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Mediating effect of big data analytics on project performance of small and medium enterprises

机译:大数据分析对中小企业项目性能的调解效应

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Purpose This study aims to investigate the mediating role of "Big Data Analytics" played between "Project Performance" and nine factors including top management, project knowledge management focus on sustainability, green purchasing, environmental technologies, social responsibility, project operational capabilities, project complexity, collaboration and explorative learning, and project success. Design/methodology/approach A sample of 321 responses from 106 Indian manufacturing small and medium-scaled enterprises (SMEs) was collected. Data were analyzed using empirical analysis through structural equation modeling. Findings The result shows that project knowledge management, green purchasing and project operational capabilities require the mediating support of big data analytics. The adoption of big data analytics has a positive influence on project performance in the manufacturing sector. Practical implications This study is useful to SMEs managers, practitioners and government policymakers to develop an understanding of big data analytics, eliminate challenges in the adoption of big data, and formulate strategies to handle projects efficiently in SMEs in the context of Indian manufacturing. Originality/value For the first time, big data for manufacturing firms handing innovative projects was discussed in the Indian SME context.
机译:目的本研究旨在调查“大数据分析”在“项目绩效”和九个因素之间的中介作用,包括最高管理层、项目知识管理关注可持续性、绿色采购、环境技术、社会责任、项目运营能力、项目复杂性、协作和探索性学习,以及项目的成功。设计/方法/方法收集了来自106家印度制造业中小型企业(SME)的321份回复样本。数据通过结构方程模型进行实证分析。结果表明,项目知识管理、绿色采购和项目运营能力需要大数据分析的中介支持。大数据分析的采用对制造业的项目绩效有积极影响。实践意义本研究有助于中小企业管理者、从业者和政府决策者理解大数据分析,消除采用大数据的挑战,并制定策略,在印度制造业背景下有效地处理中小企业的项目。独创性/价值首次在印度中小企业背景下讨论了制造企业处理创新项目的大数据。

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