A critical evaluation in analysing the influence of data analytics in enhancing supply chain management process through multiple regression analysis

Hari Govind Mishra (), Kumar Ratnesh (), Korakod Tongkachok (), Joel Alanya-Beltran () and Dhiraj Kapila ()
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Hari Govind Mishra: Shri Mata Vaishno Devi University
Kumar Ratnesh: Dewan Institute of Management Studies
Korakod Tongkachok: Thaksin University
Joel Alanya-Beltran: Universidad Tecnológica del Perú
Dhiraj Kapila: Lovely Professional University

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 6, No 5, 2080-2087

Abstract: Abstract This research analyses the influence of data analytics in enhancing the supply chain management process. From the global perspective, companies are focusing to remain competitive and foster growth by controlling the cost. In a typical supply chain management (SCM), the factors like capacity management, demand and expenses are regarded as recognized constraints. However, in the reality, there are uncertainties revolving around the overall consumer demand, risk involved in transportation, lead time differences and other aspects. The demand uncertainties tend to impact the SC performance in a wider span; hence companies tend to apply data analytics as a unique tool to forecast the demand, analyse the risk aspects and frame strategies to reduce the lead time. Hence, this study will enable in analysing the nature of impact which data analytics influences in supporting the SC process in the organisation. Major theme of the paper is intended to apprehend the critical influence of the big data analytics towards the supply chain management in selected companies in Europe, the researchers intends to measure the critical drivers of BDA in enhancing the SCM process and thereby support in realising the goals of the organisation. The researchers has collated data from 135 managers from the supply chain process in 15 different companies from Europe, the study tries to apply Multiple regression analysis through SPSS and Structural equation modelling through partial least squares modelling was used to test the hypothesis. The final results obtained states that the data analytics tend to possess positive influence on the supply chain management process, supports the management in reducing the enhancing supplier relationship and enable in creating better supplier network design. This paper intends to provide clear and concise aspect on the current overview of literature related to data analytics and its effect on supply chain management process. It also reveals the theoretical aspects of the research and provides outlines on future research directions. The study will be unique in stating the role of data analytics on SCM process by integrating the procedural and management perspectives.

Keywords: Data analytics; Supply chain management; Multiple regression analysis; Consumer demand forecasting; Network design; Suppler relationship; Enhanced visbility (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s13198-023-01947-8

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