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The purpose of this study is to investigate ways of transferring knowledge and information during the life-cycle phases of construction projects, particularly between the construction and occupancy phases, and to find an approach to minimise knowledge and information gaps during the handover process.

The study applied a qualitative approach involving a literature review and an archival analysis of information flow in the studied cases of a construction project, followed by a cross-cases analysis and expert interviews. Data on information flow were collected from three cases of building construction projects in Perth, Western Australia. In addition, a total of 18 local facilities management experts were interviewed to identify the key reasons of knowledge and information gaps and to propose an effective knowledge flow model.

The findings of this study indicated a significant knowledge and information gap, which exists during the handover process in construction projects in Western Australia. The findings of case analysis and expert interviews identified that the project handover guidelines were often ignored in construction projects in Western Australia, and the handover phase was not given the same priority as the design and construction phases by most of the project stakeholders, which led to information and knowledge gaps between the project construction and post-occupancy phases. The study conducted, integrated knowledge and information flow modelling to analyse the knowledge and information gaps followed by mapping the gaps against existing knowledge sharing frameworks (KSFs) before proposing an integrated knowledge sharing conceptual model to improve current practice and to enhance the information flow during the various phases of the construction project life cycle.

The study is based on three cases in Perth, Western Australia, and thus the findings and recommendations are contextual. Whilst laying a good foundation to do so, further research is needed to investigate more cases in Western Australia and beyond to fully generalise the findings from this study.

The study contributes to improve the handover process and information flows in project life-cycle phases in Western Australia and develop an information flow model followed by bringing together existing KSFs, namely, the open communication channel (OCC), soft landing framework (SLF) and building information modelling (BIM), to propose an integrated knowledge sharing conceptual model. The methodology used here to analyse the information flow in a diagrammatic manner, the mapping of FM issues against the KSFs’ capabilities and a conceptual model to facilitate change in the industry’s silo mindset are the main contributions of this paper.

This paper aims to represent the results of a case study to establish a building information model (BIM)-enabled workflow to capture and retrieve facility information to deliver integrated handover deliverables.

The Building Handover Information Model (BHIM) framework proposed herein is contextualized given the Construction Operation Information Exchange (COBie) and the level of development schema. The process uses Autodesk Revit as the primary BIM-authoring tool and Dynamo as an add-in for extending Revit’s parametric functionality, BHIM validation, information retrieval and documentation in generating operation and maintenance (O&M) deliverables in the end-user requested format.

Given the criticality of semantics for model elements in the BHIM and for appropriate interoperability in BIM collaboration, each discipline should establish model development and exchange protocols that define the elements, geometrical and non-geometrical information requirements and acceptable software applications early in the design phase. In this case study, five information categories (location, specifications, warranty, maintenance instructions and Construction Specifications Institute MasterFormat division) were identified as critical for model elements in the BHIM for handover purposes.

Design- and construction-purposed BIM is a standard platform in collaborative architecture, engineering and construction practice, and the models are available for many recently constructed facilities. However, interoperability issues drastically restrict implementation of these models in building information handover and O&M. This study provides essential input regarding BIM exchange protocols and collaborative BIM libraries for handover purposes in collaborative BIM development.

As the use of building information modeling (BIM) for facilities management (FM) continues to grow, questions remain around the quality and completeness of digital assets to support FM practices. This paper aims to examine the current gap between digital and physical assets in the absence of formal information requirements and its impact on the handover process.

An action-research was carried out with a large public organization to understand the challenges of their current FM processes and the steps required in developing an asset information model (AIM) from a project information model (PIM). A mixed method approach was employed with interviews, document analysis and an exploratory pilot case study.

This paper investigates the process, the challenges and the level of effort of the information commissioning process to create a fit-for-use AIM. Four distinct steps were identified in the process as follows: analyzing the handover PIM and documents, extracting FM-specific information, populating the model with the information and attaching operations and maintenance (O&M) documents. The research highlights the significant amount of effort that is required when no specific asset information requirements are formulated at the project onset.

The paper presents an information commissioning process that helps to develop an AIM from a PIM. Understanding the impact of the lack of requirements on the information commissioning process can help asset owners understand the importance of defining and articulating their information requirements up front.

This paper provides empirical evidence of the impact of the absence of formal information requirements on the development of a fit-for-use AIM.

Successful implementation of a building information modeling (BIM) for building operation and maintenance (O&M) requires purposeful, early-design identification of end-user-specific model exchange requirements. This paper aims to provide a semantic data-rich classification system for model objects to convey facilities management (FM) requirements in BIM guidelines in support of efficient FM-BIM data workflows.

A modularized, repeatable and technical solution for semantic requirements of BIM exchange objects was developed through ontology-based data mapping of the industry foundation classes. The proposed solution further contextualizes syntax per the buildingSMART Data Dictionary schema and provides an implementation agreement to address the quality issues of discipline BIMs and establish consistent modeling and naming conventions to facilitate automated BIM data workflow.

The level of semantics (LOS) development framework and the results of LOS implementation focusing on a building mechanical system case project are presented and discussed to showcase the increased efficiency resulting from its implementation throughout the BIM data management workflows.

This study represents a pioneering effort to create and implement the LOS schema as a modularized solution in support of automatic BIM data creation, adjustment, verification and transition across the design, construction and O&M workflows of a large owner organization in the Midwest USA.

Construction is often a long‐term project described as a dynamic and complex entity. This is one of the factors making the assessment of construction quality so difficult. The actors in the field of construction need versatile and systematic data about the quality of the construction process and the building in order to be able to operate in a customer‐oriented manner and develop their own operations. The purpose of this paper is to examine the typical factors in a construction project as regards customer satisfaction.

The cluster analysis differentiating between projects in this paper is conducted with a total of 831 construction projects.

The paper reveals seven similar but nevertheless different clusters. What the best clusters as regards customer satisfaction has in common is that the management's professional skills and the cooperation methods are successful when compared to other areas of the cluster. Additionally, good cooperation methods predict good level of customer satisfaction. In all clusters, handover inspections has the lowest level of success. When examining various, good and poor projects, it may be stated that the same factors were successful in all of the projects.

Improving the quality of construction projects from the customer's perspective has gained growing interest also in construction industry. Indeed, information about the project's success factors from the customer's perspective is needed in the construction business. Owing to the complex nature of construction and the special characteristics of project production, construction has had several problems in producing quality in a customer‐oriented manner. This paper describes, the success factors from the viewpoint of customer satisfaction. Construction has become a service industry adopting methods from the field of service management but the use of “soft” measurement tools, such as customer satisfaction, is still at an early stage of development.

The objective of this review is to address two research questions: What is evidence‐based best practice for intra‐hospital inpatient handovers? What areas need further research? The paper aims to take a particular interest in the interpersonal skills involved in successful handover, theoretically‐based approaches to implementing improvements in handovers, and whether there is sufficient data to construct an evaluation methodology.

The paper takes the form of a narrative synthesis based on search of PubMed, CINAHL and the Cochrane Library.

A total of 82 papers, comprising 29 implementation studies, 13 conceptual models or improvement methods, five subject reviews and 35 background papers were identified. None of the studies met the normal parameters of evidence‐based medicine, but this is unsurprising for a complex healthcare service intervention.

Those papers published in English between 2000 and July 2010 that were indexed in CINAHL, Medline or the Cochrane Library or found opportunistically were the only ones to be reviewed. The authors did not search any grey literature or hand‐search any journals.

The evidence is sufficient to justify widespread adoption of the guiding principles for inpatient handover best practice, provided that concurrent evaluation is also undertaken.

This is the first comprehensive review published in the peer‐reviewed literature that examines the evidence base for the practice of inpatient handovers across healthcare professions and specialties.

Studies of BIM examine the potential benefits in maintenance. There is also a perspective maintenance teams should be involved early in the building project process. The purpose of this paper is to address the lack of understanding on learning processes for BIM in maintenance in the early building project stage.

Case study is used to examine the context maintenance learn about BIM. Maintenance managers and project managers were interviewed where discussions centred on a new build project which introduced BIM and how it would impact current practices.

Learning happens at the early building project stage for BIM into maintenance influenced by external and internal contexts. The external context focuses on the UK government on being a catalyst for explorative learning. Meaning is added by maintenance teams through exploiting what is learnt from the external influence which is contextualized within current activities. Internal shaping of BIM is explored through building scenarios and exploitation learning occurs from past experiences of change which are inferred onto BIM. There is a necessary balance between exploration and exploitation learning in order to shape BIM for maintenance.

The paper is limited to one case study, however, it takes an in-depth look at the development of BIM in maintenance and how it is understood in maintenance.

The contribution of the paper examines the context of learning in which BIM is shaped in maintenance.

This study aims to establish a new system to predict the defect liability phase (DLP) cost using the Six Sigma methodology, which investigates sources of variations and reduces the error level to 3.4 per million through five phases: define, measure, analyze, design and verify.

After the initial handover of the construction project, the DLP follows the practical completion. During this stage, the contractor is responsible for the remedy of any defects that appeared in the project. Many researchers have studied defect reasons and their associated costs in different industries, while the construction industry remains a green field for this kind of research. The objective of this study was to develop a model to predict the DLP cost. The research methodology adopted the five stages of the Six Sigma cycle: defining objectives, measuring the data, analyzing performance, designing the model and verifying the results. Twenty factors were identified as potential factors affecting the DLP cost. Factors were categorized into two main clusters: project data and organization data. Interviews were conducted with 42 project management experts, who have 8–35 years of experience in construction project management, to rank the 20 factors based on their importance. Simo’s procedure was used to obtain the weight of each factor affecting the DLP cost based on the opinions of the experts. The Pareto principle was used to select the “Vital Few” factors affecting the DLP cost, and six factors were selected. The design of experiments (DOE) was used to establish a dynamic model to predict the DLP cost using a sample of 41 construction projects obtained from the above-mentioned 42 project management experts. The model accuracy was verified using data obtained from a different sample of five construction projects, which were not used to establish the model.

The results showed that among the 20 factors, only six were found to have a cumulative impact of 50% over the cost of the DLP: type of project, project contract value, nationality of the employer, project manager experience, DLP duration and sector of the employer. A model was established through the DOE to predict the DLP cost using the values of the aforementioned factors.

As a natural limitation of using DOE, the newly developed model can be applied to predict the DLP cost based on data within the range of data used during the model development, which means that model is confined within the specific measured values of factors. Furthermore, it will be beneficial for future studies to study the impact of other factors related to the types of materials or equipment used in building the project because it was not considered during this study because of the huge diversities in these factors and difficulties in determining its impact on the DLP cost.

The unique results of using DOE through Minitab software facilitated obtaining of a dynamic model, which means that researchers can modify any value of the six factors and monitor instantly the expected change in the DLP cost, which will allow a better understanding of the impact of each factor on the DLP cost. Moreover, the new model will help contractors to predict the expected DLP cost to be added for their project budget, which will mitigate the risk of cost overrun resulted from the cost of defect rectification.

A dynamic model was established to predict the DLP cost using the DOE. The new model was validated, and the prediction error ranged from −18% to +21%.

The objective of this research is to explore integration and transition activities in large industrial projects. The purpose is to (a) obtain a better understanding of the integration and transition activities between the project front-end (FE) and project initiation phases (PIPs), (b) explore what, how and when these integrations and transitions occur, and (c) explore what the integration and transition activities mean to project practitioners.

A qualitative research design methodology is followed, based on interviews using open-ended questions. An expert panel is used to provide responses to questions pertaining to the integration and transition between the project FE and PIP. The research is focused on managing large projects in the South African electrical engineering industrial projects industry. A literature review combined with empirical analysis reflects the importance of integrating and transitioning in project business.

The findings provide guidance to researchers and practitioners on integration and transition mechanisms, how and when these occur. It highlights the benefits of integration and transition activities. Important lessons for researchers and practitioners are provided together with areas for future research.

This is an interpretative analysis of expert opinion. Expert panel members are experienced at senior decision-making level, and their expertise was accessed based on experience, education and knowledge. This extensive experience is shared in this paper providing insights into their opinions, experiences, success and failures. These inputs together with the literature review provide interesting implications for both a theoretical foundation as well as practical implications for practitioners.

Using an institutionalist lens, this study aims to identify factors that influence the knowledge sharing behaviour of volunteers engaged in collaborative, cross-cultural and project-focussed development work.

Following an inductive research design, the authors conducted a thematic analysis of interviews with volunteers to explore the practicalities of knowledge sharing in the context of development aid projects and to examine contributing factors, such as personality, motivations, experience and variations in team members’ understanding of the nature and objective of projects.

Through exploring the experiences of volunteers working on cross-cultural development aid programmes, the authors identify and discuss the ways in which the preparation of volunteers and the structuring of project work is shaped by managerialist modes of thinking, with an emphasis on the creation of an environment that is conducive to sustainable knowledge sharing practices for all stakeholders involved.

The examination of volunteer development work tendency towards institutional isomorphism is a novel contribution intersecting the areas of knowledge sharing in the project, volunteer-led and culturally diverse environments.