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Enhancing collaboration in BIM-based construction networks through organisational discontinuity theory: a case study of the new Royal Adelaide Hospital

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This paper discusses a case study of Australia’s most technologically advanced health facility to address an identified gap in the body of the knowledge. That is, no comprehensive study has hitherto attempted to draw upon virtual team working theories to enhance collaboration in BIM-based construction networks (BbCNs). In response to this, the present study seeks to raise awareness of organisational discontinuity theory (ODT) as a recent theory for virtual teams, which enables BbCNs to embrace collaboration. To this end, the major challenges encountered and corresponding solutions adopted on a mega-project have been closely monitored and investigated. The study contributes to the field through the conceptualisation of typical barriers to collaboration in BbCNs from the perspective of ODT. Additionally, the discussions presented outline practical implications by demonstrating how the identified issues of collaboration in BbCNs could be effectively dealt with. Keywords: Collaboration; building information modelling; organisational discontinuity theory; virtual teams
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... As such, BIM applications for architectural design tend to focus on performance analysis and evaluation (Donato et al. 2018;Utkucu and Sözer 2020). In contrast, BIM collaboration in the construction industry has been a popular research topic, dealing with challenges and opportunities (Khosrowshahi and Arayici 2012;Mignone et al. 2016), complex projects (Kassem et al. 2015;Okakpu et al. 2020), and BIM requirements and corresponding functions (Alreshidi et al. 2018;Patacas et al. 2020). In this context, advancing BIM collaboration in a construction project requires: (1) legal/contractual considerations, (2) training/education on collaboration, (3) enhancing technology, and (4) developing protocols and standards (Mignone et al. 2016). ...
... In contrast, BIM collaboration in the construction industry has been a popular research topic, dealing with challenges and opportunities (Khosrowshahi and Arayici 2012;Mignone et al. 2016), complex projects (Kassem et al. 2015;Okakpu et al. 2020), and BIM requirements and corresponding functions (Alreshidi et al. 2018;Patacas et al. 2020). In this context, advancing BIM collaboration in a construction project requires: (1) legal/contractual considerations, (2) training/education on collaboration, (3) enhancing technology, and (4) developing protocols and standards (Mignone et al. 2016). Likewise, key factors enabling BIM collaboration can be BIM contracts, the BIM learning environment, cloud computing infrastructure, change agents, and new roles and responsibilities (Merschbrock and Munkvold 2015). ...
... This methodology was specifically chosen as it can develop rich, detailed results around technology use and human experience. Most past BIM research has used case studies in various countries (Barlish and Sullivan 2012;Kassem et al. 2015;Lin 2014;Merschbrock and Munkvold 2015;Mignone et al. 2016;Poirier et al. 2017) and questionnaires in the the architecture, engineering, and construction (AEC) industry (Al-Ashmori et al. 2020;Azhar and Brown 2009;Charef et al. 2018;Lee et al. 2015). Many focus-group and/or expert interviews have also been conducted to examine BIM implementation in the construction industry (Baek et al. 2019;Liu et al. 2017;Lu et al. 2018;Patacas et al. 2020). ...
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... This finding is partly justified by Schein (1994), who said that the ability to innovate in an organization is enhanced by adopting a participative and collegial authority system. However, Mignone et al. (2016) pointed that autocratic leadership is necessary in a BIM setting, focusing on tasks, roles, and goals. This explains the element of autocracy present in the BIMenabled construction company. ...
... Furthermore, this finding contradicts the work of Rameezdeen and Gunarathna (2003), who studied the organizational culture of contractors and emphasized competitive orientation in employee relationships. However, the inherited collaborative working style enabled by BIM can be affected to create a cooperative environment within the organization (Mignone et al. 2016). This can also be attributed to the team-oriented approach in CS, which is apparent in the belief that the best way to organize is groupism. ...
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... Diversity has been considered to be responsible for conflicts, miscommunication and lack of cohesion in virtual teams (Al Zain et al., 2018;Mignone et al., 2016;Wickramasinghe and Nandula, 2015) and also for reducing effectiveness (Plotnick et al., 2016). On the other hand, Batarseh et al. (2018) concluded that higher levels of functional diversity are positively correlated with innovation. ...
... Al Zain et al. (2018),Batarseh et al. (2018),Bjorvatn and Wald (2019), Dumitraşcu-Băldău and Dumitraşcu (2019),Gibbs et al. (2017),Gilson et al. (2015),Henderson et al. (2016),Hoegl and Muethel (2016),Mignone et al. (2016),Morley et al. (2015),Plotnick et al. (2016),Radović-Marković et al. (2015),Shaik and Makhecha (2019) andWickramasinghe and Nandula (2015) Crowne(2020), Eubanks et al. (2016), Graham et al. (2016), Orta-Castañon et al. (2018), Paul et al. (2016), Taras et al. (2019), Tavoletti et al. (2019), Velez-Calle et al. (2020), Zakaria and Mohd Yusof (2020) Technology Al Zain et al. (2018), Artem et al. (2019), Bjorvatn and Wald (2019), Bond-Barnard et al. (2016), Dumitraşcu-Băldău and Dumitraşcu (2019), Gilson et al. (2015), Großer and Baumöl (2019), Kanagarajoo et al. (2019), Lumseyfai (2020), Mukherjee and Natrajan (2017), Oraee et al. (2019), Rozman et al. (2017), Shaik and Makhecha (2019), Stray et al. (2019) and Toro et al. (2020) Aritz et al. (2018), Crowne (2020) and Orta-Castañon et al. (2018) Leadership Al Zain et al. (2018), Fernandez and Jawadi (2015), Gilson et al. (2015), Hoegl and Muethel (2016), Maduka et al. (2018), Radović-Marković et al. (2015) and Toro et al. (2020) Eubanks et al. (2016), Iorio and Taylor (2015) and Purvanova et al. (2021) Communication Blenke et al. (2017), Bond-Barnard et al. (2016), Dumitraşcu-Băldău and Dumitraşcu (2019), Gilson et al. (2015), Henderson et al. (2016), Lumseyfai (2020), Maduka et al. (2018), Olaisen and Revang (2017), Oraee et al. (2019), Pozin et al. (2016) and Toro et al. (2020) (Chamakiotis et al. (2020), Crowne (2020), Fuller et al. (2016), Paul et al. (2016), Zakaria and Mohd Yusof (2020) Trust Al Zain et al. (2018), Cheng et al. (2021), De Jong et al. (2016), Gilson et al. (2015), Guinalíu and Jordán (2016), Henderson et al. (2016), Maduka et al. (2018) and Toro et al. (2020) Crowne (2020), Jaakson et al. (2019), Robert (2016), Zakaria and Mohd Yusof (2020) Performance Blenke et al. (2017), Dumitraşcu-Băldău and Dumitraşcu (2019), Fernandez and Jawadi (2015), Gheni et al. (2016), Gilson et al. (2015), Großer and Baumöl (2017), Lumseyfai (2020), Mukherjee and Natrajan (2017), Ng and Tung (2018), Pozin et al. (2016), Wickramasinghe and Nandula (2015) Crowne (2020), Daniel et al. (2017), Graham et al. (2016), Jaakson et al. (2019), Paul et al. (2016), Robert (2016) and Taras et al. (2019) ...
... Over the past decade, many studies have investigated the industry-level, interorganizational collaboration networks in the construction industry. Most studies have applied a static network perspective (Liu et al. [42]; Park et al. [41]; Xue et al. [32]), or have described the structural characteristics of collaborative networks in a specific market, period, or region (Mignone et al. [43]; Wang et al. [35]; Zhou et al. [44]). These industry-level network surveys in the construction field have expanded our understanding of the static structure of inter-organizational collaboration networks in specific contexts and the impact of the network structure on organizational output (e.g., organizational performance, organizational competitiveness, project success). ...
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This paper deals with the issue of balancing the training sample for training artificial neural networks when solving geotechnical problems. As an example problem, the prediction of mechanical characteristics of soil based on physical parameters is considered. A multi-layer full-connection artificial neural network was used to build the dependence. The need to improve the accuracy of analytical calculation methods for geotechnical problems is constant. Recently, such a regressor as an artificial neural network has been used more and more often for geotechnical problems. Neural networks are a powerful forecasting tool that allows reproducing dependencies of almost unlimited complexity. As neural networks need to be trained on a ready set of data, there is a question of quality of geotechnical test databases that are used for training. Due to the fact that there is no centralized way to collect geotechnical test data electronically, many researchers encounter significant incompleteness and imbalance in the data when attempting to collect such data. This paper proposes a solution for balancing such a training sample by generating examples of minority classes. It is proposed to balance the sample by generating missing examples with random parameter values within a certain range. The output data is proposed to be obtained with the help of existing calculation methods. This approach made it possible to make the training sample evenly distributed over the entire available range of values. At the same time, the range of predicted values increased in accordance with the limits of the experimental and generated sample. In addition, this approach allows us to take into account the existing analytical calculation methods when training neural networks.
... One of the most realistic options for overcoming the crisis in the construction industry is to develop strong collaborative relationships among stakeholders (Murtazova & Aliev, 2021). The fact that a project is comprised of many stakeholders from various professional organizations requires effective and efficient communication, coordination, and cooperation to deliver the project value (Mignone et al., 2016;Oraee et al., 2017;Soderlund, 2011). The stakeholders are the actors involved in the designconstruction work of a building project, such as architects (designers), contractors, clients, component manufacturers, suppliers, and supervisors (Xue et al., 2018a). ...
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... How to use future information on the building expenses of the finished project to provide a more realistic and scientific possibility of uncontrollable costs and, as a result, some countermeasures. For current or future similar initiatives, integrated data processing software and calculating tools are needed (Mignone et al., 2016). ABC The analysis method is a data processing technique used to differentiate between minor key components and significant factors (Vetchagool et al., 2020). ...
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