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Big Data Analytics Adoption in Manufacturing Companies: The Contingent Role of Data-Driven Culture
Information Systems Frontiers ( IF 6.9 ) Pub Date : 2024-05-27 , DOI: 10.1007/s10796-024-10491-0
Priveena Thanabalan , Ali Vafaei-Zadeh , Haniruzila Hanifah , T. Ramayah

The objective of this paper is to investigate the factors that influence the adoption of Big Data Analytics (BDA) in manufacturing companies and examine the impact of BDA adoption on performance, while also considering the moderating effect of data-driven culture. An online questionnaire survey was conducted with medium and large manufacturing companies in Malaysia, resulting in a total of 267 responses collected through non-probability purposive sampling. The results show that technology complexity, perceived relative advantage, top management support, IT infrastructure and capabilities, normative pressure, and mimetic pressure are significant determinants of BDA adoption. Moreover, the adoption of BDA has a positive impact on financial and market performance, with data-driven culture moderating the relationship between BDA adoption and financial performance. This study highlights the critical factors that contribute to BDA adoption and its outcomes, providing manufacturing companies with awareness on this topic.



中文翻译:


制造公司采用大数据分析:数据驱动文化的偶然作用



本文的目的是调查影响制造企业采用大数据分析 (BDA) 的因素,并研究 BDA 采用对绩效的影响,同时考虑数据驱动文化的调节作用。对马来西亚大中型制造企业进行了在线问卷调查,通过非概率立意抽样共收集了 267 份回复。结果表明,技术复杂性、感知的相对优势、高层管理人员的支持、IT 基础设施和能力、规范压力和模仿压力是 BDA 采用的重要决定因素。此外,BDA 的采用对财务和市场绩效产生积极影响,数据驱动的文化调节了 BDA 的采用与财务绩效之间的关系。这项研究强调了促进 BDA 采用及其结果的关键因素,让制造公司提高了对此主题的认识。

更新日期:2024-05-27
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