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Exploring the intellectual cores of the blockchain–Internet of Things (BIoT)
Journal of Enterprise Information Management ( IF 7.4 ) Pub Date : 2021-03-16 , DOI: 10.1108/jeim-10-2020-0395
Y.P. Tsang , C.H. Wu , W.H. Ip , Wen-Lung Shiau

Purpose

Due to the rapid growth of blockchain technology in recent years, the fusion of blockchain and the Internet of Things (BIoT) has drawn considerable attention from researchers and industrial practitioners and is regarded as a future trend in technological development. Although several authors have conducted literature reviews on the topic, none have examined the development of the knowledge structure of BIoT, resulting in scattered research and development (R&D) efforts.

Design/methodology/approach

This study investigates the intellectual core of BIoT through a co-citation proximity analysis–based systematic review (CPASR) of the correlations between 44 highly influential articles out of 473 relevant research studies. Subsequently, we apply a series of statistical analyses, including exploratory factor analysis (EFA), hierarchical cluster analysis (HCA), k-means clustering (KMC) and multidimensional scaling (MDS) to establish the intellectual core.

Findings

Our findings indicate that there are nine categories in the intellectual core of BIoT: (1) data privacy and security for BIoT systems, (2) models and applications of BIoT, (3) system security theories for BIoT, (4) frameworks for BIoT deployment, (5) the fusion of BIoT with emerging methods and technologies, (6) applied security strategies for using blockchain with the IoT, (7) the design and development of industrial BIoT, (8) establishing trust through BIoT and (9) the BIoT ecosystem.

Originality/value

We use the CPASR method to examine the intellectual core of BIoT, which is an under-researched and topical area. The paper also provides a structural framework for investigating BIoT research that may be applicable to other knowledge domains.



中文翻译:

探索区块链-物联网(BIoT)的智能核心

目的

由于近年来区块链技术的快速发展,区块链与物联网(BIoT)的融合引起了研究人员和行业从业者的广泛关注,被视为未来技术发展的趋势。尽管有几位作者对该主题进行了文献综述,但没有人研究过 BIoT 知识结构的发展,导致研究和开发 (R&D) 工作分散。

设计/方法/方法

本研究通过对 473 篇相关研究中的 44 篇极具影响力的文章之间的相关性进行基于共引邻近分析的系统评价 (CPASR),研究了 BIoT 的知识核心。随后,我们应用一系列统计分析,包括探索性因素分析(EFA)、层次聚类分析(HCA)、k-均值聚类(KMC)和多维尺度(MDS)来建立智力核心。

发现

我们的研究结果表明,BIoT 的智力核心有九个类别:(1)BIoT 系统的数据隐私和安全,(2)BIoT 的模型和应用,(3)BIoT 的系统安全理论,(4)BIoT 的框架部署,(5) BIoT 与新兴方法和技术的融合,(6) 将区块链与 IoT 结合使用的应用安全策略,(7) 工业 BIoT 的设计和开发,(8) 通过 BIoT 建立信任和 (9) BIoT 生态系统。

原创性/价值

我们使用 CPASR 方法来检查 BIoT 的智能核心,这是一个研究不足的热门领域。该论文还提供了一个结构框架,用于调查可能适用于其他知识领域的 BIoT 研究。

更新日期:2021-03-16
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