Traversing Knowledge Networks: An Algorithmic Historiography of Extant Literature on the Internet of Things (IoT)

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

    Research output: Contribution to journalReviewResearchpeer-review

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    Abstract

    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.
    Original languageEnglish
    Journal Journal of Management Analytics
    Volume4
    Issue number1
    Pages (from-to)3-34
    Number of pages32
    ISSN2327-0012
    DOIs
    Publication statusPublished - 2017

    Bibliographical note

    CBS Library does not have access to the material
    Published online: 8. August 2016

    Keywords

    • Internet of things
    • Algorithmic historiography
    • Citation network
    • Codification
    • Diffusion

    Cite this

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    abstract = "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.",
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    language = "English",
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    Traversing Knowledge Networks : An Algorithmic Historiography of Extant Literature on the Internet of Things (IoT). / Liu, Fei; Tan, Chee-Wee; Lim, Eric T. K.; Choi, Ben.

    In: Journal of Management Analytics, Vol. 4, No. 1, 2017, p. 3-34.

    Research output: Contribution to journalReviewResearchpeer-review

    TY - JOUR

    T1 - Traversing Knowledge Networks

    T2 - An Algorithmic Historiography of Extant Literature on the Internet of Things (IoT)

    AU - Liu, Fei

    AU - Tan, Chee-Wee

    AU - Lim, Eric T. K.

    AU - Choi, Ben

    N1 - CBS Library does not have access to the material Published online: 8. August 2016

    PY - 2017

    Y1 - 2017

    N2 - 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.

    AB - 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.

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