Synthesizing Knowledge on Internet of Things (IoT): An Algorithmic Historiographical Approach

Fei Liu, Chee-Wee Tan, Eric T. K. Lim

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    Research on Internet of Things (IoT) has been booming for past couple of years due to technological advances and its potential for application. Nonetheless, the rapid growth of IoT articles as well as the heterogeneous nature of IoT pose challenges in synthesizing prior research on the phenomenon. Based on quantitative citation analysis, this Research-in-Progress (RIP) study seeks to tackle the abovementioned challenges by reviewing 1,065 IoT articles retrieved from ISI Web of Science. Specifically, we employed HistCite to generate a historiography of IoT research. In turn, the historiography yields a citation network that not only aids us in identifying main paths of codification and diffusion, but also helps in exploring the existence of path-dependent transitions within extant literature. This study hence contributes to both IoT research and practice by tracing the accumulation of knowledge on IoT and pinpointing the most influential ideas to-date on the topic.
    Original languageEnglish
    Title of host publication2016 International Conference on Information Systems, ICIS 2016
    Number of pages10
    Place of PublicationAtlanta, GA
    PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publication date2016
    ISBN (Electronic)9780996683135
    Publication statusPublished - 2016
    Event2016 International Conference on Information Systems, ICIS 2016: Digital Innovation at the Crossroads - University of Limerick, Dublin, Ireland
    Duration: 11 Dec 201614 Dec 2016
    Conference number: 37


    Conference2016 International Conference on Information Systems, ICIS 2016
    LocationUniversity of Limerick
    OtherThirty Seventh International Conference on Information Systems
    Internet address
    SeriesProceedings of the International Conference on Information Systems


    • Algorithmic historiography
    • Internet of Things
    • Citation analysis
    • Main-path analysis
    • Path-dependent Transitions

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