IDEAS home Printed from https://ideas.repec.org/a/idt/journl/cs8701.html
   My bibliography  Save this article

Anyone's Game: Economic and Policy Implications of the Internet of Things as a Market for Services

Author

Listed:
  • Jaclyn SELBY

    (University of Southern California)

Abstract

Research suggests the future of the Internet will be defined by ubiquitous computing: a networked environment in which smart objects, called 'Things,' are imbued with identification data and micro-processing power to form an Internet of Things (IoT). Data production across the Internet continues to proliferate at exponential rates. Thus, this paper aims to provide an introductory framework for the IoT as a market for value extraction from captured data, supported by cloud computing and semantic web services. The paper outlines the technological basis for the IoT in brief, as well as assessing the current state of scholarship in this area. The IoT is then divided into four market segments by the type of end-user addressed by service providers (individuals, firms, city-government, national-government) in order to highlight and illustrate the major policy implications of this emerging services market.

Suggested Citation

  • Jaclyn SELBY, 2012. "Anyone's Game: Economic and Policy Implications of the Internet of Things as a Market for Services," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(87), pages 21-40, 3rd quart.
    • Handle: RePEc:idt:journl:cs8701
    as

    Download full text from publisher

    File URL: http://repec.idate.org/RePEc/idt/journl/CS8701/CS87_SELBY.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kenji KUSHIDA & Jonathan MURRAY & John ZYSMAN, 2012. "The Gathering Storm: Analyzing the Cloud Computing Ecosystem and Implications for Public Policy," Communications & Strategies, IDATE, Com&Strat dept., vol. 1(85), pages 63-85, 1st quart.
    2. Ngai, E.W.T. & Moon, Karen K.L. & Riggins, Frederick J. & Yi, Candace Y., 2008. "RFID research: An academic literature review (1995-2005) and future research directions," International Journal of Production Economics, Elsevier, vol. 112(2), pages 510-520, April.
    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. Gunasekaran, Angappa & Irani, Zahir & Choy, King-Lun & Filippi, Lionel & Papadopoulos, Thanos, 2015. "Performance measures and metrics in outsourcing decisions: A review for research and applications," International Journal of Production Economics, Elsevier, vol. 161(C), pages 153-166.
    2. Voelkel, Michael A. & Sachs, Anna-Lena & Thonemann, Ulrich W., 2020. "An aggregation-based approximate dynamic programming approach for the periodic review model with random yield," European Journal of Operational Research, Elsevier, vol. 281(2), pages 286-298.
    3. Dario Pacciarelli & Andrea D’Ariano & Michele Scotto, 2011. "Applying RFID in warehouse operations of an Italian courier express company," Netnomics, Springer, vol. 12(3), pages 209-222, October.
    4. Reyes, Pedro M. & Li, Suhong & Visich, John K., 2016. "Determinants of RFID adoption stage and perceived benefits," European Journal of Operational Research, Elsevier, vol. 254(3), pages 801-812.
    5. Hsieh, Pao-Nuan & Chang, Pao-Long, 2009. "An assessment of world-wide research productivity in production and operations management," International Journal of Production Economics, Elsevier, vol. 120(2), pages 540-551, August.
    6. Lee, In & Lee, Byoung-Chan, 2010. "An investment evaluation of supply chain RFID technologies: A normative modeling approach," International Journal of Production Economics, Elsevier, vol. 125(2), pages 313-323, June.
    7. Ondemir, Onder & Gupta, Surendra M., 2014. "A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system," European Journal of Operational Research, Elsevier, vol. 233(2), pages 408-419.
    8. Wen, Xiao-Wei & Marlin, Janita & Wen, Zhi-Jian & Yang, Zhao-Hui, 2020. "Reviewing studies of radio frequency identification applications in supply chain for food safety," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(5), February.
    9. Masoud Shakiba & Azam Zavvari & Nader Aleebrahim & Mandeep Jit Singh, 2016. "Evaluating the academic trend of RFID technology based on SCI and SSCI publications from 2001 to 2014," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 591-614, October.
    10. Massimo Riccaboni & Anna Romiti & Gianna Giudicati, 2011. "Co-experience Network Dynamics: Lessons from the Dance Floor," DISA Working Papers 2011/02, Department of Computer and Management Sciences, University of Trento, Italy, revised 28 Mar 2011.
    11. Kyu Tae Park & Jinho Yang & Sang Do Noh, 2021. "VREDI: virtual representation for a digital twin application in a work-center-level asset administration shell," Journal of Intelligent Manufacturing, Springer, vol. 32(2), pages 501-544, February.
    12. Shahriar Akter & Samuel Fosso Wamba, 2019. "Big data and disaster management: a systematic review and agenda for future research," Annals of Operations Research, Springer, vol. 283(1), pages 939-959, December.
    13. Herbjørn Nysveen & Per Egil Pedersen, 2016. "Consumer adoption of RFID-enabled services. Applying an extended UTAUT model," Information Systems Frontiers, Springer, vol. 18(2), pages 293-314, April.
    14. Zhong, Ray Y. & Huang, George Q. & Lan, Shulin & Dai, Q.Y. & Chen, Xu & Zhang, T., 2015. "A big data approach for logistics trajectory discovery from RFID-enabled production data," International Journal of Production Economics, Elsevier, vol. 165(C), pages 260-272.
    15. Reyes, Pedro M. & Li, Suhong & Visich, John K., 2012. "Accessing antecedents and outcomes of RFID implementation in health care," International Journal of Production Economics, Elsevier, vol. 136(1), pages 137-150.
    16. Dobrzykowski, David & Saboori Deilami, Vafa & Hong, Paul & Kim, Seung-Chul, 2014. "A structured analysis of operations and supply chain management research in healthcare (1982–2011)," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 514-530.
    17. Binsfeld, Nico & Whalley, Jason & Pugalis, Lee, 2016. "Competing against yourself: State duopoly in the Luxembourg telecommunications industry," Telecommunications Policy, Elsevier, vol. 40(8), pages 791-803.
    18. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    19. Becker, Jörg & Vilkov, Lev & Weiß, Burkhard & Winkelmann, Axel, 2010. "A model based approach for calculating the process driven business value of RFID investments," International Journal of Production Economics, Elsevier, vol. 127(2), pages 358-371, October.
    20. Zhuang Weiqing & Nakamoto Ichiro & Jiang Ming & Wang Morgan C., 2021. "Big Data Analytics in E-commerce for the U.S. and China Through Literature Reviewing," Journal of Systems Science and Information, De Gruyter, vol. 9(1), pages 16-44, February.

    More about this item

    Keywords

    Internet of Things; ubiquitous computing; big data; cloud computing; policy.;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance
    • L5 - Industrial Organization - - Regulation and Industrial Policy
    • L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software

    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:idt:journl:cs8701. 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: BLAVIER Thomas (email available below). General contact details of provider: https://edirc.repec.org/data/idatefr.html .

    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.