Impact of Contractual Flexibility on BIM-Enabled PPP Project Performance during the Construction Phase

2022 ◽  
Vol 28 (1) ◽  
Author(s):  
Yongshun Xu ◽  
Heap-Yih Chong ◽  
Ming Chi
Keyword(s):  
MIS Quarterly ◽  
2015 ◽  
Vol 39 (4) ◽  
pp. 787-807 ◽  
Author(s):  
Narayan Ramasubbu ◽  
◽  
Anandhi Bharadwaj ◽  
Giri Kumar Tayi ◽  
◽  
...  

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.


2021 ◽  
Author(s):  
Marco Aurélio Oliveira ◽  
Luiz V. O. Dalla Valentina ◽  
André Hideto Futami ◽  
Osmar Possamai ◽  
Carlos Alberto Flesch

2021 ◽  
Vol 13 (13) ◽  
pp. 7380
Author(s):  
Hong Liu ◽  
Zhihua Liu ◽  
Yongzeng Lai ◽  
Lin Li

This study conducted a comprehensive and systematic investigation of the influencing factors for collaborative innovation project (CIP) performance. First, a theoretical framework model was constructed, and then a structural equation model (SEM) was used for an empirical analysis of 199 CIPs. Furthermore, we divided the factors into tangible and intangible categories and considered the impact mechanism of nine typical factors on project performance. The results are as follows: (1) All nine factors had a significant positive impact on the performance of collaborative innovation projects, among which benefit distribution and collaborative innovation capability were the most important. (2) Benefit distribution, resource dependence, organizational climate, and collaborative innovation affected project performance, both directly and indirectly. (3) Effective communication, leadership support, knowledge sharing, and collaborative innovation ability only had a direct influence, while the incentive mechanism played only an indirect role. Finally, three suggestions were put forward on the idea of high-quality, sustainable development.


2020 ◽  
Vol 51 (6) ◽  
pp. 670-684 ◽  
Author(s):  
Rodney Turner

Research on the governance of project management suggests governmentality and governance are associated with improved project performance. However, the mechanism is unknown. We propose that they influence decision making, which, in turn, improves performance. Few articles on governance comment directly on how governance influences decision making. We identify six areas of organizational psychology that influence decision making, and study what research on the governance of project management suggests about how governance influences those six areas. We review 36 articles on the governance of project management published in the past six years in the three main journals in project management.


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