基于大数据的物联网经济发展模式与战略选择

IF 0.6 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Information Technology and Web Engineering Pub Date : 2023-09-25 DOI:10.4018/ijitwe.330682
Xuelin Chen, Xia Zhao, Na Ye
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引用次数: 0

摘要

物联网已成为我国战略性新兴产业的重点扶持对象。推进物联网建设具有重要的现实意义。在国家政策的推动下,中国物联网的发展取得了一定的成效,但也面临着诸多问题。例如,关于物联网经济的理论和实证研究很少。在此背景下,本文从大数据视角研究物联网经济的发展模式及影响因素,并以江苏省为例提出发展策略。本文研究了物联网经济大数据生态系统的三个阶段发展模型:初级阶段、成长成熟阶段和整合阶段。在发展模型研究的基础上,研究了大数据视角下物联网经济发展模型的一般评价方法,建立了战略选择的一般模型。
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The Economic Development Model and Strategy Selection of the Internet of Things Based on Big Data
The internet of things (IoT) has become a key support object for Chinese strategic emerging industries. It is of great practical significance to promote the construction of the internet of things. Driven by national policies, the development of the internet of things in China has achieved certain results, but it also faces many problems. For example, there are few theoretical and empirical studies on the internet of things economy. In this context, from the perspective of big data, this paper studies the development model and influencing factors of the internet of things economy, and takes Jiangsu Province as an example to put forward development strategies. This article studies the three-stage development model of the IoT economic big data ecosystem: the primary stage, the growth and maturity stage, and the integration stage. On the basis of the research on the development model, the general evaluation method of the economic development model of the internet of things from the perspective of big data is studied, and the general model of strategy selection is established.
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
24
期刊介绍: Organizations are continuously overwhelmed by a variety of new information technologies, many are Web based. These new technologies are capitalizing on the widespread use of network and communication technologies for seamless integration of various issues in information and knowledge sharing within and among organizations. This emphasis on integrated approaches is unique to this journal and dictates cross platform and multidisciplinary strategy to research and practice.
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