets, including their performance achievements and implementation results. A sample survey used as a data collection tool was a research method used in the quantitative study. It included closed, nominally and ordinally measured questions. A total of 205 administrators have responded to this research in clear and practical words. The data collected were evaluated using probability tables, contingency tables and principal variable analyses with (SSPSS). The major contributions of this research emphasize that companies need to rigorously explore new statistical methods, tools and approaches, like cloud computing and security technology. Keywords: operations supply chain management; deployment; big data analysis; industry 4.0; results; computational instruments.
1. INTRODUCTION On the basis of the continuing development of IT and industry 4.0, mass data became the main source of wealth for future enterprises. The big data boom is exponentially increasing and centers on many practices that aim to accelerate global technological and scientific progress. Globally speaking, companies are faced with many expansions and high quality standards and overcome and manage the abundance of resources from different clients and suppliers as efficiently as possible. Data management and integration are critical to address the challenges of linking supply chain management systems between producers and suppliers and their partners. Due to the ongoing development of IT and the industry 4.0, the most important source of information for future business wealth has become mass data. This Big Data explosion is exponentially on the increase, focusing on various activities that help to enhance global scientific and technological innovation. Many firms still fail to understand how analytical techniques can be used to achieve superior performance in the supply chain. Through this study, we consider that we contribute significantly to clarifying the aspects mentioned above. Next we described the challenges and difficulties faced by organizations in application of Big Data Analytics (BDA) in Supply Chain Management (SCM) followed by the implementation of BDA approaches in the SCM process. The two issues discussed are also connected with the presence of the specialists required for the production of knowledge via the BDA and the recognition of supply chain analysis tools and the potential plan of the organizations to implement new technology and resources. Furthermore, the report provides a detailed review of the advantages and results of organizations after the introduction of SCM BDA. Some challenges also existed.
2. LITERATURE REVIEW (Arunachalam, Kumar, & Kawalek, 2018) Big data was used by several companies to boost their performance by using the resources of big data analytics (BDA). However, previous BDA literature did not focus much on understanding the ability to extract value from big data. In this regard, the purpose of this article is to provide a systematic review of BDA's
Page | 1048 Research Publish Journals