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Based on the stimuli-organism-response (SOR) theory, the purpose of this study is to demonstrate the impact of consumers’ engagement in pro-environment activities on social media on consumer green consumption behaviour, and explore the explicatory mechanism and boundary conditions for the relationship between them.

This study collected data from 312 Chinese consumers by using the research platform Credamo, a Chinese online survey platform. A structural equation model and hierarchical regression modelling were used to analyse the data.

Consumers’ engagement in pro-environmental activities on social media has a positive influence on environmental awareness that positively affects green consumption behaviour. Environmental awareness plays a mediating role in the relationship between consumers’ engagement in pro-environmental activities on social media and green consumption behaviour. Furthermore, green intrinsic motivation and green extrinsic motivation play positive and negative regulating roles respectively in the relationship between environmental awareness and green consumption behaviour.

This study enriches the research on the antecedent variables of green consumption behaviour. At the same time, it also expands the research on the outcome variables of the impact of engagement in environmental protection activities on people’s subsequent behaviour, deepens and expands the research on green consumption behaviour and its applicable boundaries, offering both theoretical insights and practical implications for enterprise marketing strategies and government management.

This paper aims to examine the effects of both transient and chronic loneliness on consumers’ variety-seeking (VS) behavior and to identify the various underlying mechanisms involved.

Four studies were adopted to clarify how transient and chronic loneliness affect consumers’ VS behavior.

Both transient and chronic loneliness promote consumers’ VS behavior. More importantly, the effect of transient loneliness on VS behavior is driven by perceived loss of control, whereas the effect of chronic loneliness on VS behavior is driven by need for uniqueness and sensation-seeking.

To the best of the authors’ knowledge, this research is the first to explore the differential roles of transient and chronic loneliness on VS behavior, which may open new avenues for future research. First, future research could investigate moderators that influence the impacts of transient and chronic loneliness on VS behavior. Second, future research could examine different participant populations and use cognitive neuroscience techniques to further verify the differential roles of these two types of loneliness on VS behavior.

This research contributes to marketing practice by providing practical guidance on how to effectively design different marketing strategies to promote VS for consumers with different types of loneliness. For consumers with transient loneliness, marketers can benefit from a concerted focus on improving consumers’ sense of control. Yet, for consumers with chronic loneliness, marketing strategies that improve consumers’ need for uniqueness will be more effective.

This research contributes to the literature on loneliness and consumer behavior, which has largely overlooked the distinct roles of different types of loneliness (i.e. transient vs chronic loneliness) in influencing consumer behavior. Specifically, this paper conducted a comparative analysis of the impacts of transient and chronic loneliness on consumers’ VS behavior and proposed that transient and chronic loneliness promote consumers’ VS behavior through divergent underlying mechanisms.

The purpose of this study is to describe the mechanism of single-crystal high-temperature creep deformation, predict the creep life more accurately and study the creep constitutive and lifetime models with microstructure evolution.

The mechanical properties of nickel-based single-crystal superalloy are closely related to the γ' phase. Creep tests under four different temperature and stress conditions were carried out. The relationship between creep temperature, stress and life is fitted by numerical method, and the creep activation energy is obtained. The creep fracture surface, morphology and evolution of strengthening phase (γ') and matrix phase (γ) during different creep periods were observed by scanning electron microscope. With the increase of creep temperature, the rafting time is advanced. The detailed morphology and evolution of dislocations were observed by transmission electron microscope (TEM).

With the increase of creep temperature, the rafting time is advanced. The detailed morphology and evolution of dislocations were observed by TEM. Dislocations are mainly concentrated in the γ channel phase, especially at high temperature and low stress.

A creep constitutive model based on the evolution of γ' phase size and γ channel width was proposed. Compared with the experimental results, the predicted creep life is within 1.4 times error dispersion band.

As a crucial institutional form established since the Chinese economic reform, the system of competitive local governments has been shaping the characteristics of China's socialist market economy to a considerable degree.

This study not only adopts the view of existing studies that attribute the economic motive of local governments to rent and consider land public finance as a means through which local governments carry out strategic investment but also attempts to further develop the view within a Marxist analytical framework.

As a result, the local governments have helped to maintain an incredibly high investment rate over a considerable period of time, facilitating the continuous, rapid growth of the Chinese economy.

This study concludes that China's local governments function as the productive allocator and user of rent in the strategic investment based on land public finance and thereby embed themselves in the relative surplus-value production initially arising from competition amongst enterprises, forming the dual structure of relative surplus-value production unique to China's economy.

Given the importance of frontline employees in implementing the service strategy, the purpose of this paper is to examine whether service-orientated human resource management (SHRM) practices are important organizational antecedents to help manufacturing firms gain the benefit of the service strategy. Furthermore, the paper also explores whether SHRM practices promote manufacturing firms’ performance through demand-side search.

This study employs survey methodology to examine a research model that explores whether and how SHRM practices influence manufacturing firms’ performance through demand-side search. Data from 151 high-tech manufacturing firms in a science park of China are analyzed to test the research model.

This study finds that SHRM practices can enhance manufacturing firms’ performance, and demand-side search plays a mediating role in this relationship.

Depending on a single science park in China to provide cross-sectional subjective data for the core variables and the choice of firms limits the capacity to generalize the findings.

These findings suggest that during transition to service business model, manufacturing firms should design supported organizational systems, especially SHRM practices, and commit to demand-side search as an efficient means to gain the benefit of the service strategy.

The study highlights the crucial role of SHRM practices in the implementation of the service strategy, as well as the mediating role of demand-side search. These results provide some new insights to explain the inconsistent findings in the servitization literature.

The purpose of this paper is to explore the relationship between top management team (TMT) internal social capital and strategic decision-making speed, and further explore role of TMT behavioral integration in their relationship. It reveals how TMT internal social capital impacts strategic decision-making speed.

On the basis of the social capital theory and upper echelons theory, at first, a model about TMT internal social capital and strategic decision-making speed is proposed by exploratory case study. Then, the data obtained via questionnaire from 67 TMTs by software SPSS 19.0 and AMOS 17.0 are analyzed, and the theoretical hypotheses as mentioned above are verified.

The empirical study found that different dimensions of TMT internal social capital have significant positive impact on TMT behavioral integrity; TMT behavioral integrity has significant positive impact on strategic decision-making speed; and TMT behavioral integrity as an intermediary variable played a brokering role in the relationship between TMT internal social capital and strategic decision-making speed.

The study enriches the empirical test on the relationship between TMT internal social capital and decision speed, thereby helping the authors further understand how to improve the speed of strategic decision making in TMT.

This study aims to solve the premature failure of the rubber stator due to wear, reduce the frictional resistance moment of the screw pump to solve the problem of a model of Daqing oilfield screw pump oil recovery system shutdown after the difficult start.

For the first time, the rotor surface of a screw pump was treated with dot-matrix texture to study the effect of dot matrix texture on the tribological performance of the stator-rotor friction subsets of screw pump. Reciprocating friction tests with different texture morphologies (S-shape, double tongue) and angular parameters (0°, 45° and 90°) were conducted at 10% of the texture area and pump silicone grease.

When point texture was added to the surface of the rotor sample, the friction coefficient and wear quantity of the sample were lower than those of the surface without texture treatment, and the double tongue 0° combination showed the best tribological properties. At this time, the average coefficient of friction and wear is reduced by 22.8% and 62%, 28.6% and 64.8%.

The introduction of texture can effectively improve the tribological performance of progressive screw pumps, and this paper provides important theoretical and experimental support for the design of progressive screw pumps in practical applications.

This study proposes a predictive neural network model reference decoupling control method for the coupling problem between the leg joints of hydraulic quadruped robots, and verifies its decoupling effect..

The machine–hydraulic cross-linking coupling is studied as the coupling behavior of the hydraulically driven quadruped robot, and the mechanical dynamics coupling force of the robot system is controlled as the disturbance force of the hydraulic system through the Jacobian matrix transformation. According to the principle of multivariable decoupling, a prediction-based neural network model reference decoupling control method is proposed; each module of the control algorithm is designed one by one, and the stability of the system is analyzed by the Lyapunov stability theorem.

The simulation and experimental research on the robot joint decoupling control method is carried out, and the prediction-based neural network model reference decoupling control method is compared with the decoupling control method without any decoupling control method. The results show that taking the coupling effect experiment between the hip joint and knee joint as an example, after using the predictive neural network model reference decoupling control method, the phase lag of the hip joint response line was reduced from 20.3° to 14.8°, the amplitude attenuation was reduced from 1.82% to 0.21%, the maximum error of the knee joint coupling line was reduced from 0.67 mm to 0.16 mm and the coupling effect between the hip joint and knee joint was reduced from 1.9% to 0.48%, achieving good decoupling.

The prediction-based neural network model reference decoupling control method proposed in this paper can use the neural network model to predict the next output of the system according to the input and output. Finally, the weights of the neural network are corrected online according to the predicted output and the given reference output, so that the optimization index of the neural network decoupling controller is extremely small, and the purpose of decoupling control is achieved.

The paper attempts to analyze the network structure of value activity in manufacturing clusters, propose the model of value creation of cluster's value activity network, and explore the inner mechanism and optimization strategies of value creation in manufacturing clusters from the perspective of cluster's value activity network.

This paper applies a genetic algorithm to optimally search in the target space, and repeatedly exerts genetic operation (select, cross, variation) on the population to explore the optimal configuration strategy between value creation activity and resource utilization. It also analyzes the relation between object function of value creation and relative parameters.

The total value created by value activity network was impacted by the degree of effective configuration between all kinds of resources and value activities; the total value created by value activity network is positively related to activity units' elasticity coefficient of value creation of human resource, material resources and relations resource, and is negatively correlated to cost coefficient of human resource, material resources and relations resource; when the cooperative relations between activity units create positive relationship profit, the total value created by value activity network increases with the increase of cooperative relations between activity units.

Enterprises in clusters should reasonably configure and incorporate the resource among value activities through adding, deleting or reconfiguring activities, which makes the value activities network create maximum value; enterprises can transform the type of activity units to increase elasticity coefficient of value creation of human resources, such as transforming production activities into the high value‐added activities; enterprises can optimally incorporate the technical, material resources and human resources among activities to increase value creation elastic coefficient of material resources; enterprises can decrease cost coefficient by maintaining the stability of long‐term cooperation with the suppliers and strengthening the cultivation of talents; enterprises can increase profits from relation resource or reduce cost coefficient of relationship by updating activities, building trust mechanism and communication mechanisms and establishing long‐term cooperation relationship to improve value creation activities.

This paper proposes the model of value creation from the perspective of cluster's value activity network, and applies a genetic algorithm to explore the optimal configuration strategies between value creation activity and resource utilization.