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Developing House of Information Quality framework for IoT systems

Author

Listed:
  • Rawhi Alrae

    (University of Sharjah)

  • Qassim Nasir

    (University of Sharjah)

  • Manar Abu Talib

    (University of Sharjah)

Abstract

The Internet of Things (IoT) system deals with a large amount of data generated by numerous sensors distributed over a vast geographical area. The goal of gathering such a massive amount of data is to create information. The optimum Information Quality (IQ) is critical for leveraging value from the IoT system. Although several studies have made various proposals on managing IQ, there seems to be a lack of methodologies that are general enough to assist managers in planning or auditing the quality of the information for the IoT systems. Therefore, there is a need for a complete framework that systemically develop the total IQ of the IoT systems. Since information is a product for an IoT system, this paper describes data quality dimensions as components of this product and IoT technical elements as the technical requirements for the product. Moreover, this research paper uses the House of Quality (HoQ) technique to correlate the data quality dimensions with the IoT technical elements. Furthermore, this paper proposes a systematic framework to manage IQ for the IoT systems by describing the implementation of the HoQ technique from the perspective of the IQ management processes. The paper conducts a comparison study as an initial validation for the proposed framework. However, with the continuous development of the IoT industry, this research paper may need to conduct other two validation methods: single-case experiment and expert opinion.

Suggested Citation

  • Rawhi Alrae & Qassim Nasir & Manar Abu Talib, 0. "Developing House of Information Quality framework for IoT systems," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 0, pages 1-20.
    • Handle: RePEc:spr:ijsaem:v::y::i::d:10.1007_s13198-020-00989-6
    DOI: 10.1007/s13198-020-00989-6
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    References listed on IDEAS

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    3. Besiki Stvilia & Les Gasser & Michael B. Twidale & Linda C. Smith, 2007. "A framework for information quality assessment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 58(12), pages 1720-1733, October.
    4. Temponi, Cecilia & Yen, John & Amos Tiao, W., 1999. "House of quality: A fuzzy logic-based requirements analysis," European Journal of Operational Research, Elsevier, vol. 117(2), pages 340-354, September.
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