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The study aims to offer a nuanced, fine-grained understanding of how the relationship between high-performance work systems (HPWSs) and negative employee outcomes can be attenuated under self-sacrificial leadership (SSL).

Hierarchical linear modeling (HLM) was used to test the proposed multilevel model on a sample of 37 first-line managers (FLMs) and 209 employees working in a large Chinese company.

The results showed that HPWS is positively related to emotional exhaustion and turnover intention. Most conspicuously, the authors found that such adverse effects of HPWS are mitigated with a high level of SSL.

The dark side of HPWS can be alleviated if practitioners complement their practices with sufficient support for employees. Particularly, FLMs who exhibit subordinate-serving attitudes consider followers' well-being and provide them with resources can lessen the high pressure of HPWS in pursuit of performance enhancement.

Prior studies on the relationships between HPWS and employee outcomes have produced somewhat mixed results. This study extended the current discourse by explicating instead why HPWS could potentially impair employee outcomes and how the negative effects of HPWS can be mitigated under positive leader behaviors.

Using Hofstede’s cultural value model, the purpose of this paper is to investigate how Chinese employees’ cultural values differ according to firm ownership type such as state-, privately, and US-owned firms.

Data were collected from 367 Chinese employees working at firms located in Beijing.

Results showed that while Chinese employees in state-owned firms scored the highest in collectivism, those working at privately and US-owned firms scored higher for individualism. The score for long-term orientation was also higher in state-owned firms than in privately and US-owned firms. However, contrary to the expectation, the scores for Chinese employees for power distance in state-owned firms were lower than in the others, while the scores for masculinity in state-owned firms were higher than for the others. Chinese employees in all three types of firms showed lower scores than reported in previous studies for uncertainty avoidance.

This study contributes to a deepened understanding of how the cultural values of Chinese employees differ depending on firms’ ownership types, with significant implications for managers, who do business in China as they seek to establish management practices more closely aligned with the cultural values of Chinese employees.

This study may be the first attempt to examine how Chinese cultural values differ according to various ownership types. It suggests that Chinese employees at privately and US-owned firms have different cultural values from employees at state-owned firms, even though all three groups of employees are Chinese.

The aim of this study is to depict the spatial pattern of the development level of China's state-owned forest farms, thereby providing theoretical reference and empirical evidence for the improvement of the corresponding development policies.

A development evaluation index system was established in this paper to comprehensively measure the development level of China's state-owned forest farms based on the Pressure-State-Response (PSR) model analysis framework and the actual situation of state-owned forest farms by using the entropy weight - technique for order preference by similarity to an ideal solution (entropy weight TOPSIS) evaluation method and exploratory spatial analysis method.

Studies show that the state-owned forest farms in China are generally not well developed. The pressure system that represents the input level displays an apparent restrictive effect on provinces whose comprehensive score <0.15. The response system, which represents development dynamism, has an apparent restrictive function on the provinces whose comprehensive score is 0.35. In terms of the specific spatial characteristics, the V-shape displayed by southwest–northwest and southeast–northwest has an inward trend of gradual reduction, with high-low agglomeration and low-low agglomeration correlation effects as well as apparent basin characteristics.

In this paper, the development level and spatial pattern of state-owned forest farms in China were accurately depicted, and the development path support and decision-making basis were provided for improving the overall development level of state-owned forest farms in China.

The purpose of this paper is to provide scientific guidance for the integration of industrialization and information (TIOII). In recent years, TIOII has promoted the development of intelligent manufacturing in China. However, many enterprises blindly invest in TIOII, which affects their normal production and operation.

This study establishes an efficiency evaluation model for TIOII. In this paper, entropy analytic hierarchy process (AHP) constraint cone and cross-efficiency are added based on traditional data envelopment analysis (DEA) model, and entropy AHP–cross-efficiency DEA model is proposed. Then, statistical analysis is carried out on the integration efficiency of enterprises in Guangzhou using cross-sectional data, and the traditional DEA model and entropy AHP–cross-efficiency DEA model are used to analyze the integration efficiency of enterprises.

The data show that the efficiency of enterprise integration is at a medium level in Guangzhou. The efficiency of enterprise integration has no significant relationship with enterprise size and production type but has a low negative correlation with the development level of enterprise integration. In addition, the improved DEA model can better reflect the real integration efficiency of enterprises and obtain complete ranking results.

By adding the entropy AHP constraint cone and cross-efficiency, the traditional DEA model is improved. The improved DEA model can better reflect the real efficiency of TIOII and obtain complete ranking results.

The rapid evacuation of personnel in emergency situations is of great significance to the safety of pedestrians. In order to further improve the evacuation efficiency in emergency situations, this paper proposes a pedestrian evacuation model based on improved cellular automata based on microscopic features.

First, the space is divided into finer grids, so that a single pedestrian occupies multiple grids to show the microscopic behavior between pedestrians. Second, to simulate the velocity of pedestrian movement under different personnel density, a dynamic grid velocity model is designed to establish a linear correspondence relationship with the density of people in the surrounding environment. Finally, the pedestrian dynamic exit selection mechanism is established to simulate the pedestrian dynamic exit selection process.

The proposed method is applied to single-exit space evacuation, multi-exit space evacuation, and space evacuation with obstacles, respectively. Average speed and personnel evacuation decisions are analyzed in specific applications. The method proposed in this paper can provide the optimal evacuation plan for pedestrians in multiple exit and obstacle environments.

In fire and emergency situations, the method proposed in this paper can provide a more effective evacuation strategy for pedestrians. The method proposed in this paper can quickly get pedestrians out of the dangerous area and provide a certain reference value for the stable development of society.

This paper proposes a cellular automata pedestrian evacuation method based on a fine grid velocity model. This method can more realistically simulate the microscopic behavior of pedestrians. The proposed model increases the speed of pedestrian movement, allowing pedestrians to dynamically adjust the speed according to the specific situation.