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The complexity of the construction standards affects the relevance between the system internal elements. Therefore, research on the systematic effect can make the construction activities get the optimum benefit. The purpose of this paper is to discuss these issues.

The research reveals the complex adaptive characteristic of the standard system by using system science theory, analyzes the emergent property mechanism of construction standard system, and provides the mathematical form of the system.

Finally, according to the complex characteristic of standard system, the structure modeling method of complex system is given. This paper provides a new method and theory bases for the construction standard system establishment.

Dynamic, open and non-linear can be considered as the core characteristics of construction standard system in structure, environment and behavior aspects, and that means the standard system is a typical complex system.

The engineering construction standards in China play an important role in protecting the safety of the construction projects. They are the basic principles that standardize the construction activities and guarantee the quality of projects. However, there are many barriers that affect the adoption of the engineering construction standards. Therefore, the purpose of this paper is to investigate the barriers that challenge the adoption of the engineering construction standards in China.

The research reveals the barriers that affect the implementation of the engineering construction standards in China through a literature review. Then this study uses factor analysis to analyze 12 indices which we get from a questionnaire to build explanations from the results.

According to this paper, four main brands of uncorrelated variables are derived which are the main challenges in implementing the engineering construction standards in China: management barriers, policy barriers, knowledge barriers and market barriers. This paper gives a clear classification of the barriers that the enterprises face while adopting the engineering construction standards in China.

This paper makes a contribution to the understanding of the barriers that affect the adoption of the engineering construction standards in China.

Asset inventory is an essential part of any building asset management system and is needed by such functions as condition assessment and deterioration prediction. Previous studies in asset management systems have suggested the use of one of the many standard construction classification systems, such as UniFormat or MasterFormat, in achieving the goals of asset management. However, each classification system has its unique features, and it has been developed for different purposes and may not necessarily be directly adaptable to asset management. A proper classification system is thus needed to achieve the goals of building asset management effectively. Such a system must take into consideration the objectives and functions of asset management. Therefore, the purpose of this paper is to establish a unified work breakdown structure (WBS)-based framework for building asset inventory.

The WBS-based framework aims to cover the entire lifecycle of an asset so as to provide the unified classification system for asset inventory. The proposed framework is developed based on appropriate building standards. Also, comprehensive levels of details are included for space functions and locations for all assets in any type of building. Furthermore, this framework takes into consideration utilities in any kind of building project. As such, the WBS-based framework proposed in this research endeavor provides the basis for effective asset management. An educational building case study is presented and discussed to demonstrate the effectiveness of the proposed framework for asset management.

The unified WBS-based framework for building asset management effectively classifies asset inventories and facilitates decision-making in asset management during the lifecycle of an asset.

This research synthesizes a unified WBS-based framework for building asset management, which allows for a more effective lifecycle building asset management.

This study aims to develop a more inclusive working definition and a formalised classification system for offsite construction to enable common basis of evaluation and communication. Offsite manufacturing (OSM) is continuously getting recognised as a way to increase efficiency and boost productivity of the construction industry in many countries. However, the knowledge of OSM varies across different countries, construction practices and individual experts thus resulting into major misconceptions. The lack of consensus of what OSM is and what constitutes its methods creates a lot of misunderstanding across Architecture Engineering and Construction (AEC) industry professionals, therefore, inhibiting a global view and understanding for multicultural collaboration. Therefore, there is a need to revisit these issues with the aim to develop a deep understanding of the concepts and ascertain what is deemed inclusive or exclusive.

A state-of-the-art review and analysis of literature on OSM was conducted to observe trends in OSM definitions and classifications. The paper identifies gaps in existing methods and proposes a future direction.

Findings suggest that classifications are mostly aimed towards a particular purpose and existing classification system are not robust enough to cover all aspects. Therefore, there is need to extend these classification systems to be fit for various purposes.

This paper contributes to the body of literature on offsite concepts, definition and classification, and provides knowledge on the broader context on the fundamentals of OSM.

The number of construction dispute cases has maintained a high growth trend in recent years. The effective exploration and management of construction contract risk can directly promote the overall performance of the project life cycle. The miss of clauses may result in a failure to match with standard contracts. If the contract, modified by the owner, omits key clauses, potential disputes may lead to contractors paying substantial compensation. Therefore, the identification of construction project contract missing clauses has heavily relied on the manual review technique, which is inefficient and highly restricted by personnel experience. The existing intelligent means only work for the contract query and storage. It is urgent to raise the level of intelligence for contract clause management. Therefore, this paper aims to propose an intelligent method to detect construction project contract missing clauses based on Natural Language Processing (NLP) and deep learning technology.

A complete classification scheme of contract clauses is designed based on NLP. First, construction contract texts are pre-processed and converted from unstructured natural language into structured digital vector form. Following the initial categorization, a multi-label classification of long text construction contract clauses is designed to preliminary identify whether the clause labels are missing. After the multi-label clause missing detection, the authors implement a clause similarity algorithm by creatively integrating the image detection thought, MatchPyramid model, with BERT to identify missing substantial content in the contract clauses.

1,322 construction project contracts were tested. Results showed that the accuracy of multi-label classification could reach 93%, the accuracy of similarity matching can reach 83%, and the recall rate and F1 mean of both can reach more than 0.7. The experimental results verify the feasibility of intelligently detecting contract risk through the NLP-based method to some extent.

NLP is adept at recognizing textual content and has shown promising results in some contract processing applications. However, the mostly used approaches of its utilization for risk detection in construction contract clauses predominantly are rule-based, which encounter challenges when handling intricate and lengthy engineering contracts. This paper introduces an NLP technique based on deep learning which reduces manual intervention and can autonomously identify and tag types of contractual deficiencies, aligning with the evolving complexities anticipated in future construction contracts. Moreover, this method achieves the recognition of extended contract clause texts. Ultimately, this approach boasts versatility; users simply need to adjust parameters such as segmentation based on language categories to detect omissions in contract clauses of diverse languages.

Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

The purpose of this paper is to present findings of a capacity building project on construction health and safety that is recently completed in Pakistan. The major objectives of this project are: first, to benchmark the current state of construction health and safety practices in Pakistan and to identify the data needs for continuous performance measurement; second, to develop health and safety guidelines; third, to develop adequate educational and training material; and finally, to improve the existing regulatory infrastructure for worker health and safety.

Mixed-methods approach is adopted for data collection which included site observations, surveys, semi-structured interviews, and case studies. The methodology consists of following major tasks: first, literature review and study of best practices; second, investigation of existing safety practices and development of guidelines; third, educational and training programs for construction professionals and educators; and finally, development of a strategic framework for continuous improvement in construction safety culture, laws, and practices. Collected data were analyzed using various qualitative and quantitative data analysis methods.

The enforcement of health and safety regulations on construction sites is very limited in Pakistan. Procedures for formulating, implementing, and monitoring safety rules and regulations are weak, and the implementation of safety management systems does not occur on most construction sites. The paper presents a detailed plan to improve the health and safety culture, laws, and practices in Pakistan.

Detailed proposals for improving existing construction health and safety laws and regulations are prepared for relevant regulatory and statutory bodies and ministries in Pakistan. From an educational perspective, comprehensive health and safety training material are developed and training workshops are conducted in major cities of Pakistan. Over 1,000 construction professionals benefited from these workshops.

The project helped in raising awareness about construction health and safety in Pakistan.

The project benchmarked existing health and safety practices in Pakistan. It identified data needs for continuous monitoring of health and safety performance and provided a mechanism for collecting such data. The project produced international standard health and safety training material that can fulfill the local needs. The project deliverables are extremely helpful for other developing countries in the region.

This paper proposes a novel hybrid simulation approach that incorporates the structural equation model (SEM) and system dynamics (SD) to investigate the impacts of leadership dynamics on project performance under different scenarios.

SEM is used to identify and validate a correlation between leadership variables and project performance statically. On this basis, the SD model is constructed to depict a system model connecting the leadership and project performance. Different scenarios are simulated to dynamically model the variation in leadership on the evolution of project performance.

Results indicate that (1) leadership can be divided into personal ability, relationship atmosphere and organizational strategy in complex construction projects; (2) personal ability, relationship atmosphere and organizational strategy positively correlate with project performance over time; and (3) L1 (stress management ability), L7 (team building) and L17 (institution support) are the leading factors influencing project performance and should be paid more attention under limited resources.

This research contributes to (1) the state of the knowledge by proposing a hybrid methodology that can systematically model the impacts of leadership dynamics on project performance over time and (2) the state of the practice by gaining a better understanding of the strategy of resource distribution for enhancing project performance in complex construction projects.

Besides ensuring traditional project objectives, expatriate construction professionals (EXCPs) working on international projects face challenges adapting to unfamiliar environments with varying construction standards, work practices and cultural values. This puts them at a high risk of job burnout. Thus, this study aims to investigate the antecedents and outcomes of EXCPs' job burnout in the international construction industry.

Based on the Job demands-resource model (JD-R), a theoretical framework was developed. Industry-specific stressors and expatriate management practices were identified using a literature review and interviews. The authors then used a questionnaire survey to collect data from Chinese EXCPs. Exploratory factor analysis, confirmatory factor analysis and structural equation modeling were then utilized to test hypotheses.

The findings indicate that early-career EXCPs experience the most severe levels of job burnout. The paths analysis proved the direct and indirect mitigating effects of expatriate management practices on job burnout, and EXCP's job burnout was associated with poor job performance and decreased intention to stay in the international assignment.

While prior research has explored job burnout among construction professionals working on domestic projects, little attention has been given to EXCPs and their unique challenges. This study aims to fill this critical gap in the literature by offering a unique perspective on the antecedents and outcomes of job burnout among EXCPs in international contexts and presents a significant contribution to understanding and addressing occupational health issues faced by EXCPs.

The customer order decoupling point (CODP) concept addresses the issue of customer engagement in the manufacturing process. This has traditionally been applied to material flows, but has more recently been applied to engineering activities. This later subject becomes of particular importance to companies operating in “engineer-to-order” (ETO) supply chains, where each order is potentially unique. Existing conceptualisations of ETO are too generic for practical purposes, so there is a need to better understand order penetration in the context of engineering activities, especially design. Hence, the purpose of this paper is to address the question “how do customer penetration concepts apply to engineering design activities?”

A collaborative form of inquiry is adopted, whereby academics and practitioners co-operated to develop a conceptual framework. Within this overarching research design, a focus group of senior practitioners and multiple case studies principally from complex civil and structural engineering as well as scientific equipment projects are used to explore the framework.

The framework results in a classification of nine potential engineering subclasses, and insight is given into order penetration points, major uncertainties and enablers via the case studies. Focus group findings indicate that different managerial approaches are needed across subclasses.

The findings give insight for companies that engage directly with customers on a one-to-one basis, outlining the extent of customer penetration in engineering activities, associated operational strategies and choices regarding the co-creation of products with customers. Care should be taken in generalising beyond the sectors addressed in the study.

The paper refines the definition of the ETO concept, and gives a more complete understanding of customer penetration concepts. It provides a comprehensive reconceptualization of the ETO category, supported by exploratory empirical research.