Technological innovation cooperative behavior analysis for mega construction projects based on TPB

    Zhenxu Guo Affiliation
    ; Qing’e Wang Affiliation


Due to the complex nature of mega construction projects (MCPs), technological innovation risks have significantly increased. Cooperation is widely accepted as a proactive approach to resolving these risks. An in-depth study of technological innovation cooperative behavior (TICB) helps understand the underlying reasons, but studies need to pay more attention to it. This study explored the factors affecting TICB for MCPs and developed a conceptual model based on the Theory of planned behavior (TPB). It established a structural equation model to verify the relationship between influencing factors. An example verified the feasibility of the model. The results show that cooperative attitude, subjective cooperative norm, perceived cooperative behavior control, and cooperative scenarios positively affect cooperative behavior through cooperative intention. Cooperative attitude plays a mediating role between cooperative scenarios and cooperative intention. Perceived cooperative behavior control has no direct effect on cooperative behavior. This study provides a theoretical reference to guide future empirical studies and enriches the knowledge of TICB for MCPs.

Keyword : technological innovation, cooperative behavior, mega construction projects, theory of planned behavior, structural equation model

How to Cite
Guo, Z., & Wang, Q. (2024). Technological innovation cooperative behavior analysis for mega construction projects based on TPB. Journal of Civil Engineering and Management, 30(6), 494–507.
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Jul 4, 2024
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This work is licensed under a Creative Commons Attribution 4.0 International License.


Adriaanse, A., Voordijk, H., & Dewulf, G. (2010). Adoption and use of interorganizational ICT in a construction project. Journal of Construction Engineering and Management, 136(9), 1003–1014.

Ajzen, I. (2020). The theory of planned behavior: Frequently asked questions. Human Behavior and Emerging Technologies, 2(4), 314–324.

Ajzen, I., & Kruglanski, A. W. (2019). Reasoned action in the service of goal pursuit. Psychological Review, 126(5), 774–786.

Aladag, H., & Isik, Z. (2019). Design and construction risks in BOT type mega transportation projects. Engineering, Construction and Architectural Management, 26(10), 2223–2242.

Aladag, H., & Isik, Z. (2020). The effect of stakeholder-associated risks in mega-engineering projects: A case study of a PPP airport project. IEEE Transactions on Engineering Management, 67(1), 174–186.

Ashaduzzaman, M., Jebarajakirthy, C., Weaven, S. K., Maseeh, H. I., Das, M., & Pentecost, R. (2022). Predicting collaborative consumption behaviour: a meta-analytic path analysis on the theory of planned behaviour. European Journal of Marketing, 56(4), 968–1013.

Betts, K. R., Hinsz, V. B., & Heimerdinger, S. R. (2011). Predicting intentions of romantic partner abuse with the theory of planned behavior. Current Psychology, 30(2), 130–147.

Cai, L., Ma, Z., & Li, Z. (2020). Cooperative research and development behavior in technology-based small enterprises: The formation mechanism. Social Behavior and Personality, 48(4), 1–15.

Chen, D., Xiang, P., Jia, F., Zhang, J., & Liu, Z. (2020). An indicator system for evaluating operation and maintenance management of mega infrastructure projects in China. International Journal of Environmental Research and Public Health, 17(24), Article 9589.

Coenen, L., & Lopez, F. J. D. (2010). Comparing systems approaches to innovation and technological change for sustainable and competitive economies: an explorative study into conceptual commonalities, differences and complementarities. Journal of Cleaner Production, 18(12), 1149–1160.

Delbufalo, E. (2015). Subjective trust and perceived risk influences on exchange performance in supplier-manufacturer relationships. Scandinavian Journal of Management, 31(1), 84–101.

Dong, R.-R., & Martin, A. (2017). Research on barriers and government driving force in technological innovation of architecture based on BIM. Eurasia Journal of Mathematics Science and Technology Education, 13(8), 5757–5763.

Du, F., Bahaddad, A. A., & Kharabsheh, R. (2022). Analysis of enterprise management technology and innovation based on multilinear regression model. Applied Mathematics and Nonlinear Sciences, 7(2), 523–532.

Flyvbjerg, B. (2014). What you should know about megaprojects and why: An overview. Project Management Journal, 45(2), 6–19.

Gemser, G., & Leenders, M. A. A. M. (2011). Managing cross-functional cooperation for new product development success. Long Range Planning, 44(1), 26–41.

Hagger, M. S., Chan, D. K. C., Protogerou, C., & Chatzisarantis, N. L. D. (2016). Usingmeta-analytic path analysis to test theoretical predictions in health behavior: An illustration based on meta-analyses of the theory of planned behavior. Preventive Medicine, 89, 154–161.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433.

Hau, Y. S., & Kim, Y.-G. (2011). Why would online garners share their innovation-conducive knowledge in the online game user community? Integrating individual motivations and social capital perspectives. Computers in Human Behavior, 27(2), 956–970.

Helm, R., & Kloyer, M. (2004). Controlling contractual exchange risks in R&D interfirm cooperation: an empirical study. Research Policy, 33(8), 1103–1122.

Hu, R., & Diao, X. (2021). Exploring the open innovation information spillover effect: conceptual framework construction and exploratory analysis. IEEE Access, 9, 93734–93744.

Huang, L., Li, Y., Huang, X., & Zhou, L. (2021). How social distance affects the intention and behavior of collaborative consumption: A study based on online car-hailing service. Journal of Retailing and Consumer Services, 61, Article 102534.

Jain, S., Singhal, S., Jain, N. K., & Bhaskar, K. (2020). Construction and demolition waste recycling: Investigating the role of theory of planned behavior, institutional pressures and environmental consciousness. Journal of Cleaner Production, 263, Article 121405.

Johnson, S. E., & Hall, A. (2005). The prediction of safe lifting behavior: An application of the theory of planned behavior. Journal of Safety Research, 36(1), 63–73.

Jones, S. L., Leiponen, A., & Vasudeva, G. (2021). The evolution of cooperation in the face of conflict: Evidence from the innovation ecosystem for mobile telecom standards development. Strategic Management Journal, 42(4), 710–740.

Lee, S. J., & Kim, H. L. (2018). Roles of perceived behavioral control and self-efficacy to volunteer tourists’ intended participation via theory of planned behavior. International Journal of Tourism Research, 20(2), 182–190.

Li, C., & Wang, S. (2022). Digital optimization, green R&D collaboration, and green technological innovation in manufacturing enterprises. Sustainability, 14(19), Article 12106.

Li, J., Zuo, J., Cai, H., & Zillante, G. (2018). Construction waste reduction behavior of contractor employees: An extended theory of planned behavior model approach. Journal of Cleaner Production, 172, 1399–1408.

Liao, Z., & Long, S. (2019). Can interfirm trust improve firms’ cooperation on environmental innovation? The moderating role of environmental hostility. Business Strategy and the Environment, 28(1), 198–205.

Liu, J., & Ma, G. (2021). Study on incentive and supervision mechanisms of technological innovation in megaprojects based on the principal-agent theory. Engineering, Construction and Architectural Management, 28(6), 1593–1614.

Long, X., Chen, Y., Du, J., Oh, K., Han, I., & Yan, J. (2017). The effect of environmental innovation behavior on economic and environmental performance of 182 Chinese firms. Journal of Cleaner Production, 166, 1274–1282.

Neto, I. L., Matsunaga, L. H., Machado, C. C., Gunther, H., Hillesheim, D., Pimentel, C. E., Vargas, J. C., & D’Orsi, E. (2020). Psychological determinants of walking in a Brazilian sample: An application of the theory of planned behavior. Transportation Research Part F: Traffic Psychology and Behaviour, 73, 391–398.

Ma, C.-A., Xiao, R., Chang, H.-Y., & Song, G.-R. (2022). Founder management and innovation: An empirical analysis based on the theory of planned behavior and fuzzy-set qualitative comparative analysis. Frontiers In Psychology, 13, Article 827448.

Ma, L., & Fu, H. (2020). Exploring the influence of project complexity on the mega construction project success: a qualitative comparative analysis (QCA) method. Engineering, Construction and Architectural Management, 27(9), 2429–2449.

Nieto, J. M., & Santamaria, L. (2010). Technological collaboration: Bridging the innovation gap between small and large firms. Journal of Small Business Management, 48(1), 44–69.

Noktehdan, M., Shahbazpour, M., Zare, M. R., & Wilkinson, S. (2019). Innovation management and construction phases in infrastructure projects. Journal of Construction Engineering and Management, 145(2), Article 04018135.

Ozorhon, B. (2013). Response of construction clients to low-carbon building regulations. Journal of Construction Engineering and Management, 139(12), Article A5013001.

Peng, L., & Chan, A. H. S. (2019). Exerting explanatory accounts of safety behavior of older construction workers within the theory of planned behavior. International Journal of Environmental Research and Public Health, 16(18), Article 3342.

Scuotto, V., Beatrice, O., Valentina, C., Nicotra, M., Di Gioia, L., & Briamonte, M. F. (2020). Uncovering the micro-foundations of knowledge sharing in open innovation partnerships: An intention-based perspective of technology transfer. Technological Forecasting and Social Change, 152, Article 119906.

Segarra-Cipres, M., Roca-Puig, V., & Carlos Bou-Llusar, J. (2014). External knowledge acquisition and innovation output: an analysis of the moderating effect of internal knowledge transfer. Knowledge Management Research & Practice, 12(2), 203–214.

Sendstad, L. H., Chronopoulos, M., & Hagspiel, V. (2023). Optimal risk adoption and capacity investment in technological innovations. IEEE Transactions on Engineering Management, 40(2), 576–589.

Shou, Y., Shan, X., Dai, J., Xu, D., & Che, W. (2023). Actions speak louder than words? The impact of subjective norms in the supply chain on green innovation. International Journal of Operations & Production Management, 43(6), 879–898.

Shukra, Z. A., Zhou, Y., & Wang, L. (2021). An adaptable conceptual model for construction technology transfer: The BRI in Africa, the case of Ethiopia. Sustainability, 13(6), Article 3376.

Sparrevik, M., Wangen, H. F., Fet, A. M., & De Boer, L. (2018). Green public procurement - A case study of an innovative building project in Norway. Journal of Cleaner Production, 188, 879–887.

Sun, J., & Zhang, P. (2011). Owner organization design for mega industrial construction projects. International Journal of Project Management, 29(7), 828–833.

Wang, Y., Shen, C., Zuo, J., & Rameezdeen, R. (2021). Same tune, different songs? Understanding public acceptance of mega construction projects: A comparative case study. Habitat International, 118, Article 102461.

Xiong, C., Chang, V., Scuotto, V., Shi, Y., & Paoloni, N. (2021). The social-psychological approach in understanding knowledge hiding within international R&D teams: An inductive analysis. Journal of Business Research, 128, 799–811.

Yan, L., Guo, L., & Ning, Y. (2020). Understanding construction contractors’ intention to undertake consummate performance behaviors in construction projects. Advances in Civil Engineering, 2020, Article 3935843.

Yang, R., Yue, C., Li, J., Zhu, J., Chen, H., & Wei, J. (2020). The influence of information intervention cognition on college students’ energy-saving behavior intentions. International Journal of Environmental Research and Public Health, 17(5), Article 1659.

Yi, H., & Zhang, Q. (2022). Knowledge-sharing strategies of university-industry alliances promoting green technology innovation in ecosystems: Based on the utility of multichannel funding. IEEE Access, 10, 65728–65743.

Yuan, H., Wu, H., & Zuo, J. (2018). Understanding factors influencing project managers’ behavioral intentions to reduce waste in construction projects. Journal of Management in Engineering, 34(6), Article 04018031.

Zaman, U., Florez-Perez, L., Anjam, M., Khwaja, M. G., & Ul-Huda, N. (2022). At the end of the world, turn left: examining toxic leadership, team silence and success in mega construction projects. Engineering, Construction and Architectural Management, 30(6), 2436–2462.

Zhang, G., & Tang, C. (2017). How could firm’s internal R & D collaboration bring more innovation?. Technological Forecasting and Social Change, 125, 299–308.

Zhang, Y., Wang, Y., & Yao, H. (2022). How does the embeddedness of relational behaviours in contractual relations influence inter-organisational trust in construction projects? Engineering, Construction and Architectural Management, 29(1), 222–244.

Zhao, S., Yu, H., Xu, Y., & Bi, Z. (2014). Relationship-specific investment, value creation, and value appropriation in cooperative innovation. Information Technology & Management, 15(2), 119–130.

Zhao, L., Mbachu, J., & Liu, Z. (2022). Developing an integrated BIM plus GIS web-based platform for a mega construction project. KSCE Journal of Civil Engineering, 26(4), 1505–1521.

Zheng, X., Lu, Y., Le, Y., Li, Y., & Fang, J. (2018). Formation of interorganizational relational behavior in megaprojects: Perspective of the extended theory of planned behavior. Journal of Management In Engineering, 34(1), Article 04017052.

Zhu, J., Fang, M., Shi, Q., Wang, P., & Li, Q. (2018). Contractor cooperation mechanism and evolution of the green supply chain in mega projects. Sustainability, 10(11), Article 4306.

Zhu, J., Hertogh, M., Zhang, J., Shi, Q., & Sheng, Z. (2020). Incentive mechanisms in mega project-risk management considering owner and insurance company as principals. Journal of Construction Engineering and Management, 146(10), Article 04020120.

Zhu, S., Hagedoorn, J., Zhang, S., & Liu, F. (2021). Effects of technological distance on innovation performance under heterogeneous technological orientations. Technovation, 106, Article 102301.