Abstract
Along with the rapid development of information technologies, such as cloud computing, mobile internet and internet of things, and the promotion of IT application, all kinds of data are generated and accumulated rapidly in various ways, big data era is coming, in which enterprises are faced with both opportunities and unprecedented challenges. Various processes, from decision making to operation and from designing to marketing, are being influenced by big data in manufacturing industry. This paper, according to the nature and features of big data, analyzes and extends a classical model of organizational change, Leavitt’s model of organizational change, in order to explore the ways for enterprises to cope with challenges and seize chances of development in big data era. Then, using the extended Leavitt’s model, opportunities and challenges derive from big data are combed, and approaches to making use of big data and coping with big data are generalized from five perspectives, including task, structure, people, technology and environment.
Highlights
“Big data”, emerged at 2008, has profound influence on various fields such as commerce, consumers and society [1], even deeply changes them all [2]
Li Keqiang, the Chinese Premier, attended the China's big data industry summit and the development of Chinese e-commerce innovation summit, emphasizing that we should combine the technological innovation of big data and the craftsman spirit of traditional industries to rebuild the industry chain, supply chain and value chain, and indicating that the government will play a role in the process of promoting information sharing, strengthening information security and so on, in May 5, 2016
The aim of this paper is, basing on the Leavitt’s model of organizational change and integrating literatures correlation with manufacturing enterprises in big data era, to comb the opportunities and challenges derived from big data, generalizes approaches to capitalizing on it
Summary
“Big data”, emerged at 2008, has profound influence on various fields such as commerce, consumers and society [1], even deeply changes them all [2]. Like enterprises, governments and research institutes, have begun to explore the connotation of big data and the approaches to using it to optimize different activities one after another. According to the report from Cisco, mobile data traffic increased 4000 times over the past decade, and rose four billion times over the past 15 years. It is the data volume explodes, but the rate of data transfer grows faster and faster, as well as the proportion of unstructured data becomes bigger and bigger. The aim of this paper is, basing on the Leavitt’s model of organizational change and integrating literatures correlation with manufacturing enterprises in big data era, to comb the opportunities and challenges derived from big data, generalizes approaches to capitalizing on it.
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