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Traversing knowledge networks:an algorithmic historiography of extant literature on the Internet of Things(IoT) 被引量:1
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作者 Fei Liu Chee-Wee Tan +1 位作者 Eric T.K.Lim Ben Choi 《Journal of Management Analytics》 EI 2017年第1期3-34,共32页
Research on the Internet of Things(IoT)has been booming for the past 6 years due to technological advances and potential for application.Nonetheless,the rapid growth of IoT articles and the heterogeneous nature of IoT... Research on the Internet of Things(IoT)has been booming for the past 6 years due to technological advances and potential for application.Nonetheless,the rapid growth of IoT articles and the heterogeneous nature of IoT pose challenges to conducting a systematic review of IoT literature.This study seeks to address the abovementioned challenges by reviewing 1065 IoT articles retrieved from the International Statistical Institute Web of Science via a blend of quantitative citation analysis and qualitative content analysis.For the former,we generated a historiography of IoT research,a citation network,in which we tried to identify main paths of codification and diffusion,as well as path-dependent transitions.For the latter,we explicated the progression of knowledge through 30 central IoT articles in chronological order regarding infrastructures,enabling technologies,potential technologies,and research challenges.Findings from this study contribute to both IoT research and management. 展开更多
关键词 Internet of Things algorithmic historiography citation network CODIFICATION DIFFUSION
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vip Editorial: Special issue on embracing the Internet of Things to drive data-driven decisions
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作者 Chee-Wee Tan Wei Jiang Bin Gu 《Journal of Management Analytics》 EI 2017年第1期1-2,共2页
The Internet of Things(IoT)is a fast emerging phenomenon that is characterized by an expanding network of interconnected sensors and actuators to facilitate data collection and exchange.It has attracted enormous atten... The Internet of Things(IoT)is a fast emerging phenomenon that is characterized by an expanding network of interconnected sensors and actuators to facilitate data collection and exchange.It has attracted enormous attention from both academics and practitioners alike.McKinsey&Company(2015)estimated that IoT could potentially generate annual economic returns in the range of USD$3.9-11.1 trillion by 2025.By blurring the boundaries among people,process,data and devices. 展开更多
关键词 IOT network THINGS
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Meta-synthesis of big data impacts on information systems development 被引量:1
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作者 Saeed Rouhani Sayna Rotbei Mehdi Shamizanjani 《Journal of Management Analytics》 EI 2017年第2期182-201,共20页
Nowadays,it is common to think about big data and its consequences,especially in information systems(IS)room.This study investigated the effects of big data on the design and development of IS,and 167 articles were ex... Nowadays,it is common to think about big data and its consequences,especially in information systems(IS)room.This study investigated the effects of big data on the design and development of IS,and 167 articles were examined using meta-synthesis and the articles were selected for data extraction.Critical Appraisal Skills Program(CASP)was used to evaluate the quailty of the selected articles.The findings indicate that volume affects the layer of software engineering tools,but variety and velocity affect the layer of software engineering methods.Therefore,for the development of IS,it is essential to develop systems with specific capabilities. 展开更多
关键词 big data information system development meta-synthesis method
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