Developing a Conceptual Model for Evaluating Construction Workers’ Adaptation to the Use of Wearable Sensing Devices
Publication: Construction Research Congress 2024
ABSTRACT
Existing studies conducted across industries on the adoption and acceptance of safety technologies such as wearable sensing devices (WSDs) indicate that users still have some post-adoptive concerns about the use of these devices, and they tend to manage these concerns using different mechanisms. This unease is more pronounced in the construction industry reputed for being averse to the adoption of technology or innovation. Details about workers’ post-WSD-adoption behavior and how to measure their coping mechanisms have received limited attention in construction research. This study proposes a conceptual model that can be deployed to examine the coping mechanism and infusion of WSDs for safety and health monitoring in construction. First, a review of the antecedents of the adoption and use of WSDs is conducted followed by an appraisal of existing theories and models that can be used to explain user coping behavior and adaptation. Subsequently, the feasibility and utility of the proposed conceptual model was evaluated by construction safety experts. This study provides foundational insights needed to generate new knowledge regarding the post-WSD-adoption behavior of construction workers. Such insights could influence strategies geared toward enhancing the successful use of WSDs for construction safety and health management.
Get full access to this article
View all available purchase options and get full access to this chapter.
REFERENCES
Ahn, C. R., Lee, S., Sun, C., Jebelli, H., Yang, K., and Choi, B. (2019). “Wearable sensing technology applications in construction safety and health.” Journal of Construction Engineering and Management, 145(11), 03119007.
Awolusi, I., Marks, E., and Hallowell, M. (2018). “Wearable Technology for Personalized Construction Safety Monitoring and Trending: Review of Applicable Devices.” Automation in Construction, 85: 96–106.
Beaudry, A., and Pinsonneault, A. (2005). “Understanding user responses to information technology: A coping model of user adaptation.” MIS Quarterly, 493–524.
Bhattacherjee, A., Davis, C. J., Connolly, A. J., and Hikmet, N. (2018). “User response to mandatory IT use: a coping theory perspective.” European Journal of Information Systems, 27(4), 395–414.
Bonato, P. (2009). “Advances in wearable technology for rehabilitation.” Studies in Health Technology and Informatics, 145, 145–159.
Choi, B., Hwang, S., and Lee, S. (2017). “What drives construction workers’ acceptance of wearable technologies in the workplace?: Indoor localization and wearable health devices for occupational safety and health.” Automation in Construction, 84, 31–41.
Cimperman, M., Brenčič, M. M., and Trkman, P. (2016). “Analyzing older users’ home telehealth services acceptance behavior—applying an Extended UTAUT model.” International journal of medical informatics, 90, 22–31.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319–340.
Duhachek, A., and Iacobucci, D. (2005). “Consumer personality and coping: Testing rival theories of process.” Journal of Consumer Psychology, 15(1), 52–63.
Fadel, K. J., and Brown, S. A. (2010). “Information systems appraisal and coping: The role of user perceptions.” Communications of the Association for Information Systems, 26(1), 107–126.
Fugate, H., and Alzraiee, H. (2023). “Quantitative analysis of construction labor acceptance of wearable sensing devices to enhance workers’ safety.” Results in Engineering, 17, 100841.
Gao, Y., Li, H., and Luo, Y. (2015). “An empirical study of wearable technology acceptance in healthcare.” Industrial Management & Data Systems.
Huang, Y., Trinh, M. T., and Le, T. (2021). “Critical factors affecting intention of use of augmented hearing protection technology in construction.” Journal of Construction Engineering and Management, 147(8), 04021088.
Hsieh, J. P. A., Rai, A., and Xu, S. X. (2011). “Extracting business value from IT: A sensemaking perspective of post-adoptive use.” Management Science, 57(11), 2018–2039.
Hsieh, J. P. A., and Wang, W. (2007). “Explaining employees’ extended use of complex information systems.” European Journal of Information Systems, 16(3), 216e227.
Hsieh, J. J., and Zmud, R. W. (2006). “Understanding post-adoptive usage behaviors: A two-dimensional view.” Proceedings of the DIGIT Workshop Milwaukee, Wisconsin, USA.
Jones, E., Sundaram, S., and Chin, W. (2002). “Factors leading to sales force automation use: A longitudinal analysis.” Journal of Personal Selling & Sales Management, 22(3), 145–156.
Lazarus, R. S., and Folkman, S. (1984). Stress, appraisal, and coping. Springer publishing company.
Lee, S., Yu, J., and Jeong, D. (2013). “BIM acceptance model in construction organizations.” Journal of management in engineering, 31(3), 04014048.
Lunney, A., Cunningham, N. R., and Eastin, M. S. (2016). “Wearable fitness technology: A structural investigation into acceptance and perceived fitness outcomes.” Computers in Human Behavior, 65, 114–120.
Marakhimov, A., and Joo, J. (2017). “Consumer adaptation and infusion of wearable devices for healthcare.” Computers in Human Behavior, 76, 135–148.
Marks, E., and Teizer, J. (2012). “Proximity Sensing and Warning Technology for Heavy Construction Equipment Operation.” Construction Research Congress 2012, 981–990.
Mutsai, T., and Coleman, E. (2019). “Towards an Understanding of Post-Adoption Usage Behaviours in the Context of M-Health Pregnancy Support Applications.” In Proceedings of the South African Institute of Computer Scientists and Information Technologists 2019 (pp. 1–11).
Nnaji, C., Awolusi, I., Park, J. W., and Albert, A. (2021). “Wearable sensing devices: towards the development of a personalized system for construction safety and health risk mitigation.” Sensors, 21(3), 682.
Nnaji, C., and Karakhan, A. A. (2020). “Technologies for safety and health management in construction: Current use, implementation benefits and limitations, and adoption barriers. Journal of Building Engineering, 29, 101212.
Nnaji, C., Okpala, I., and Awolusi, I. (2020). “Wearable Sensing Devices: Potential Impact & Current Use for Incident Prevention.” Professional Safety, 65(04), 16–24.
Okpala, I., Nnaji, C., and Awolusi, I. (2022). “Wearable sensing devices acceptance behavior in construction safety and health: assessing existing models and developing a hybrid conceptual model.” Construction Innovation, 22(1), 57–75.
Okpala, I., Nnaji, C., Awolusi, I., and Akanmu, A. (2021). “Developing a Success Model for Assessing the Impact of Wearable Sensing Devices in the Construction Industry.” Journal of Construction Engineering and Management, 147(7), 04021060.
Ozorhon, B., Arditi, D., Dikmen, I., and Birgonul, M. T. (2010). “Performance of international joint ventures in construction”. Journal of Management in Engineering, 26(4), 209–222.
Park, J., Marks, E., Cho, Y. K., and Suryanto, W. (2016). “Performance Test of Wireless Technologies for Personnel and Equipment Proximity Sensing in Work Zones.” Journal of Construction Engineering and Management, 142(1), 04015049-1-9.
Pavlou, P. A., and Fygenson, M. (2006). “Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior.” MIS Quarterly, 30(1), 115–143.
Pesudovs, K., Burr, J. M., Harley, C., and Elliott, D. B. (2007). “The development, assessment, and selection of questionnaires.” Optometry and Vision Science, 84(8), 663–674.
Po-An Hsieh, J. J., and Wang, W. (2007). “Explaining employees’ extended use of complex information systems.” European journal of information systems, 16(3), 216–227.
Rahman, M. M., Lesch, M. F., Horrey, W. J., and Strawderman, L. (2017). “Assessing the utility of TAM, TPB, and UTAUT for advanced driver assistance systems.” Accident Analysis & Prevention, 108, 361–373.
Sargent, K., Hyland, P., and Sawang, S. (2012). “Factors influencing the adoption of information technology in a construction business.” Australasian Journal of Construction Economics and Building, 12(2), 72.
SmartMarket. (2017). “Safety management in the construction industry 2017.” SmartMarket Report. Bedford, MA: Dodge Data and Analytics.
Sommestad, T., Karlzén, H., and Hallberg, J. (2015). “The sufficiency of the theory of planned behavior for explaining information security policy compliance.” Information & Computer Security.
Sundaram, S., Schwarz, A., Jones, E., and Chin, W. W. (2007). “Technology use on the front line: How information technology enhances individual performance.” Journal of the Academy of Marketing Science, 35(1), 101–112.
Sykes, T. A., Venkatesh, V., and Gosain, S. (2009). “Model of acceptance with peer support: A social network perspective to understand employees’ system use.” MIS quarterly, 371–393.
Taib, S. M., De Coster, R., and Nyamu, J. (2016). “An Empirical Study on the Innovation Acceptance of Wearable Mobile Computing: Pervasive Computing Perspective.” International Journal of Chaotic Computing, 4(2), 96–102.
Tams, S., Thatcher, J. B., and Craig, K. (2018). “How and why trust matters in post-adoptive usage: The mediating roles of internal and external self-efficacy.” The Journal of Strategic Information Systems, 27(2), 170–190.
Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D. (2003). “User acceptance of information technology: Toward a unified view.” MIS quarterly, 425–478.
Wang, W., and Hsieh, J. (2006). “Beyond routine: Symbolic adoption, extended use, and emergent use of complex information systems in the mandatory organizational context.” ICIS 2006 Proc. Paper 48.
Yang, H., Yu, J., Zo, H., and Choi, M. (2016). “User acceptance of wearable devices: An extended perspective of perceived value.” Telematics and Informatics, 33(2), 256–269.
Information & Authors
Information
Published In
Construction Research Congress 2024
Pages: 916 - 925
History
Published online: Mar 18, 2024
ASCE Technical Topics:
- Business management
- Construction engineering
- Construction equipment
- Construction industry
- Construction management
- Employment
- Engineering fundamentals
- Equipment and machinery
- Human and behavioral factors
- Labor
- Measurement (by type)
- Occupational safety
- Personnel management
- Practice and Profession
- Public administration
- Public health and safety
- Safety
- Sensors and sensing
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.