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Vehicle lightweight design has positive implications for reducing energy consumption and abating greenhouse gas emissions. The traditional trailer axle design mainly focuses on the overall performance of the trailer axle. Only when the local performance does not meet the requirements will local performance optimization be done, such as local heat treatment to improve local strength. Such a design results in an uneven distribution of axle performance and excess performance in some local structures. The purpose of this study is to investigate the weight reduction on the premise of ensuring the structural dimensions of the outer surface of the axle remain unchanged and the reliability of the axle.

The axle is parameterized by computer aided design, and the optimized axle finite element model based on computer aided engineering is established and verified by taking the eight dimensions of the axle cavity structure which affect the performance as parameters. A genetic algorithm is used to optimize the axle cavity structure size and axle weight based on multiobjective optimization, and eight optimized size parameters of axle cavity structure are obtained.

The total weight of the optimized axle of TM1314 is reduced by 10.2 kg, and the weight reduction ratio reaches 10.7%. According to the optimized structural size of the axle, the specimen was trial-manufactured, and the bench tests of stiffness, strength and fatigue life were carried out according to the test requirements of the trailer axle standard (JT/T 475-2002). The test results show that the maximum deformation of the specimen is 2.46 mm, the strength safety factor of the specimen body and the steel plate spring seat are 6.71 and 6.86 and bear the alternating load more than 1.05 × 106 times, which meets the standard of the trailer axle and is better than the original design requirements of the trailer axle.

In this study, the multiobjective optimization model of the axle is established, the response surface is constructed by the Latin hypercube sampling design method and the optimal solution set is obtained by the multiobjective genetic algorithm. It has been verified by bench tests that it can achieve a weight reduction of 10.7% under the premise of the same structure and size of the outer surface of the axle. The lightweight method based on multiobjective optimization proposed in this paper can provide a reference for the lightweight design of other key vehicle components.

The authors investigated how and when work connectivity behavior after-hours (WCBA) spilled over to cyberloafing, considering ego depletion as a mediator and motivations and workaholism as moderators. This paper aims to discuss the aforementioned objective.

In Study 1, 380 employees participated in a scenario experiment with a 2 × 2 between-subjects design. Studies 2 and 3 involved 483 and 406 employees, respectively in two two-wave surveys.

WCBA was indirectly linked to cyberloafing via ego depletion. However, when WCBA was driven by high autonomous and low controlled motivation, it exerted less influence on ego depletion, thus weakening the mediating effect of ego depletion. Moreover, the association between WCBA and ego depletion was not significant among employees accustomed to excessive work. The indirect effect of ego depletion also operated contingently on the level of excessive work.

The findings shed light on the spillover effects of WCBA, suggesting that WCBA may lead to cyberloafing by depleting resources. However, the influence of WCBA on ego depletion is concealed when employees engage in WCBA autonomously or are habituated to excessive work.

China is not only the biggest mutton consumer, but also the top mutton importer in the world. China’s urban households are becoming the key driving force behind a surge in mutton consumption. Therefore, the purpose of this paper is to investigate the determinants of mutton demand in urban China.

Based on a sample of 32,910 urban households across six provinces and autonomous regions, an inverse hyperbolic sine (IHS) double-hurdle model is estimated, by maximum likelihood estimation, to reveal the determinants of mutton consumption-at-home.

The empirical results indicate that, first, household income has a positive effect on mutton consumption, and higher income households have a higher income elasticity; second, wet weather increases probability, but reduces conditional level and unconditional level; finally, minority group households consume more mutton than Han group households.

It is necessary for policymakers to develop a long-term outlook in relation to the increase of China’s mutton appetite and to shift from a domestic perspective to a global one and develop diversified import strategies. Furthermore, policymakers require to make a practicable emergency preplan for tackling short-term agglomeration of demand for mutton, attributed to festivals, and religious events of a minority ethnic group.

This is a major work based on a large sample of 32,910 urban households conducted by the National Bureau of Statistics of China. This paper uses an IHS double-hurdle model to quantify the determinants of mutton consumption; it sheds light on the climatic, regional, and ethnic characteristics of mutton consumption in urban China.

China has experienced a fast economic growth and shown a significant rise in income inequality in the past decades. During the same period, fluid milk consumption in urban areas has rapidly expanded. The objective of this paper is to analyze and simulate the influence of income distribution changes on fluid milk consumption of households in urban China.

This study applies an inverse hyperbolic sine (IHS) double-hurdle model to modeling at-home fluid milk consumption of households across different income strata based on a sample of 11,861 urban households in five provinces in China, and simulating the impact of changing income distribution, including five income growth patterns, on fluid milk consumption of total households as well as specific household groups.

The fluid milk consumption in urban China will continue to increase, with the unconditional income elasticity being 0.334 for the full sample and 0.347, 0.335 and 0.162 for the low-, middle-, and high-income groups, respectively. The simulation results show an evidence that, compared with distribution-neutral and disparity-enlarging income growth patterns, a rising income equality would lead to a more significant increase in fluid milk consumption. And the inequality-reducing income growth pattern has a larger impact on fluid milk consumption of households with seniors and no children, as well as households having no local urban household registration (hukou).

The government should strengthen the supply measures of fluid milk in urban areas, enlarge domestic dairy production, and diversify the sources of milk imports. It is also necessary to subsidize low-income families, especially households with seniors or households migrated from other areas without getting local urban hukou, which could simultaneously improve nutritional benefits and alleviate financial pressures.

A simulation considering the evolution of income distribution as well as different household groups is conducted. Widely distributed data with a large sample size and detailed demographic information are used. The problems of zero consumption and non-normal distribution are addressed by the IHS double-hurdle model.

Based on upper echelons theory and social contagion theory, this study aims to explore how to translate leader sustainability orientation (LSO) into green supply chain integration (GSCI) by green entrepreneurial orientation (GEO), as well as the moderating effects of four dimensions of organizational learning capability (OLC).

This study conducts hierarchical regression analysis using multi-sourced survey data collected in 264 Chinese companies to examine hypotheses.

The results indicate that LSO has positive influences on green supplier and customer integration. Furthermore, GEO partially mediates the impacts of LSO on green supplier and customer integration. Managerial commitment positively moderates the impact of LSO on GEO, while other dimensions such as systems perspective, openness and experimentation and knowledge transfer and integration have non-significant moderating effects.

This study enriches the existing research on internal drivers of GSCI and contributes to the understanding of the direct impact of LSO and mediating effects of GEO. This study extends social contagion theory boundaries by investigating the moderating effects of OLC on the relationship between LSO and GEO.

This rejoinder aims to critique some of the perspectives in Chen’s (2018) study on hospitality and host–guest paradigm in China.

In this preliminary probe into Chen’s study, critical analysis is performed on Chen’s approaches, whereas document analysis is applied to the relevant ancient Chinese writings. Translations are the author’s own unless indicated otherwise.

Chen’s views are problematic and supported by patchy evidence. “Hierarchy principle” and “host-centric foundation” do not hold up. In a series of asymmetrical comparisons, Chen goes a bit too far in arguing for uniqueness.

This rejoinder presents valid critiques of Chen’s study, thus directing future research in the right direction. It is of some significance to clarify Chen’s misrepresentations and offer a truer and fuller account of Chinese hospitality, given the difficulty for international scholars to validate Chen’s views because of language barrier and cultural unfamiliarity.

Weather affects consumer decision-making. However, academic research on how weather factors affect specific takeaway foods is limited. This paper aims to fill in the gap and therefore to contribute to online marketing and operation.

Web crawler techniques were first exploited to collect takeaway food ordering data from Meituan, the world’s largest GMV platform. Then statistics models and a time series regression model were selected to study the weather impact on online orders.

The findings highlight that certain weather factors, such as temperature, air quality and rainfall have clear effects on most category takeaway orders.

Quantitative analysis of weather impacts on the takeaway ordering business will help to guide the online service platforms for marketing promotion and the settled businesses to make reasonable arrangements for inventory and marketing tactics.

This study aims to evaluate enterprise technology innovation capability in prefabricated construction (PC) from an input-output perspective, using six integrated enterprises in China as cases.

An evaluation system for enterprise technology innovation capability in PC was constructed, including total input, technology output (TO) and project output. All the evaluation indexes were quantified, and the subject and object indexes weights were determined using the fuzzy cognitive map and information entropy, respectively. The final scores and ranks were evaluated through gray relational analysis (GRA) based on the combined weights.

It was found that enterprise technology innovation capability in PC was low in China, with its unbalanced development in different dimensions and the poorest performance in TO, currently.

This research has developed an evaluation system for technology innovation capability in PC at the enterprise level and scientifically quantified all the indexes, which is a breakthrough over existing studies. The GRA model based on the combined weights proposed in this study can be applied to other comparable fields and regions, with its easy operation.

This study aims to examine the double-edged effects of guanxi on opportunism and the moderating effects of legal enforceability and partner asset specificity. It thus differs from the current literature, which primarily focuses on the benevolent effects of guanxi.

Based on matched data collected from 268 sales manager and salesperson dyads, this study tested hypotheses using hierarchical regressions.

The empirical test supports the conceptual model and demonstrates two findings. First, guanxi between boundary spanners follows an inverted U-shaped relationship with inter-firm opportunism. Second, both the benefits and drawbacks of guanxi are stronger under the condition of low legal enforceability and high partner asset specificity.

The study did not untangle guanxi into different dimensions and did not investigate how firms should make trade-offs between the benefits and drawbacks of guanxi. Therefore, future research could further explore this question by using a multidimensional approach.

The study alerts managers that guanxi is a double-edged sword, so they should complement it with formal control mechanisms, particularly when they are operating in legally inefficient regions or when their partner firm’s asset specificity is high.

The study offers a more balanced view of guanxi by showing both its positive and negative effects on opportunism. It also uncovers legal enforceability and partner asset specificity as two boundary conditions that influence the curvilinear effects of guanxi on opportunism.