期刊
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
卷 34, 期 1, 页码 168-198出版社
EMERALD GROUP PUBLISHING LTD
DOI: 10.1108/JEIM-12-2019-0394
关键词
Big data analytics; SMEs; Indian manufacturing sector; Project performance; Sustainability; Structural equation modelling
This study reveals that project knowledge management, green purchasing, and project operational capabilities require the support of big data analytics, which has a positive impact on project performance in the manufacturing sector.
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.
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