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The quantity of construction technology innovations in patent database grows at a high speed. More challenging technical problems require knowledge workers to make full use of the huge existing technology innovation knowledge base to propose new innovative solutions. Hence, it is critical to deliver the right knowledge to the right people at the right time. To improve innovation efficiency and effectiveness, this research explores the development of a new patent knowledge management system to satisfy the increasing demand of construction innovations.

TRIZ-based patent knowledge management system (TPKMS) development involves the integration of construction patent knowledge management, theory of inventive problem-solving (TRIZ) theory, database techniques and computer programing technology. The contradiction matrix in TRIZ theory serves as the patent knowledge extraction framework, while SQL Server 2000 database management system is employed to manage the extracted patent knowledge, TRIZ and user account information. Visual C++ 6.0 is adopted as the development tool.

The developed system to manage construction patent knowledge integrates TRIZ with the database design, enabling the system users to be more problem-focused, systematic and efficient. The system provides a heuristic environment to help improve the innovation effectiveness by motivating knowledge workers’ innovative thinking. Further development of the system is proposed in the context of the age of big data.

A new TRIZ-based patent knowledge management system for construction technology innovation was developed.

The preferences and adoption of recycled materials by consumers are subject to a variety of factors, such as enablers and barriers. Despite this, there exists a paucity of research concerning stakeholders' perceived value and real purchase decision towards recycled products. Consequently, this research study aims to fill this gap by investigating stakeholders' perceived value of recycled products derived from construction and demolition (C&D) waste and its effect on purchase decisions.

Research data were collected from 219 valid questionnaires completed by Chinese stakeholders. Structural equation modeling (SEM) was then employed to test eight hypotheses.

The results show intrinsic cue (materials) and extrinsic cue (brand) influence the stakeholders’ judgment on C&D waste recycled products’ value and then their purchase intention. However, cues such as quality, word-of-mouth, price, policy and advertised have not play a significant role in practice.

This research study verified the significance of brand and material cues on decision making for purchasing C&D waste recycled products, providing new insights to policy making to enhance the uptake of C&D waste recycled products in construction industry.

A growing number of foreign consulting firms have been engaged in the Chinese construction market where the supervision system, as a kind of engineering consultant service has been widely implemented. However, the performance of supervision system varies significantly across regions. Therefore, foreign consulting firms are in desperate need of related performance benchmarking statistics to determine the niche market. A major issue is lack of a quantitative method to objectively evaluate regional supervision systems’ performance. The paper aims to discuss these issues.

A new regional construction supervision system benchmarking model was developed via the principal component analysis method. This model is based on key performance indicators drawn from annual official statistics. This list of key indicators was refined by means of a focus group with selected experts. Consequently the performances of all 31 regional supervision systems were calculated and ranked.

Results indicate a general gap between coastal and inland regions. The various development trends of top 10 regions are analyzed and the underlying reasons are explored. Furthermore, the regions deserving more attention or currently lacking in development are identified. The supervision industry in China is shifting from a labor-intensive industry to a knowledge-intensive industry.

The proposed model provides a single quantitative parameter to conveniently benchmark the performance of various regions. The findings are vital for the benchmarking and clarification of future endeavor of the regional supervision systems and for foreign enterprises that are planning to enter the real-estate market in China.

Understanding the frontier difference between building information modeling (BIM) research and practice is a top priority to guarantee the engineering significance and feasibility of academic achievements, yet such research gap has not been well-explored. The purpose of this paper is to provide an objective and accurate analysis of BIM knowledge using 551 published BIM-related papers and 68 documents of frontier BIM projects in China.

This paper adopts the mixed method, combining the bibliometrics method with the qualitative method. Bibliometrics was used to analyze 551 BIM-related literatures from China with Citespace 5.0. Qualitative research was used to analyze 68 project documents from China with Nvivo. Finally, the analysis results are compared to obtain the final conclusion.

The analysis results of the collected BIM-related papers, given by bibliometrics analysis, show that the subject categories of engineering, civil engineering, and construction and building technology, and 8 key research clusters are extremely important for development of BIM knowledge. The analysis results of the collected project documents, given by qualitative analysis, indicate that visualization, aided management, intelligent construction, simulation and analysis are the hot applications of BIM practice.

Through comparison, certain research gaps between the research and practice community in China was identified, which are useful for identification of research trends and practice frontier in BIM community. This study offers useful and new insights to summarize the status quo of BIM and can be used as a reference to integrate future BIM developments.

Some researchers claim that trust can directly affect knowledge sharing but others consider that it is a mediator between some independent variables and knowledge sharing. So the purpose of this paper is to investigate whether trust is a mediator for knowledge sharing in the construction industry.

Personal construct theory is employed to test the mediation role of trust in architectural design teams. A questionnaire survey of architects is conducted in Beijing, Shanghai and Qingdao, People's Republic of China. The mediator model is tested using structural equation modeling.

The paper shows that the mediation role of trust between two personal construct based factors, i.e. social interaction (SI) and attitude on work (AttonW) and willingness to share knowledge is supported.

As the paper focusses on architects working in the early-design stage of a project, the findings may not be applicable to other stages. In future, other project actors should also be considered so as to investigate the issues in construction management in a more comprehensive way.

The results suggest that team managers should improve the SIs between team members and provide guidance to team members about the correct attitude on work so that the level of interpersonal trust can be enhanced, thereby knowledge sharing is encouraged.

The personal construct theory developed in clinical psychology is applied to study the mediation role of trust for knowledge sharing in the construction industry. The interdisciplinary research offers a theoretical framework to reveal the cognitive process of knowledge sharing.

An important assumption in testing theoretical models is measurement invariance. However, little research in construction project management investigates the issue of measurement invariance. To bridge the gap, the current paper aims at: first, testing trust measurement invariance in project teams across gender; second, delineating various measurement invariance tests and demonstrating them with Amos; and last but not least, increasing researchers' awareness about measurement invariance issue in the construction project management field.

The measurement invariance of trust across gender is investigated using survey data collected from architects in project design teams of A-level architectural design institutes in China. Multisample confirmatory factor analysis is conducted with Amos to test configural invariance, metric invariance, scalar invariance, factor covariance and variance invariance, error variance invariance, latent mean invariance of the Chinese version of McAllister's two-dimension trust scale.

All the test results of the above invariances are supportive. Goodness-of-fit indexes such as CFI deserve more empirical studies to verify.

The results imply that the trust structure of male and female architects is equivalent. In other words, male and female architect data of trust research in construction project management could be aggregated.

It is recommended that test of measurement invariance should be conducted while new measurement scales are under construction.

Since all the invariance tests are rarely conducted within a single study, the current research is the first paper to investigate the measurement invariance issue in the construction industry.

The purpose of this paper is to examine the validity of the theory of reasoned action as a general framework to predict knowledge‐sharing behavior and offer practical guidance to promote knowledge sharing in the Chinese construction sector.

Based on survey data, structural equation modeling was applied to test the theory of reasoned action in the architectural design project team context in China.

The results suggest that attitude toward knowledge sharing is more important than subjective norms in determining architects' willingness to share knowledge. But the two factors are positively correlated.

Although theory of reasoned action provides us with a powerful prediction model, it cannot explain the underlying mental processes. More attention should be paid to the development of the explanatory model in future researches.

The results presented in this paper usefully imply that team managers should focus more on training architects to have a positive attitude toward knowledge sharing, so as to increase knowledge‐sharing behaviors. Moreover, the architectural design organizations should build up a knowledge‐sharing culture so that architects' attitudes toward knowledge sharing become more positive.

There has been a growing attention to building information modeling (BIM) globally due to its benefits to various stages of a building’s life cycle. To facilitate the implementation of BIM in the construction industry effectively, the purpose of this paper is to gain a better understanding of the mechanism for BIM adoption by practitioners such as architects.

A questionnaire survey of architects is conducted in Shenzhen, China. A structural equation model is built with survey data to identify the key factors affecting architects’ BIM adoption in the design firms.

It is found that motivation, technical defects of BIM and BIM capability are the statistically significant factors affecting architects’ BIM adoption whereas management support and knowledge structure are not.

Only one architectural, engineering and construction (AEC) profession, i.e. architects were selected as research participants. In future, other professions such as construction engineers, project managers, etc. should be investigated with respect to their BIM adoption issues.

BIM technology developers should improve the technology along the objectives of economic benefits, effectiveness and efficiency of BIM adoption. The compatibility and integration between BIM and other widely available software in the industry should also be improved. Moreover, AEC company and project managers should provide architects with opportunities of BIM training so that architects are more likely to apply BIM in future projects.

A quantitative theoretical model, i.e. structural equation model is built to identify key factors affecting architects’ BIM adoption, which takes one step further to reveal the BIM adoption mechanism in contrast to previous descriptive-oriented studies.

The complexity of knowledge in architectural design results in its unique management characteristics not being fully recognized and appreciated. Little research has been done in this area. This paper aims to bridge this knowledge gap.

A multiple‐case study methodology is applied to identify the knowledge sharing pattern in architectural design institutes in the People's Republic of China. Content analysis is employed to analyse the qualitative data collected by in‐depth interview, site observation and document review.

The results show that individual architects share their own knowledge by means of reflection‐in‐action, conversation and problem solving. Either formal or informal mentoring, legitimate peripheral participation, communities of practice and workshops are the major mechanisms for architectural design institutes to share organizational knowledge but the knowledge sharing pattern are quite different for different kinds of architectural design institutes.

The major limitation of this research is associated with sample selection. Although the cases being selected are fairly representative of the architectural design institutes in People's Republic of China, not all types of architectural design institutes are included due to the availability of data.

The identified knowledge sharing patterns can help managers of architectural design institutes as well as individual architects to better understand how knowledge is shared in their field and how to improve their overall performance.

This paper contributes to the existing body of research on how knowledge is shared in the construction industry. In particular, a knowledge sharing pattern is identified to offer insights in architectural design institutes in China. The paper addresses a number of research questions which are not fully explored in current literature.