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The purpose of this paper is to model the paths of risks associated with building information modeling (BIM) adoption in the Chinese architecture, engineering and construction industry.

A total of 16 risks were identified from the literature review and grouped into nine categories. The data were collected through a questionnaire survey with 95 professionals in China. The partial least square structural equation modeling was used to analyze the data.

The results suggested the risk categorization was confirmed, and that 15 hypothetical risk paths were statistically significant, which formed 13 chains of risk paths. “Inadequate relevant knowledge and expertise” was the primary root risk category of all the 13 chains of risk paths. Additionally, “technological issues,” “poor information sharing and collaboration,” and “liability for data input” had direct effect on the “cost overrun with BIM,” while all the other risks indirectly influence cost via these three risk categories.

Most of the respondents were designers because few clients and contractors have adopted BIM. In addition, the impact and likelihood of risks were accessed by respondents’ judgment based on their experience, which is a common problem of risk management research. As this study focuses on the Chinese architecture, engineering and construction industry, there would be geographical limitation on the findings.

This study provides practitioners with a clear understanding of the risks associated with BIM adoption and enables practitioners to take measures to mitigate the root risks and assure the potential benefits of BIM.

Although there have been studies on the risks associated with BIM adoption, most of them lacked empirical evidence and failed to examine the interactions between risks. This study is different from these prior studies, because it focuses on the interrelationships between risks and identifies the risk paths and root risks using the empirical data. Therefore, this study expands the literature relating to both BIM and risk management. Also, this study enables practitioners to take measures to mitigate the root risks and assure the potential benefits produced by BIM, thereby contributing to the practice.

The purpose of this paper is to reduce the drag loss and study the effects of operating conditions and groove parameters such as flow rate and temperature of automatic transmission fluid, clearance between plates, groove depth and groove ratio on the drag torque of a wet clutch for vehicles, parametric analysis of the drag torque model of wet multi-plate friction clutch with groove consideration.

Both experimental and numerical research was carried out in this work. Parametric groove models, full film lubrication flow model and pressure distribution model are established to investigate the effects of the grooves on drag torque of a wet clutch. Multigrid method is used to simplify the solution.

In this paper, a drag torque model of a wet multi-plate friction clutch based on the basic theory of viscous fluid dynamics is examined through experimental and numerical methods that take grooves into account, and the change trend of drag torque with operating conditions and groove parameters is analyzed.

Multigrid method is used to solve the governing equations, which simplifies the solution process because of the restrictions and interpolation operations between the adjacent layers of coarser and fine grids. These works provide insight into the effect regularity of operating conditions and groove parameters on drag torque of a wet multi-plate friction clutch. Furthermore, variable test conditions and sufficient experimental data are the main functions in the experimental research.

The purpose of this paper is to understand blog users’ negative emotional norm compliance decision-making in crises (blog users’-NNDC).

A belief–desire–intention (BDI) model to evaluate the blog users’-NNDC (the BDI-NNDC model) was developed. This model was based on three social characteristics: self-interests, expectations and emotions. An experimental study was conducted to evaluate the efficiency of the BDI-NNDC model by using data retrieved from a popular Chinese social network called “Sina Weibo” about three major crises.

The BDI-NNDC model strongly predicted the Blog users’-NNDC. The predictions were as follows: a self-interested blog user posted content that was targeting his own interests; a blogger with high expectations wrote and commented emotionally negative blogs on the condition that the numbers of negative posts increased, while he ignored the norm when there was relatively less negative emotional news; and an emotional blog user obeyed the norm based on the emotional intentions of the blogosphere in most of the cases.

The BDI-NNDC model can explain the diffusion of negative emotions by blog users during crises, and this paper shows a way to bridge the social norm modelling and the research of blog users’ activity and behaviour characteristics in the context of “real life” crises. However, the criterion for differentiating blog users according to social characteristics needs to be further revised, as the generalizability of the results is limited by the number of cases selected in this study.

The current method could be applied to predict emotional trends of blog users who have different social characteristics and it could support government agencies to build strategic responses to crises.

This paper supports the creation of normative models and engineering methods to predict blog users’-NNDC and mitigate their effect in real-world crises.

The Middle East and North Africa (MENA) region is known for its extreme weather conditions during Summer. A major determinant of the sustainability of the design of a building is its fenestrations. The purpose of this paper is to explore the problem of designing and locating windows on building facades such that a number of relevant criteria to the MENA region are optimised, including solar heat gain, privacy, daylighting and cost of installation.

A multi-objective optimisation problem is proposed with the focus on capturing the requirements of residential dwellings in the MENA region. Since the problem contains conflicting objectives that need to be optimised, a lexicographic approach is adopted. In order to display the Pareto curve, a bi-objective analysis based on the ε-constraint method is utilised.

The conflicting nature of the proposed problem is indicated via the Pareto optimal solutions yielded. Depending on the preference of criteria adopted in lexicographic optimisation, the location of the windows on the building façade tends to change. The bi-objective analysis indicates the importance of balancing out the daylight factor against each of privacy, solar heat gain and installation cost criteria. Furthermore, an analysis conducted in three major cities in the MENA region highlights the discrepancy in design alternatives generated depending on the local climatic condition.

This work proposes a novel mathematical optimisation model which focuses on producing a sustainable design and layout for windows on the facades of residential dwellings located in the MENA region. The proposed model provides designers with guidance through an automated support tool that yields optimised window designs and layout to ensure the sustainability of their designed buildings.

This paper aims to identify and examine the factors that influence construction industry-university (IU) collaboration and develop the likelihood model of a potential industry partner within the construction industry to collaborate with universities.

Mix method data collection including questionnaire survey and focus groups were used for data collection. The collected data were analysed using descriptive and inferential statistical methods to identify and examine factors. These findings were then used to develop the likelihood predictive model of IU collaboration. A well-known artificial neural network (ANN) model, was trained and cross-validated to develop the predictive model.

The study identified company size (number of employees and approximate annual turnover), the length of experience in the construction industry, previous IU collaboration, the importance of innovation and motivation of innovation for short term showed statistically significant influence on the likelihood of collaboration. The study also revealed there was an increase in interest amongst companies to engage the university in collaborative research. The ANN model successfully predicted the likelihood of a potential construction partner to collaborate with universities at the accuracy of 85.5%, which was considered as a reasonably good model.

The study investigated the nature of collaboration and the factors that can have an impact on the potential IU collaborations and based on that, introduced the implementation of machine learning approach to examine the likelihood of IU collaboration. While the developed model was derived from analysing data set from Western Australian construction industry, the methodology proposed here can be used as the basis of predictive developing models for construction industry elsewhere to help universities in assessing the likelihood for collaborating and partnering with the targeted construction companies.

This paper aims to investigate the relationship between earnings management and media reports, assess the roles played by the media in determining the reputation mechanism and examine whether the media has an influence on executives’ behavior in the case of earnings management.

This paper uses Chinese A-share listed firms from the period 2008 to 2012 to test the research questions using regression analyses.

Although the Chinese Stock Markets are still immature compared to those of developed countries, the media seems to play a role in affecting executives’ decisions about dabbling in earnings management. Specifically, firms receiving more media attention are more likely to undertake earnings management. Furthermore, negative media reports result in even higher levels of earnings management activities, indicating that managers tend to use earnings management to achieve earnings goals to reduce or relieve the pressure they feel from the media and to remedy any reputation loss. Moreover, the authors have found that firms whose CEOs have higher reputations are more likely to manage earnings and they are more likely to be affected by negative media reports. Similar results were found for state-owned enterprises (SOEs).

This study analyzes how the level and tone of media coverage affect earnings management rather than just assessing the overall effect of media coverage on earnings management. This paper verifies that the reputation mechanism of the media works in China, but it leads to different results than those experienced in developed countries. Reputational benefits have been introduced into the equation for measuring the governance effect of the media to derive a more in-depth analysis of the reputation mechanism. This paper is among the first to link news coverage and state ownership with earnings management.

This study explores the influencing factors of smart logistics ecological chain's (SLEC's) organizational collaboration and designs a corresponding conceptual framework.

The multi-case study is applied to this paper. Specifically, this study is a combination of exploratory and explanatory case studies.

The findings are threefold. First, empowerment capability and the information-sharing level are unique factors that affect SLEC's organizational collaboration. Second, greater empowerment capability stimulates the increase of information-sharing level. Third, emerging digital technology, personalized demand and peer competition affect the degree of SLEC's organizational collaboration through an intermediary variable – empowerment capability. Specifically, the emerging digital technology application and peer competition degrees have positive effects on empowerment capability, while the demand personalization degree negatively (positively) affects empowerment capability in the short (long) term.

As an important part of supply chain performance, organizational collaboration is receiving more attention. However, in the smart economy context, no theoretical framework exists for analyzing factors that affect the organizational collaboration degree of SLEC. This study fills this gap.

The authors intend to investigate the relations between corporate strategic positioning and environmental information disclosure (EID) behaviors in the context of the circular economy. The authors argue that the development of the circular economy is crucial to address environmental issues and achieve sustainable development, and companies play a vital role in this process as micro-entities. By examining corporate EID behaviors, the authors could understand their adoption of circular practices to a certain extent.

The authors conduct a content analysis of companies' annual fiscal reports, social responsibility reports and environmental reports and develop text-based proxies for both strategic positioning and EID quality to explore the relationship between them.

The authors find that corporate strategic positioning does affect corporate EID behaviors. Specifically, firms that implement a prospector strategy are more likely to engage in high-quality EID. Furthermore, the results suggest that green innovation is one of the mediators through which strategic positioning affects EID. Compared with defenders, prospectors are more likely to engage in green innovation, which, in turn, leads to higher-quality EID and demonstrates a more active approach to the circular economy.

This study contributes to the literature on strategic positioning and corporate EID by providing empirical evidence on the impact of corporate strategic positioning on EID behaviors. Moreover, the study employs a textual analysis approach to measure corporate strategy and EID, which is a relatively new research method in this field.

As the quality of the environment decreases, enterprises and consumers' awareness of environmental protection is constantly improving. More and more enterprises begin to increase their investment in carbon emission reduction and attract environmentally friendly consumers to buy low-carbon products through advertising. The purpose of this paper is to utilize a realistic differential game model to provide dynamic carbon emission reduction strategies, advertising strategies and cooperation methods for complex supply chain members from a long-term perspective.

This paper uses the extend Vidale-Wolfe model (V-W model) to discuss the dynamic joint emission reduction strategy in the supply chain.

(1) When consumers' awareness of environmental protection increases, on the whole, carbon emission reduction and profit of products show an upward trend. (2) From a long-term perspective, the manufacturer's advertising subsidy to one of the retailers is the best choice. If the strength of the two retailers is unbalanced, the manufacturer will choose to cooperate with the dominant retailer. (3) Advertising, as a marketing means for retailers to promote low-carbon products, can alleviate the adverse effects of prisoner's dilemma in a semi-cooperative state, but it cannot achieve the Pareto optimization result.

This paper focuses on the analysis of the situation that when the manufacturer is the leader and thinks that consumers are active advocates of low-carbon products.

The results of this paper can provide theoretical basis for the joint emission strategy of supply chain members in low-carbon environment.

The purpose of this paper is to identify enablers and inhibitors to the adoption of mobile internet services by socioeconomically disadvantaged people: an understudied population adversely affected by digital inequality.

A qualitative study combining a questionnaire and semi-structured interviews. In total, 32 socioeconomically disadvantaged people explored mobile lottery services and subsequently were asked a series of semi-structured questions about their perceptions of the technology.

Users’ attitudes toward mobile internet services were ambivalent. They experienced some advantages of smartphones (including escaping spatiotemporal constrains, fashionableness, privacy, and cost-effectiveness) and conceived of mobile internet services in terms of social advantages (including their ubiquitous nature, fitting in socially and fear of being “left behind”). However, they also experienced barriers and concerns, such as limited mobile data packages, external barriers from mobile services (including security concerns, complex online help tutorials, irrelevant pop-ups, and a lack of personalized services) and internal psychological barriers (including technophobia, self-concept, and habitus).

The findings are of limited generalizability due to the small size of the sample. However, the study has implications for understanding the acceptance of technology among socioeconomically disadvantaged people.

The study has social implications for bridging digital inequality in terms of socioeconomic status.

While previous studies have primarily focused on enablers of adopting mobile internet services by active users, this study reveals both the promise of and the barriers to the use of such services by inactive users who comprise an under-served population.