Examining the effect of AI-BDA on manufacturing firm performance: An Indian approach

Vaibhav S. Narwane , Pragati Priyadarshinee
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引用次数: 0

Abstract

Manufacturing firms face an uncertain and continuosly changing environment because of innovations, technological changes, and globalization. To cope with this quick and uncertain environment, firms need to be flexible. Artificial Intelligence (AI) and Big Data Analytics (BDA) are must for manufacturing firms to achieve the flexibility in procurement to manufacturing to marketing. This study explores role of AI-BDA played between Supply Chain Flexibility (SCF) and Supply chain firms performance(SCFP) through six hypothesis. A sample data of 297 responses from forty Indian manufacturing firms were collected. Exploratory and confirmatory factorial analysis were used to analyse the collected data. Out of six hypothesis, four hypothesis are supported. The results show positive impact of AI, BDA and SCF on supply chain firm performance. Also AI positively impacts on BDA. However two hypothesis not supported are positive effect of AI and BDA on SCF needs further investigated. The study can guide decision makers to understand role of AI and BDA to improve supply chain performance.
研究人工智能-BDA 对制造业公司业绩的影响:印度的方法
由于创新、技术变革和全球化,制造企业面临着不确定且不断变化的环境。为了应对这种快速而不确定的环境,企业需要具有灵活性。人工智能(AI)和大数据分析(BDA)是制造企业实现从采购到制造再到营销的灵活性的必备条件。本研究通过六个假设探讨了人工智能-大数据分析在供应链灵活性(SCF)和供应链企业绩效(SCFP)之间的作用。研究收集了来自 40 家印度制造企业的 297 份样本数据。对收集到的数据进行了探索性和确认性因子分析。在六个假设中,四个假设得到了支持。结果显示,人工智能、BDA 和 SCF 对供应链企业绩效有积极影响。此外,人工智能对 BDA 也有积极影响。但有两个假设未得到支持,即人工智能和 BDA 对 SCF 的积极影响需要进一步研究。这项研究可以指导决策者了解人工智能和 BDA 在提高供应链绩效方面的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
19.20
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