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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 study aims to let researchers sort out the past, look to the future and boost further management research.

This paper takes the exploration of the application of AR in the field of management research as the starting point. Through the combing and induction of AR literature to accurately grasp the essential characteristics of AR, this paper analyzes the application prospects and possible difficulties of AR in the field of management research in China, puts forward specific suggestions and explores the specific path of the transformation of management academic research to practice from the perspective of research methods.

In research methods, empirical research and case studies have become the mainstream research methods, but there is a passive research limitation of “study what happens.” Action research is different from the standpoint of empirical research that is independent of the research object. It no longer simply treats managers as the “object of information acquisition,” but as the subject of participating in the research. Management should be oriented towards the transformation of practice, and action research (AR) that can organically integrate researchers and practitioners is just a “bridge” to break the gap between academia and business circles to establish a cooperative relationship.

This paper takes the exploration of the application of AR in the field of management research as the starting point. Through the combing and induction of AR literature to accurately grasp the essential characteristics of AR, this paper analyzes the application prospects and possible difficulties of AR in the field of management research in China, puts forward specific suggestions and explores the specific path of the transformation of management academic research to practice from the perspective of research methods.

Given the great upheaval in the international situation and the increasing operating risk in international business, research on corporate diplomacy is thriving. However, it still lacks clear conceptualization and operationalization. Based on social capital theory, our study conceptualizes corporate diplomacy as a three-dimensional construct and quantifies its distinct and combined impacts on multinational enterprises’ (MNE) subsidiary performance.

This research analyzes 134 responses collected from a questionnaire survey among key informants in Chinese MNEs using the regression method.

This research finds that corporate diplomacy is positively correlated with MNEs’ subsidiary performance. Specifically, compatriot-oriented diplomacy is the most effective, followed sequentially by host-partner-oriented and host-regulator-oriented diplomacy. In addition, compatriot-oriented diplomacy substitutes for host-partner-oriented diplomacy but complements host-regulator-oriented diplomacy in enhancing subsidiary performance.

Our research enriches the conceptualization and operationalization of corporate diplomacy and provides a nuanced view of its distinct and combined effects on MNEs’ subsidiary performance.

With the rapid development of the sharing economy in manufacturing industries, manufacturers and the equipment suppliers frequently share capacity through the third-party platform. This paper aims to study influences of manufacturers sharing capacity on the supplier and to analyze whether the supplier shares capacity as well as its influences.

This paper deals with conditions that the supplier and manufacturers share capacity through the third-party platform, and the third-party platform competes with the supplier in equipment sales. Considering the heterogeneity of the manufacturer's earning of unit capacity usage and the production efficiency of manufacturer's usage strategies, this paper constructs capacity sharing game models. Then, model equilibrium results under different sharing scenarios are compared.

The results show that when the production or maintenance cost is high, manufacturers sharing capacity simultaneously benefits the supplier, the third-party platform and manufacturers with high earnings of unit capacity usage. When both the rental efficiency and the production cost are low, or both the rental efficiency and the production cost are high, the supplier simultaneously sells equipment and shares capacity. The supplier only sells equipment in other cases. When both the rental efficiency and the production cost are low, the supplier’s sharing capacity realizes the win-win-win situation for the supplier, the third-party platform and manufacturers with moderate earnings of unit capacity usage.

This paper innovatively examines supplier's selling and sharing decisions considering manufacturers sharing capacity. It extends the research on capacity sharing and is important to supplier's operational decisions.

The purpose of this paper is to investigate the effect of thermal‐oxidative aging at 150°C on the mechanical properties of carbon fibre reinforced bismaleimide composites.

Composites specimens after thermo‐oxidative aging at 150°C for various times (up to 1,000 h) were investigated by scanning electron microscopy (SEM) for fracture morphology, Fourier transform infrared (FTIR) spectroscopy for chemical structures, and flexural strength test and inter‐laminar shear strength (ILSS) test for mechanical properties.

The results indicated that the mechanical properties of carbon fibre/BMI composites were affected significantly by testing temperature rather than by aging time. SEM results showed that the good adhesion of fibre and matrix resulted in the better mechanical properties. The composites showed lower flexural strength and ILSS at 150°C due to the viscoelastic behaviour of matrix resin. The FTIR spectra confirmed the decomposition of crosslinked maleimide occurred just on the surface of composites during various aging times.

Results indicated that carbon fibre/BMI composites had excellent heat resistance and aging resistance.

Due to their excellent thermal and mechanical properties, the carbon fibre/BMI composites show greater potential for their applications in some extreme fields such as aerospace and machine.

The paper investigates the relationships of the fracture morphologies of composites and chemical structures of matrix resin to the mechanical properties after thermo‐oxidative aging.

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.

Anchored in the role of a social arbiter, the purpose of this study is to examine whether and how media coverage has an impact on CEO overconfidence and further explore how media ownership and Confucianism affect the relationship in the Chinese context.

Using a sample of 1,492 Chinese listed companies from 2010 to 2015, the study adopts random effects models to empirically analyze the effect of media coverage on CEO overconfidence and the roles of media ownership and Confucianism.

The paper finds that media coverage is significantly and positively associated with CEO overconfidence, and the positive relationship between media coverage and CEO overconfidence becomes stronger for state-controlled media. What is more, the influence of media coverage on CEO overconfidence is attenuated for those firms located in stronger Confucianism atmosphere. A further analysis reveals that different tenors of media coverage yield asymmetric effects.

The paper provides a new and solid support for the argument that media praise stimulates CEO overconfidence and increases the knowledge about under what conditions CEO overconfidence varies, broadly speaking which fosters the development of upper echelons theory (UET). Meanwhile, the results extend the literature on media effect and information processing. The findings are also beneficial to improve corporate decisions and government regulation on Chinese media systems.

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.

This study aims to report on experimental asset markets designed to examine the impact of a levy on trade, as well as the taxation authority’s ability to raise tax revenue when markets are subject to mispricing. Some have suggested that a transaction tax will discourage irrational speculation and lead to more efficient markets, but others argue that a higher cost of trading will prove to be an impediment to trade with no useful outcomes.

The authors’ goal is to provide insight on the impact of a transaction tax in a very specific asset market. The authors chose this design because the robustness of the bubble and crash pattern points to an environment that is particularly appropriate for the study of the effectiveness of a transaction tax in promoting efficient pricing. Furthermore, in a laboratory, the authors can control for extraneous factors that are problematic in the study of naturally occurring environments.

The authors examine whether a securities transaction tax promotes efficiency in markets that are prone to mispricing and find little evidence that a tax on trade will reduce speculation.

This study’s experimental environment is, of course, an abstraction of naturally occurring markets and it may be that the model excludes important aspects.

The authors find that a tax on financial transactions allows the taxation authority to raise significant revenue with little impact on pricing or trading volume.

To the best of the authors’ knowledge, this study is the first systematic examination of a transaction tax on outcomes in a market that is prone to mispricing.

In a state capitalist country such as China, an important influence on company reporting is the government, which can influence company decision-making. The nature and impact of how the Chinese government uses its symbolic power to promote corporate environmental reporting (CER) have been under-studied, and therefore, this paper aims to address this gap in the literature by investigating the various strategies the Chinese government uses to influence CER and how political ideology plays a key role.

This study uses discourse analysis to examine the annual reports and corporate social responsibility (CSR) reports from seven Chinese companies between 2007 and 2011. And the data analysis presented is informed by Bourdieu's conceptualisation of symbolic power.

The Chinese government, through exercising the symbolic power, manages to build consensus, so that the Chinese government's political ideology becomes the habitus which is deeply embedded in the companies' perception of practices. In China, the government dominates the field and owns the economic capital. In order to accumulate symbolic capital, companies must adhere to political ideology, which helps them maintain and improve their social position and ultimately reward them with more economic capital. The findings show that the CER provided by Chinese companies is a symbolic product of this process.

The paper provides contributions around the themes of symbolic power wielded by the government that influence not only state-owned enterprises (SOEs) but also firms in the private sector. This paper also provides an important contribution to understanding, in the context of a strong ideologically based political system (such as China), how political ideology influences companies' decision-making in the field of CER.