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Smart Building Management System (SBMS) for Commercial Buildings—Key Attributes and Usage Intentions from Building Professionals’ Perspective

Author

Listed:
  • King Hang Lam

    (Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, China)

  • Wai Ming To

    (Faculty of Business, Macao Polytechnic University, Macao, China)

  • Peter K.C. Lee

    (Keele Business School, Keele University, Staffordshire ST5 5AA, UK)

Abstract

Smart buildings conserve energy and create a responsive, comfortable, and productive indoor environment for users and occupants. As a crucial component of smart buildings, smart building management system (SBMS) should provide a wide range of functions and bring about the intended benefits upon successful deployment. This paper identifies salient SBMS attributes and explores key factors influencing building professionals’ intention to use the system in commercial buildings. Responses were collected from 327 Hong Kong building professionals. Data were analyzed by exploratory factor analysis and structural equation modeling based on the refined Unified Theory of Acceptance and Use of Technology (UTAUT). Exploratory factor analysis shows that intelligent building operations and safety and recovery readiness are two dimensions of SBMS emerged. Specifically, intelligent building operations include intelligent and optimal scheduling of building systems, monitor and control of building facilities, having an intelligent and interactive interface, and enabling alarm settings and automatic notifications, showing the importance on the application of electrical engineering in smart building management. Structural equation model (SEM) results indicate that facilitating conditions affect habit, hedonic motivation, social influence, performance expectancy and effort expectancy. Additionally, habit, hedonic motivation and effort expectancy significantly affect building professionals’ intention to use SBMS. Practical implications of SBMS attributes for energy management and the ways in which SBMS is encouraged to be used by building professionals are given.

Suggested Citation

  • King Hang Lam & Wai Ming To & Peter K.C. Lee, 2022. "Smart Building Management System (SBMS) for Commercial Buildings—Key Attributes and Usage Intentions from Building Professionals’ Perspective," Sustainability, MDPI, vol. 15(1), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:80-:d:1010118
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    as
    1. Ramezani, Javaneh & Camarinha-Matos, Luis M., 2020. "Approaches for resilience and antifragility in collaborative business ecosystems," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    2. Kai-Ying Chen & Meng-Lin Chang, 2013. "User acceptance of ‘near field communication’ mobile phone service: an investigation based on the ‘unified theory of acceptance and use of technology’ model," The Service Industries Journal, Taylor & Francis Journals, vol. 33(6), pages 609-623, May.
    3. Michael Yit Lin Chew & Evelyn Ai Lin Teo & Kwok Wei Shah & Vishal Kumar & Ghassan Fahem Hussein, 2020. "Evaluating the Roadmap of 5G Technology Implementation for Smart Building and Facilities Management in Singapore," Sustainability, MDPI, vol. 12(24), pages 1-26, December.
    4. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    5. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    6. Wai-Ming To & Peter K C Lee & King-Hang Lam, 2018. "Building professionals’ intention to use smart and sustainable building technologies – An empirical study," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-17, August.
    7. Vito Albino & Umberto Berardi & Rosa Maria Dangelico, 2015. "Smart Cities: Definitions, Dimensions, Performance, and Initiatives," Journal of Urban Technology, Taylor & Francis Journals, vol. 22(1), pages 3-21, January.
    8. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    9. Ie Zheng Goh & Nitanan Koshy Matthew, 2021. "Residents’ Willingness to Pay for a Carbon Tax," Sustainability, MDPI, vol. 13(18), pages 1-25, September.
    10. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    11. Sirkka Schukat & Heinke Heise, 2021. "Towards an Understanding of the Behavioral Intentions and Actual Use of Smart Products among German Farmers," Sustainability, MDPI, vol. 13(12), pages 1-24, June.
    12. Rob Kitchin & Martin Dodge, 2019. "The (In)Security of Smart Cities: Vulnerabilities, Risks, Mitigation, and Prevention," Journal of Urban Technology, Taylor & Francis Journals, vol. 26(2), pages 47-65, April.
    13. Zhen Li & Jiao Zhang & Mengwan Li & Jizhuo Huang & Xiangyu Wang, 2020. "A Review of Smart Design Based on Interactive Experience in Building Systems," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    14. Dounis, A.I. & Caraiscos, C., 2009. "Advanced control systems engineering for energy and comfort management in a building environment--A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(6-7), pages 1246-1261, August.
    15. José Marco Lourenço & Laura Aelenei & Jorge Facão & Helder Gonçalves & Daniel Aelenei & João Murta Pina, 2021. "The Use of Key Enabling Technologies in the Nearly Zero Energy Buildings Monitoring, Control and Intelligent Management," Energies, MDPI, vol. 14(17), pages 1-21, September.
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