Modelling stakeholder-associated risk networks in green building projects

Research on the risk transmission mechanism of international construction projects based on complex network

The risk transmission process between international construction projects largely contributes to the dilemma of risk management of international construction projects. Firstly, this paper adopts methods such as literature review and brainstorming to identify the risks in international construction projects from all aspects and all stages. Connections between risks is built by the Delphi method and further construct the international construction project risk network. Combined with "ucinet", a network visualization analysis tool, overall feature parameters and local feature parameters are presented for analysis as the focus. Starting from this, the risk transmission in complex construction projects is analyzed to identify key risks and transmission relationships and reveal inherent laws of risk transmission. Accordingly, when formulating risk prevention strategies for international engineering projects, it is proposed that measures to curb risk transmission should be effectively adopted from both key risks and their transmission relationships.

Green buildings and maintenance planning practices in Malaysia

Purpose

Green building (GB) maintenance is increasingly accepted in the construction industry, so it can now be interpreted as an industry best practice for maintenance planning. However, the performance competency and design knowledge of the practice's building control instrument process can be affected by its evaluation and the information management of building information modelling (BIM)–based model checking (BMC). These maintenance-planning problems have not yet been investigated in instances such as the Grenfell Tower fire (14 June 2017, approximately 80 fatalities) in North Kensington, West London.

Design/methodology/approach

This study proposes a theoretical framework for analysing the existing conceptualisation of BIM tools and techniques based on a critical review of GB maintenance environments. These are currently employed on GB maintenance ecosystems embedded in project teams that can affect BMC practices in the automation system process. In order to better understand how BMC is implemented in GB ecosystem projects, a quantitative case study is conducted in the Malaysian public works department (Jabatan Kerja Raya (JKR)).

Findings

GB ecosystem projects were not as effective as planned due to safety awareness, design planning, inadequate track insulation, environmental (in) compatibility and inadequate building access management. Descriptive statistics and an ANOVA were applied to analyse the data. The study is reinforced by a process flow, which is transformed into a theoretical framework.

Originality/value

Industry practitioners can use the developed framework to diagnose BMC application issues and leverage the staff competency inherent in an ecosystem to plan GB maintenance environments successfully.

A stakeholder perspective on social stability risk of public–private partnerships project for water environmental governance in China: A social network analysis

The pluralism of stakeholders in PPP project for water environmental governance and the complex interrelationship among stakeholders are the important factors affecting social stability risk. Previous studies have mainly focused on risk identification and assessment. We aim to investigate the key social risks of PPP project for water environmental governance, to understand which social risks stakeholders are concerned about, and what interactions they follow. First, relevant risks and their interrelationships were investigated through a literature review and interviews. Second, the key social stability risks were identified based on social network analysis. Third, strategies were proposed to mitigate the social stability risks. The results show that government corruption, government intervention risk, approved risk, poor contract design risk price change and policy and regulation risk are the key risks with the highest in/out-degree, centrality and ego network size. Four core stakeholder groups (i.e., government, contractors, project companies, and the public and the media) and four core challenges (i.e., difficulties in financing, lack of mass incidents prevention mechanism, incomplete project schedule control system and improper handling of benefit compensation issues) have intensive relationships. We concluded that controlling the complicated relationships among four core stakeholder groups can reduce the social stability risks. The social network analysis framework combining stakeholder management and risk management provides a reference for the management of PPP projects for water environmental governance.

Modelling barriers to wearable technologies in Indian context: validating the moderating role of technology literacy

Purpose

The purpose of this study is to examine diverse risks and barriers that influence customers' attitude leading to their actual use of wearable devices in India. This study used technological literacy as a moderating variable to understand the relationship between barriers and attitudes toward adoption of wearable device.

Design/methodology/approach

A survey questionnaire was developed through focused group discussions with field experts. Data were collected through online as well as offline modes. A Google form was created and its weblink was shared with the respondents using wearable devices. Both online as well as offline modes were used for data collection. Several reminders through telephone and revisits were undertaken to approach the respondents.

Findings

The results of this study indicated that psychological risk and financial risk emerged strongest barriers of wearable technologies. This was followed by infrastructure barriers and performance risk. The strength of the relationship between technological anxiety and attitudes was lower but still significant. Surprisingly, privacy risk and social risk were not statistically significant. This study also validated the impact of technological literacy as a moderator between risks and attitudes.

Originality/value

This study contributes to the research by validating numerous risks and barriers in the adoption of wearable devices. This study not only offers a novel perspective on researching diverse barriers but also elucidates the moderating role of technological literacy which has not been covered in extant literature.

Proposal of Risk Identification Methodology Using the Prompt List on the Example of an Air Carrier

Risk management and safety are often-mentioned topics that dominate, especially in this period. The Safety Management System (SMS) is based on risk management, the implementation of which is required in air transport as well as in other modes of transportation. The fact is that the safety of passengers and staff is a priority for every airline, and such individuals are exposed to some common groups of risks. Risk identification is vital in successful risk management as only identified risks can be managed. Based on a study of published frameworks and standards, a risk identification methodology was designed using a prompt list of a logically arranged list of risks concerning typical aviation activities and the specific environment in which the methodology operates. The prompt list was compiled based on a context analysis, which focused on internal and external contexts and on which the structure of the prompt list was based so that risks could be moved from the list to a risk register for further processing based on various criteria. The list contains risks from several areas (economic, ecologic, social, individual, business, marketing, etc.). The design of the prompt list itself also includes a proposal for a methodology for its compilation, use, and updating.

An analytic network process model to prioritize supply chain risks in green residential megaprojects

Megaprojects and specifically ‘green’ construction of residential megaprojects can contain significant risks of failure. To design proper risk mitigation strategies, after identifying key risk factors, the next step is to conduct assessments that would facilitate the process of risk element prioritization. Risk assessment comprises the establishment of factor interrelation and discerning the indicators of importance. This research proposes a novel version of an integrated prioritization method and analyzes twelve all-inclusive key supply chain oriented risk factors identified in a previous study. Through a comprehensive literature review three criteria, impact, probability, and manageability are selected. Also, a fourth criterion namely influence rate is included in the model, based on the driving powers that can also be derived from the Interpretive Structural Modeling’s (ISM) assessment. Fundamentally, the calculations hinge on the Analytic Network Process (ANP) method which provides an assessment of the alternatives’ weights based on pairwise comparisons concerning the criteria specified. To enhance the accuracy of the perceptive judgments of the expert panelists, a bell-shaped fuzzy function is used to convert the verbal statements to crisp values. In addition, Row Sensitivity Analysis is administered to check the stability of the results and provide predictive scenarios. To validate the model, a case study, located in Iran, was conducted, where an expert panel consisting of four individuals made the pair-wise comparisons through an ANP questionnaire. Results indicate priority and sensitivity of the alternatives concerning criteria, for the case under study.

Risk Network Evaluation of Prefabricated Building Projects in Underdeveloped Areas: A Case Study in Qinghai

Prefabricated building projects (PBPs) face more risks than traditional construction projects, especially in underdeveloped areas. This study takes Qinghai Province as a study case. Social network analysis (SNA) is adopted to develop a risk network of PBPs, and nine core risk factors and five key risk relationships are identified. Risk effect detection reveals the effectiveness of risk response strategies. The research shows that PBPs in underdeveloped areas are still in the early stage of development, and developers generally lack a leading role. There are prominent problems in the design stage of PBPs, so the stakeholders pay special attention to them. In underdeveloped regions, the development of PBPs must rely on the strong promotion of the government. Limited by natural and economic conditions, the market mechanism of PBPs in underdeveloped areas is not perfect, and policy regulation greatly affects the spread of the risk network. Therefore, local governments need to actively introduce corresponding supportive policies and mobilize the enthusiasm of stakeholders. This is the first study to consider the risk within the life cycle of PBPs in underdeveloped plateau areas. This study expands the research system of risk management of PBPs and provides valuable risk response strategies for the stakeholders.

Social network analysis in business and management research: A bibliometric analysis of the research trend and performance from 2001 to 2020

In the past years, research in Social Network Analysis (SNA) has increased. Initially, the research area was limited to sociology and anthropology but has now been used in numerous disciplines. The business and management discipline has many potentials in employing the SNA approach due to enormous relational data, ranging from employees, stakeholders to organisations. The study aims to analyse the research trend, performance, and the utilisation of the SNA approach in business and management research. Bibliometric analysis was conducted by employing 2,158 research data from the Scopus database published from 2001 to 2020. Next, the research quantity and quality were calculated using Harzing's Publish or Perish while VOSviewer visualised research topics and cluster analysis. The study found an upward trend pattern in SNA research since 2005 and reached the peak in 2020. Generally, six subjects under the business and management discipline have used SNA as a methodology tool, including risk management, project management, supply chain management (SCM), tourism, technology and innovation management, and knowledge management. To the best of the authors' knowledge, the study is the first to examine the performance and analysis of SNA in the overall business and management disciplines. The findings provide insight to researchers, academicians, consultants, and other stakeholders on the practical use of SNA in business and management research.

Designing a sustainable supply chain network for producing high-value products from waste glass

This paper aims to design a supply chain network for producing double glazed glass from the recycling of waste glass. All three pillars of sustainability are taken into consideration. The economic objective tries to maximize total profits. The environmental objective considers the energy consumption, the generated waste, the greenhouse gas emission, the water consumption, and the fuel consumption of vehicles. The social objective addresses created job opportunities, the worker safety, the regional development, the worker benefit, and training hours. To solve the model, a two-stage framework based on the group best-worst method and an interactive fuzzy programming approach is developed. The proposed model is validated through a real case study based on waste glass management in the city of Shiraz. It is revealed that when sustainable development goals are approached, a great degree of improvement will be attained in environmental and social aspects without a significant decrease in the economic sustainability. The results also demonstrate that the locations of glass recycling centres are different under economic, environmental, and social pillars, and the proposed model yields an optimal system configuration with a proper satisfaction degree of all objectives. Moreover, applying the proposed solution procedure enables system designers to obtain the most desirable trade-off between different aspects of sustainability.

Improving Construction Industrialization Practices from a Socio-Technical System Perspective: A Hong Kong Case

Construction Industrialization (CI) tends to improve industrial performance and contributes substantially towards global sustainability. Considering these merits, many countries and regions, including Hong Kong, have released policies to promote CI uptake. However, those policy interventions ignore the dynamic influence of stakeholders and technologies, which significantly influence the efficient management of CI. In response, this study aimed to objectively depict a real socio-technical system of CI uptake based on a representative case study in Hong Kong. Further, this study identified the critical issues associated with the CI uptake and proposed policy-related recommendations to overcome the key issues. In addition, this study proposed a novel approach based on two-mode social network analysis to facilitate the analysis from a socio-technical perspective. Theoretically, this depicts the interactions of construction industry stakeholders and artifacts within a dynamic, complex socio-technical environment, indicating a new stance for construction management. Finally, this research also provides valuable implications for the government to anticipate the impact of different CI policies on promoting its uptake within the complex socio-technical system.

Factors Influencing Modern Timber Structure Building Development in China

In China, modern timber structure (MTS) has great market potential as an advanced architectural technology and corresponds to the direction of construction industrialization. However, the MTS building sector is still developing slowly, despite previous efforts by the Chinese government to promote its development. The development of the MTS building industry involves numerous stakeholders, and the complex relationships and behaviors of stakeholders are regarded as the reason for slow development. Therefore, this study aims to investigate the influencing factors related to MTS building from the stakeholders’ perspectives. The social network analysis (SNA) method was used to explore the key factors affecting MTS building development and analyze the interactions of influencing factors. Nine stakeholders were identified, and 23 influencing factors associated with these stakeholders were determined based on a literature review, questionnaire survey and interviews with specialists. The critical factors were government policy, the public’s understanding and acceptance, market positioning and development cost. In addition, the relationships of designer, prefabricated component manufacturer, and construction enterprise were very close. Based on the findings, corresponding countermeasures were put forward, including policy incentives and support expansion, technical specification system improvements, public awareness reinforcement, and the strengthening of personnel training, etc. This paper contributes to the developmental improvement of the MTS building sector in China.

Risks Identification and Management Related to Rural Innovation Projects through Social Networks Analysis: A Case Study in Spain

Risk identification and management are essential in innovation projects in the rural context, where cultural differences and relations between actors are decisive for assuring a project success. Risk management is especially important when considering innovation processes in rural areas that experience conflict or are lagging in development. Although there are studies focusing on the interaction of actors, there are only a few that approach the risks associated with stakeholders. This research aims to identify the risks and the associated stakeholders and draws on a risk map in order to develop effective risk management and action plans to mitigate risk. A rural project optimizing irrigation in Spain was taken as a case study and conduct semi-structural interviews with key actors were conducted. Social Network Analysis (SNA) was applied to recognize and investigate the network of stakeholder-associated risk factors. The main risks identified in the project were associated with technical, economic, and time problems and with irrigation communities and project developers. These findings offer a new visual perspective of risk management in rural innovation projects, improving the ability to assess and efficiently mitigate the risks.

Developing and Applying a Model for Evaluating Risks Affecting Greening Existing Buildings

Improving building performance through reducing negative environmental impacts can be achieved by greening existing buildings (GEB), which is considered a very important sustainability process. Due to the risky and uncertain nature of the process of GEB, a growing amount of attention should be given to eliminating the effects of risks on GEB. This research aims to identify most expected risk factors related to GEB, as well as to evaluate their effects through calculating risk factor characteristics, such as risk factor presence (RFP), impact on the GEB process (IGEB), and impact on building performance in the long run (IBP), as new indices describe these risks. Sixty-six risk factors were categorized in seven risk groups related to the economic aspect, social aspect, environmental aspect, managerial aspect, sustainability operation, sustainable design, and renovation. Moreover, a fuzzy model for risk analysis was developed to combine the multi-effects of the aforementioned three risk factor characteristics in one index representing the risk factors’ overall importance. The model was applied and verified for data collected in Saudi Arabia. The results of this study showed that the most important risk group is the greening process of environmental control, while the least important is the greening process of renovation and construction. Using the proposed model improved the results of evaluating risks affecting GEB through merging the multi-effects of risk factor characteristics. The results and analysis proved that the most important key risk factors were environmental in nature. An intricate relationship of the impacts on the GEB process and building performance with the overall importance of the risk factors was clearly found. The decision makers who deal with greening projects in Saudi Arabia should be aware of the key risks identified in this study. The proposed methodology and model can be easily applied to other countries to help decision makers in evaluating their GEB projects, as well as comparing more greening projects based on risk analysis.

Stakeholder Analysis in the Feasibility Process of Projects: A Structural Evaluation of the Power-Oriented Relationship

The feasibility process of public construction projects is under the influence of stakeholders, who give direction to public resource allocation. Therefore, the analysis of stakeholders in this process is critical. An inductive qualitative approach was adopted using the grounded theory method to provide a theoretical explanation of stakeholders’ behaviors. Under the insight of structuration theory, the results indicated that the challenges are derived from various interrelated factors, leading to the emergence of improper participation as a macro-structural phenomenon with multilateral interaction with a power-oriented relationship as a micro behavior in the feasibility process at the agency level.

Project Portfolio Construction Using Extreme Value Theory

Choosing proper projects has a great impact on organizational success. Firms have various factors for choosing projects based on their different objectives and strategies. The problem of optimization of projects’ risks and returns is among the most prevalent issues in project portfolio selection. In order to optimize and select proper projects, the amount of projects’ expected risks and returns must be evaluated correctly. Determining the relevant distribution is very important in achieving these expectations. In this research, various types of practical distributions were examined, and considering expected and realized risks, the effects of choosing the different distribution on estimation of risks on construction projects were studied.

Exploring the Risk Factors of Infrastructure PPP Projects for Sustainable Delivery: A Social Network Perspective

Due to the relatively long period and large capital flow of public-private partnership (PPP) projects, PPP participants are faced with a complex risk situation impeding the sustainable project delivery. In recent years, risk management of PPP projects has received increasing attention. In this paper, twenty risk factors associated with infrastructure PPP projects were identified by literature review and in-depth case studies. Relationship data for these twenty typical risk factors were obtained through structured interviews. Based on the obtained data, the risk relationship network within infrastructure PPP projects was identified, and the network structure characteristics were analyzed, including individual node attributes and the influence and cohesion of subgroups. The results indicate that key risk factor nodes can form a reaction chain via bridge nodes that can trigger a risk domino effect within PPP projects. Specifically, the key risk factors of PPP projects are divided into two categories, the first of which include risk factors that have powerful and independent influence, such as delay in government approval, government credit, and imperfect legal and regulatory systems. The second category includes risk factors that are highly vulnerable and easily influenced, such as completion risks, insufficient revenue in the market, and fee change. A key risk factor reaction chain is one in which legal change leads to a decline in government credit rating, triggering a contract risk. Twelve bridge nodes were identified that play an important intermediary role in the network, e.g., legal change, public objection, and financing risk. This paper extends the application of social network analysis in PPP projects management research and identifies the key risk factors and crucial factors influencing chain reactions in PPP projects. The results provide a more in-depth understanding of sustainable PPP project management for government agencies and private enterprises.

Using Network Theory to Explore BIM Application Barriers for BIM Sustainable Development in China

Building Information Modeling (BIM) technology has promoted the development of the architecture, engineering, and construction (AEC) industry, but has encountered many barriers to its application in China. Therefore, identifying the barriers to BIM application and capturing their interactions are essential in order to control and eliminate the determined barriers. From this standpoint, 23 BIM application barriers were identified through a literature review and expert interviews. Furthermore, the interactions among them were determined based on the Delphi method, which was the foundation for establishing the BIM application barrier network (BABN). Then, the software Pajek was employed to construct the network model and reveal its topological characteristics based on complex network theory, including degree, betweenness, eigenvector, clustering coefficient, network diameter, and average path length. As indicated by the results, BABN possesses scale-free network property because its cumulative degree distribution obeys power–law distribution. BABN is also a small-world network, due to its relatively high clustering coefficient as well as small average path length, implying that barrier propagation in BABN is fast. In addition, the results are discussed and recommendations are proposed. This research will help BIM stakeholders to develop coping strategies to control and eliminate BIM application barriers for the sake of driving BIM sustainable development.

The effects of subcontracting forms on the sustenance of SMEs

Purpose

Despite the potential of SMEs in economic development, their activities have remained largely unsustainable in Nigeria. These enterprises are constrained by a number of challenges- high cost of production, poor power supply, high infrastructural deficit etc. which have made there operations largely unproductive. The purpose of this paper is to examine the effects of production subcontracting forms on the sustenance of small and medium enterprises as a panacea for achieving the targets of goal 8 of sustainable development goals (SDGs) in Enugu State, Nigeria.

Design/methodology/approach

The paper adopted a number of methods comprising of field observations, a reference to relevant literature and a questionnaire survey of 96 SMEs. The paper also adopted a quantitative approach comprising of simple descriptive statistics of mean and standard deviation as well as regression analysis to analyze the data.

Findings

This paper found that the three forms of production subcontracting (supplier, specialized and capacity subcontracting) identified in the paper were used by SMEs to achieve sustenance (cost reduction, risk reduction and access to resources) in their operations. The paper suggests that the sustenance of SMEs through the utilisation of the different forms of subcontracting can become a strategy towards achieving the targets of SDG 8 in Nigeria.

Practical implications

This paper has shown that the prevalent high cost of production and ever-increasing production risks, which are the common features of SMEs in Nigeria, can be mitigated through the various forms of production subcontracting analysed in this paper. SMEs, through seminars, workshops, entrepreneurship and business fares, can be encouraged to take up this strategy, considering its ability to address their various operational bottlenecks.

Originality/value

This study adds to the limited available evidence concerning the effects of subcontracting forms on the sustenance of SMEs in Nigeria. This study is the first to consider subcontracting forms and how they have led to sustenance SMEs in Nigeria.

Development of Project Risk Management framework based on Industry 4.0 technologies

Purpose

The purpose of this paper is to identify the risks involved in the construction project based on a literature survey (LS), to develop a project risk management (PRM) framework based on Industry 4.0 technologies and to demonstrate the developed framework using Internet of Things (IoT) technology.

Design/methodology/approach

A comprehensive LS was carried out to know the different risks involved in the construction project and developed a PRM framework based on Industry 4.0 technologies to increase the effectiveness and efficiency of PRM. Heavy equipment and parameters were identified to demonstrate the developed framework based on IoT technology of Industry 4.0.

Findings

This paper demonstrates Industry 4.0 in the various stages of PRM. LS has identified 21 risks for a construction project. The demonstration of the PRM framework has identified the sudden breakdown of equipment and uncertainty of equipment as one of the critical risks associated with heavy equipment of construction project.

Research limitations/implications

The project complexity and features may add a few more risks in PRM.

Practical implications

The PRM framework based on Industry 4.0 technologies will increase the success rate of the project. It will enhance the efficiency and effectiveness of PRM.

Originality/value

The developed framework is helpful for the effective PRM of construction projects. The demonstration of PRM framework using IoT technology provides a logical way to manage risk involved in heavy equipment used in a construction project.

Implementing LEED v4 BD+C Projects in Vietnam: Contributions and Challenges for General Contractor

Sustainable construction addresses both rising housing demand and the need to reduce energy consumption, but is not yet widespread in Vietnam, although the number of Green Building Certified projects has increased significantly since 2015, especially those with LEED certification. Certification adds value to the project but also incurs additional costs and implementation challenges for general contractors (GCs) and other stakeholders. The growing popularity of LEED buildings requires GCs to understand their role in fulfilling the LEED requirements. We therefore conducted a thorough review of the previous research on LEED v4 guidelines and their local equivalents to determine what is expected of GCs working on LEED v4 BD + C projects in Vietnam. A survey of 72 experts, engineers, and architects working in the construction sector identified the LEED tasks where Vietnamese GCs lack experience and suggested solutions to address this shortfall were developed. In particular, Vietnamese GCs lacked experience in implementing their sustainable roles. These results provide a useful foundation for Vietnamese GCs seeking to expand the scope of their LEED work and identified necessary training. Our findings will also guide future research to help GCs in Vietnam adapt to LEED’s sustainability requirements and support sustainable construction in Vietnam.

The governance mechanism of the building material industry (BMI) in transformation to green BMI: The perspective of green building

The transformation from the building material industry (BMI) to green BMI (GBMI) is not only of great significance to the upgrading of traditional BMI, but also has a pivotal role in promoting the sustainable development of cities. This paper studies the governance mechanism of the BMI in transformation to GBMI from the perspective of supply-side and demand-side of green building. First, evolutionary game theory is used to develop two three-party dynamic game models including building materials enterprises (BME), government, building developers (BD) and building consumers (BC). Second, numerical simulation experiment method is used to study the multi-stage governance mechanism based on the model deduction and the theoretical analysis of green transformation. The numerical simulation results show that the infrastructure construction projects on green building is an important governance mechanism for the rapid development of the GBMI, and the green innovation subsidy is a core governance mechanism for the high-quality development. The punishment of pollution and fraud compensation punishment and green innovation subsidy to green BME, tax incentives to green BD and purchase subsidy to green BC are conducive to promoting the change of the concept of green production and consumption. The aforementioned mechanisms and infrastructure construction contribute to promoting the production of green building materials in BME through developing and purchasing green buildings. The infrastructure construction and green innovation subsidy play a pivotal role in the high-quality development of the GBMI. This study not only reveals the theoretical mechanism of the BMI in transformation to GBMI under government-driven, but also provides a practical guidance for formulating high-quality development policies for GBMI. In addition, questionnaire method can be used to effectively solve the problem of bringing the four parties into a unified framework for future research.

REAL ESTATE DEVELOPER'S PRODUCT POSITIONING: AHP-UTILITY-BASED MODEL

Inappropriate land development decisions lead to wasted land resources; such bad decisions can negatively impact urban landscapes and the environment, which makes the decision of an appropriate residential environment difficult. Therefore, a suitable assessment model is required to resolve this complexity. The present study applied the fuzzy Delphi method, analytical hierarchy process, utility theory, and other research methods to construct an evaluation model for residential environment location. the study findings reveal that consumers are attracted by regional environmental conditions and architectural design. However, the study found that community welfare is neglected. This model can help decision makers to evaluate utility values and profitability, in order to select the most suitable environment. Therefore, related authorities should strengthen community welfare and neighborhood development. Furthermore, social resources should be integrated in order to deliver social welfare and services to the community, thus enabling people in the community to obtain the necessary resources and assistance

Social Network Analysis of Factors Influencing Green Building Development in China

Green buildings have been viewed as one of the most effective solutions to the negative environmental impacts of construction activities. For the sustainable development of the economy and the environment, many governments in the world have launched a variety of policies to encourage the development of green buildings. However, green targets achieved during the operational stage of green buildings are far below the expectations from the design stage. In addition, the development of green buildings is unevenly distributed in different cities. To help resolve these issues, this paper identifies 28 green building influencing factors from two perspectives, the life cycle and stakeholders. Then, a social network analysis is used to analyse their interactions and identify the critical factors. Our results show that government supervision, incremental cost, property management experience, and the awareness of environmental protection in green buildings are the critical influencing factors in promoting green building development. However, some factors related to contractors, designers and suppliers are not as important as perceived. Finally, some policy recommendations are proposed to promote green buildings in China.

What are the Key Indicators of Mega Sustainable Construction Projects? —A Stakeholder-Network Perspective

Mega sustainable construction projects (MSCPs) require complex system engineering. There are various indicators available to evaluate sustainable construction, and it is difficult to determine which the key indicators are among them. Existing studies do not adequately consider the stakeholders associated with the indicators of sustainable construction, leading to key decision-makers’ lack of targeted management strategies to improve the sustainability level of MSCPs. Using literature analysis and expert interviews, this study identified the key evaluation indicators of MSCPs from a stakeholder-network perspective. Social network analysis (SNA) was used to explore the relationships between the key evaluation indicators and corresponding stakeholders. The results showed that the government and designers significantly impacted other stakeholders and played as the key stakeholders in MSCPs. Regarding the indicators, applying energy-saving and intelligent technologies plays a key role in the MSCPs. This study links key indicators of MSCPs with the associated stakeholders, which helps decision-makers to develop targeted strategies to improve the sustainability level of MSCPs, thereby not only improving the efficiency and effectiveness of the intervention strategies, but also helping to save decision-makers’ monetary and human resources which are usually limited.