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Open AccessArticle

The Impact of Big Data Analytics on Company Performance in Supply Chain Management

1
Faculty of Finance-Banking, Accounting and Business Administration, Titu Maiorescu University, 040051 Bucharest, Romania
2
Faculty of Economics and Business Administration, West University of Timisoara, 300223 Timisoara, Romania
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Faculty of Finance, Banking and Accountancy, Dimitrie Cantemir Christian University, 040051 Bucharest, Romania
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Faculty of Economic Sciences, 1 Decembrie 1918 University, 510009 Alba-Iulia, Romania
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Faculty of Sciences, University of Petrosani, 20 Universitatii, 332006 Petrosani, Romania
*
Author to whom correspondence should be addressed.
Sustainability 2019, 11(18), 4864; https://doi.org/10.3390/su11184864
Received: 8 August 2019 / Revised: 2 September 2019 / Accepted: 3 September 2019 / Published: 5 September 2019
Big data analytics can add value and provide a new perspective by improving predictive analysis and modeling practices. This research is centered on supply-chain management and how big data analytics can help Romanian supply-chain companies assess their experience, strategies, and professional capabilities in successfully implementing big data analytics, as well as assessing the tools needed to achieve these goals, including the results of implementation and performance achievement based on them. The research method used in the quantitative study was a sampling survey, using a questionnaire as a data collection tool. It included closed questions, measured with nominal and ordinal scales. A total of 205 managers provided complete and useful answers for this research. The collected data were analyzed with the Statistical Package for the Social Sciences (SPSS) package using frequency tables, contingency tables, and main component analysis. The major contributions of this research highlight the fact that companies are concerned with identifying new statistical methods, tools, and approaches, such as cloud computing and security technologies, that need to be rigorously explored. View Full-Text
Keywords: supply-chain management; implementation; big data analytics; industry 4.0; results; benefits; barriers; analytic tools supply-chain management; implementation; big data analytics; industry 4.0; results; benefits; barriers; analytic tools
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MDPI and ACS Style

Oncioiu, I.; Bunget, O.C.; Türkeș, M.C.; Căpușneanu, S.; Topor, D.I.; Tamaș, A.S.; Rakoș, I.-S.; Hint, M.Ș. The Impact of Big Data Analytics on Company Performance in Supply Chain Management. Sustainability 2019, 11, 4864. https://doi.org/10.3390/su11184864

AMA Style

Oncioiu I, Bunget OC, Türkeș MC, Căpușneanu S, Topor DI, Tamaș AS, Rakoș I-S, Hint MȘ. The Impact of Big Data Analytics on Company Performance in Supply Chain Management. Sustainability. 2019; 11(18):4864. https://doi.org/10.3390/su11184864

Chicago/Turabian Style

Oncioiu, Ionica; Bunget, Ovidiu C.; Türkeș, Mirela C.; Căpușneanu, Sorinel; Topor, Dan I.; Tamaș, Attila S.; Rakoș, Ileana-Sorina; Hint, Mihaela Ș. 2019. "The Impact of Big Data Analytics on Company Performance in Supply Chain Management" Sustainability 11, no. 18: 4864. https://doi.org/10.3390/su11184864

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