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The construction of megaprojects often involves substantial risks. While insurance plays an important role as a traditional risk transfer means, owners and insurance companies may still suffer huge losses during the risk management process. Therefore, considering the strong motivation of insurance companies to participate in the on-site risk management of megaprojects, this study aims to propose a collaborative incentive mechanism involving insurance companies, to optimize the risk management effect and reduce the risk of accidents in megaprojects.

Based on principal-agent theory, the research develops the static and dynamic incentive models for risk management in megaprojects, involving both the owner and insurance company. The study examines the primary factors influencing incentive efficiency. The results are numerically simulated with a validation case. Finally, the impact of parameter changes on the stakeholders' benefits is analyzed.

The results indicate that the dynamic incentive model is available to the achievement of a flexible mechanism to ensure the benefits of contractors while protecting the benefits of the owner and insurance company. Adjusting the incentive coefficients for owners and insurance companies within a specified range promotes the growth of benefits for all parties involved. The management cost and economic benefit allocation coefficients have a positive effect on the adjustment range of the incentive coefficient, which helps implement a more flexible dynamic incentive mechanism to motivate contractors to carry out risk management to reduce risk losses.

This study makes up for the absence of important stakeholders in risk management. Different from traditional megaproject risk management, this model uses insurance companies as bridges to break the island effect of risk management among multiple megaprojects. This study contributes to the body of knowledge by designing appropriate dynamic incentive mechanisms in megaproject risk management through insurance company participation, and provides practical implications to both owner and insurance company on incentive contract making, thus achieving better risk governance of megaprojects.

The study aims to enhance energy efficiency within the high-energy consuming construction industry. It explores the spatial-temporal dynamics and distribution patterns of total factor energy efficiency (TFEE) across China’s construction industry, aiming to inform targeted emission reduction policies at provincial and city levels.

Utilizing a three-stage super-efficiency SBM-DEA model that integrates carbon emissions, the TFEE in 30 Chinese provinces and cities from 2004 to 2019 is assessed. Through kernel density estimation and exploratory spatial data analysis, the dynamic evolution and spatial patterns of TFEE are examined.

Analysis reveals that environmental investments positively impact TFEE, whereas Gross Regional Product (GRP) exerts a negative influence. R&D expenditure intensity and marketization show mixed effects. Excluding environmental and random factors, TFEE averages declined, aligning more closely with actual development trends, showing a gradual decrease from east to west. TFEE exhibited fluctuating growth with a trend moving from inefficient clusters to a more even distribution. Spatially, TFEE demonstrated aggregation effects and characteristics of space-time transition.

This research employs the three-stage super-efficiency SBM-DEA model to measure the total factor energy efficiency of the construction industry, taking into account external environment, random disturbances, and multiple effective decision-making units. It also evaluates energy efficiency changes before and after removing disturbances and comprehensively examines regional and temporal differences from static and dynamic, overall and phased perspectives. Additionally, Moran scatter plots and LISA cluster maps are used to objectively analyze the spatial agglomeration and factors influencing energy efficiency.

Promoting low-carbon in the construction industry is important for achieving the overall low-carbon goals. Public–private partnership is very popular in public infrastructure projects. However, different perceptions of low-carbon and behaviors of public and private sectors can hinder the realization of low-carbon in these projects. In order to analyze the willingness of each stakeholder to cooperate towards low-carbon goals, an evolutionary game model is constructed.

An evolutionary game model that considers the opportunistic behavior of the participants is developed. The evolutionary stable strategies (ESSs) under different scenarios are examined, and the factors that influence the willingness to cooperate between the government and private investors are investigated.

The results illustrate that a well-designed system of profit distribution and subsidies can enhance collaboration. Excessive subsidies have negative impact on cooperation between the two sides, because these two sides can weaken income distribution and lead to the free-riding behavior of the government. Under the situation of two ESSs, there is also an optimal revenue distribution coefficient that maximizes the probability of cooperation. With the introduction of supervision and punishment mechanism, the opportunistic behavior of private investors is effectively constrained.

An evolutionary game model is developed to explore the cooperation between the public sector and the private sector in the field of low-carbon construction. Based on the analysis of the model, this paper summarizes the conditions and strategies that can enable the two sectors to cooperate.

The purpose of this study is to explore the mechanisms underlying the transformation of records management (RM) to digital processes in the context of electronic records management systems (ERMS). The aim is to facilitate the evaluation of the long-term performance of ERMS and the effectiveness of the current standards.

Qualitative methods, such as participant observation and the constructivist grounded theory, were applied on a case of ERMS implementation in the Chinese public sector.

The results revealed that the application of transition-oriented ERMS would stimulate restructuring in the RM pattern and expectation on the functions of ERMS, with information quality underlying as a key challenging factor. The above-stated factors together drive the digital transformation of RM. A model for this mechanism is provided in the present study.

The selected case serves as an example for the cases that are not conditional on enforcing the electronic documents and RMS. As preliminary research, only one case has been studied here. However, it is possible to conduct other case studies to develop a further understanding of the transformation process.

The novelty of the present study is that it draws attention to the challenges encountered in moving RM towards digital transformation, by providing a theoretical foundation for developing sustainable evaluations of the ERMS and the associated current standards.

The purpose of this study is to propose and test a model that is composed of immersion, perceived attractiveness, happiness, satisfaction and behavioral intention in light of the extended cognitive-affective-conative model.

To test the suggested research model, 271 genuine on-site questionnaires were gathered.

Immersion was found to positively affect perceived attractiveness and happiness. It is also suggested that perceived attractiveness and happiness mediate the association between immersion and tourist satisfaction.

This study also has advantageous marketing and management implications for destination managers and marketers to improve tourist satisfaction.

As per the authors’ knowledge, this is the very first study that inspects the mechanism by which how immersion influences tourist satisfaction.

利用拓展的认知-情感-意动理论, 本研究旨在提出和测试一个将沉浸感、感知吸引力、幸福感和行为意图联系起来的模型。

本研究收集线下有效样本271份。

本研究发现沉浸对感知吸引力和幸福感有正向影响。本研究还提出感知吸引力和幸福感在沉浸感和游客满意度之间的关系中起中介作用。

本研究还为目的地营销人员提供有用的营销和管理启示, 以提高游客满意度。

这是探索沉浸感如何影响游客满意度的机制的研究首批研究之一。

Este estudio tiene como objetivo proponer y probar un modelo que vincula la inmersión, el atractivo percibido, la felicidad, la satisfacción y la intención de comportamiento basado en el modelo cognitivo-afectivo-conativo (CAC) extendido.

Se recogieron un total de 271 cuestionarios in situ válidos para probar el modelo de investigación propuesto.

Se encontró que la inmersión afecta positivamente el atractivo y la felicidad percibidos. También se propone que el atractivo percibido y la felicidad median la relación entre la inmersión y la satisfacción del turista.

Este estudio también proporciona implicaciones útiles de marketing y gestión para que los comercializadores de destinos mejoren la satisfacción del turista.

Este es el primer estudio que explora el mecanismo detrás de cómo la inmersión influye en la satisfacción del turista.

The purpose of this paper is to establish a new dynamic coupled discrete-element contact model used for investigating fresh concrete with different grades and different motion states, and demonstrate its correctness and reliability according to the rheological property results of flow fresh concrete in different working states through simulating the slump process and mixing process.

To accurately express the motion and force of flowing fresh concrete in different working states from numerical analysis, a dynamic coupled discrete-element contact model is proposed for fresh concrete of varying strength. The fluid-like fresh concrete is modelled as a two-phase fluid consisting of mortar and aggregate. Depending on the contact forms of the aggregate and mortar, the model is of one of the five types, namely, Hertz–Mindlin, pendular LB contact, funicular mucous contact, capillary LB contact or slurry lift/drag contact.

To verify the accuracy of this contact model, concrete slump and cross-vane rheometer tests are simulated using the traditional LB model and dynamic coupled contact model, for five concrete strengths. Finally, by comparing the simulation results from the two different contact models with experimental data, it is found that those from the proposed contact model are closer to the experimental data.

This contact model could be used to address issues such as (a) the mixing, transportation and pumping of fresh concrete, (b) deeper research and discussion on the influence of fresh concrete on the dynamic performance of agitated-transport vehicles, (c) the behaviour of fresh concrete in mixing tanks and (d) the abrasion of concrete pumping pipes.

To accurately express the motion and force of flowing fresh concrete in different working states from numerical analysis, a dynamic coupled discrete-element contact model is proposed for fresh concrete of varying strength.

The roles that one single leadership style plays on motivating employees have been studied. However, in reality, an individual may exhibit more than one type of leadership style. This study aims to reveal how zhongyong leadership can lead to employees’ thriving at work in China, with a glance at ethical leadership as a moderator. The intrinsic motivation of employees is also considered as a mediator to show the specific path that bridges employees’ perceived leadership styles and their thriving at work.

Using three-period data from a sample of 346 employees working in Chinese companies, this study performs regression and bootstrap analyzes in PROCESS macro to test the hypotheses. By adopting the Johnson-Neyman technique, this study further identifies the specific moderating range within which ethical leadership makes a difference.

The positive correlation between zhongyong leadership and employees’ thriving at work only withstand scrutiny when the level of ethical leadership is sufficiently high and employees’ intrinsic motivation plays a mediating role. Specifically, when the ethical leadership level is higher than 6.022 (on a seven-point scale), zhongyong leadership can significantly increase the intrinsic motivation of employees and their thriving at work will be stronger as a result. On the contrary, when ethical leadership is lower than 1.089 (on a seven-point scale), this mediated relationship will head exactly in the opposite direction.

This study focuses on investigating the effects of multiple positive leadership behaviors on promoting employees’ thriving at work. The resultant findings provide compelling evidence for the integration of different leadership styles in practice and consolidate the theoretical underpinnings of related research on thriving at work.

The contact behaviors of droplets on confined surfaces influence significantly their dynamics and morphological transition induced by the electric field. This paper aims to delve into the electric stress, electric field distribution, flow field and evolution of droplet neck to understand the underlying mechanisms.

Electrohydrodynamics of droplets in confined environment is numerically analyzed based on finite volume method (FVM) combining with volume-of-fluid (VOF) method for two-phase interface capturing. Numerical solutions are obtained through solving electrohydrodynamics model coupling fluid dynamics with electrostatics.

It was found that the droplet neck with high interfacial curvature undergoes different transition depending on the contact angle. At large domain height, the droplets on the surfaces with the contact angle of θ < 90° tend to break up into smaller droplets adhered on top and bottom surfaces. The detachment of droplets is identified when the contact angle is much greater than 90°. Notably, the droplets at θ = 90° exhibit asymmetrical shape evolution, but for other cases there is symmetrical shape of droplets during transition process. With decreasing the domain height, no obvious deformation through driving the contraction of the droplet neck is observed.

It remains unclear how the electric field parallel to the surfaces affects the shape transition and electrohydrodynamics of confined droplets when changing the contact angle. In this paper, the authors study the electrohydrodynamics of droplets in confined space when the electric field is exerted parallel to contact surfaces. In particular, the authors consider the effect of the surface wettability on the droplet deformation. The problem is solved through FVM combining with the VOF method to implement the capturing of two-phase interfaces. The results indicate that the electrohydrodynamic behaviors of droplets are sensitive to the contact properties of droplets on the surfaces, which has not been reported in previous works.

The purpose of this paper is to detect the existence of price bubbles and examine the possible contributing factors that associate with price bubble occurrences in China agricultural commodity markets.

Using recently developed rolling window right-side augmented Dickey–Fuller test, we first detect the dates of price bubbles in China's two important agricultural commodity markets, namely corn and soybeans. Then, we use a penalized maximum likelihood estimation of a multinomial logistic model to estimate the contributing factors of price bubbles in both markets, respectively.

Results from the bubble detection indicate that price bubbles account for 5.48% (3.91%) of the studied periods for corn (soybeans). More importantly, we find that market liquidity and speculation have opposite effects on the occurrences of bubbles in the corn and soybeans market. World stocks-to-use and exchange rates affect the occurrences of bubbles in a different way for each commodity, as well. Price bubbles are more likely associated with strong economic activity, high interest rates and low inflation levels.

This is the first study considering commodity-specific features into the formation of price bubbles. Through accurately identifying the bubble dates and fixing the estimation bias of rare events models, this study enables us to obtain robust results for each commodity. The results imply that China's corn and soybeans market respond differently to the speculative activity and external shocks from international markets. Therefore, future policy regulations on commodity markets should focus on more commodity-specific factors when aiming at avoiding bubble occurrences.

This study aims to explore the innovative capabilities of building information modeling (BIM) in construction projects. The objectives are to construct an inclusive conceptual framework of BIM-enabled construction innovation, identify the status and trends of innovation-related research in BIM publications, synthesize research pertaining to BIM-enabled construction innovation and discover core research requirements in the related body of knowledge.

This study proposes a comprehensive theoretical framework, named innovation pyramid, comprising context, actor, artifact, process, structure and innovative task for exploring and analyzing the innovative capability of BIM in construction projects. Accordingly, mixed methods were used to perform a systematic review of research on the topic of BIM-enabled construction innovation.

The findings reveal that BIM innovation-related articles have predominantly considered BIM as an innovation from a technological standpoint, while the innovative capabilities of BIM have remained under-researched with a fragmented research focus. Fertile grounds for research have emerged and call for research pertaining to entities of “structure” and “innovative task” as well as interaction, interrelations and mutually adjusting effect among the entities.

The framework proposed may be useful for subsequent research design and for assisting project management practitioners in the use of BIM to achieve innovation more efficiently.

This research provides an insight into the innovative capabilities of BIM based on the BIM–collaboration–construction innovation logic chain. It contributes to the body of knowledge by devising an inclusive conceptual framework of BIM-enabled construction innovation, synthesizing the state of the art and exposing the research needs in this area.