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The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies.

A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model.

The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature.

The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

The research introduces means for improving premanufacturing processes (design, procurement and bidding) by leveraging digitalisation in offsite construction. Specifically, this paper proposes a framework that provides measures for the planning and implementation of digitalisation in offsite construction by positioning building information modelling (BIM) as the key technology and lean principles to add value and reduce waste.

The paper follows the design science research approach to develop the proposed framework and attain the aforementioned objective. The developed framework includes data collection, value-stream mapping and simulation to assess current processes, develop and propose improvements. An empirical implementation is employed to demonstrate the applicability of both the framework and the measures used to evaluate the outcomes.

The application of the proposed three-stage framework resulted in 9.45%–23.33%-time reduction per year for the various improvement categories in premanufacturing phases. Employing simulation and applying the developed measures provide incentive for upper management to adopt the suggested improvements. Additionally, while the empirical implementation was tested on a modular construction company, the methods used indicate that the framework, with its generic guidelines, could be applied and customized to any offsite company.

While several studies propose that BIM-Lean integration offers an advantage in the context of production systems, this paper focuses on the initial design and planning phases, which are mostly overlooked in the literature. Moreover, the present study provides quantitative evidence of the benefits of data integration through BIM technology.

The development of prefabrication into full-scale offsite manufacturing processes in the construction industry is paradigm-shifting. Moreover, Building Information Modelling (BIM) is becoming the primary mode of communication and integration in construction projects to facilitate the flow of information. Although research has been performed on BIM and Offsite Construction (OSC), integrating these two concepts remains ambiguous and complex and lacks documentation and structure, especially in New Zealand. Therefore, this paper develops a robust framework for OSC and BIM integration. The study focusses on identifying integration challenges and proposes strategies for overcoming these challenges.

This study applied scientometric analysis, a systematic literature review (SLR) and semi-structured expert interviews to investigate OSC and BIM integration challenges. Multiple themes were investigated and triangulation conducted in this research supports the creation of applicable knowledge in this field.

Multiple gaps, research trends and the pioneer countries in the paper's scope have been identified through scientometric analysis. Then, a classified cluster of challenges for OSC and BIM implementation and integration strategies of OSC and BIM were demonstrated from the findings. The interviews provided comprehensive and complementary data sets and analyses. The findings from the Systematic Literature Review and interview structured the integration framework.

The contribution of this paper to existing knowledge is a developed framework that serves as a guideline for the OSC stakeholders. This framework can assess OSC's alignment with BIM and consolidate strategies for incorporating OSC into a BIM-based project delivery process. The framework consists of 23 strategies categorised into 8 clusters: a policy document, training and professional development, documentation, technology management, governmental development, contract development, accurate definition and detailing and communication. The proposed strategies will streamline integration by reducing potential challenges, thus enhancing project productivity.

The construction industry's transformation of prefabrication into large-scale offsite manufacturing continues to grow. While the Offsite Construction (OSC) transition has brought positive changes to the industry, it also presents various challenges. Literature suggests that to address the challenges, advanced technologies such as Building Information Modeling (BIM) can be applied for effective mitigation. Nonetheless, the combined application of BIM and OSC is in its infancy and faces challenges in many countries. This study aims to investigate the factors influencing OSC and BIM integration, including challenges and strategies within the New Zealand construction industry.

This study explores which specific factors impact integration positively or negatively through a comprehensive literature review and confirmatory survey. Factor Analysis (FA) was used as the data analysis method, resulting in eight groups of underlying factors. Next, three Structural Equation Models (SEM) were developed and tested to analyze the impact of latent and observed variables on OSC and BIM integration.

Significant underlying factors affecting OSC and BIM integration were identified, and recommendations to enhance integration were provided. Specifically, the findings demonstrated that three underlying factors for challenges, two for strategies and three for integration were identified through EFA and confirmed by CFA. This step was followed by SEM, which employed three different path analysis models for integration variables. It clarified that not all variables have similar impacts on integration; some exhibit significant positive or negative effects, while others are not significant at all.

The identified challenges and strategies for OSC and BIM integration and their impact on integration factors can contribute to developing standardized integration guidelines and frameworks to assist stakeholders in focusing on their specific integration goals.

Facility management gained profound importance due to the increasing complexity of different systems and the cost of operation and maintenance. However, due to the increasing complexity of different systems, facility managers may suffer from a lack of information. The purpose of this paper is to propose a new facility management approach that links segmented assets to the vital data required for managing facilities.

Automatic point cloud segmentation is one of the most crucial processes required for modelling building facilities. In this research, laser scanning is used for point cloud acquisition. The research utilises region growing algorithm, colour-based region-growing algorithm and Euclidean cluster algorithm.

A case study is worked out to test the accuracy of the considered point cloud segmentation algorithms utilising metrics precision, recall and F-score. The results indicate that Euclidean cluster extraction and region growing algorithm revealed high accuracy for segmentation.

The research presents a comparative approach for selecting the most appropriate segmentation approach required for accurate modelling. As such, the segmented assets can be linked easily with the data required for facility management.

The purpose of this chapter is to investigate the adoption and use of building information modelling (BIM) for residential real estate development in Nigeria (using Lagos as a case study), with a view to providing information towards improving BIM uptake, which could enhance sustainable housing delivery in the country. A quantitative research methodology was adopted involving the use of questionnaire survey to collect primary data. The data were obtained from private real estate developers in Lagos State. The self-administered questionnaire was distributed to all the 72 active real estate developers in the study area, and the response rate was 62.5%. The collected data were analysed using statistical tools such as frequency and percentages, mean rating and chi-square. The results revealed a low level of awareness and usage of the transformative and contemporary BIM technology (6D BIM version) by real estate developers. It was established that the 2D and 3D BIM traditional versions were the most utilised across the phases of real estate development process. It was also found that the level of BIM utilisation has a significant relationship with the age and asset base of the real estate developers. The chapter concludes by advocating increase in the asset base and organisational profile of real estate developers to enhance BIM adoption, especially, the 6D BIM, which could facilitate sustainable real estate development.

Lean construction is widely known as a theory or methodology of organizational management, while seldom been studied as a solution for industry improvements through practice. This paper explores the practical role of lean for construction industry improvements beyond its theoretical inspirations by empirically examining the industry understanding and practice with the case of Hong Kong.

The research was designed as a mixed-method study by combining a critical literature review, semi-structured interviews with relevant professionals, and a follow-up research workshop that includes eight focus group discussions over two break-out sessions with Hong Kong construction stakeholders.

The research results indicate a low awareness of the term “lean construction” in use, but its principles were implicitly embedded in relevant practices and techniques, particularly building information modeling (BIM), low or zero carbon building (L/ZCB), and prefabrication and modular construction. Practitioners perceived wide-ranging benefits of lean for construction industry improvements but were reluctant to pioneer its adoption and concerned the multi-level challenges.

The paper provides a new practical perspective to rethink lean for construction industry improvements through its synergies with emerging practices, i.e. BIM and ICT, L/ZCB and sustainability, and prefabrication and modular construction.

This study addresses the critical imperative of quantifying building information modeling (bimalliance) benefits by augmenting existing methodologies, with a focus on monetization. Engaging industry practitioners, the research develops a comprehensive framework through an exhaustive literature review and a survey in the Swedish construction industry, incorporating insights from 128 respondents.

The framework, validated by industry experts, systematically assesses tangible BIM benefits against associated costs. It introduces a novel method in construction, addressing the lack of a unified approach. The resulting framework facilitates nuanced feasibility determinations by systematically evaluating BIM benefits against costs.

Despite its acknowledged limitations, the framework effectively captures a comprehensive range of costs and benefits, providing a more accurate and detailed estimation of BIM’s impact on project outcomes.

With practical implications, the framework enhances BIM understanding and application, contributing to effective project management throughout the construction supply chain lifecycle. Moreover, it aims to improve efficacy within the architecture, engineering, construction and operations industry.

The study empowers organizations and decision-makers with a bespoke tool for evaluating BIM feasibility, contributing to decision-making through a clarified numerical representation.

The paper aims to provide a door-to-door holistic perspective on the state of a production system based on several metrics and their relationships, to utilize a combination of tools and techniques and to develop a unique model for production system assessment. The study addresses the limitations of narrow approaches by proposing a new metric as a single indicator of the production system’s overall state.

The research methodology adopted is design science research. It proposes a framework that combines value stream mapping, simulation and fuzzy logic to study the impact of different lean interventions on the overall state. An offsite construction facility was used as a case study. Data were gathered using methods such as ethnography, interviews, time and motion studies, shopfloor observations, video surveillance and database exploration.

The paper highlights how some interventions can have local improvements but lead to negative impacts on the overall system state. It emphasizes the importance of having a holistic approach to analyze and improve the true state of a production system.

The study excludes impacts of the supply chain and assumes the system to be confined within the shopfloor. Researchers are encouraged to include those variables in future studies.

The study presents a practical framework and tool that can be tailored to any production system and be used to improve its performance.

This paper proposes a unique framework and a new metric for system state assessment and improvement.