Formulation and Validation of an IoT Readiness Instrument in Residential Fire Detection

• Published in: JURNAL KEJURUTERAAN
• Main Authors: Zin, Rabeah Md; Ani, Adi Irfan Che; Noh, Nur'Amirah Mhd; Hassin, Mohd Asrul; Chohan, Afaq Hyder
• Format: Article
• Language: Malay
• Published: UKM PRESS 2024
• Subjects: Engineering
• Online Access: https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001421957400019
• ISSN: 0128-0198; 2289-7526
• DOI: 10.17576/jkukm-2024-36(6)-18

This study focuses on developing and validating an instrument to measure the readiness for Internet of Things (IoT) integration in fire detection systems for residential housing types. The main objective is to develop a valid and reliable survey instrument to assess users'readiness to accept and use IoT technology in the context of home fire safety. The research methodology involves a combination of the Technology Readiness Index (TRI) Theory and the Technology Acceptance Model (TAM) as the theoretical basis for the development of instrument items. This process was followed by content validation involving six expert panel members appointed in the field of fire safety. Survey questions were distributed to experts via email. These experts assessed the proposed items'appropriateness, clarity, and relevance. The initial instrument consisted of 45 items covering the main dimensions of TRI (optimism, innovation, discomfort, insecurity), TAM constructs (perceived usefulness, perceived ease of use, and behavioral intention), and Readiness to use IoT for fire detection at home. The findings were analyzed using the Content Validity Ratio (CVR) and Content Validity Index (CVI) methods. Through the content validation process, 7 items were revised or filtered to produce a final instrument with 38 items. Findings show that the developed instrument has good content validity, with a satisfactory Content Validity Ratio (CVR) and Content Validity Index (CVI). Reliability analysis indicates high internal consistency across all dimensions of the instrument. This study contributes to the literature by providing a validated instrument to measure IoT integration readiness in residential fire detection systems. This instrument can be used by researchers, policymakers, and industry professionals to assess and predict IoT technology readiness in the context of home fire safety.