Purpose The purpose of this paper is to understand the influence of knowledge-sharing behavior (KSB) on the innovative work behavior (IWB) and job satisfaction (JS) among employees considering the moderating role of motivating language (ML) of supervisors. Design/methodology/approach The hypothesized relationships were examined applying modeling of structural equation and hierarchical multiple regression analysis. The data was collected from Chinese multinational companies in Kazakhstan with final sample of 322 respondents. Findings The findings suggest that the link between KSB and JS is significantly positive with the moderating impact of ML, while KSB itself has significantly negative effect on JS. Moreover, ML buffers the insignificant effect of KSB on IWB. Originality/value Research is atypical, as it has focus on the moderating roles of ML in the direct relationship of employee KSB and JS, and in the direct linkage of employee KSB and IWB in Chinese multinational organization in the network field.

This paper investigates a patrol problem based on air-ground cooperation between multiple UAVs and police vehicles. Facing the uncertainty of patrol environment and patrol resources, the model guarantees the deterrence and emergency response capability of the patrol mission by optimizing the allocation strategy of patrol points and patrol routes. Relying on genetic algorithms, we encode patrol points and UAV launch/recovery points together to enhance the local search ability and convergence of the algorithm. Based on the real case of the D police station in Beijing, we explore the interactions among patrol elements and the impact on patrol tasks in different patrol environments. The results show that the Patrol missions formulated by Air-Ground Cooperative Patrol Optimization Model can be used to develop patrol tasks with better environmental adaptability. By analyzing the relationship between multiple groups of patrol elements, controlling the number of UAVs in future missions can improve the security of the area. And raise the ratio of hovering time in medium-risk areas to lowrisk areas can improve the efficiency of patrols. INDEX TERMS air-ground cooperative, patrol elements, genetic algorithm, crime deterrence, emergency responseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.

Frequent emergencies highlight the importance of corporate resilience, and relationship governance behaviors have received much attention for improving firms’ resilience. This study uses structural equation modeling to test hypotheses based on trust theory and synergy theory. It investigates the impact of the behavioral operations management approach of collaborative action on manufacturers’ resilience in Chinese manufacturing firms during the COVID-19 pandemic. Environmental uncertainty is used as a moderating variable to explore its role between the trust relationship with suppliers and collaborative action, which are two types of relationship management behaviors. The results show that collaborative action positively affects each of the three stages of manufacturer resilience. Moreover, collaborative action mediates between the trust relationship with suppliers and the different dimensions of manufacturer resilience. Environmental uncertainty does not moderate the facilitative effect of the trust relationship with suppliers on collaborative action. This study examines the relational governance behavior of firms in the context of a particular Chinese culture to build a bridge between relational governance behavioral science and firm resilience management. This study tries to provide inspiration for managers to improve the risk management ability of manufacturing enterprises by using relationship management theory and behavioral science.

With the frequent occurrence of emergencies such as the COVID-19 pandemic in recent years, resilience has become increasingly important for the stable and sustainable development of the manufacturing companies. Despite growing interest in supply chain resilience, less attention has been paid to manufacturer resilience and how to improve it through supplier relationship governance. Based on resource-based view (RBV) theory, trust theory and the literature on resilience, this study developed new constructs of measuring manufacturer resilience by temporal logic and sheds light on how the trust relationship with suppliers affect manufacturer resilience via the information-sharing level. The data is collected from 351 respondents who are independent directors or managers of manufacturing companies in China. This study adopted exploratory factor analysis (EFA) and structural equation modeling (SEM) to explore the dimensions of manufacturer resilience and to test the hypotheses. The results reveal that the trust relationship with suppliers has significant positive impacts on three dimensions of manufacturer resilience, that is, preparedness, responsiveness, and recovery capability. In addition, the information-sharing level partially mediates the impact of the trust relationship with suppliers on manufacturer resilience. Specifically, the information-sharing level positively affects preparedness, responsiveness, and recovery capability. Moreover, the trust relationship with suppliers facilitates the information-sharing level. Finally, the study contributes to the manufacturer resilience literature and provides useful guidance for the manufacturing enterprises in enhancing resilience quickly.

Abstract:Purpose: This paper mainly focuses on the exactly and precisely supply of carrying spare parts problem which has a crucial impact on supporting work and improving the performance of equipment. Spare parts support has been the crux work that will be limited by allocation of spare parts and input support cost. Reasonable support strategy may subserve the high efficiency of available resources allocation and supporting the equipment in normal operational status. The purpose of this paper is to propose a dynamics model of spare parts support process based on considering the interaction of multiple factors, and explore the regulation of dynamics behavior in the system. Further, findings indicate that it is more helpful to achieve the optimization strategy than to cut inventory, results of the former suggest that improve on the effect of support so that will enhance the relevant support parameters of equipment.Design/methodology/approach: Consider the feedback relationship among some important factors of support that involves support cost, support time and maintenance ability. System dynamics theory is adopted to propose a dynamics model of spare parts support process, on the analysis of multiple factors and casual relationship to find some major ones which have crucial impact on spare parts support. Spare parts support cost and availability was regarded as the control objective, moreover, adjust the control paramours and improve the effect of cannibalization and lateral supply scheduling strategy for spares support.-636-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1345Findings: The factors of spare parts supply, demand and maintenance have relationship of control feedback, and adjust the value of some crucial factors can reduce the support cost and improve the availability value. The main finding is that adopting cannibalization strategy under condition of available materials can relieve the mission and operational availability decline caused by shortage of spare parts. Combining the lateral supply and cannibalization strategy can reduce the inventory of warship carrying spare parts. Practical implications:By controlling the value of key factors regarding aspect of spare parts supply, logistics and maintenance planning. Decision makers can have a visualization guideline to make the adjustment of support strategy, and can achieve better management of equipment and spare parts.Originality/value: This paper proposes a dynamics model and focuses on exploring the dynamics behavior of the support system that could help in improving the ability of warship equipment to make supply support strategy easily. It can provide visualization guideline for decision maker in the enterprise.

This paper develops an optimal condition-based maintenance (CBM) strategy for a singleunit system during two-stage failure, a process that includes a normal stage and delay-time stage. Both stages are divided into the in-control state and out-of-control state. In the in-control state, the items are always produced with 100% quality, whereas in the out-of-control state, the item quality deteriorates, and minor repairs are arranged accordingly to fix this problem. This causes the optimal CBM strategy for system production to exhibit four different scenarios, where different calculations are carried out using renewal reward theory to determine the system profit. Then, the system profit is optimized by an availability-cost hybrid factor that balances the "cost per unit time" and "availability". Finally, to investigate the effects of different decision objectives on the optimization results, a sensitivity study of the cost parameter and availability-cost weight factor is conducted on the optimized results through numerical simulations. According to the simulation results, this availability-cost hybrid factor, as well as the "cost per unit time" and "availability" factors, become less sensitive when it exceeds 0.6. INDEX TERMS Condition-based maintenance, delay time, hybrid evolution factor, inspection, two-stage failure process.

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PurposeThe purpose of this paper is to examine the impact of two typical relationship management approaches (trust relationship with suppliers and reciprocity) on manufacturer resilience in the context of the COVID-19 crisis. Moreover, this paper aims to deepen the understanding of environmental uncertainty's moderating effect on the association between the trust relationship with suppliers (TRS) and reciprocity.Design/methodology/approachStructural equation modeling has been used to test the hypotheses on 361 Chinese manufacturing firms' managers and independent directors during the COVID-19 crisis.FindingsThe results reveal that reciprocity positively enhances three dimensions of manufacturer resilience, namely, preparedness, responsiveness and recovery capability. Reciprocity positively mediates the relationships between TRS and preparedness, responsiveness and recovery capability. Moreover, environmental uncertainty moderates the association between TRS and reciprocity.Practical implicationsThis study highlights the critical role of reciprocity, the relational governance approach, in enhancing manufacturer resilience in practice. This paper suggests that during emergencies such as the COVID-19 pandemic, managers should adopt trust and reciprocity in supplier relationship governance to strengthen the resilience of manufacturing companies and adapt effective strategies according to the environment.Originality/valueThis study is unique in developing new scales of manufacturer resilience through interviews and surveys with Chinese manufacturers and theoretical research. Based on the social capital theory and social exchange theory, this study shed light on the role of trust and reciprocity. It also bridges relational governance theory with the literature on manufacturing firm resilience literature to help manufacturers better understand the transdisciplinary links between relationship management and resilient operations in emergencies.