A NOVEL FRAMEWORK BASED ON THE IMPROVED JOB DEMANDS-RESOURCES (JD-R) MODEL TO UNDERSTAND THE IMPACT OF JOB CHARACTERISTICS ON JOB BURNOUT FROM THE VIEW OF EMOTION REGULATION THEORY

Background: It has been suggested that individual job characteristics have a significant impact on job burnout, and the process is subject to the regulation of demographic variables. However, the influence path of job characteristics on job burnout is still a "black box". Subjects and methods: On the basis of a systematic literature review by employing Pub Med, Science Direct, Web of Science, Google Scholar, CNKI and Scopus for required information with the several keywords "Job burnout", "Emotion regulation", "Personality traits", and "Psychological stress", in this study, an improved mine rescue workers-oriented job demands-resources (JD-R) model was put forward. Then, a novel analysis framework, to explore the impact of job characteristics on job burnout from the view of emotion regulation theory, was proposed combining the personality trait theory. Results: This study argues that job burnout is influenced by job demands through expressive suppression and by job resources through cognitive reappraisal respectively. Further more, job demands and job resources have the opposite effects on job burnout through the "loss-path" caused by job pressure and the "gain-path" arised from job motivation, respectively. Extrovert personality traits can affect the way the individual processes the information of work environment and then how individual further adopts emotion regulation strategies, finally resulting in indirectly affecting the influence path of mine rescue workers\u27 job characteristics on job burnout. Conclusions: This present study can help managers to realize the importance of employees\u27 psychological stress and job burnout problems. The obtained conclusions provide significant decision-making references for managers in intervening job burnout, managing emotional stress and mental health of employees

The evolution of cooperation in the public goods game on the scale-free community networks under multiple strategy updating rules

Social networks have a scale-free property and community structure, and many problems in life have the characteristic of public goods, such as resource shortage. Due to different preferences of individuals, there exist individuals who adopt heterogeneous strategies updating rules in the network. We investigate the evolution of cooperation in the scale-free community network with public goods games and the influence of multiple strategy updating rules. Here, two types of strategy updating rules are considered which are pairwise comparison rules and aspiration-driven rules. Numerical simulations are conducted and presented corresponding results. We find that community structure promotes the emergence of cooperation in public goods games. In the meantime, there is a "U" shape relationship between the frequency of cooperators and the proportion of the two strategy updating rules. With the variance in the proportion of the two strategy updating rules, pairwise comparison rules seem to be more sensitive. Compared with aspiration-driven rules, pairwise comparison rules play a more important role in promoting cooperation. Our work may be helpful to understand the evolution of cooperation in social networks.Comment: 6 figures, 11 page

Demonstrative Analysis of Hi-tech Enterprises Technology Innovation Capability Based on ISM

This paper presents a scientific exploration of the analysis and assessment of high-tech enterprises’ technologic innovation capabilities, by applying the method of system engineering and ISM. Combining with enterprises’ practice of XI’AN high-tech development zone, it focuses on the application of these methods and the results analysis. Some proposals and solutions for management are also raised in the paper

Modeling and simulations of the cascading failure of multiple interdependent R&D networks under risk propagation

In this paper, we study the robustness of multiple interrelated R&D networks under risk propagation. Firstly, using a bi-partite graph to represent the interrelated R&D networks is emphasized and proposed. Secondly, a risk propagation model is built by defining risk load and risk capacity of each enterprise on a specific R&D network, Thirdly, we use simulations to study risk propagation in interrelated R&D networks. Our results indicate that there exist three critical thresholds to quantify the robustness of R&D networks. Risk propagation in R&D networks is highly affected by the heterogeneity of all enterprises' scales and risk capacities

Etudes de problèmes d'ordonnancement de pont roulant dans des lignes de galvanoplastie automatisées

TROYES-SCD-UTT (103872102) / SudocSudocFranceChinaFRC

Research on Effectiveness Evaluation of Organizational Structure of Complex Aviation Product Development Project

As a highly complex project, the complex aviation product research and development project requires many participants. In order to ensure the effectively process of complex aviation product research and development project, it is necessary to evaluate the effectiveness of the project’s organizational structure. Five first-level key indicators of goal accomplishment, internal processes fluency, resources management ability, stakeholders’ support and environmental adaptation are set. Five first-level key indicators are further broken down to establish the effectiveness evaluation indicator system of complex aviation product research and development project. The analytic hierarchy process method and grey clustering evaluation model based on mixed probability function of central point are used to perform the effectiveness evaluation of organizational structure for complex aviation product research and development project. The evaluation model is applied to a certain instance to verify the effectiveness of the evaluation model. The results show that the model can evaluate the organizational structure effectiveness of complex aviation product research and development project

Using combined network-based approaches to analyze risk interactions in R&D alliance

Previous researches on risks in R&D alliance have treated risks independently. They mainly focus on risk identification and the impact of risk on the objectives of alliance. However, most risks are not isolated but interdependent in reality. To address this gap, a combined method that integrates fuzzy DEMATEL and social network analysis is presented to assess and analyze risk interactions in R&D alliance. A case study of a real R&D alliance is conducted to identify key risks and their interactions, together with the corresponding mitigation actions. By unveiling risks and their interactions, this method assists professionals to make better decisions regarding risk mitigation, and further helps them to achieve higher performances in R&D alliance risk management

How contract enforcement reduces opportunism? The paradoxical moderating effect of interfirm guanxi

This study investigates the hitherto largely neglected effects of contract enforcement in interfirm relationship. Based on contract functions, we conceptualize contract enforcement as a two-dimensional construct comprising contractual control enforcement and contractual coordination enforcement. We examine how the effects of these two enforcements differ as the level of interfirm guanxi varies. The findings from a survey of 190 buyers in China suggest that both contractual control enforcement and contractual coordination enforcement mitigate sellers\u27 opportunism. Moreover, contractual coordination enforcement is more effective in reducing opportunism when the interfirm guanxi is strong, whereas contractual control enforcement is more effective in reducing opportunism when the interfirm guanxi is weak. Our research contributes to both theory and practice by revealing the complex and paradoxical moderating role of interfirm guanxi

The impact of firm heterogeneity and awareness in modeling risk propagation on multiplex networks

Growing interest has emerged to understand the coupled awareness-epidemic dynamics in multiplex network. However, most previous studies usually assume that all the infected nodes have the same influence on the susceptible neighbors, without considering node’s heterogeneity. In this paper, with the similarity between epidemic spreading and risk propagation, we apply the UAU-SIS model to investigate the interplay between awareness and risk propagation in R&D networks considering firms’ heterogeneity. Here, the risk triggering probabilities are heterogenous and depend on two factors: cooperation intensity and local risk prevalence. The results reveal that the cooperation intensity can increase the risk propagation prevalence and decrease the risk propagation threshold, while the local risk prevalence can only increase the risk propagation prevalence. Moreover, we find that the risk propagation threshold undergoes an abrupt transition with a certain point of the local awareness ratio (the global awareness ratio) ignoring the global awareness (the local awareness ratio), which includes two-stage effects on risk propagation threshold. Furthermore, threshold lies in three different areas when considering both the global and local awareness. These results could provide a basis for managerial professionals to improve the robustness of interdependent R&D networks under risk propagation by taking effective measures