IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v60y2020ics0160791x18302860.html
   My bibliography  Save this article

A multi-criteria analysis for an internet of things application recommendation system

Author

Listed:
  • Mashal, Ibrahim
  • Alsaryrah, Osama
  • Chung, Tein-Yaw
  • Yuan, Fong-Ching

Abstract

Various internet of things applications are available that cover every aspect of daily life and users can subscribe to numerous IoT applications. Selecting the most suitable IoT applications for individual users is a critical challenge. This study aims to solve this challenge by proposing recommendation system using a hybrid multicriteria decision-making approach based on the analytical hierarchy process and simple additive weight methods. Based on the opinions and preferences of experts, the model and the hierarchy were designed to assess and compare three crucial criteria, namely smart objects, applications, and providers. The results show that applications criterion is more important for users than the other two criteria. In specific, privacy, reliability, and availability are crucial criteria for IoT applications.

Suggested Citation

  • Mashal, Ibrahim & Alsaryrah, Osama & Chung, Tein-Yaw & Yuan, Fong-Ching, 2020. "A multi-criteria analysis for an internet of things application recommendation system," Technology in Society, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:teinso:v:60:y:2020:i:c:s0160791x18302860
    DOI: 10.1016/j.techsoc.2019.101216
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X18302860
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2019.101216?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. Mashal, Ibrahim & Alsaryrah, Osama & Chung, Tein-Yaw, 2016. "Performance evaluation of recommendation algorithms on Internet of Things services," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 646-656.
    2. Choi, Jaewon & Kim, Seongcheol, 2018. "An AHP Approach toward Evaluating IoT Business Ecosystem in Korea," 29th European Regional ITS Conference, Trento 2018 184939, International Telecommunications Society (ITS).
    3. 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.
    4. Nada R. Sanders & Karl B. Manrodt, 2003. "Forecasting Software in Practice: Use, Satisfaction, and Performance," Interfaces, INFORMS, vol. 33(5), pages 90-93, October.
    5. Shuhaiber, Ahmed & Mashal, Ibrahim, 2019. "Understanding users’ acceptance of smart homes," Technology in Society, Elsevier, vol. 58(C).
    6. Mohammadzadeh, Ali Kamali & Ghafoori, Saeed & Mohammadian, Ayoub & Mohammadkazemi, Reza & Mahbanooei, Bahareh & Ghasemi, Rohollah, 2018. "A Fuzzy Analytic Network Process (FANP) approach for prioritizing internet of things challenges in Iran," Technology in Society, Elsevier, vol. 53(C), pages 124-134.
    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. Liao, Shu-Hsien & Widowati, Retno & Hsieh, Yu-Chieh, 2021. "Investigating online social media users’ behaviors for social commerce recommendations," Technology in Society, Elsevier, vol. 66(C).
    2. Aggarwal, Nitin & Albert, Leslie J. & Hill, Timothy R. & Rodan, Simon A., 2020. "Risk knowledge and concern as influences of purchase intention for internet of things devices," Technology in Society, Elsevier, vol. 62(C).
    3. Seker, Sukran, 2022. "IoT based sustainable smart waste management system evaluation using MCDM model under interval-valued q-rung orthopair fuzzy environment," Technology in Society, Elsevier, vol. 71(C).
    4. Cho, Ji Yeon & Park, Soo Kyung, 2023. "Key factors for sustainable operation of smart rural communities in aging societies: Voices of Korean community leaders," Technology in Society, Elsevier, vol. 74(C).
    5. Abdulaziz Alanazi & Mohana Alanazi, 2023. "Multicriteria Decision-Making for Evaluating Solar Energy Source of Saudi Arabia," Sustainability, MDPI, vol. 15(13), pages 1-37, June.
    6. Franciely Velozo Aragão & Daiane Maria de Genaro Chiroli & Fernanda Cavicchioli Zola & Emanuely Velozo Aragão & Luis Henrique Nogueira Marinho & Ana Lidia Cascales Correa & João Carlos Colmenero, 2023. "Smart Cities Maturity Model—A Multicriteria Approach," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    7. Yang, Xue, 2021. "Determinants of consumers’ continuance intention to use social recommender systems: A self-regulation perspective," Technology in Society, Elsevier, vol. 64(C).
    8. Nasrollahi, Maedeh & Ghadikolaei, Abdolhamid Safaei & Ghasemi, Rohollah & Sheykhizadeh, Morteza & Abdi, Mehdi, 2022. "Identification and prioritization of connected vehicle technologies for sustainable development in Iran," Technology in Society, Elsevier, vol. 68(C).
    9. Heidary Dahooie, Jalil & Mohammadian, Ayoub & Qorbani, Ali Reza & Daim, Tugrul, 2023. "A portfolio selection of internet of things (IoTs) applications for the sustainable urban transportation: A novel hybrid multi criteria decision making approach," Technology in Society, Elsevier, vol. 75(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. Pal, Debajyoti & Zhang, Xiangmin & Siyal, Saeed, 2021. "Prohibitive factors to the acceptance of Internet of Things (IoT) technology in society: A smart-home context using a resistive modelling approach," Technology in Society, Elsevier, vol. 66(C).
    2. Heidary Dahooie, Jalil & Mohammadian, Ayoub & Qorbani, Ali Reza & Daim, Tugrul, 2023. "A portfolio selection of internet of things (IoTs) applications for the sustainable urban transportation: A novel hybrid multi criteria decision making approach," Technology in Society, Elsevier, vol. 75(C).
    3. Hajiheydari, Nastaran & Delgosha, Mohammad Soltani & Olya, Hossein, 2021. "Scepticism and resistance to IoMT in healthcare: Application of behavioural reasoning theory with configurational perspective," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    4. Videsh Desingh & Baskaran R, 2022. "Internet of Things adoption barriers in the Indian healthcare supply chain: An ISM‐fuzzy MICMAC approach," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(1), pages 318-351, January.
    5. Gansser, Oliver Alexander & Reich, Christina Stefanie, 2021. "A new acceptance model for artificial intelligence with extensions to UTAUT2: An empirical study in three segments of application," Technology in Society, Elsevier, vol. 65(C).
    6. Nasrollahi, Maedeh & Ghadikolaei, Abdolhamid Safaei & Ghasemi, Rohollah & Sheykhizadeh, Morteza & Abdi, Mehdi, 2022. "Identification and prioritization of connected vehicle technologies for sustainable development in Iran," Technology in Society, Elsevier, vol. 68(C).
    7. Kusters, Ulrich & McCullough, B.D. & Bell, Michael, 2006. "Forecasting software: Past, present and future," International Journal of Forecasting, Elsevier, vol. 22(3), pages 599-615.
    8. Robert Fildes & Paul Goodwin, 2007. "Against Your Better Judgment? How Organizations Can Improve Their Use of Management Judgment in Forecasting," Interfaces, INFORMS, vol. 37(6), pages 570-576, December.
    9. Weiss, Daniel & Nemeczek, Fabian, 2021. "A text-based monitoring tool for the legitimacy and guidance of technological innovation systems," Technology in Society, Elsevier, vol. 66(C).
    10. Arvan, Meysam & Fahimnia, Behnam & Reisi, Mohsen & Siemsen, Enno, 2019. "Integrating human judgement into quantitative forecasting methods: A review," Omega, Elsevier, vol. 86(C), pages 237-252.
    11. Kuo Cheng Chung & Paul Juinn Bing Tan, 2022. "Options to Improve Service Quality to Enhance Value Co-Creation for Customers in the Aviation Industry in Taiwan," SAGE Open, , vol. 12(1), pages 21582440221, March.
    12. Nilashi, Mehrbakhsh & Abumalloh, Rabab Ali & Samad, Sarminah & Alrizq, Mesfer & Alyami, Sultan & Abosaq, Hamad & Alghamdi, Abdullah & Akib, Noor Adelyna Mohammed, 2022. "Factors impacting customer purchase intention of smart home security systems: Social data analysis using machine learning techniques," Technology in Society, Elsevier, vol. 71(C).
    13. Yin, Likang & Deng, Yong, 2018. "Measuring transferring similarity via local information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 102-115.
    14. Kim, Suwon & Kim, Seongcheol, 2018. "User preference for an IoT healthcare application for lifestyle disease management," Telecommunications Policy, Elsevier, vol. 42(4), pages 304-314.
    15. van Bruggen, G.H. & Wierenga, B., 2005. "When are CRM Systems Successful? The Perspective of the User and of the Organization," ERIM Report Series Research in Management ERS-2005-048-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Hoffmann, Stefan & Lasarov, Wassili & Reimers, Hanna, 2022. "Carbon footprint tracking apps. What drives consumers' adoption intention?," Technology in Society, Elsevier, vol. 69(C).
    17. 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.
    18. Israr Ullah & Rashid Ahmad & DoHyeun Kim, 2018. "A Prediction Mechanism of Energy Consumption in Residential Buildings Using Hidden Markov Model," Energies, MDPI, vol. 11(2), pages 1-20, February.
    19. 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.
    20. Mina, Giorgio & Peira, Giovanni & Bonadonna, Alessandro, 2023. "Public perception and social sustainability of indoor farming technologies: A systematic review," Technology in Society, Elsevier, vol. 75(C).

    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:teinso:v:60:y:2020:i:c:s0160791x18302860. 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: https://www.journals.elsevier.com/technology-in-society .

    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.