Factors Influencing BIM Integration with Emerging Technologies: Knowledge Coupling Perspective

Jia, Jianyao; Zhang, Mengyu; Yang, Gaosheng

doi:10.1061/(asce)me.1943-5479.0001018

Cited by 12 publications

(74 citation statements)

References 69 publications

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Section: Introductionmentioning

confidence: 99%

“…However, many PBOs are characterised by interface-related difficulties (Malla and Delhi, 2022), vague (loose/incidental) networks (Lello et al, 2023b;Wang et al, 2023), distrust-based relationships (Cheng et al, 2023;Zimmermann et al, 2020), procedural and self-reinforcement structures (Jia et al, 2022;Ozawa, 2023). These mechanistic, inflexible and traditional norms seem to hamper the formation of new dynamic knowledge networks (Chen et al, 2021;Jia et al, 2022;Khaksar et al, 2023). This deficiency weakens PBOs' intentional networking efforts to KNI within CSSC networks identify, access, acquire/seize, integrate, create, use/apply and reuse the created knowledge (Fawad Sharif et al, 2023;Lello et al, 2023b;Zhang et al, 2023;Zhao et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Drawing on knowledge inertia theory, we contend that knowledge inertia (KI) may act as a potential predicament affecting KNI. It affects firms' intentional attitudes toward searching for and allocating knowledge resources (Jia et al, 2022;Ye et al, 2021;Zhang et al, 2023). KI is characterised by the use of routine problem-solving procedures, stagnant knowledge sources and dependence on past experience or knowledge especially when handling new situations (Fu et al, 2021;Jia et al, 2022;Xie et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…In addition, most of these studies (e.g. Jia et al, 2022;Khamaksorn et al, 2022;Papa et al, 2021;Sun et al, 2019) are dominated by inbound (direct/core) network partners. Moreover, one of the main characteristics of PBOs is the "contextual embeddedness of temporary systems in the more permanent" frameworks (Pemsel et al, 2014(Pemsel et al, , p. 1416.…”

Section: Introductionmentioning

confidence: 99%

“…This study theoretically and empirically contributes to the knowledge inertia theory by examining the effects of KI on KNI. While it unpacks how KI behaviours negatively impact KNI, it provides a nuanced understanding of how resourceful relational ties and knowledge coupling aims can be jeopardised in the presence of a non-supportive organisational cultural framework that encompasses all practices, values, norms, goals, beliefs, routines, etc (Jia et al, 2022;Khaksar et al, 2023;Ozawa, 2023). Secondly, by integrating KG as a moderating variable into the research model, we draw practical implications for managers, empowering their capability to allocate strategic knowledge resources and balance the negative effects of KI on KNI.…”

Section: Introductionmentioning

confidence: 99%

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Knowledge ambidexterity in construction project-based organizations: predicaments of knowledge networking intention within outbound consultant-supplier interfaces

Lello,

Huang,

Kansheba

2024

IJMPB

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PurposeAgenda for knowledge creation within inter-project alliances and inter-firm supply chain networks has been extensively debated. However, the existing knowledge networks within consultant-supplier interfaces in the architecture, engineering and construction (AEC) industry seem to be vague, loose, incidental and insignificant. This study examines factors affecting knowledge networking intention (KNI) within construction service supply chain (CSSC) networks.Design/methodology/approachData analysis was conducted on a quantitative survey of 161 consulting professional service firms in Tanzania, employing stepwise regression modelling as the statistical technique.FindingsThe results indicate that three types of knowledge inertia (KI) exert varying effects on KNI. While both procedural (PI) and learning inertia (LI) negatively impact KNI, experience inertia (EI) has no impact on KNI. In addition, knowledge governance (KG) mechanisms are found to strongly strengthen and leverage the negative effects of PI and LI on KNI and the positive link between EI and KNI within outbound and heterogeneous CSSC actors, with formal KG having greater leverage than informal KG.Practical implicationsThe study offers guidance on how managers of PBOs should strategically orchestrate knowledge governance mechanisms within CSSC networks to leverage KI behaviours.Originality/valueCurrent literature on KNI, KI and KG within CSSC networks offers a limited understanding of how KI behaviours influence KNI of project-based organizations (PBOs) in tapping vibrant outbound peripheral knowledge. The research presents two major original contributions. First, the empirical evidence contributes to deepening the current understanding of how heterogeneous external knowledge within consultant-supplier interactions is negatively influenced by KI. Lastly, the study suggests formal and informal knowledge governance strategies for managers on how to counteract KI forces, thus extending the theoretical debate on KNI, KI and KG literature.

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