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In China, information-based construction management (ICM) has not obtained the expected results because of the benefit game between construction enterprises and the government. Promoting ICM is a long-term, complex and dynamic game process. Therefore, an evolutionary game model is established to promote ICM.

MATLAB was used to conduct evolutionary game analysis on the behavioural strategies of two parties. System stability analysis and numerical simulation were conducted. The variables affecting ICM realization were analysed and comprehensively considered. The optimal stability strategy and key variables were obtained.

The results show that the system includes four evolutionarily stable strategies (ESSs) with 10 decisive parameters. Information technology costs, benefits, reputation, the government intervention level, the enterprise ICM level and the degree of reward and punishment determine the ideal ESS. Increasing tangible benefits, enhancing corporate reputation, improving the level of government guidance and reducing intervention costs can promote ICM implementation. Rewards are more effective than punishments, and appropriate rewards should be determined.

First, reducing labour disputes, accidents and environmental pollution brings great social and ecological benefits; hence, the recognition of external benefits and the establishment of a benefit compensation mechanism by the government will be a future focus of research (Jia et al., 2020). Second, this study considered only the government and construction enterprises, and there may be other stakeholders, such as owners and the public, in the ICM adoption process, which needs further analysis (Zhang and Li, 2022). Third, this research is based on the specific context of government intervention in ICM. The selection of parameters and the determination of values were based on the national conditions in China. Therefore, the generalizability of the research results to other countries and other political contexts needs to be further improved (Hardie et al., 2013; Martínez-Román et al., 2017). Fourth, the empirical data were collected from Shandong Province and a pilot project, and the universality of the data remains to be verified. Nevertheless, the data were used only for the initial values of the simulation, which did not affect the simulation path.

(1) This study comprehensively summarized the benefit and cost indexes for the government and enterprises to promote ICM and constructed the payment matrix model. (2) This study determined the theoretical relation that the parameters should meet when system evolves into a certain strategy, and the research findings provide recommendations for overall control for the government and enterprises to synergistically adopt the ICM. (3) The study determined the influence of the main parameters on system evolution path and identified the core parameters, thus providing targeted improvement recommendations for the government and enterprises.

Real-time data-based management can ensure product quality and production safety and improve decision-making and efficiency. For the government, ICM can effectively reduce project quality and safety accidents, labour disputes, supplier mix-ups and environmental pollution, thus reducing the government's management costs and improving social benefits.

(1) Based on the challenges of ICM implementation, the payment matrix is constructed, with the cost and benefit parameters fully considered. (2) This study determines the theoretical relationship that should be met when both parties coordinate their implementation and when enterprises implement independently, and the optimal strategy is specified. (3) Incorporating an actual case, a simulation is conducted to clarify the influence of a single parameter on the evolutionary path of behaviours. (4) A decision-making basis for governments and enterprises to control and improve ICM is provided.

The purpose of this paper is to explore the synergies between post-end-of-life of building (PEoLB) concepts and operations to achieve sustainability.

A systematic literature review (SLR) was conducted using 65 articles published between 2006 and 2017, and it has been subjected to descriptive and thematic analysis.

The descriptive analysis revealed that the majority of the articles were about (60 per cent) PEoLB operations, followed by (23 per cent) PEoLB concepts. Only 17 per cent of the articles have dealt with PEoLB-related strategic approaches. The thematic analysis elaborated on the literature development; interrelationships between PEoLB concepts and operations; impediments of introducing sustainability on these operations, remedial measures and information-based strategic approaches to achieve sustainability. Based on the findings, a conceptual framework for sustainable PEoLB operations is proposed. Furthermore, four areas of potential future research are discussed.

This study presents a future research agenda including best practices to plan PEoLB operations and the development of optimisation models, risk management and information-based strategic approaches.

The proposed conceptual research framework triggers and nurtures potential pathways to introduce sustainable PEoLB operations under sound information flow. This could create a basis for future empirical studies in filling the identified gaps in literature. The framework could also assist practitioners in mitigating risks associated with transportation, storing and contamination of salvaged materials through enhanced information flow. In addition, the framework provides some managerial guidance to organisations seeking ways of establishing sustainability during reverse logistics (RL) operations.

This paper presents an SLR of an emerging area of research that encapsulates closed-loop supply chain through sustainable RL operations. The study highlights the interrelationships between PEoLB concepts and operations. It develops a robust approach to effectively manage the PEoLB operations underpinned by a sound information flow to facilitate sustainability.

The purpose of this paper is to explore the synergies among reverse logistics supply chain (RLSC), quality management (QM) and information management (IM) concepts to enhance the effectiveness of demolition waste management (DWM) practices.

A systematic literature review was conducted using 70 articles published between the years of 2006 and 2017, which were subjected to descriptive and thematic analysis.

The descriptive analysis established that the RLSC concept was dealt within the majority of the publications (61 per cent), followed by concepts related to quality in RLSC (24 per cent). Only 14 per cent of the articles were based on IM concepts related to RLSC. Quality and information are interrelated in the effective implementation of RLSC. The thematic analysis demonstrated that there is a need for using quality parameters in a regulatory environment in an information-based environment. Based on the findings, future research directions were developed.

The study encourages researchers to identify novel directions by combining these three concepts. The study developed a future research agenda regarding use of building information modelling (BIM) for existing buildings under novel technologies; analysis of secondary market demand and supply; and assessment of cost and safety management with quality in a BIM-enabled environment.

The practical implications include the application of sustainable management principles based on stakeholders and the regulatory environment.

Integration of the three concepts is an emerging area. This integration developed a robust approach to achieve QM in RLSC operations under a sound information flow enabling the optimisation of DWM.

The purpose of this paper is to develop a model for the use of mobile computing in the management of on‐site construction information and communication.

The research strategy contains three steps: a pilot study for the first stage, a survey that investigated the information needs of particular users and the nature of on‐site information, and finally the development of a model and the validation and evaluation by operational scenarios.

The developed model explores how mobile computing can be used on construction sites to manage on‐site information. This model, firstly, identifies the key factors of mobile computer, wireless network, mobile application, construction personnel, construction information, and construction site; secondly it describes the relationships and interactions among these factors. Based on the model, the selection process for mobile computing strategy includes the clarification of information management process, the creations of overview for mobile computing solution, the identification of mobile computing strategy, and the selection of appropriate mobile computing technology.

The developed model explores the general concepts and the internal relationships at the two areas of mobile computing and construction site information management. The application of the model can help users to select mobile computing strategies for managing on‐site construction information based on the characteristics of their projects.

The aim of the following discussion is to present the division of markets into marketplace and marketspace and evaluate the significance of virtual value chains in opening up further possibilities in the marketplace and marketspace. Against this background, it will, second, be argued that information becomes a factor of success in its own right in competition in future markets. However, in order to activate information, marketing is forced to adapt to the conditions of information networks in the virtual marketplace (marketspace). Third, it will be discussed that marketing must develop into information‐based marketing. It will particularly be considered what demands are put on the information‐based market in order to achieve real competitive advantages in marketspace from the factor of production information.

The purpose of this paper is to discuss the collaborative practices of virtual teams carrying out knowledge‐based work and the tools required/used to assemble “collective” artefacts.

The vast majority of recent work on communities of practice is devoted to community management (i.e. discovering, building, and maintaining communities), dismissing or undermining community practices and how they are technologically mediated (i.e. the practice‐specific tools and artefacts involved). This paper investigates existing practices and makes use of scenarios to envision new distributed collective practices in a designated application domain. The instruments used include both empirical tools (i.e. survey of current practice and expert interviews) and analytical tools (i.e. scenarios of use, walkthroughs, and virtual prototyping) to provide insight towards the design of practice‐oriented toolkits.

The proposed approach is validated in the context of an electronic village of local interest with a thematic focus on regional tourism, highlighting the key role of “collective” knowledge management in information‐based industries whose products are non‐material (intangible) and knowledge is central to gaining competitive advantage. The results include a general model for practice‐oriented toolkits conceived of as separate software components from (but interoperable to) the community support system and devised to establish a place for engaging in the practice the community is about. This model is then used to build an operational toolkit for assembling vacation packages by cross‐organization virtual communities of practice.

Virtual communities of practice (or partnerships) necessitate smooth integration of community management and practice‐specific tasks and tools. Community management tasks can be supported by augmenting capabilities of existing community portals to allow for community registration, role undertaking, declaration of virtual assets, etc. Practice‐oriented tasks should be designed in such a way so as to capture and accommodate domain‐specific vocabulary.

Model‐based techniques and domain‐specific design languages are used as the unifying mechanism (i.e. software factory) for integrating community management and practice‐oriented artefacts. These techniques are designed and implemented into a software platform so as to facilitate the systematic accumulation and reuse of knowledge towards the construction of collective artefacts.

As the complexity and uncertainty of megaprojects make it difficult for traditional management models to address the difficulties, this paper aims to design a performance incentive contract through IT applications, thereby promoting the formation of an information-based governance mechanism for megaprojects and facilitating the transformation and upgrading of the construction management model of megaprojects to informatisation.

This paper introduced IT applications into the performance assessment and used the proportion of IT applications replacing traditional manual management as a variable. It analysed different replacement ratios to obtain the optimal solution for the change of contractors behaviours and promote the optimal performance incentive for the informatisation in megaprojects.

The results show that under the condition of the optimal replacement ratio, achieving the optimal state of a mutual win-win situation is possible for the benefit of both sides. The counter-intuitive finding is that the greater the replacement ratio is not, the better, but those other constraints are also taken into account.

This study enriched the research of the performance configuration incentive from a practical perspective. It extended the research framework of IT incentive mechanisms in the governance of megaprojects from a management theory perspective. It clarified the role of IT applications in incentive mechanisms and the design process of optimal incentive contracts under different performance incentive states. The incentives made the contractors work harder to meet the owner's requirements, and it could improve the efficiency of megaprojects, thus better achieving megaproject objectives.

Our economies are rapidly evolving toward being primarily service-driven, with information and communication as fundamental drivers for the service deployment. Strategic choices are increasingly driven by other parameters than the traditional goods-driven industrial type of economies. In this paper, the major drivers for making strategic choices in a competitive service economy are examined. It is shown how the competition in services based on information and communication technology (ICT) is competence-based. Competition aims at bringing additional value through services, but may also deploy specific techniques to stop value from leaking in particular business processes. Value creation and prevention of value leaks cannot just rely on the traditional material-based techniques, which are grounded in the strong tangible nature of the traditional economies. Today ICT-based services involve creative combinations of technologies, resources, and assets to answer as well as anticipate the growing demand for flexible solutions that create sustained added value. In this paper, the particular role of imperfections in service systems is explored, extending the well-known theories of information imperfections. Imperfections are not always solved but are sometimes even maintained in favor of sustained competitive advantage. Various ways to realize service rent are discussed with extensive examples. The concluding part of the paper points to some crucial service configuration issues, including the need for a sufficient degree of corporate-wide standardized service components and interfaces to address the growing demand for agility in competence-driven markets.

The purpose of this paper is to identify primary housing information data set to make an informed decision for key stakeholders to determine the most cost effective refurbishment solution among various alternatives in a building information modelling (BIM) system.

A building simulation approach in conjunction with a hypothetical case study using BIM software (Autodesk Revit) was adopted to identify primary housing information data set and to examine how housing information data set is processed within a BIM system.

Housing information data set such as physical dimensions, energy performance, associated costs, risk level, weather data and other relevant data should be prepared at the outset of a project to determine the most cost effective refurbishment solution. Furthermore, BIM can enable both clients and construction professionals to make informed decisions about diverse climate risk resistant options by providing reliable cost estimations of them at the early design stage.

Actual housing information for the BIM simulation is limited, and as a result, hypothetical housing information based on the UK Government data were used instead.

This research will provide essential housing information data set to utilize BIM effectively and efficiently for refurbishing climate risk vulnerable housing.

This research explores possibility to utilize BIM for climate risk mitigation in the housing sector, and reveals primary housing information data set for BIM to develop a climate resistant housing refurbishment solution.

This study provides a safety prewarning mechanism, which includes a comprehensive risk assessment model and a safety prewarning system. The comprehensive risk assessment model is capable of assessing nine safety indicators, which can be categorised into workers’ behaviour, environment and machine-related safety indicators, and the model is embedded in the safety prewarning system. The safety prewarning system can automatically extract safety information from surveillance cameras based on computer vision, assess risks based on the embedded comprehensive risk assessment model, categorise risks into five levels and provide timely suggestions.

Firstly, the comprehensive risk assessment model is constructed by adopting grey multihierarchical analysis method. The method combines the Analytic Hierarchy Process (AHP) and the grey clustering evaluation in the grey theory. Expert knowledge, obtained through the questionnaire approach, contributes to set weights of risk indicators and evaluate risks. Secondly, a safety prewarning system is developed, including data acquisition layer, data processing layer and prewarning layer. Computer vision is applied in the system to automatically extract real-time safety information from the surveillance cameras. The safety information is then processed through the comprehensive risk assessment model and categorized into five risk levels. A case study is presented to verify the proposed mechanism.

Through a case study, the result shows that the proposed mechanism is capable of analyzing integrated human-machine-environment risk, timely categorising risks into five risk levels and providing potential suggestions.

The comprehensive risk assessment model is capable of assessing nine risk indicators, identifying three types of entities, workers, environment and machine on the construction site, presenting the integrated risk based on nine indicators. The proposed mechanism, which adopts expert knowledge through Building Information Modeling (BIM) safety simulation and extracts safety information based on computer vision, can perform a dynamic real-time risk analysis, categorize risks into five risk levels and provide potential suggestions to corresponding risk owners. The proposed mechanism can allow the project manager to take timely actions.