IDEAS home Printed from https://ideas.repec.org/p/zbw/itsb18/190376.html
   My bibliography  Save this paper

The Internet of Things (IoT): A Survey of Topics and Trends using Twitter Data and Topic Modeling

Author

Listed:
  • Chae, Bongsug (Kevin)

Abstract

Extant studies have surveyed the Internet of Things (IoT) using a qualitative, literature review-based approach. These studies are similar in that the authors used predefined categories or topics such as technologies, applications, and issues, and offer a systematic review of existing studies of IoT by focusing on those individual categories. Many of these studies are technology-focused. Our study takes a digital innovation view of IoT as a complex ecosystem of technologies, industry applications, concepts, methodologies, and social institutions, which are temporally dynamic and evolve over time. Unlike the extant review/survey studies using pre-defined categories, this study attempts to investigate the ecology and evolution of IoT by extracting hidden trends from social media data using an unsupervised topic modeling approach. The proposed quantitative, topic model-based approach provides detailed information about popular categories or topics in IoT, the associations among those topics, and their evolution since 2014. By providing these quantitative findings, this study complements the qualitative approaches used in the previous studies studying the IoT landscape.

Suggested Citation

  • Chae, Bongsug (Kevin), 2018. "The Internet of Things (IoT): A Survey of Topics and Trends using Twitter Data and Topic Modeling," 22nd ITS Biennial Conference, Seoul 2018. Beyond the boundaries: Challenges for business, policy and society 190376, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb18:190376
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    2. Daniel D. Lee & H. Sebastian Seung, 1999. "Learning the parts of objects by non-negative matrix factorization," Nature, Nature, vol. 401(6755), pages 788-791, October.
    3. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    4. Shancang Li & Li Da Xu & Shanshan Zhao, 2015. "The internet of things: a survey," Information Systems Frontiers, Springer, vol. 17(2), pages 243-259, April.
    5. Lee, So-Eun & Choi, Mideum & Kim, Seongcheol, 2017. "How and what to study about IoT: Research trends and future directions from the perspective of social science," Telecommunications Policy, Elsevier, vol. 41(10), pages 1056-1067.
    6. Andrew Whitmore & Anurag Agarwal & Li Xu, 2015. "The Internet of Things—A survey of topics and trends," Information Systems Frontiers, Springer, vol. 17(2), pages 261-274, April.
    7. Chae, Bongsug (Kevin), 2015. "Insights from hashtag #supplychain and Twitter Analytics: Considering Twitter and Twitter data for supply chain practice and research," International Journal of Production Economics, Elsevier, vol. 165(C), pages 247-259.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chae, Bongsug (Kevin), 2019. "The evolution of the Internet of Things (IoT): A computational text analysis," Telecommunications Policy, Elsevier, vol. 43(10).
    2. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    3. Ardito, Lorenzo & D'Adda, Diego & Messeni Petruzzelli, Antonio, 2018. "Mapping innovation dynamics in the Internet of Things domain: Evidence from patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 317-330.
    4. Krotov, Vlad, 2017. "The Internet of Things and new business opportunities," Business Horizons, Elsevier, vol. 60(6), pages 831-841.
    5. Kamble, Sachin S. & Gunasekaran, Angappa & Parekh, Harsh & Joshi, Sudhanshu, 2019. "Modeling the internet of things adoption barriers in food retail supply chains," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 154-168.
    6. Caputo, Francesco & Scuotto, Veronica & Carayannis, Elias & Cillo, Valentina, 2018. "Intertwining the internet of things and consumers' behaviour science: Future promises for businesses," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 277-284.
    7. Qinghua Zheng & Chutong Yang & Haijun Yang & Jianhe Zhou, 2020. "A Fast Exact Algorithm for Deployment of Sensor Nodes for Internet of Things," Information Systems Frontiers, Springer, vol. 22(4), pages 829-842, August.
    8. Damminda Alahakoon & Rashmika Nawaratne & Yan Xu & Daswin Silva & Uthayasankar Sivarajah & Bhumika Gupta, 2023. "Self-Building Artificial Intelligence and Machine Learning to Empower Big Data Analytics in Smart Cities," Information Systems Frontiers, Springer, vol. 25(1), pages 221-240, February.
    9. Vasja Roblek & Maja Meško & Alojz Krapež, 2016. "A Complex View of Industry 4.0," SAGE Open, , vol. 6(2), pages 21582440166, June.
    10. Peter M. Bednar & Christine Welch, 0. "Socio-Technical Perspectives on Smart Working: Creating Meaningful and Sustainable Systems," Information Systems Frontiers, Springer, vol. 0, pages 1-18.
    11. Federica Cena & Luca Console & Assunta Matassa & Ilaria Torre, 2019. "Multi-dimensional intelligence in smart physical objects," Information Systems Frontiers, Springer, vol. 21(2), pages 383-404, April.
    12. Oscar Brousse & Charles H. Simpson & Ate Poorthuis & Clare Heaviside, 2024. "Unequal distributions of crowdsourced weather data in England and Wales," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    13. Zahra, Shaker A. & Liu, Wan & Si, Steven, 2023. "How digital technology promotes entrepreneurship in ecosystems," Technovation, Elsevier, vol. 119(C).
    14. Shang, Juan & Li, Pengfei & Li, Ling & Chen, Yong, 2018. "The relationship between population growth and capital allocation in urbanization," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 249-256.
    15. Belfiore, Alessandra & Cuccurullo, Corrado & Aria, Massimo, 2022. "IoT in healthcare: A scientometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    16. Takano, Yasutomo & Kajikawa, Yuya, 2019. "Extracting commercialization opportunities of the Internet of Things: Measuring text similarity between papers and patents," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 45-68.
    17. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.
    18. Emilia Ingemarsdotter & Ella Jamsin & Gerd Kortuem & Ruud Balkenende, 2019. "Circular Strategies Enabled by the Internet of Things—A Framework and Analysis of Current Practice," Sustainability, MDPI, vol. 11(20), pages 1-37, October.
    19. Lei, Yu & Ali, Mazhar & Khan, Imran Ali & Yinling, Wang & Mostafa, Aziz, 2024. "Presenting a model for decentralized operation based on the internet of things in a system multiple microgrids," Energy, Elsevier, vol. 293(C).
    20. Georgiana-Maria PETRESCU & Anda Larisa ȘTEF & Ioana CÎMPAN & Emil Lucian CRIȘAN & Irina Iulia SALANȚĂ, 2023. "Drivers Of Digital Transformation In Product Development, Business Modeling And Human Resources Management," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 32(1), pages 758-770, July.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:itsb18:190376. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itsworld.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.