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This research paper aims to explore whether and how perceived corporate social responsibility (CSR) influences employee-associated outcomes in ways that are controllable by managers. Drawing from the theories of self-determination and social identity, this study investigates the mediating effects of psychological needs fulfillment and organizational identification in exploring the mechanisms that link perceived CSR to employee job performances of Chinese state-owned tourism companies.

Survey was used to collect original data from ten Chinese state-owned tourism companies to examine the proposed model. Data was analyzed through structural equation modeling.

Employees’ perceptions of CSR are found to demonstrate significantly effective associations with their job performance. Moreover, results support that the influences of CSR on staff’s job performance are also conveyed through psychological needs fulfillment (competence) and organizational identification (i.e. cognitive identification and affective identification).

Findings not only provide strategic ideas and operational tactics for tourism managers to devise CSR strategies and allocate CSR resources but also offer inspirations to integrate CSR initiatives with human resource management strategies.

This study diverts the research of CSR from the organizational level to the individual level. This study also explores the mechanism of psychological needs fulfillment and organizational identification underlying processes in the employee perceptions of CSR–job performance linkages.

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.

This study aims to explore the effect of competitive aggressiveness on firm performance and the moderating effect of firm 2019s ego-network structures in the international coopetition network.

From the perspective of strong cooperation of the global automobile industry in recent years, this study uses the global automobile firms in Factiva database as samples to test hypotheses using the least squares dummy variable (LSDV) model.

This study finds that there is different relationship between the number and variety of competitive actions and firm performance. In addition, ego-network structures have different coefficients for the number and variety of competitive actions.

The conclusions provide theoretical support and policy suggestions for firms to develop effective competitive strategies according to ego-network structures in the international coopetition network.

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 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 study focuses on drug safety regulation capture, reveals the inner mechanism and evolutionary characteristics of drug safety regulation capture and provides suggestions for effective regulation by pharmacovigilance.

The article introduces prospect theory into the game strategy analysis of drug safety events, constructs a benefit perception matrix based on psychological perception and analyzes the risk selection strategies and constraints on stable outcomes for both drug companies and drug regulatory authorities. Moreover, simulation was used to analyze the choice of results of different parameters on the game strategy.

The results found that the system does not have a stable equilibrium strategy under the role of cognitive psychology. The risk transfer coefficient, penalty cost, risk loss, regulatory benefit, regulatory success probability and risk discount coefficient directly acted in the direction of system evolution toward the system stable strategy. There is a critical effect on the behavioral strategies of drug manufacturers and drug supervisors, which exceeds a certain intensity before the behavioral strategies in repeated games tend to stabilize.

In this article, the authors constructed the perceived benefit matrix through the prospect value function to analyze the behavioral evolution game strategies of drug companies and FDA in the regulatory process, and to evaluate the evolution law of each factor.

This study aims to investigate the role of aluminium (Al) in marine environment and the corrosion mechanism of galvalume coatings by conducting accelerated experiments and data analysis.

Samples were subjected to accelerated corrosion for 136 days via salt spray tests to simulate the natural conditions of marine environment and consequently accelerate the experiments. Subsequently, the samples were examined using various test methods, such as EDS, scanning electron microscopy (SEM), X-ray diffraction (XRD) and electrochemical impedance spectroscopy (EIS), and the obtained data were analysed.

Galvalume coatings comprised interdigitated zinc (Zn)-rich and dendritic Al-rich phases. Corrosion was observed to begin with a Zn-rich phase. The primary components of the corrosion product film were Al₂O₃ and Zn₅(OH)₈Cl₂·H₂O. It was confirmed that the role of Al was to form a dense protective film, thereby successfully blocking the entry of corrosive media and protecting the iron substrate.

This study provides a clearer understanding of the corrosion mechanism and kinetics of galvalume coatings in a simulated marine environment. In addition, the role of Al, which is rarely mentioned in the literature, was investigated.

Cross operation is a common operation method in the building construction process nowadays. Due to the crossover, each other's operations are disturbed, and risks also interact. This superimposed relationship of risks is worthy of attention. The study aims to develop a model for analyzing cross-working risks. This model can quantify the correlation of various risk factors.

The concept of cross operation and the cross types involved are clarified. The risk factors were extracted from cross-operation accidents. The association rule mining (ARM) was used to analyze the results of various cross-types accidents. With the help of visualization tools, the intensity distribution and correlation path of the relationship between each factor were obtained. A complete cross-operation risk analysis model was established.

The application of ARM method proves that there are obvious risk correlation deviations in different types of cross operations. A high-frequency risk common to all cross operations is on-site safety inspection and process supervision, but the subsequent problems are different. Cutting off the high-lift risk chain timely according to the results obtained by ARM can reduce or eliminate the danger of high-frequency risk factors.

This is the first systematic analysis of cross-work risk in the construction. The study determined the priority of risk management. The results contribute to targeted cross-work control to reduce accidents caused by cross-work.

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.