IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v136y2018icp1-13.html
   My bibliography  Save this article

Fuzzy AHP analysis of Internet of Things (IoT) in enterprises

Author

Listed:
  • Ly, Pham Thi Minh
  • Lai, Wen-Hsiang
  • Hsu, Chiung-Wen
  • Shih, Fang-Yin

Abstract

Internet of Things (IoT) is a term that has been introduced in recent years, and it defines objects being able to connect and transfer data through the internet. Although some IoT-related products are currently available in the market, there are still some IoT problems that need to be overcome, such as the security issues and lack of confidence and understanding of IoT. This study aims to analyze the influential factors in building successful IoT system for IoT-related enterprises. This study develops a rule-based decision support mechanism using fuzzy set theory and the Analytic Hierarchy Process (AHP) to evaluate the influential factors in IoT. This study finds that tangible factors (Security, Value and Connectivity) are more important than the intangible factors (Telepresence and Intelligence). Finally, this study concludes that after enterprises build a good IoT connectivity system, it is essential to combine this with good IoT security to create a successful IoT environment. Enterprises should also consider both IoT security and IoT values for the IoT products and employees' working convenience.

Suggested Citation

  • Ly, Pham Thi Minh & Lai, Wen-Hsiang & Hsu, Chiung-Wen & Shih, Fang-Yin, 2018. "Fuzzy AHP analysis of Internet of Things (IoT) in enterprises," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 1-13.
    • Handle: RePEc:eee:tefoso:v:136:y:2018:i:c:p:1-13
    DOI: 10.1016/j.techfore.2018.08.016
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162518307030
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2018.08.016?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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. Edward Oughton, 2018. "Towards 5G: scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Working Papers 2017/04 (revised), Cambridge Judge Business School, University of Cambridge.
    3. Yang, L. & Yang, S.H. & Plotnick, L., 2013. "How the internet of things technology enhances emergency response operations," Technological Forecasting and Social Change, Elsevier, vol. 80(9), pages 1854-1867.
    4. Jintao Wu & Junsong Chen & Wenyu Dou, 2017. "The Internet of Things and interaction style : the effect of smart interaction on brand attachment," Post-Print hal-02312314, HAL.
    5. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    6. Wang, Yu-Hui & Hsieh, Chia-Ching, 2018. "Explore technology innovation and intelligence for IoT (Internet of Things) based eyewear technology," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 281-290.
    7. Ragin, Charles C., 2000. "Fuzzy-Set Social Science," University of Chicago Press Economics Books, University of Chicago Press, edition 1, number 9780226702773, November.
    8. Oughton, Edward & Frias, Zoraida & Russell, Tom & Sicker, Douglas & Cleevely, David D., 2018. "Towards 5G: Scenario-based assessment of the future supply and demand for mobile telecommunications infrastructure," Technological Forecasting and Social Change, Elsevier, vol. 133(C), pages 141-155.
    9. Kim, Suwon & Kim, Seongcheol, 2016. "A multi-criteria approach toward discovering killer IoT application in Korea," Technological Forecasting and Social Change, Elsevier, vol. 102(C), pages 143-155.
    10. repec:ucp:bkecon:9780226702766 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ilić, Damir & Milošević, Isidora & Ilić-Kosanović, Tatjana, 2022. "Application of Unmanned Aircraft Systems for smart city transformation: Case study Belgrade," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    2. Yixi Xue & Yi Zhang & Yi Chen, 2019. "An Evaluation Framework for the Planning of Electric Car-Sharing Systems: A Combination Model of AHP-CBA-VD," Sustainability, MDPI, vol. 11(20), pages 1-22, October.
    3. Sergio Domínguez & María Carmen Carnero, 2020. "Fuzzy Multicriteria Modelling of Decision Making in the Renewal of Healthcare Technologies," Mathematics, MDPI, vol. 8(6), pages 1-46, June.
    4. Majumdar, Abhijit & Tiwari, Manoj Kumar & Agarwal, Aastha & Prajapat, Kanika, 2021. "A new case of rank reversal in analytic hierarchy process due to aggregation of cost and benefit criteria," Operations Research Perspectives, Elsevier, vol. 8(C).

    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. Arfi, Wissal Ben & Nasr, Imed Ben & Kondrateva, Galina & Hikkerova, Lubica, 2021. "The role of trust in intention to use the IoT in eHealth: Application of the modified UTAUT in a consumer context," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    2. Lu, Yang & Papagiannidis, Savvas & Alamanos, Eleftherios, 2018. "Internet of Things: A systematic review of the business literature from the user and organisational perspectives," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 285-297.
    3. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    4. Kumar, V. & Ramachandran, Divya & Kumar, Binay, 2021. "Influence of new-age technologies on marketing: A research agenda," Journal of Business Research, Elsevier, vol. 125(C), pages 864-877.
    5. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    6. Lo, Fang-Yi & Campos, Nayara, 2018. "Blending Internet-of-Things (IoT) solutions into relationship marketing strategies," Technological Forecasting and Social Change, Elsevier, vol. 137(C), pages 10-18.
    7. Leonardo Guevara & Fernando Auat Cheein, 2020. "The Role of 5G Technologies: Challenges in Smart Cities and Intelligent Transportation Systems," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    8. erpetua S. Wanaswa & Zachary B. Awino & Martin Ogutu & Joseph Owino, 2023. "Technological Innovation and Strategic Leadership Axis on Competitive Advantage of Telecommunication Enterprises," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(9), pages 1-48, February.
    9. Edward J. Oughton & Ashutosh Jha, 2021. "Supportive 5G Infrastructure Policies are Essential for Universal 6G: Assessment using an Open-source Techno-economic Simulation Model utilizing Remote Sensing," Papers 2102.08086, arXiv.org, revised Jun 2021.
    10. Blind, Knut & Niebel, Crispin, 2022. "5G roll-out failures addressed by innovation policies in the EU," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    11. Edward J. Oughton & Will Usher & Peter Tyler & Jim W. Hall, 2018. "Infrastructure as a Complex Adaptive System," Complexity, Hindawi, vol. 2018, pages 1-11, November.
    12. Lee, Chuan-Kai & Yu, Limeng, 2022. "A multi-level perspective on 5G transition: The China case," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    13. Parcu, Pier Luigi & Innocenti, Niccolò & Carrozza, Chiara, 2022. "Ubiquitous technologies and 5G development. Who is leading the race?," Telecommunications Policy, Elsevier, vol. 46(4).
    14. Metallo, Concetta & Agrifoglio, Rocco & Schiavone, Francesco & Mueller, Jens, 2018. "Understanding business model in the Internet of Things industry," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 298-306.
    15. Hoeschele, Thomas & Dietzel, Christoph & Kopp, Daniel & Fitzek, Frank H.P. & Reisslein, Martin, 2021. "Importance of Internet Exchange Point (IXP) infrastructure for 5G: Estimating the impact of 5G use cases," Telecommunications Policy, Elsevier, vol. 45(3).
    16. Satyanand Singh & Joanna Rosak-Szyrocka & István Drotár & Xavier Fernando, 2023. "Oceania’s 5G Multi-Tier Fixed Wireless Access Link’s Long-Term Resilience and Feasibility Analysis," Future Internet, MDPI, vol. 15(10), pages 1-29, October.
    17. Ioannou, Nikos & Kokkinis, Dimitris & Katsianis, Dimitris & Varoutas, Dimitris, 2023. "Comparative Techno-Economic Evaluation of 5G Infrastructure Sharing Business Models in European Rural Areas," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277973, International Telecommunications Society (ITS).
    18. Cheng, Xiaoyuan & Hu, Yukun & Varga, Liz, 2022. "5G network deployment and the associated energy consumption in the UK: A complex systems’ exploration," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    19. Haldar, Anasuya & Sethi, Narayan, 2022. "Environmental effects of Information and Communication Technology - Exploring the roles of renewable energy, innovation, trade and financial development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 153(C).
    20. Kim, Daewon & Kim, Seongcheol, 2017. "Newspaper companies' determinants in adopting robot journalism," Technological Forecasting and Social Change, Elsevier, vol. 117(C), pages 184-195.

    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:eee:tefoso:v:136:y:2018:i:c:p:1-13. 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: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    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.