Empirical Study of Using Big Data for Business Process Improvement at Private Manufacturing Firm in Cloud Computing

Ziqi Wang, Haihui Zhao
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引用次数: 8

Abstract

The implementations of new technologies have been broadly accepted by multiple industries in recent years, such as big data nad cloud computing. A quick and efficient data mining has become an alternative of creating values ever, the dynamic economic context and continuous changing business envoronment have driven numerous demands and applications in various industries. This phenomenon results in the problem of forming proper strategies in applying big data and cloud computing, which is one of the major challenges of reach the goal of value creations for current enterprises. This paper focuses on this problem and presents an empirical study on the issue of using big data for business process improvements in cloud computing. The investigation target is a Chinese large-size private enterprise that strives to be a global enterpriise in the manufacturing industry. The completed research is based on the real data collected from the collaboration partner. The main findings of this research include two parts:1) the efforts of using big data are varied, which are relatedto the operation levels,2) implementating cloud computing solutions is at an exploring stage for Chinese provate sector due to a few restrictions.
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云计算下民营制造企业大数据业务流程改进的实证研究
近年来,新技术的实施已经被多个行业广泛接受,例如大数据和云计算。快速高效的数据挖掘已经成为创造价值的一种替代方式,动态的经济环境和不断变化的商业环境推动了各行各业的大量需求和应用。这种现象导致了大数据和云计算应用策略的形成问题,这是当前企业实现价值创造目标的主要挑战之一。本文针对这一问题,对云计算中利用大数据改进业务流程的问题进行了实证研究。调查对象是一家致力于成为制造业全球企业的中国大型民营企业。完成的研究是基于从合作伙伴那里收集的真实数据。本研究的主要发现包括两部分:1)使用大数据的力度各不相同,这与运营水平有关;2)由于一些限制,中国私营部门实施云计算解决方案处于探索阶段。
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