Description
The Relationship Between Data Analytics and Operational Efficiency in Supply Chain Management: A Mixed-Methods Study
Abstract
This study explores the critical relationship relating data analytics and supply chain management’s (SCM) operational efficiency. However, in a competitive international market, corporations are focusing on data analytics to enhance their supply chains. This means advancing policymaking procedures and lowering budgets. Moreover, by inspecting big datasets, businesses gain useful perceptions. For example, it includes enhancing logistics, demand estimates, inventory handling, and examining suppliers. Whereas their operating efficiency is considerably strengthened as an outcome. The key goals of this research are to inspect real-world claims of information analytics in dealing with supply chains. Besides, it focuses on the influences of operational efficiency, comprising lead periods, cost drops, and boosted services.
To give a thorough perspective, this study utilizes a combination of techniques. This particularly includes qualitative interviewing with quantitative assessment. However, the quantitative segment’s major intent is to evaluate poll responses from logistics administrators. In addition, the study targets to measure the incidence of SCM’s practice of analytical tools for data and its effects on operations. The associations between the usage of analytics and higher production are measured by employing statistical techniques. Moreover, the qualitative phase also encompasses performing in-depth interviews with business specialists. It acquires insights into data analytics, implementation challenges, and benefits of integrating into standard supply chain processes.
Furthermore, the targeted outcomes of the study should demonstrate that data analytics increases supply chain managers’ operational efficiency. By merging real data with specialist outlooks, the research intends to offer feasible suggestions for companies. Besides, it helps firms use data analytics to enhance their supply chain operations. Overall, enterprises could maintain their competitive edge in the market and improve performance. Finally, if businesses understand tactics, they could effectively use data analytics to enhance supply chain outcomes.
Read more about the topic
Data Analytics in Supply Chain Management: A State-of-the-Art Literature Review
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