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The purpose of this paper is to describe the development of a balanced scorecard (BSC) for flight line maintenance (MX) activities in the US Air Force.

The BSC development process consists of three stages: groundwork, design beginning with structuring of organizational strategic elements through performance measure identification and construction of the BSC framework, and finalization for continuous improvement.

Based on logistics expert responses the authors validated a case BSC for flight line MX activities within an aircraft maintenance unit. Validation was done with respect to perspective measures including mission, influencing factors, management, and information enhancement.

BSC development through identification of mission critical performance measures should improve performance of aircraft scheduling and achievement of mission objectives. Guidelines were used to develop a case validated by Air Force logistics personnel.

The objective of this study was to examine how high-social and low-social virtual live streamers affect consumers' experiential value (utilitarian value and hedonic value) and the mechanism and boundary conditions behind the effect.

The research consisted of four laboratory experiments.

The results showed that socialness has a positive significant effect on experiential value. Social presence mediated the effect of socialness on utilitarian value and hedonic value. In the relationship between socialness and experiential value, the moderating effects of communication style and situation were significant.

This study provides managerial implications for online stores about the use of virtual live streamers.

The finding of this paper extends the literature on virtual humans or avatars, enriches the literature on the characteristics of virtual humans and tests the explanatory power of social response theory.

China is the world's largest consumer of pesticides. To increase the use efficiency and achieve more sustainable and environmentally friendly use of pesticides in China, it is crucial to understand why Chinese farmers use such a large amount of pesticides.

The relationship between farm size and pesticide use was investigated by using national household-level panel data from 1995 to 2016.

Farms that are small and fragmented lead to the use of large amounts of pesticides in China. For a given crop type, three factors contribute to a negative relationship between farm size and pesticide use: the spillover effect from the use of pesticides by other farmers in the same village, the level of mechanization and the management ability of farmers. The first two factors play important roles in the cultivation of grain crops, while the last factor is the main reason why farmers with larger plots of land use fewer pesticides in the cultivation of vegetables. In addition, the effect of agricultural machinery services on reducing the use of pesticides is currently limited, and the service system in China is still insufficient, which has been pointed out that it is also due to the prevalence of small and fragmented farms.

The authors investigate and compare the farm size–pesticide use relationship in both grain and cash crop production. Moreover, the authors systematically explore and explain how farm size is related to a reduction in pesticide use in the cultivation of grain crops and cash crops. These results can help to better understand the role of land scale in pesticide use, lay a foundation for the formulation of policies to reduce pesticide use and provide valuable knowledge about pesticide use for other developing countries around the world.

Existing empirical studies emphasize the role of customer preference measurement accuracy (CPMA) on customized product quality while neglecting the role of manufacturing flexibility. However, the rise of web-based technology has highlighted consumer-manufacturer interaction in mass customization (MC). This paper explores the relationships between CPMA, manufacturing flexibility, customer participation and customized product quality, inspired by module decomposition and integration theory.

The study carried out a questionnaire survey of 241 directors who are specifically responsible for MC in the apparel industry in China and tested hypotheses with structural equation modeling (SEM).

CPMA has a direct positive influence on customized product quality and an indirect positive effect through manufacturing flexibility. Also, customer participation after placing an order (CPAPO) has a negative moderating effect on the linkage between CPMA and manufacturing flexibility.

A more dynamic relationship between CPMA and MF can be explored in the future, and the findings can be tested in other industries with more abundant data.

Manufacturing flexibility should be improved along with CPMA in MC. Also, disruptions caused by customer participation in the post-design stage should be noticed. In this context, better consumer service in the early design stage may be one possible solution.

First, the essential but unexplored mediating role of manufacturing flexibility is identified, adding knowledge to the consumer–manufacturer interaction literature in MC production. Second, module decomposition and integration are applied to unify consumers and manufacturers into one empirical model, enriched theoretical research on modular theory. Third, this study opens new discussions on the moderating role of customer participation.

The purpose of this paper is to investigate dynamics of causal interactions and financial risk contagion among BRICS stock markets under rare events.

Two methods are adopted: The new causal inference technique, namely, the Liang causality analysis based on information flow theory and the dynamic causal index (DCI) are used to measure the financial risk contagion.

The causal relationships among the BRICS stock markets estimated by the Liang causality analysis are significantly stronger in the mid-periods of rare events than in the pre- and post-periods. Moreover, different rare events have heterogeneous effects on the causal relationships. Notably, under rare events, there is almost no significant Liang's causality between the Chinese and other four stock markets, except for a few moments, indicating that the former can provide a relatively safe haven within the BRICS. According to the DCIs, the causal linkages have significantly increased during rare events, implying that their connectivity becomes stronger under extreme conditions.

The obtained results not only provide important implications for investors to reasonably allocate regional financial assets, but also yield some suggestions for policymakers and financial regulators in effective supervision, especially in extreme environments.

This paper uses the Liang causality analysis to construct the causal networks among BRICS stock indices and characterize their causal linkages. Furthermore, the DCI derived from the causal networks is applied to measure the financial risk contagion of the BRICS countries under three rare events.