The Mediating Role of Behavioral Intention in Safety Mechanism Adoption: A Research Protocol Based on UTAUT among Construction Workers in Guangdong, China

Authors

  • Chungang LI Universiti Tun Abdul Razak (UNIRAZAK)
  • Cheok Mui Yee Universiti Tun Abdul Razak (UNIRAZAK)

Abstract

This research protocol presents a comprehensive study investigating the determinants of safety mechanism adoption among frontline construction workers in Guangdong Province, China, grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT). Despite substantial investments in smart safety technologies (e.g., IoT-enabled wearables, AI hazard detection systems, real-time monitoring platforms), adoption rates remain critically low (38%), contributing to persistently high accident rates (1,232 fatalities in 2023) and annual economic losses of ¥18.7 billion. The study focuses on the mediating role of behavioral intention in the relationship between facilitating conditions and actual adoption behavior—a pathway that remains underexplored in construction safety literature. Adopting a quantitative, cross-sectional design, the research will collect data from a stratified random sample of 450 field workers across 20 construction firms (state-owned, private, and subcontractors) representing Guangdong’s geographic diversity (Pearl River Delta, Eastern, Western, Northern regions). A structured questionnaire based on validated UTAUT scales will be administered online via the Wenjuanxing platform. Data will be analyzed using partial least squares structural equation modeling (PLS-SEM) with SmartPLS 4.0, including measurement model assessment (reliability, convergent and discriminant validity) and structural model testing (path coefficients, R², f², Q², and mediation via bootstrapping). Expected outcomes include significant positive effects of performance expectancy, social influence, and facilitating conditions on intention; a strong direct effect of intention on adoption behavior; and a partial mediation of intention in the facilitating conditions–adoption link. The study extends UTAUT by challenging the assumption that facilitating conditions directly drive behavior without intention in low-voluntariness contexts. Practical implications for Guangdong’s 2025 Safety Production initiatives and age‑tailored training programs are discussed. Limitations include cross-sectional design and geographic confinement.

References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211

Al-Emran, M., Mezhuyev, V., & Kamaludin, A. (2018). Technology acceptance model in M-learning context: A systematic review. Computers & Education, 125, 389–412.

Al-Emran, M., Arpaci, I., & Salloum, S. A. (2021). An empirical examination of continuous intention to use m-learning: An integrated model. Education and Information Technologies, 26(6), 7289–7308.

Alghamdi, A., Al-Hudhaif, S., & Al-Harbi, M. (2021). Wearable safety technologies in construction: A UTAUT-based study. Safety Science, 142, 105387.

Ali, M., Li, S., & Zhang, Y. (2025). Adoption of wearable sensible devices in construction: Extending UTAUT. Automation in Construction, 160, 105289.

American Psychological Association. (2017). Ethical principles of psychologists and code of conduct. APA.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall.

Bandura, A. (1997). Self-efficacy: The exercise of control. Freeman.

Brislin, R. W. (1986). The wording and translation of research instruments. In W. J. Lonner & J. W. Berry (Eds.), Field methods in cross-cultural research (pp. 137–164). Sage.

Chen, Y., & Huang, L. (2022). Challenges of longitudinal research in migrant construction worker populations. Field Methods, 34(2), 145–160.

Chen, Y., & Wang, L. (2023). Factors influencing wearable safety device adoption in Chinese construction sites: A UTAUT perspective. Safety Science, 158, 105991.

Chen, Y., Li, J., & Zhang, W. (2024). Willingness to accept metaverse safety training for construction workers based on extended UTAUT. Frontiers in Public Health, 11, 1294203.

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum.

Chungang, L., Zhuolin, Z., Yee, C. M., & Kharuddin, A. F. (2025). Analysing behaviour of safety technologies in construction: An empirical study using the UTAUT model in Guangdong Province, China. Malque Scientific Journal, 8(6), e2026374.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111–1132.

Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11(4), 227–268.

Deng, X., Li, S., & Liu, Y. (2021). Sampling strategies for transient construction workers: Lessons from Guangdong. Journal of Construction Engineering and Management, 147(8), 04021067.

Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282.

Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): A systematic review. Information Systems Frontiers, 21(3), 719–734.

Faul, F., Erdfelder, E., Lang, A. G., & Buchner, A. (2007). GPower 3: A flexible statistical power analysis program. Behavior Research Methods, 39(2), 175–191.

Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention, and behavior: An introduction to theory and research. Addison-Wesley.

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50.

Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101–107.

Guangdong Bureau of Statistics. (2023). Guangdong statistical yearbook 2023. China Statistics Press.

Guangdong Department of Housing and Urban-Rural Development. (2025a). Notice on promoting the use of “Guidelines for preventing falls from heights in Guangdong’s housing and municipal engineering projects” (Yue Jian Zhi No. 2025‑240). Guangdong Provincial Government.

Guangdong Department of Housing and Urban-Rural Development. (2025b). Notice on converting the “Regulations on assigning primary quality and safety responsibility to housing and municipal engineering construction units” from trial implementation to official implementation (Yue Jian Gui Fan No. 2025‑3). Guangdong Provincial Government.

Guangdong Department of Housing and Urban-Rural Development. (2025c). Notice on implementing the measures for establishing safety production management institutions and assigning safety management personnel in construction enterprises and projects (Yue Jian Zhi No. 2025‑269). Guangdong Provincial Government.

Guangdong Emergency Management Department. (2025). Chart analysis: Overview of production safety accidents in Guangdong Province, January–September 2025. Guangdong Provincial Government.

Guangdong Human Resources Bureau. (2023). Annual report on occupational injuries and economic losses. Guangdong Provincial Government.

Guangdong Provincial Government. (2023). Safety production ordinance of Guangdong Province. Guangdong Provincial Government.

Guangdong Provincial Safety Commission. (2025). Action plan for Guangdong Province’s 2025 “Hidden Hazard Investigation and Governance Year”. Guangdong Provincial Government.

Guangdong SME Bureau. (2023). Safety technology investment survey of small and medium construction enterprises in Guangdong. Guangdong Provincial Government.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage Publications.

Hayes, A. F. (2018). Introduction to mediation, moderation, and conditional process analysis (2nd ed.). Guilford Press.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135.

Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis. Structural Equation Modeling, 6(1), 1–55.

Huang, X., Liu, Y., & Chen, Z. (2023). Facilitating conditions and PPE compliance in Shenzhen construction projects. Journal of Safety Research, 85, 201–213.

Kish, L. (2020). Survey sampling. Wiley (Classic reprint).

Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). Guilford Press.

Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of e-Collaboration, 11(4), 1–10.

Kummer, T. F., Schäfer, K., & Todorova, N. (2013). Acceptance of hospital information systems: A study of the UTAUT model. Health Policy and Technology, 2(3), 134–142.

Li, J., Zhang, C., & Wang, H. (2024). Construction workers’ behavioral intention toward a passive back-support exoskeleton: Application and extension of UTAUT model. In Construction Research Congress 2024 (pp. 738–747). American Society of Civil Engineers.

Li, S., & Zhang, Y. (2023). Social influence and safety technology adoption among migrant construction workers in Guangdong. Journal of Construction Engineering and Management, 149(4), 04023012.

Li, X., Wang, L., & Liu, Y. (2023). The role of facilitating conditions in construction safety technology adoption: Direct and indirect effects. Accident Analysis & Prevention, 183, 106982.

Lin, X., & Sun, J. (2021). Voluntariness of use and social influence in construction safety app adoption. Journal of Civil Engineering and Management, 27(6), 412–425.

Little, R. J. A. (1988). A test of missing completely at random for multivariate data with missing values. Journal of the American Statistical Association, 83(404), 1198–1202.

Liu, X., Wang, L., & Chen, Y. (2023). The intention-behavior gap in construction safety technology adoption: A longitudinal study. Safety Science, 162, 106089.

Ministry of Emergency Management. (2024). National construction safety statistics 2023. China Emergency Press.

Ministry of Housing and Urban-Rural Development. (2024). China construction safety report 2023. MOHURD.

National Development and Reform Commission. (2021). The 14th Five-Year Plan for national economic and social development of the People’s Republic of China. NDRC.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill

Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689–703.

Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539–569.

Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods, 40(3), 879–891.

Ringle, C. M., Wende, S., & Becker, J. M. (2022). SmartPLS 4. SmartPLS GmbH.

Rogers, E. M. (2003). Diffusion of innovations (5th ed.). Free Press.

Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7(2), 147–177.

Sheeran, P., & Webb, T. L. (2016). The intention–behavior gap. Social and Personality Psychology Compass, 10(9), 503–518.

Shen, L., Zhang, Z., & Long, R. (2023). UTAUT applications in developing economies: A systematic review. Technology in Society, 72, 102187.

Shin, J., Kim, S., & Lee, J. (2024). Unlocking determinants of smart construction: An integrated model of UTAUT2, TTF, and perceived risk for IoT acceptance in AEC industry. Journal of Building Engineering, 85, 108632.

State Council of China. (2021). National work safety rectification plan (2021–2025). State Council Document No. 23.

Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society: Series B, 36(2), 111–133.

Tang, L., & Zhou, Q. (2024). Age-related barriers to digital safety technology adoption in China’s construction industry. Journal of Safety Research, 88, 245–258.

Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144–176.

Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1), 125–143.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178.

Wang, L., Liu, X., & Chen, Y. (2021). Job characteristics and safety technology adoption: A moderation analysis. Journal of Safety Research, 79, 212–223.

Williams, M. D., Rana, N. P., & Dwivedi, Y. K. (2015). The unified theory of acceptance and use of technology (UTAUT): A systematic review. Journal of Enterprise Information Management, 28(3), 443–488.

Wu, X., Zhang, L., & Li, H. (2020). Social influence and mobile safety app adoption among Chinese construction workers. Safety and Health at Work, 11(3), 312–319.

Wu, X., Zhang, L., & Li, H. (2023). Voice-command interfaces for low-literacy construction workers: A UTAUT study. Automation in Construction, 145, 104635.

Xu, J., Wang, L., & Li, S. (2021). Understanding the intention-behavior gap in construction safety: A situational perspective. Accident Analysis & Prevention, 156, 106118.

Yin, S., Li, H., & Wang, X. (2021). Collectivist culture and safety compliance in Chinese construction teams. Journal of Construction Engineering and Management, 147(5), 04021034.

Zhang, F., & Cheng, L. (2024). Intersectional analysis of safety technology adoption among construction workers in Guangdong. Safety Science, 170, 106359.

Zhang, Y., Liu, X., & Chen, W. (2022). User-centered design for older construction workers: A UTAUT study. Gerontechnology, 21(2), 145–158.

Zhang, Y., Liu, X., & Chen, W. (2024). Digital transformation of China’s construction industry: A systematic review. Automation in Construction, 158, 105215.

Zhou, Q., & Tang, L. (2022). Extending UTAUT for construction safety technology adoption: A research agenda. Journal of Civil Engineering and Management, 28(5), 341–355.

Downloads

Published

23-05-2026

Issue

Section

Articles