Share:


Analysis of collaborative innovation behavior of megaproject participants under the reward and punishment mechanism

    Nana Liu Affiliation
    ; Guohua Zhou Affiliation

Abstract

Megaprojects are characterized by significant environmental uncertainty and technical complexity, which bring great challenges to engineering construction. Cross-organizational collaborative innovation is an important way to solve these problems. As the main body that understands the difficulties of the construction site and uses innovative products, the participation of megaproject participants is not only conducive to increasing innovation efficiency but also conducive to the application and promotion of innovative achievements. The collaborative innovation behavior of the participants in megaprojects under the reward and punishment incentive mechanism was studied. A game model between different participants was built by combining evolutionary game theory with prospect theory. Then, the dynamic evolution process of the collaborative innovation strategy of participants was analyzed, and the main factors affecting the evolutionary stability strategy of collaborative innovation through numerical simulation were examined. The research results indicate that reward and punishment incentives of collaborative innovation can encourage participants to choose the evolutionary stability strategy of participating in collaborative innovation from both objective and subjective aspects. Factors, such as the cost of participating, the synergy coefficient, the proportion of collaborative revenue distribution, and risk preference, can influence participants’ willingness to engage in collaborative innovation to different degrees.

Keyword : collaborative innovation, megaprojects, participants, reward and punishment mechanism, prospect theory, evolutionary game

How to Cite
Liu, N., & Zhou, G. (2022). Analysis of collaborative innovation behavior of megaproject participants under the reward and punishment mechanism. International Journal of Strategic Property Management, 26(3), 241-257. https://doi.org/10.3846/ijspm.2022.17151
Published in Issue
Aug 22, 2022
Abstract Views
518
PDF Downloads
350
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Bahadorestani, A., Karlsen, J. T., & Farimani, N. M. (2020). Novel approach to satisfying stakeholders in megaprojects: balancing mutual values. Journal of Management in Engineering, 36(2), 4019047. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000734

Barberis, N. C. (2013). Thirty years of prospect theory in economics: a review and assessment. Journal of Economic Perspectives, 27(1), 173–195. https://doi.org/10.1257/jep.27.1.173

Becker, S. W., & Brownson, F. O. (1964). What price ambiguity? Or the role of ambiguity in decision-making. Journal of Political Economy, 72, 62–73. https://doi.org/10.1086/258854

Brockmann, C., Brezinski, H., & Erbe, A. (2016). Innovation in construction megaprojects. Journal of Construction Engineering and Management, 142(11), 4016059. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001168

Bruzelius, N., Flyvbjerg, B., & Rothengatter, W. (2002). Big decisions, big risks. Improving accountability in mega projects. Transport Policy, 9(2), 143–154. https://doi.org/10.1016/S0967-070X(02)00014-8

Cantarelli, C. C. (2022). Innovation in megaprojects and the role of project complexity. Production Planning & Control, 33(9–10), 943–956. https://doi.org/10.1080/09537287.2020.1837934

Chen, H., Jin, Z., Su, Q., & Yue, G. (2020a). The roles of captains in megaproject innovation ecosystems: the case of the Hong Kong–Zhuhai–Macau Bridge. Engineering, Construction and Architectural Management, 28(3), 662–680. https://doi.org/10.1108/ECAM-01-2020-0076

Chen, H., Zeng, S., & Su, Q. (2020b). Towards management of panoramic innovation in megaprojects: the case of Hong Kong–Zhuhai–Macau Bridge project. Management World, 36(12), 212–227.

Davies, A., MacAulay, S., DeBarro, T., & Thurston, M. (2014). Making innovation happen in a megaproject: London’s Crossrail suburban railway system. Project Management Journal, 45(6), 25–37. https://doi.org/10.1002/pmj.21461

Dodgson, M., Gann, D., & Phillips, N. W. (2014). The Oxford handbook of innovation management. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199694945.001.0001

Dodgson, M., Gann, D., MacAulay, S., & Davies, A. (2015). Innovation strategy in new transportation systems: the case of Crossrail. Transportation Research Part A: Policy and Practice, 77, 261–275. https://doi.org/10.1016/j.tra.2015.04.019

Ercan, T. (2019). New three-part model of innovation activity in construction companies. Journal of Construction Engineering and Management, 145(5), 4019022. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001645

Fan, K., & Hui, E. C. M. (2020). Evolutionary game theory analysis for understanding the decision-making mechanisms of governments and developers on green building incentives. Building and Environment, 179, 106972. https://doi.org/10.1016/j.buildenv.2020.106972

Flyvbjerg, B., Garbuio, M., & Lovallo, D. (2009). Delusion and deception in large infrastructure projects: two models for explaining and preventing executive disaster. California Management Review, 51(2), 170–193. https://doi.org/10.2307/41166485

Friedman, D. (1998). On economic applications of evolutionary game theory. Journal of Evolutionary Economics, 8(1), 15–43. https://doi.org/10.1007/s001910050054

Gao, R., & Liu, J. (2019). Selection of government supervision mode of PPP projects during the operation stage. Construction Management and Economics, 37(10), 584–603. https://doi.org/10.1080/01446193.2018.1564347

Gil, N., Miozzo, M., & Massini, S. (2012). The innovation potential of new infrastructure development: an empirical study of Heathrow airport’s T5 project. Research Policy, 41(2), 452–466. https://doi.org/10.1016/j.respol.2011.10.011

He, H., Zheng, L., & Zhou, G. (2022). Linking users as private partners of utility tunnel public–private partnership projects. Tunnelling and Underground Space Technology, 119, 104249. https://doi.org/10.1016/j.tust.2021.104249

Hemström, K., Mahapatra, K., & Gustavsson, L. (2017). Architects’ perception of the innovativeness of the Swedish construction industry. Construction Innovation, 17(2), 244–260. https://doi.org/10.1108/CI-06-2015-0038

Jensen, M. C., & Meckling, W. H. (1976). Theory of the firm: managerial behavior, agency costs and ownership structure. Journal of Financial Economics, 4(3), 305–360. https://doi.org/10.1007/978-94-009-9257-3_8

Kahneman, D., & Tversky, A. (1979). Prospect theory: an analysis of decision under risk. Econometrica, 47(2), 263–291. https://doi.org/10.1142/9789814417358_0006

Kuksov, D., & Wang, K. (2014). The bright side of loss aversion in dynamic and competitive markets. Marketing Science, 33(5), 693–711. https://doi.org/10.1287/mksc.2014.0847

Li, B. Z., & Zeng, J. W. (2021). An analysis of the evolution of government and enterprise interaction in the perspective of resource endowment. Operations Research and Management Science, 30(4), 163–171.

Liu, J., & Ma, G. (2020). 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. https://doi.org/10.1108/ECAM-03-2020-0163

Liu, N., & Zhou, G. (2023). Evolutionary analysis of resource sharing of collaborative innovation in major infrastructure projects based on prospect theory. Journal of Industrial Engineering and Engineering Management, 37(3), 69–79.

Liu, Y., Fan, Z., & Zhang, Y. (2014). Risk decision analysis in emergency response: a method based on cumulative prospect theory. Computers and Operations Research, 42(2), 75–82. https://doi.org/10.1016/j.cor.2012.08.008

Ma, G., & Liu, J. (2020). Incentive problem of collaborative technology innovation in mega projects considering fairness preference. Journal of Shanghai University (Natural Science Edition), 5(26), 756–768. https://www.journal.shu.edu.cn/EN/10.12066/j.issn.1007-2861.2122

Manley, K. (2006). The innovation competence of repeat public sector clients in the Australian construction industry. Construction Management and Economics, 24(12), 1295–1304. https://doi.org/10.1080/01446190600934953

Maynard Smith, J., & Price, G. R. (1973). The logic of animal conflict. Nature, 246(5427), 15–18. https://doi.org/10.1038/246015a0

Owolabi, H. A., Oyedele, L. O., Alaka, H. A., Ajayi, S. O., Akinade, O. O., & Bilal, M. (2020). Critical success factors for ensuring bankable completion risk in PFI/PPP megaprojects. Journal of Management in Engineering, 36(1), 4019032. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000717

Ozorhon, B. (2013). Analysis of construction innovation process at project level. Journal of Management in Engineering, 29(4), 455–463. https://doi.org/10.1061/(ASCE)ME.1943-5479.0000157

Ozorhon, B., & Ora, K. (2016). Drivers of innovation in construction projects. Journal of Construction Engineering and Management, 143(4), 4016118. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001234

Romestant, F. (2020). Sustainability agencing: the involvement of stakeholder networks in megaprojects. Industrial Marketing Management, 89, 535–549. https://doi.org/10.1016/j.indmarman.2019.09.005

Sergeeva, N., & Zanello, C. (2018). Championing and promoting innovation in UK megaprojects. International Journal of Project Management, 36(8), 1068–1081. https://doi.org/10.1016/j.ijproman.2018.09.002

Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69(1), 99–118. https://doi.org/10.2307/1884852

Slaughter, E. S. (1998). Models of construction innovation. Journal of Construction Engineering and Management, 124(3), 226–231. https://doi.org/10.1061/(ASCE)0733-9364(1998)124:3(226)

Smith, J. M. (1974). The theory of games and the evolution of animal conflicts. Journal of Theoretical Biology, 47(1), 209–221. https://doi.org/10.1016/0022-5193(74)90110-6

Song, Y., Elsner, W., Zhang, Z., & Berger, R. (2020). Collaborative innovation and policy support: the emergence of trilateral networks. Applied Economics, 52(34), 3651–3668. https://doi.org/10.1080/00036846.2019.1708254

Tan, D., & Xu, H. (2020). Evolutionary equilibrium analysis of mass emergency derived from environmental pollution based on prospect theory. Operations Research and Management Science, 29(5), 161–170.

Tatum, C. B. (2018). Learning construction engineering: why, what, and how. Journal of Construction Engineering and Management, 144(3), 4018004. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001436

Turner, J. R., & Müller, R. (2003). On the nature of the project as a temporary organization. International Journal of Project Management, 21(1), 1–8. https://doi.org/10.1016/S0263-7863(02)00020-0

Tversky, A., & Kahneman, D. (1992). Advances in prospect theory: cumulative representation of uncertainty. Journal of Risk and Uncertainty, 5(4), 297–323. https://doi.org/10.1007/BF00122574

van Marrewijk, A., Clegg, S. R., Pitsis, T. S., & Veenswijk, M. (2008). Managing public–private megaprojects: paradoxes, complexity, and project design. International Journal of Project Management, 26(6), 591–600. https://doi.org/10.1016/j.ijproman.2007.09.007

von Neumann, J., & Morgenstern, O. (1944). Theory of games and economic behavior. Princeton University Press.

Winch, G. M. (2013). Escalation in major projects: lessons from the channel fixed link. International Journal of Project Management, 31(5), 724–734. https://doi.org/10.1016/j.ijproman.2013.01.012

Worsnop, T., Miraglia, S., & Davies, A. (2016). Balancing open and closed innovation in megaprojects: insights from Crossrail. Project Management Journal, 47(4), 79–94. https://doi.org/10.1177/875697281604700407

Wu, J., Wu, X., Li, P., Sheng, Y., & Shi, Q. (2017). Evolutionary game analysis of knowledge transfer in industry alliance based on cumulative prospect theory. Operations Research and Management Science, 26(3), 92–99.

Xue, F., Chen, G., Xie, H., & Zhang, L. (2021). Incentive contract design for collaborative innovation of megaproject under moral hazard. Systems Engineering, 39(4), 49–55.

Zeng, W., Wang, H., Li, H., Zhou, H., Wu, P., & Le, Y. (2019). Incentive mechanisms for supplier development in mega construction projects. IEEE Transactions on Engineering Management, 66(2), 252–265. https://doi.org/10.1109/TEM.2018.2808169

Zhang, H., Wang, J., & Tao, H. (2018). Research the decision-making behavior of investors based on prospect theory in the PPP Project. Soft Science, 32(8), 129–133. https://doi.org/10.13956/j.ss.1001-8409.2018.08.28

Zhang, J., & Liu, M. (2017). Supervise management on collusion between government and enterprise in water pollution control based on prospect theory. System Engineering, 35(2), 45–50.

Zhang, Y., Donohue, K., & Cui, T. H. (2015). Contract preferences and performance for the loss-averse supplier: buyback versus revenue sharing. Management Science, 62(6), 1734–1754. https://doi.org/10.1287/mnsc.2015.2182

Zhao, D., Ji, S., Wang, H., & Jiang, L. (2021). How do government subsidies promote new energy vehicle diffusion in the complex network context? A three-stage evolutionary game model. Energy, 230, 120899. https://doi.org/10.1016/j.energy.2021.120899

Zhou, G., Zhang, Y., Li, Y., & Zhao, G. (2012). Evolutionary game analysis of the behavior of construction safety management based on prospect theory. Journal of Systems and Management, 21(4), 501–509. https://doi.org/10.3969/j.issn.1005-2542.2012.04.009

Zhou, Y., & Liu, J. (2021). Influence of government credit risk on PPP projects in operation stage. International Journal of Strategic Property Management, 25(3), 216–227. https://doi.org/10.3846/ijspm.2021.14552

Zhu, Y. (2017). The Sichuan—Tibet railway construction challenges and countermeasures. China Communications Press.