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Large size of aircraft assembly tooling structure and complex measurement environment exist. The laid enhanced reference points (ERS) are subject to a combination of nonuniform temperature fields and measurement errors, resulting in increased measurement registration errors. In view of the nonuniform temperature field and measurement errors affecting the ERS point registration problem, the purpose of this paper is to propose a neural network-based ERS point registration compensation method for large-size measurement fields under a nonuniform temperature field.

The approach is to collect ERS point information and temperature data, normalize the collected data to complete the data structure design and complete the construction of the neural network prediction model by data training. The data learning is performed to complete the prediction model construction, and the prediction model is used to complete the compensation analysis of ERS points. Finally, the algorithm is verified through experiments and engineering practice.

Experimental results show that the proposed neural network-based ERS point prediction and compensation method for nonuniform temperature fields effectively predicts ERS point deformation under nonuniform temperature fields compared with the conventional method. After the compensation analysis, the registration error is effectively reduced to improve registration accuracy. Reducing the combined effect of environmental nonuniform temperature field and measurement error has apparent advantages.

The method reduces the registration error caused by combining a nonuniform temperature field and measurement error. It can be used for aircraft assembly site prediction and registration error compensation analysis, which is essential to improve measurement accuracy further.

The size of the aircraft tooling structure is huge, and the ambient temperature is difficult to maintain a constant state. Aiming at the influence of current temperature, this paper aims to propose a compensation method for registration error of large-scale measurement fields based on multi-temperature sensors.

In this method, an enhanced reference points (ERS)–temperature regression model is constructed from ERS and temperature data. The ERS offsets compensation model is established by solving the offset through the regression model, and the ERS offset compensation analysis is carried out.

The experimental results show that the proposed registration error compensation algorithm has obvious advantages over traditional methods in reducing the influence of ambient temperature and improving the measurement accuracy by reducing the registration error.

This method reduces registration error caused by the influence of ambient temperature and is used for aircraft measurements in different temperature environments.

Migrant workers play a vital role in the development of countries such as China. However, they often face greater barriers in entrepreneurship. Yet, few studies have focused on the effect of institutional factors on migrant workers' entrepreneurial behaviors. To address this gap, this study concentrates on the role of taxation.

This study takes the agricultural tax abolition reform implemented in rural China since 2004 as an exogenous shock and uses the difference-in-difference (DID) method to examine its effect on migrant workers' entrepreneurship based on longitudinal data from the China Health and Nutrition Survey (CHNS).

We find that the reform significantly improves the probability of migrant workers engaging in entrepreneurship. Heterogeneity analysis reveals that the reform exerts a notably more pronounced positive impact on male, younger and migrant workers in the Western region. Further analysis reveals that the three main mechanisms are increased household income, female human capital accumulation and increased social capital, including social networks and social trust.

This study is first to offers an institutional perspective on the determinants of migrant workers' entrepreneurship in China. Additionally, the study can provide insights for policymaking intended to support employment and entrepreneurship among low-skill migrant workers.

To test a social-psychological model of public acceptance of highway infrastructure projects in the Chinese architecture/engineering/construction industry.

Through a comprehensive literature review, we established a social-psychological model of public acceptance related to benefit perception, risk perception and public trust. We empirically validated our model by using structural equation model analysis based on a questionnaire survey in the S35 Yongjin Highway Infrastructure Project in Yunnan Province, China.

Benefit, trust and risk perception had a significant influence on local residents' public acceptance of highway infrastructure projects; benefit perception and trust perception had a greater influence than risk perception. Public acceptance among local male residents over the age of 35 or those with higher education levels was more likely to be determined by the relative dominance of risk and benefit perceived.

This study contributes empirical evidence to the theoretical literature related to locally unwanted land use (LULU) siting and stakeholders in the field of project management from the public perspective. This study also suggests valuable practical implications to authorities, project managers and the public in decision-making and risk communication.

Although previous studies addressed factors affecting public acceptance towards potentially hazardous facilities, understanding of the implications of these social-psychological factors and their effects are still far from sufficient. This study bridges this gap by exploring the determinants of public acceptance towards highway infrastructure projects based on a selected case in China.

This study aims to investigate how psychological motivations influence the knowledge-sharing intention of employees and how these effects are moderated by traditional Chinese culture.

A questionnaire survey was conducted in China to test the research model. The target samples comprised MBA students who have enough practical experience, as well as considerable academic experience.

The results suggest that anticipated reciprocal relationships, anticipated extrinsic rewards and sense of self-worth exert different effects on knowledge-sharing intention. In addition, traditional Chinese culture plays different roles in the relationships among these three psychological motivations and knowledge-sharing intention. Specifically, guanxi orientation positively moderates the effect of anticipated reciprocal relationships and negatively moderates the effect of sense of self-worth. Face gaining negatively moderates the effect of anticipated reciprocal relationships and positively moderates the effect of sense of self-worth. Face saving negatively moderates the effect of anticipated reciprocal relationships and sense of self-worth.

A few studies in extant knowledge management (KM) literature provided insights into how traditional Chinese culture could directly affect knowledge sharing. The authors depart from these studies by integrating these characteristic indigenous concepts (i.e. face and guanxi orientation) into this study. The authors offer an indigenous cultural view of how these indigenous concepts truly influence an individual’s psychological states and inclination in KM literature. Through this approach, the results confirm that these cultural factors do play an important role during the formation of knowledge-sharing intention and reveals several important research findings.

The purpose of this paper is to provide the extensive review on dynamic monitoring of forestry area in China.

Countermeasure and suggestions were proposed for three aspects including the establishment of data sets with unified standards, top-level design of monitoring and assessment and analysis models, and establishment of the decision support platform with multiple scenario simulation.

Finally, the authors proposed key research area in this field, i.e., improving the systematic and optimal forest management through integrating and improving the data, models and simulation platforms and coupling the data integration system, assessment system and decision support system.

The authors explored the limitation of dynamic monitoring and state of the art research on data accumulation, professional model development and the analytical platform.

The aim of this study was to examine how manufacturing digitalization can be leveraged to promote green innovation in the digital era by investigating the effects of manufacturing digitalization on green process innovation, and thus firm performance. The authors also explored how the role of manufacturing digitalization varies with horizontal information sharing, vertical bottom-up learning and technological modularization.

Five hypotheses were examined by performing regression analyses on survey data from 334 manufacturing firms in China.

Manufacturing digitalization positively affects green process innovation, and thus firm performance. Furthermore, this positive effect is strengthened by horizontal information sharing and technological modularization and weakened by vertical bottom-up learning.

This study extends the literature rooted in the natural-resource-based view by identifying the crucial role of green process innovation and investigating the value of manufacturing digitalization for developing green capabilities in the digital era. It also contributes to this line of research by revealing contingent factors to leverage manufacturing digitalization from the information processing perspective. Furthermore, this study extends information processing theory to the digital context and identifies the interaction of organizational design (vertical bottom-up learning and horizontal information sharing) and digital investment (manufacturing digitalization).

Based on the resource conservation theory, this research paper aims to evaluate the positive impact of customer orientation on frontline employees' emotional exhaustion and the moderating effects of customer incivility and supervisor monitoring.

Two-wave data from 484 frontline employees in power supply business halls were analyzed. This study used AMOS 23.0, SPSS22.0 and PROCESS macro for data statistics and analysis.

Our empirical research demonstrates that customer orientation has a significant positive impact on frontline employees' emotional exhaustion. At the same time, supervisor monitoring moderates the relationship between customer orientation and emotional exhaustion. The higher the interactional or observational monitoring, the stronger customer orientation's effect on frontline employees' emotional exhaustion. Moreover, a three-way interaction model exists between customer orientation, customer incivility and supervisor monitoring.

This study yields practical implications for helping the frontline employees of service-oriented organizations alleviate multiple interpersonal workplace pressures.

Based on resource conservation theory, this paper used a novel approach to focus on customer orientation, customer incivility and supervisor monitoring as interpersonal stressors.

Based on the social information processing theory, the purpose of this study is to propose a conceptualized moderated mediation model for testing the linkage between leader narcissism and employees’ innovative behavior through the mediating effect of employees’ cognitive dependency and the moderating effect of environmental uncertainty between employees’ cognitive dependency and their innovative behavior.

In this study, multisource data from 266 employees and their supervisors in 11 large high-tech Chinese companies were collected through a field study and an online survey. The hypotheses were tested using structural equation modeling and bootstrapping.

The results of this study show that leader narcissism has a negative impact on employees’ innovative behavior and that employees’ cognitive dependency plays a mediating role between leader narcissism and employees’ innovative behavior. Cognitive dependency and environmental uncertainty play moderated mediation roles between leader narcissism and employees’ innovative behavior.

In the future, longitudinal research and experimental methods can be used to avoid common method bias. Further studies could allow leaders to evaluate environmental uncertainty and explore the emotional path by which leader narcissism has negative effects on followers’ innovation from social information processing theory. In addition, future studies can explore cognitive dependency more deeply from the perspectives of forced obedience and active worship.

Organizations should warn leaders to control the dark side of narcissism and minimize environmental uncertainty to reduce barriers to innovation.

This study constructs the path of the effect of leader narcissism on employees’ innovation through employees’ cognitive dependency in a specific context, which enriches theoretical research on the link between leaders’ traits and employees’ innovative behavior. Along with the finding of leader narcissism’s negative effect on employees’ innovative behavior, this study explores the dark side of leader narcissism in the context of China’s high-tech firms and environmental uncertainty.

The purpose of this paper is to explore how visionary leadership influences employees’ creativity in R&D teams in China, and the role of employee knowledge sharing and goal orientation.

A survey was conducted on 331 professional technical engineers in R&D departments of 62 high-tech corporations in China. Hierarchical regression was used to model the relationships between visionary leadership style, employee goal orientations, knowledge sharing and employee creativity.

The results show that visionary leadership is positively associated with employee creativity in Chinese organizations and the relationship is positively mediated by employee knowledge sharing. Furthermore, employee “learning goal” orientation strengthens the relationship between visionary leadership and employee knowledge sharing, whereas employee “performance-avoid goal” orientation weakens the relationship between visionary leadership and employee knowledge sharing.

This study contributes to the literature on the effects of leadership on employee creativity by showing that, contrary to western organizations, where a less directive leadership style is generally recommended to enhance employee creativity, in Chinese organizations, visionary leadership is positively associated with employee creativity, but the effect is contingent on employees’ goal orientations and knowledge sharing.