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A country’s institutional environment influences every facet of its business. This paper aims to identify institutional factors (state ownership, government attention on employment and employees’ educational background) that affect the asymmetric cost behavior in China.

Using 2,570 listed firms’ data between 2002 and 2015, we use empirical models to explore the effects of state ownership, government attention on employment and employees’ educational background on the asymmetric cost behavior in China.

This study found that the asymmetric cost behavior of central state-owned enterprises (CSOEs) is greater than local state-owned enterprises (LSOEs). Meanwhile, the empirical results show that government attention on employment is reflected in five-year government plans, and employees’ educational backgrounds are positively associated with asymmetric cost behavior.

This study contributes to the economic theory of sticky costs, institutional theory and asymmetric cost behavior literature by providing evidence that shows how government intervention and employee educational background limit the flexibility of corporate cost adjustments. Additionally, this study provides guidance to policymakers by showing how government long-term plans affect firm-level resource adjustment decisions.

This study aims to investigate the effect of microalloyed Ca and Ce on microstructure and corrosion behavior of Mg-1.5Zn alloy. Mg-1.5Zn-xCa-xCe alloys were prepared by melting, extrusion and rolling processes.

The effects of adding Ca and Ce elements alone or adding Ca and Ce elements simultaneously on the microstructure and corrosion resistance of Mg-1.5Zn-xCa-xCe (x = 0 or 0.2 Wt.%) alloys were studied by scanning electron microscopy, hydrogen evolution tests and electrochemical experiments.

The addition of Ca and Ce elements alone or the addition of Ca and Ce elements had little impact on the grain size of the rolled and annealed Mg-1.5Zn-xCa-xCe alloy, but had a greater effect on the type and quantity of the second phase.

The order of the corrosion rates for the three alloys was Mg-1.5Zn-0.2Ca < Mg-1.5Zn-0.2Ca-0.2Ce < Mg-1.5Zn-0.2Ce. Mg-1.5Zn-0.2Ca showed the best corrosion resistance, which was related to the second phase and corrosion products.

Distribution of long-haul goods could be managed via multimodal transportation networks where decision-maker has to consider these factors including the uncertainty of transportation time and cost, the timetable limitation of selected modes and the storage cost incurred in advance or delay arriving of the goods. Considering the above factors comprehensively, this paper establishes a multimodal multi-objective route optimization model which aims to minimize total transportation duration and cost. This study could be used as a reference for decision-maker to transportation plans.

Monte Carlo (MC) simulation is introduced to deal with transportation uncertainty and the NSGA-II algorithm with an external archival elite retention strategy is designed. An efficient transformation method based on data-drive to overcome the high time-consuming problem brought by MC simulation. Other contribution of this study is developed a scheme risk assessment method for the non-absolutely optimal Pareto frontier solution set obtained by the NSGA-II algorithm.

Numerical examples verify the effectiveness of the proposed algorithm as it is able to find a high-quality solution and the risk assessment method proposed in this paper can provide support for the route decision.

The impact of timetable on transportation duration is analyzed and making a detailed description in the mathematical model. The uncertain transportation duration and cost are represented by random number that obeys a certain distribution and designed NSGA-II with MC simulation to solve the proposed problem. The data-driven strategy is adopted to reduce the computational time caused by the combination of evolutionary algorithm and MC simulation. The elite retention strategy with external archiving is created to improve the quality of solutions. A risk assessment approach is proposed for the solution scheme and in the numerical simulation experiment.

This paper aims to further develop stator permanent magnet (PM) type memory machines by providing generalized design guidelines for double-stator memory machines (DSMMs) with hybrid PMs. This paper discusses the design experience of DSMMs and presents a comparative study of radial magnetization (RM) and circumferential magnetization (CM) types.

It begins with an introduction to RM and CM operating principles and magnetization mechanisms. Then, a comparative study is conducted for one of the RM-DSMM rotor pole pairs, inner and outer stator clamping angles and low coercive force PMs thickness. Finally, the two machines’ finite element simulation performance is compared. The validity of the proposed machine structure is demonstrated.

In this paper, the double-stator structure is extended to parallel hybrid PM memory machines, and two novel DSMMs with RM and CM configurations are proposed. Two types of DSMMs have PMs and magnetizing windings on the inner stator and armature windings on the outer stator. The main difference between the two is the arrangement of PMs on the inner stator.

Conventional stator PM memory machines have geometrical space conflicts between the PM and armature windings. The proposed double-stator structure can alleviate these conflicts and increase the torque density accordingly. In addition, this paper contributes to comparing the arrangement of hybrid PMs for DSMMs.

The influence of Zn concentration on microstructure and corrosion performance of the Mg–xZn alloys microalloyed with Ca and Ce was investigated through optic microscopy, scanning electron microscopy, hydrogen evolution, dynamic polarization and electrochemical impedance spectroscopy experiments.

In this paper, Mg–xZn alloys (x = 0.5∼2.0 Wt.%) microalloyed with Ca and Ce (0.2 Wt.% each) were prepared.

As the increase of Zn concentration, the number of second phase particles (Mg-Zn-Ca, Mg-Zn-Ce and Mg-Ce phases) increased, and when the Zn concentration increased to 2.0 Wt.%, the new second phase Mg-Zn phase was precipitated.

The influence of Zn concentration on corrosion mechanism of Mg-xZn alloys microalloyed with Ca and Ce was revealed. Increasing of the Zn concentration resulted in the intensification of galvanic corrosion. When Zn concentration was 0.5 Wt.%, the alloy showed the lowest corrosion rate (0.61 mm y-1), which was about 1/2 of that of Mg-2.0Zn-0.2Ca-0.2Ce alloy.

This study aims to explore whether top management team (TMT) faultlines affect corporate digitalization and what the impact mechanism is, thus effectively promoting the digital transformation of enterprises from the perspective of optimizing TMT structure.

This study sampled companies that were listed in China between 2011 and 2020. Using the two-way fixed effect model, it empirically tests the impact of TMT faultlines on the digital transformation of enterprises.

TMT task-related faultline significantly positively impacts enterprise digital transformation, while the bio-demographic faultline has a significant negative effect. The regulatory role played by Chief Executive Officer (CEO) power intensity in the relationship between the bio-demographic faultline and digital transformation is a negative one. The above relationship is strongly influenced by industry technical sophistication, corporate location and listing board.

The research has promoted the development of the upper echelons theory in the context of digitalization. Moreover, it enlightens the research of digital transformation’s influencing factors and mechanisms. However, no suitable mediating variable was found.

This research has significant implications for managers to optimize the internal structure of the TMT according to different enterprises’ business strategies in order to establish an efficient management team.

This study provides a new theoretical framework for TMT’s role in enterprise digital transformation. Further, it makes a beneficial exploration of the boundary and situational conditions of their relationship.

The purpose of this study is to reveal the lead–lag structure between international crude oil price and stock markets.

The methods used for this study are as follows: empirical mode decomposition; shift-window-based Pearson coefficient and thermal causal path method.

The fluctuation characteristic of Chinese stock market before 2010 is very similar to international crude oil prices. After 2010, their fluctuation patterns are significantly different from each other. The two stock markets significantly led international crude oil prices, revealing varying lead–lag orders among stock markets. During 2000 and 2004, the stock markets significantly led international crude oil prices but they are less distinct from the lead–lag orders. After 2004, the effects changed so that the leading effect of Shanghai composite index remains no longer significant, and after 2012, S&P index just significantly lagged behind the international crude oil prices.

China and the US stock markets develop different pattens to handle the crude oil prices fluctuation after finance crisis in 1998.

This paper aims to examine the effect of new product launch actions and firm reputation on firm performance in the Chinese auto industry.

This analysis adopts empirical data from 66 auto firms in China’s auto market from 2007 to 2012 to explore how new product launch actions undertaken by a firm can contribute to achieving superior performance and to investigate the relationships between new product launch actions and firm performance. Moreover, how firm reputation interacts with new product launch actions to affect firm performance is also investigated. Fixed effects regression model following the Hausman specification test was used to quantitatively examine the relationship.

It was concluded that the focal firm’s new product launch actions, including new product launch breadth, complexity and heterogeneity of its new repertoire of product launch actions, and firm reputation can impact its performance. Firm reputation can impact the signaling process and the capability of firms to enhance their performance via new product launch movements.

This research contributes to new product launch research by providing a more comprehensive view of competitive dynamic actions by which a firm’s performance is strengthened by examining the effects of two factors that affect performance. These factors are as follows: the characteristics in terms of breadth, complexity, and heterogeneity of new product launch actions undertaken by a firm and the characteristic of firm reputation.

The purpose of this paper is to assess the performance of the stabilised moving least squares (MLS) scheme in the meshless local Petrov–Galerkin (MLPG) method for heat conduction method.

In the current work, the authors extend the stabilised MLS approach to the MLPG method for heat conduction problem. Its performance has been compared with the MLPG method based on the standard MLS and local coordinate MLS. The patch tests of MLS and modified MLS schemes have been presented along with the one- and two-dimensional examples for MLPG method of the heat conduction problem.

In the stabilised MLS, the condition number of moment matrix is independent of the nodal spacing and it is nearly constant in the global domain for all grid sizes. The shifted polynomials based MLS and stabilised MLS approaches are more robust than the standard MLS scheme in the MLPG method analysis of heat conduction problems.

The MLPG method based on the stabilised MLS scheme.

This study aims to explore how and when negative workplace gossip damages hospitality employees’ career growth, based on social information processing (SIP) and social cognitive career theories.

The authors gathered data from 379 individuals working in Guangzhou’s hospitality industry with a multi-wave survey.

This research found that negative workplace gossip harms career growth by damaging one’s personal reputation, and concern for reputation plays a moderating role. In particular, employees displaying greater concern for reputation are more inclined to perceive a diminished personal reputation when exposed to negative workplace gossip, resulting in more negative assessments of their career growth prospects in their organization.

This study has some practical implications. It highlights the need to mitigate negative workplace gossip by fostering a harmonious work environment, implementing reputation-focused training programs and providing support to employees who are particularly concerned about their personal reputations.

This research contributes to the knowledge by empirically revealing the career consequences of negative workplace gossip, incorporating personal reputation and concern for reputation in the theoretical model and advancing research in the vocational and gossip domains. It also enriches SIP and social cognitive career theories while focusing on the hospitality industry.