数据和技术在提升大数据分析能力中的作用

C. Chong, Siti Zaleha Abdul Rasid, Haliyana Binti Khalid
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摘要

工业革命4.0给企业带来了最大的冲击、挑战和机遇。为了有效地服务客户,保持市场竞争力,企业应采用云计算、大数据分析(BDA)和物联网(IoT)技术。由于全球化的模式产生了大量的全球商业数据,BDA已成为实践和学术领域中最重要的话题。然而,马来西亚对大数据分析能力(BDAC)的研究更是寥寥无几。因此,许多马来西亚公司不知道如何开始利用数据和技术来改善他们的业务。本研究以资源基础观(Resource-Based View, RBV)理论为基础,分析数据与技术在促进马来西亚企业间企业发展决策中的作用。在马来西亚,通过使用自我管理的调查来收集数据,进行了系统抽样的定量研究。调查结果表明,在数据和技术变量的八个维度中,受访者对数据变量表现出更大的赞赏,因为大多数受访者同意该维度的所有相关测量项目。本文讨论了研究对政策制定者和市场从业者的影响,最后,详细介绍了研究局限性的已知局限性,以及对未来研究的建议。
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The Role of Data and Technology in Promoting Big Data Analytics Capability
Industry Revolution 4.0 has brought the biggest impact, challenges and opportunities to firms. The firms are urged to adopt cloud computing, big data analytics (BDA) and the Internet of Things (IoT) to serve their customers effectively and remain competitive in the market. BDA has turned out to be the most significant topic in the practical and academic fields due to the mode of globalization give rise to a large quantity of data that is generated in the global business. However, the study of big data analytics capability (BDAC) in Malaysia is even so scarce. Therefore, many Malaysian firms do not know how to start leveraging data and technology to improve their business. This study thus analyzes the role of data and technology in promoting BDAC among Malaysian firms with the underpinning of Resource-Based View (RBV) theory. A quantitative study with systematic sampling was carried out by using a self-administered survey to collect the data in Malaysia. The findings indicated that amongst the eight dimensions of data and technology variables, the respondents showed a greater appreciation for the data variable, as the majority of the respondents agreed on all of the relevant measurement items for this dimension. The implications of the study to both policymakers and market practitioners have been discussed in this article, and lastly, the known limitations of the research limitations, as well as recommendations for future study have been detailed.
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