A Multilevel Governance Model for Interorganizational Project Networks

Unterhitzenberger, Christine; Müller, Ralf; Vaagaasar, Anne Live; Ke, Yongjian; Alonderienė, Raimonda; Minelgaitė, Inga; Pilkienė, Margarita; Wang, Linzhuo; Zhu, Fei; Drouin, Nathalie; Chmieliauskas, Alfredas; Šimkonis, Saulius; Mongeon, Mylene

doi:10.1177/87569728221131254

Cited by 9 publications

(3 citation statements)

References 60 publications

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“…Moreover, the development of governance theory has given rise to various schools of thought such as network governance, meta-governance, and collaborative governance. Scholars like Cui et al (2020) [27] , Müller et al (2022) [28] , and Unterhitzenberger et al (2023) [29] have conducted extensive research on these topics.…”

Section: Research On Governance Modernizationmentioning

confidence: 99%

Measurement, Subsystem Coupling Coordination, and Spatial Convergence of the modernization of Chinese-style Governance Capability

Tian,

Jin

2023

Preprint

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Promoting the modernization of the national governance system and governance capability serves as a crucial conduit to expedite the process of Chinese-style modernization. Based on the study of the modernization of Chinese-style governance capability (MCGC), some findings are as follows: (1) The index of MCGC demonstrates a steady upward trend with noticeable regional disparities, ranking in descending order as eastern region > central region > northeastern region > western region. The region with the highest internal disparities in MCGC is the eastern, while the northeastern region has the lowest internal disparities. The greatest interregional disparity in MCGC is observed between the eastern and western regions. (2) The indices of the five major subsystems improve annually, yet the trajectories of them are not entirely consistent. (3) The five subsystems coupling coordination degree for MCGC displays a temporal characteristic of gradual improvement and a spatial feature of gradual decrease from the eastern coastal areas to the northwestern inland areas. (4) MCGC exhibits a significant positive spatial correlation, manifesting a spatial distribution pattern of “high-high” and “low-low” aggregation. What’s more, the MCGC follows a “smooth and gradual” process, without a “multilevel leapfrogging” trajectory. And the improvement of MCGC demonstrates spatial convergence.

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Section: Research On Governance Modernizationmentioning

confidence: 99%

Measurement, Subsystem Coupling Coordination, and Spatial Convergence of the modernization of Chinese-style Governance Capability

Tian,

Jin

2023

Preprint

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“…They are deliberately chosen for their overlap in skills and areas of specialization to substitute each other in case of skills or human resources needs, such as in solving unexpected problems. This task orientation in Type II governance provides for redundancy in skills and resilience in project execution (Unterhitzenberger et al, 2022) .…”

Section: Network Governancementioning

confidence: 99%

“…Studies by Unterhitzenberger et al (2022) quantitatively investigated the relationships between the three layers to identify the most influential elements, assuming a causality from the top to the bottom of the framework model. Here Metagovernance is assumed to be the most powerful and permanent form of governance, impacting GoN as the intermediate layer and Metagovernance and GoN jointly impacting the network governance layer.…”

Section: The Relationships Between the Three Governance Layersmentioning

confidence: 99%

From network governance to metagovernance

Müller

2023

Research Handbook on the Governance of Projects

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Inter-organizational networks have become the de-facto organization structure for the delivery of large projects. This chapter describes a three-layered framework for the governance of these networks, from the investor, via intermediate governance levels to the individual network for the delivery of a project. At its lowest level, the framework describes the governance of an inter-organizational network for the delivery of a project (i.e., network governance). Then it describes this network as one in a network of various networks each executing organization is involved. This network of networks requires governance (i.e.; governance of networks). These two governance layers rest on a set of ground rules imposed by the investor or government (i.e., metagovernance). The chapter describes the three-layered framework and elements, their interaction, and their impact on project performance. It ends with a theory on the framework's functioning.

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Coevolution of relationship networks and resistance behaviors for building information modeling implementation in construction projects

Shao,

Cao

2024

International Journal of Project Management

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A Multilevel Governance Model for Interorganizational Project Networks

Cited by 9 publications

References 60 publications

Measurement, Subsystem Coupling Coordination, and Spatial Convergence of the modernization of Chinese-style Governance Capability

Measurement, Subsystem Coupling Coordination, and Spatial Convergence of the modernization of Chinese-style Governance Capability

From network governance to metagovernance

Coevolution of relationship networks and resistance behaviors for building information modeling implementation in construction projects

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