While the performance of sports facilities such as swimming pools is crucial to the health, safety and enjoyment of pool users, little research has been conducted to explore how to analytically evaluate the holistic performance of such facilities from the users' perspective. Even an evaluation framework portraying the key performance attributes of swimming pools is yet to be available. Recognising this research gap, this study aims to adopt a user-centric approach to evaluate the performance of swimming pools and a multi-stage study was initiated. After a thorough literature review, a performance attribute hierarchy for swimming pools was established through a focus group study and then two surveys, covering four swimming pools and 103 pool users interviewed, were conducted in Hong Kong. Analysing the responses using the Analytic Hierarchy Process (AHP) method illustrates that the building services (i.e. utilitarian) aspect of swimming pools is more important than the architectural counterpart, and survey participants cared more about the performance attributes inside water than those outside. This study's novelty lies in that it adopted the user-centric approach, which can differentiate between the relative importance of different swimming pool components and prioritize resources for their maintenance and management. The evaluation framework as well as the findings of the study provides facilities managers with important benchmark criteria for optimising the performance of these sports facilities. In the long run, this study contributes to enabling the project stakeholders to conduct evidence-based decision making over the life cycle of sport facilities development and management.@en

Student housing significantly influences the quality and competitiveness of the university education environment. Whereas the traditional post-occupancy evaluations (POEs) of buildings have typically focussed on investigating users' satisfaction, an earlier study developed the gap theory based post-occupancy evaluation (GTbPOE) method, by which both the users' expectation and satisfaction (viz. performance gap) of a university dormitory were investigated. To validate the applicability of the GTbPOE method, further research was undertaken to evaluate the building performance of another dormitory. Using face-to-face interviews, responses of 104 dormitory users were collected, of which the relative importance ratings of six essential aspects (namely: visual comfort, thermal comfort, aural comfort, fire safety, hygiene, and communication via information technology) were analyzed via the Analytic Hierarchy Process (AHP). A series of gap analyses on the users' expectation and satisfaction levels corroborated the existence of the adaptation effect on the users’ perception: that is, the longer the stay, the smaller the performance gap. A comparative analysis on the findings between the two dormitories - one from the earlier study and the other from the present study - further demonstrated the usefulness of the GTbPOE method in benchmarking building performance. Adoption of this method in future POE studies will enable reliable identification of any shortcoming in building performance and hence, can form the basis for improvement measures to augment the performance of buildings within the built environment.@en

Building information modelling (BIM) teams, hereafter referred to as BIM-based construction networks, are teams whose possibly geographically dispersed members from various organisations and disciplines, perform project tasks on BIM-enabled projects. In recent years, BIM-based construction networks have progressively become the norm in executing BIM activities on projects. However, even though achieving BIM's full capabilities relies on effective collaboration among the team members in BIM-based construction networks, it is still a struggle for these members to collaborate. Nonetheless, only a few studies have been conducted to identify the barriers to strengthening team collaboration in BIM-based construction networks. To address this gap, the current study, by examining 73 journal articles on collaboration in BIM-based construction networks, builds upon a theoretical review of the literature. A conceptual model is presented to capture the main barriers to collaboration in BIM-based construction networks. The study benefits researchers as well as project managers. For researchers, the conceptual model provides an intermediate theory, namely, a theoretical basis to direct further knowledge creation attempts on the topic. In addition, the conceptual model supports project managers on BIM-enabled projects. That is, it simplifies the knowledge now available for practical applications enabling it to be translated into guidelines and practical instructions on real-life projects.@en

Building information modelling (BIM) teams, hereafter referred to as BIM-based construction networks, are teams whose possibly geographically dispersed members from various organisations and disciplines, perform project tasks on BIM-enabled projects. In recent years, BIM-based construction networks have progressively become the norm in executing BIM activities on projects. However, even though achieving BIM's full capabilities relies on effective collaboration among the team members in BIM-based construction networks, it is still a struggle for these members to collaborate. Nonetheless, only a few studies have been conducted to identify the barriers to strengthening team collaboration in BIM-based construction networks. To address this gap, the current study, by examining 73 journal articles on collaboration in BIM-based construction networks, builds upon a theoretical review of the literature. A conceptual model is presented to capture the main barriers to collaboration in BIM-based construction networks. The study benefits researchers as well as project managers. For researchers, the conceptual model provides an intermediate theory, namely, a theoretical basis to direct further knowledge creation attempts on the topic. In addition, the conceptual model supports project managers on BIM-enabled projects. That is, it simplifies the knowledge now available for practical applications enabling it to be translated into guidelines and practical instructions on real-life projects.@en

Purpose: The purpose of this paper is to present a modified model for collaboration in BIM-based construction networks (BbCNs). Though BIM is increasingly adopted and implemented across the construction industry, the problems associated with the lack of collaboration among teams in BbCNs remain a major hindrance to reaping the full potential of BIM. Previous studies have been conceptual in nature. This paper, therefore, attempts to modify and validate existing conceptual models that describe collaboration in BbCNs. Design/methodology/approach: To modify the conceptual model for collaboration in BbCNs, qualitative data through semi-structured interviews with BIM experts in the industry were collected and analysed using qualitative methods including the use of NVivo software. Findings: The proposed model includes influential factors and their sub-factors to collaboration in BbCNs, as well as considering their indicators. Findings reveal that several overlooked concepts, particularly unfavourable BIM contractual arrangements, act as the root causes of the unwillingness of team members in BbCNs to engage in collaborative efforts. Research limitations/implications: The study's findings must be viewed in light of several limitations. First, the interviewees in this study were based in Australia hence their perceptions of BIM collaboration are reflective of the sociotechnical setting of BIM-enabled projects in this country. Also, the findings are based on the perception of experts in the field, rather than analysis of performance measures or quantitative assessment of associations among collaboration outcomes and various factors. This, however, provides the field with fertile grounds for future research. Practical implications: The study benefits researchers by shifting the collaboration discourse in BIM-enabled projects from technology-related issues to the people and contractual-related domains. Moreover, the developed qualitative model provides industry professionals with a point of reference to improve collaboration on BIM-enabled projects. Social implications: The study benefits researchers by shifting the collaboration discourse in BIM-enabled projects from technology-related issues to the people and contractual-related domains. Moreover, the developed qualitative model provides industry professionals with a point of reference to improve collaboration on BIM-enabled projects. Originality/value: Arguments provided in this study highlight the necessity of considering the contractual arrangement of BIM-related projects and foster the willingness of team members to collaborate. This can be addressed using clear and comprehensive BIM execution plans and clearly explaining the role of BIM managers in the process.@en

Purpose: The purpose of this paper is to present a modified model for collaboration in BIM-based construction networks (BbCNs). Though BIM is increasingly adopted and implemented across the construction industry, the problems associated with the lack of collaboration among teams in BbCNs remain a major hindrance to reaping the full potential of BIM. Previous studies have been conceptual in nature. This paper, therefore, attempts to modify and validate existing conceptual models that describe collaboration in BbCNs. Design/methodology/approach: To modify the conceptual model for collaboration in BbCNs, qualitative data through semi-structured interviews with BIM experts in the industry were collected and analysed using qualitative methods including the use of NVivo software. Findings: The proposed model includes influential factors and their sub-factors to collaboration in BbCNs, as well as considering their indicators. Findings reveal that several overlooked concepts, particularly unfavourable BIM contractual arrangements, act as the root causes of the unwillingness of team members in BbCNs to engage in collaborative efforts. Research limitations/implications: The study's findings must be viewed in light of several limitations. First, the interviewees in this study were based in Australia hence their perceptions of BIM collaboration are reflective of the sociotechnical setting of BIM-enabled projects in this country. Also, the findings are based on the perception of experts in the field, rather than analysis of performance measures or quantitative assessment of associations among collaboration outcomes and various factors. This, however, provides the field with fertile grounds for future research. Practical implications: The study benefits researchers by shifting the collaboration discourse in BIM-enabled projects from technology-related issues to the people and contractual-related domains. Moreover, the developed qualitative model provides industry professionals with a point of reference to improve collaboration on BIM-enabled projects. Social implications: The study benefits researchers by shifting the collaboration discourse in BIM-enabled projects from technology-related issues to the people and contractual-related domains. Moreover, the developed qualitative model provides industry professionals with a point of reference to improve collaboration on BIM-enabled projects. Originality/value: Arguments provided in this study highlight the necessity of considering the contractual arrangement of BIM-related projects and foster the willingness of team members to collaborate. This can be addressed using clear and comprehensive BIM execution plans and clearly explaining the role of BIM managers in the process.@en

Purpose: The purpose of this paper is to present a modified model for collaboration in BIM-based construction networks (BbCNs). Though BIM is increasingly adopted and implemented across the construction industry, the problems associated with the lack of collaboration among teams in BbCNs remain a major hindrance to reaping the full potential of BIM. Previous studies have been conceptual in nature. This paper, therefore, attempts to modify and validate existing conceptual models that describe collaboration in BbCNs. Design/methodology/approach: To modify the conceptual model for collaboration in BbCNs, qualitative data through semi-structured interviews with BIM experts in the industry were collected and analysed using qualitative methods including the use of NVivo software. Findings: The proposed model includes influential factors and their sub-factors to collaboration in BbCNs, as well as considering their indicators. Findings reveal that several overlooked concepts, particularly unfavourable BIM contractual arrangements, act as the root causes of the unwillingness of team members in BbCNs to engage in collaborative efforts. Research limitations/implications: The study's findings must be viewed in light of several limitations. First, the interviewees in this study were based in Australia hence their perceptions of BIM collaboration are reflective of the sociotechnical setting of BIM-enabled projects in this country. Also, the findings are based on the perception of experts in the field, rather than analysis of performance measures or quantitative assessment of associations among collaboration outcomes and various factors. This, however, provides the field with fertile grounds for future research. Practical implications: The study benefits researchers by shifting the collaboration discourse in BIM-enabled projects from technology-related issues to the people and contractual-related domains. Moreover, the developed qualitative model provides industry professionals with a point of reference to improve collaboration on BIM-enabled projects. Social implications: The study benefits researchers by shifting the collaboration discourse in BIM-enabled projects from technology-related issues to the people and contractual-related domains. Moreover, the developed qualitative model provides industry professionals with a point of reference to improve collaboration on BIM-enabled projects. Originality/value: Arguments provided in this study highlight the necessity of considering the contractual arrangement of BIM-related projects and foster the willingness of team members to collaborate. This can be addressed using clear and comprehensive BIM execution plans and clearly explaining the role of BIM managers in the process.@en

This research reports upon the scale of building information modeling (BIM) implementation maturity, from nonadoption to full-scale deployment, within small-to-medium enterprises (SMEs) operating within the Australian construction industry. The research utilizes a competitive dynamics perspective (CDP) as the theoretical lens and analyses data collected from 135 SMEs using Bayesian belief networks (BBNs) to provide a richer insight into levels of BIM implementation maturity. Findings reveal that there is no meaningful association between BIM implementation maturity within SMEs and their organizational attributes, such as size and level of experience. A paucity of solid evidence to support a reasonable return on investment (ROI) was also identified as a key barrier to using BIM in higher levels of maturity. In practical terms, the study focuses on pertinent issues associated with mandated BIM in Australia from SMEs' perspectives, pointing out potential consequences and challenging the pressure for mandating. The research concludes by outlining industrial implications and providing pragmatic recommendations designed to accelerate the pace that Australian SMEs move across a BIM trajectory from nonadoption to higher levels of maturity.@en

This research reports upon the scale of building information modeling (BIM) implementation maturity, from nonadoption to full-scale deployment, within small-to-medium enterprises (SMEs) operating within the Australian construction industry. The research utilizes a competitive dynamics perspective (CDP) as the theoretical lens and analyses data collected from 135 SMEs using Bayesian belief networks (BBNs) to provide a richer insight into levels of BIM implementation maturity. Findings reveal that there is no meaningful association between BIM implementation maturity within SMEs and their organizational attributes, such as size and level of experience. A paucity of solid evidence to support a reasonable return on investment (ROI) was also identified as a key barrier to using BIM in higher levels of maturity. In practical terms, the study focuses on pertinent issues associated with mandated BIM in Australia from SMEs' perspectives, pointing out potential consequences and challenging the pressure for mandating. The research concludes by outlining industrial implications and providing pragmatic recommendations designed to accelerate the pace that Australian SMEs move across a BIM trajectory from nonadoption to higher levels of maturity.@en

This research reports upon the scale of building information modeling (BIM) implementation maturity, from nonadoption to full-scale deployment, within small-to-medium enterprises (SMEs) operating within the Australian construction industry. The research utilizes a competitive dynamics perspective (CDP) as the theoretical lens and analyses data collected from 135 SMEs using Bayesian belief networks (BBNs) to provide a richer insight into levels of BIM implementation maturity. Findings reveal that there is no meaningful association between BIM implementation maturity within SMEs and their organizational attributes, such as size and level of experience. A paucity of solid evidence to support a reasonable return on investment (ROI) was also identified as a key barrier to using BIM in higher levels of maturity. In practical terms, the study focuses on pertinent issues associated with mandated BIM in Australia from SMEs' perspectives, pointing out potential consequences and challenging the pressure for mandating. The research concludes by outlining industrial implications and providing pragmatic recommendations designed to accelerate the pace that Australian SMEs move across a BIM trajectory from nonadoption to higher levels of maturity.@en

This research reports upon the scale of building information modeling (BIM) implementation maturity, from nonadoption to full-scale deployment, within small-to-medium enterprises (SMEs) operating within the Australian construction industry. The research utilizes a competitive dynamics perspective (CDP) as the theoretical lens and analyses data collected from 135 SMEs using Bayesian belief networks (BBNs) to provide a richer insight into levels of BIM implementation maturity. Findings reveal that there is no meaningful association between BIM implementation maturity within SMEs and their organizational attributes, such as size and level of experience. A paucity of solid evidence to support a reasonable return on investment (ROI) was also identified as a key barrier to using BIM in higher levels of maturity. In practical terms, the study focuses on pertinent issues associated with mandated BIM in Australia from SMEs' perspectives, pointing out potential consequences and challenging the pressure for mandating. The research concludes by outlining industrial implications and providing pragmatic recommendations designed to accelerate the pace that Australian SMEs move across a BIM trajectory from nonadoption to higher levels of maturity.@en

This research reports upon the scale of building information modeling (BIM) implementation maturity, from nonadoption to full-scale deployment, within small-to-medium enterprises (SMEs) operating within the Australian construction industry. The research utilizes a competitive dynamics perspective (CDP) as the theoretical lens and analyses data collected from 135 SMEs using Bayesian belief networks (BBNs) to provide a richer insight into levels of BIM implementation maturity. Findings reveal that there is no meaningful association between BIM implementation maturity within SMEs and their organizational attributes, such as size and level of experience. A paucity of solid evidence to support a reasonable return on investment (ROI) was also identified as a key barrier to using BIM in higher levels of maturity. In practical terms, the study focuses on pertinent issues associated with mandated BIM in Australia from SMEs' perspectives, pointing out potential consequences and challenging the pressure for mandating. The research concludes by outlining industrial implications and providing pragmatic recommendations designed to accelerate the pace that Australian SMEs move across a BIM trajectory from nonadoption to higher levels of maturity.@en

Purpose: Integrating building information modelling (BIM) into facility management (FM) has generated fervent debate within the extant literature given an increasing realisation amongst practitioners that the majority of BIM benefits reside within the whole lifecycle management. Converting a building’s in-use data and information into tangible business knowledge to augment FM performance is crucial for business growth and prosperity. Yet curiously, scant academic attention has been paid in investigating the data and information hand-over process through BIM required by FM. The purpose of this paper is to address this knowledge gap. Design/methodology/approach: The research approach adopted draws upon pertinent BIM in the FM literature and a qualitative discourse accrued via focus group meetings of Australian FM experts. Findings: The study’s findings are presented as a data and information typology matrix that captures the associations among different forms of data ownership, FM service delivery categories and data and information typologies for using BIM in FM. Practical implications: The analysis results will prove invaluable for policy-makers, researchers and practitioners by providing a relevant data and information typology and capturing the complex associations in the process of integrating BIM into FM. Originality/value: This study contributes to the field by providing a better understanding of different forms of data and information, required by members of a FM team. The original insight shared here is the necessity to consider a distinctive array of interests and the potential for using different forms of data and information when integrating BIM into FM.@en

Purpose: Integrating building information modelling (BIM) into facility management (FM) has generated fervent debate within the extant literature given an increasing realisation amongst practitioners that the majority of BIM benefits reside within the whole lifecycle management. Converting a building’s in-use data and information into tangible business knowledge to augment FM performance is crucial for business growth and prosperity. Yet curiously, scant academic attention has been paid in investigating the data and information hand-over process through BIM required by FM. The purpose of this paper is to address this knowledge gap. Design/methodology/approach: The research approach adopted draws upon pertinent BIM in the FM literature and a qualitative discourse accrued via focus group meetings of Australian FM experts. Findings: The study’s findings are presented as a data and information typology matrix that captures the associations among different forms of data ownership, FM service delivery categories and data and information typologies for using BIM in FM. Practical implications: The analysis results will prove invaluable for policy-makers, researchers and practitioners by providing a relevant data and information typology and capturing the complex associations in the process of integrating BIM into FM. Originality/value: This study contributes to the field by providing a better understanding of different forms of data and information, required by members of a FM team. The original insight shared here is the necessity to consider a distinctive array of interests and the potential for using different forms of data and information when integrating BIM into FM.@en

Purpose: Integrating building information modelling (BIM) into facility management (FM) has generated fervent debate within the extant literature given an increasing realisation amongst practitioners that the majority of BIM benefits reside within the whole lifecycle management. Converting a building’s in-use data and information into tangible business knowledge to augment FM performance is crucial for business growth and prosperity. Yet curiously, scant academic attention has been paid in investigating the data and information hand-over process through BIM required by FM. The purpose of this paper is to address this knowledge gap. Design/methodology/approach: The research approach adopted draws upon pertinent BIM in the FM literature and a qualitative discourse accrued via focus group meetings of Australian FM experts. Findings: The study’s findings are presented as a data and information typology matrix that captures the associations among different forms of data ownership, FM service delivery categories and data and information typologies for using BIM in FM. Practical implications: The analysis results will prove invaluable for policy-makers, researchers and practitioners by providing a relevant data and information typology and capturing the complex associations in the process of integrating BIM into FM. Originality/value: This study contributes to the field by providing a better understanding of different forms of data and information, required by members of a FM team. The original insight shared here is the necessity to consider a distinctive array of interests and the potential for using different forms of data and information when integrating BIM into FM.@en

Purpose: Integrating building information modelling (BIM) into facility management (FM) has generated fervent debate within the extant literature given an increasing realisation amongst practitioners that the majority of BIM benefits reside within the whole lifecycle management. Converting a building’s in-use data and information into tangible business knowledge to augment FM performance is crucial for business growth and prosperity. Yet curiously, scant academic attention has been paid in investigating the data and information hand-over process through BIM required by FM. The purpose of this paper is to address this knowledge gap. Design/methodology/approach: The research approach adopted draws upon pertinent BIM in the FM literature and a qualitative discourse accrued via focus group meetings of Australian FM experts. Findings: The study’s findings are presented as a data and information typology matrix that captures the associations among different forms of data ownership, FM service delivery categories and data and information typologies for using BIM in FM. Practical implications: The analysis results will prove invaluable for policy-makers, researchers and practitioners by providing a relevant data and information typology and capturing the complex associations in the process of integrating BIM into FM. Originality/value: This study contributes to the field by providing a better understanding of different forms of data and information, required by members of a FM team. The original insight shared here is the necessity to consider a distinctive array of interests and the potential for using different forms of data and information when integrating BIM into FM.@en

Purpose: Integrating building information modelling (BIM) into facility management (FM) has generated fervent debate within the extant literature given an increasing realisation amongst practitioners that the majority of BIM benefits reside within the whole lifecycle management. Converting a building’s in-use data and information into tangible business knowledge to augment FM performance is crucial for business growth and prosperity. Yet curiously, scant academic attention has been paid in investigating the data and information hand-over process through BIM required by FM. The purpose of this paper is to address this knowledge gap. Design/methodology/approach: The research approach adopted draws upon pertinent BIM in the FM literature and a qualitative discourse accrued via focus group meetings of Australian FM experts. Findings: The study’s findings are presented as a data and information typology matrix that captures the associations among different forms of data ownership, FM service delivery categories and data and information typologies for using BIM in FM. Practical implications: The analysis results will prove invaluable for policy-makers, researchers and practitioners by providing a relevant data and information typology and capturing the complex associations in the process of integrating BIM into FM. Originality/value: This study contributes to the field by providing a better understanding of different forms of data and information, required by members of a FM team. The original insight shared here is the necessity to consider a distinctive array of interests and the potential for using different forms of data and information when integrating BIM into FM.@en