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Criticality cognitions regarding the same workplace event often differ between leaders and employees. Nevertheless, its consequences on employee work outcomes remain unknown. In this study, we draw on cognitive dissonance theory to examine how and why leader–employee differences in cognitions of workplace event criticality impact employee job-related outcomes.

Wu used multilevel polynomial regression analyses from a time-lagged, multi-source field study with 145 leader–employee dyads to test our proposed model.

Leader–employee differences in cognitions of workplace event criticality can bring both benefits and perils to employees. Specifically, such differences can cause employee rumination, which in turn leads to an increase in both employee voice and fatigue.

This study contributes to the event and cognitive discrepancy literature in four ways. First, prior event studies largely adopted a singular employee perspective for investigation (e.g. Chen et al., 2021; Lin et al., 2021). By examining the impacts of event criticality from the dual perspective of leaders and employees, we attain a more comprehensive understanding of the implications of workplace events in organizational life. Second, extant studies have predominantly focused on the dark side of cognitive discrepancy (e.g. Bashshur et al., 2011; Erdogan et al., 2004; Grandey et al., 2013). Our study reveals that leader–employee differences in criticality cognitions can have both a bright and a dark side on employee outcomes, offering a more balanced and dialectical view of the consequences of cognitive discrepancy. Third, drawing on cognitive dissonance theory, we introduce employee rumination as an underlying mechanism to explain the impacts of leader–employee differences in criticality cognitions on employee voice and fatigue. Finally, while prior cognitive dissonance research has primarily employed an intrapersonal perspective (e.g. Sivanathan et al., 2008; Pugh et al., 2011; Grandey et al., 2013), our study adopts an interpersonal lens and underscores that interpersonal differences in cognitions can also serve as an example of cognitive discrepancy to instigate internal dissonance processes. By doing so, we enrich our understanding of cognitive dissonance theory.

The purpose of this paper is, from a resource accumulation and resource allocation perspective, to examine the variant effects of government subsidies among firms with varying levels of market power and to test how industry competition moderates the relationship between market power and allocative efficiency of government subsidies.

This study explores the relationship between government subsidies and firm performance from a resource-based view. The authors study the moderating role of market power and three-way interaction between subsidy, market power and industry competition on firm performance. The authors test their hypotheses using a sample of Chinese A-share manufacturing firms from 2006–2019. The authors apply firm-level panel data regressions and conduct a series of robustness tests. The marginal effect of market power and industry competition is explored via three-way moderator effect models.

This study finds that government subsidies are negatively related to firm performance. Market power, on average, strengthens the negative effect of government subsidies on performance, but such a reinforcement effect is neutralized when industry competition is intense. Government subsidies are least efficiently used when firms have market power and industry competition is low. In addition, the authors use different forms of firm performance and a various of robustness tests to verify their assumptions.

This paper contributes to the literature as follows. First, the authors look into subsidy–performance problem from the perspective of the resource-based view and contribute to explaining and mitigating the divergence of current findings on the subsidy–performance relationship. Second, the authors introduce market power and industry competition as moderators to study how resource allocative efficiency affects the subsidy–performance relationship. Third, the authors propose that managerial incentives have played an important role in the allocation of government subsidies, which enriches management practices.

Crowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for realizing the effective governance of the government and the rapid development of economy, avoiding social chaos and mutation. Because crowd network is a large-scale, dynamic and diversified online deep interconnection, its most results cannot be observed in real world, and it cannot be carried out in accordance with traditional way, simulation is of great importance to put forward related research. To solve above problems, this paper aims to propose a simulation architecture based on the characteristics of crowd network and to verify the feasibility of this architecture through a simulation example.

This paper adopts a data-driven architecture by deeply analyzing existing large-scale simulation architectures and proposes a novel reflective memory-based architecture for crowd network simulations. In this paper, the architecture is analyzed from three aspects: implementation framework, functional architecture and implementation architecture. The proposed architecture adopts a general structure to decouple related work in a harmonious way and gets support for reflection storage by connecting to different devices via reflection memory card. Several toolkits for system implementation are designed and connected by data-driven files (DDF), and these XML files constitute a persistent storage layer. To improve the credibility of simulations, VV&A (verification, validation and accreditation) is introduced into the architecture to verify the accuracy of simulation system executions.

Implementation framework introduces the scenes, methods and toolkits involved in the whole simulation architecture construction process. Functional architecture adopts a general structure to decouple related work in a harmonious way. In the implementation architecture, several toolkits for system implementation are designed, which are connected by DDF, and these XML files constitute a persistent storage layer. Crowd network simulations obtain the support of reflective memory by connecting the reflective memory cards on different devices and connect the interfaces of relevant simulation software to complete the corresponding function call. Meanwhile, to improve the credibility of simulations, VV&A is introduced into the architecture to verify the accuracy of simulation system executions.

This paper proposes a novel reflective memory-based architecture for crowd network simulations. Reflective memory is adopted as share memory within given simulation execution in this architecture; communication efficiency and capability have greatly improved by this share memory-based architecture. This paper adopts a data-driven architecture; the architecture mainly relies on XML files to drive the entire simulation process, and XML files have strong readability and do not need special software to read.

To better understand how to retain hospitality customers in the fierce competition among mobile applications, this study aims to propose and empirically validates an integrative framework, which elaborates how conscious and subconscious factors, together with affective factors, may induce app loyalty and how brand viscosity moderates such effects.

The authors conducted an online survey to collect data and received a total of 268 valid responses. This study splits the data into two groups (brand viscosity vs non-viscosity). Then, the authors performed a multi-group structural equation modeling with Chi-square difference tests to compare the model between the two groups.

The findings support the integrative model and reveal that the influence of app satisfaction on loyalty is stronger for app users who do not stick to one brand across the website and mobile app channels. Moreover, for those with brand viscosity, habit and switching cost are two significant determinants that exert positive effects in inducing app loyalty.

Brand viscosity across different channels matters for the effects of habit and switching costs in shaping app loyalty. E-commerce managers should elaborate on brand management among various booking channels and establish effective digital marketing strategies to facilitate the formation of usage habits and switching costs and to enhance brand viscosity across channels.

This research advances the knowledge of app loyalty in hospitality by providing a comprehensive explanatory framework from affective, conscious and subconscious lenses. This research is among the first to unveil the impact of brand viscosity on the links between loyalty and its determinants.

The purpose of this paper is to explore the variation law between the clay microstructure and macro external force by using soil scanning electron microscope (SEM) images.

First, SEM images of clay were pre-processed by MATLAB, and quantitative statistical parameters such as directional probability entropy, fractal dimension and shape factor are extracted. Second, the distribution force model was proposed, considering that the microscopic parameters of soil particles were independent of each other, and the distribution coefficient was determined according to the analytic hierarchy process (AHP). Then, the fitted formula of quantitative statistical parameters based on the distribution force model was obtained by taking the macroscopic distribution force as independent variable and the microscopic parameters of soil particles as dependent variable. Finally, the correctness of corresponding fitting formula was verified.

The results showed that the change of external consolidation pressure has great influence on the directional probability entropy and fractal dimension, while the shape factor reflecting the regular degree of soil particle shape is less sensitive to the consolidation pressure. The fitting formula has high accuracy, and mostly the R value can reach more than 0.9. All the data have passed the test, which proves that the distribution force model proposed in this paper is rational.

The model can be used to connect the macroscopic stress of soil with the micro-structure deformation of soil particles through mathematical formula, which can provide reference for engineering practice.

This study aims to develop a comprehensive conceptual framework to investigate how green brand positioning strategies positively impact consumer response. It focusses on uncovering the causal mechanism in which such effect is mediated by brand stereotypes. Additionally, it outlines the moderating role of construal level in this formation process.

Three experimental studies were conducted to examine the hypotheses. Study 1 tests the positive influence of green brand positioning on consumer response. Study 2 tests the dual mediating effect of warmth and competence in the relationship between green brand positioning and consumer response. Study 3 further examines the moderating role of construal level in the effects of green brand positioning on brand stereotypes.

The findings reveal that green emotional positioning strategies are predominantly stereotyped as warm while green functional positioning strategies are predominantly stereotyped as competent. Both warm and competent mediate the effects of green brand positioning on consumer response. Furthermore, a congruency between green emotional positioning and high-level construal, as well as the match between green functional positioning and low-level construal, leads to more warmth and competence perception.

This study contributes to green brand management literature by proposing a brand stereotype-based mechanism to explain how green brand positioning strategies trigger consumers’ stereotyping process, leading to positive consumer response. This study also identifies the construal level as a moderating variable that impacts consumers’ warmth and competence perceptions towards two kinds of green brand positioning strategies. Managerially, the findings of this study provide managerial ideas for developing green branding strategies.

This research aims to provide a conceptual framework with the scope to assist in establishing sustainable supply chain clusters (SCCs) by providing an instrument for organisations to enhance the three sustainability dimensions in a dynamic environment.

This research proposes a conceptual framework to enhance sustainability and organisational performance through three theoretical lenses: the system theory, extended resource-based view and the dynamic capabilities (DCs) theory. This approach is carried out through a comprehensive review of the existing literature on SCCs.

Four main propositions are formulated and demonstrated using the developed framework, which expands the discussion about SCCs and their key characteristics in a dynamic environment. This is particularly relevant as it allows empirical testing of the theories in an SCC context.

It can be noted that more extensive research is needed to further understand the issues faced in establishing sustainable clusters. Drawing on the theoretical lenses to establish the framework helps to enhance the understanding and operational capabilities of sustainable SCCs during and after disruptions, such as the global disruption created by COVID-19.

This research paves the way to help organisations improve their adaptability to the dynamic business environment by emphasizing the importance of clustering and linking it to sustainability through DCs to establish a sustainable cluster.

This research aims to guide organisations' use of SCCs as tools to enhance sustainability in a dynamic environment, given that the relationship amongst supply chain cluster design characteristics (SCCDCs), DCs and sustainability remains unexplored. The combination of the three theoretical lenses in developing the proposed framework will assist in further understanding the applicability of these theories when they are considered together.

This study aims to develop a framework to explain the reciprocity of the value co-creation process in mobile hotel booking context and to clarify values for customer and supplier.

A research framework was developed based on the previous literature to derive insights on value co-creation process. Online surveys were conducted among mobile hotel bookers in China. Confirmatory factor analysis and structural equation modeling were used to test the proposed framework.

The findings suggested that suppliers should improve the values for customers (functionality, usability and perceived value) to achieve values for themselves [customer lifetime value (CLV), customer knowledge value (CKV), customer referral value (CRV) and customer influencer value (CIV)]. The relation between satisfaction and CLV was moderated by the CIV from other customers.

Suppliers should enhance customer value from the aspects of functionality, usability and perceived value to earn a competitive advantage. Moreover, for suppliers, non-transactional values such as other CIV play an increasingly critical role apart from economic value for development.

This study not only added empirical analysis on value co-creation in m-Tourism but also extended the current literature by validating a research model which integrates website evaluation research with Kumar et al. (2010)’s customer engagement value framework. Instead of serving as a mediator, mobile app was regarded as one of the indispensable actors involved in value co-creation.

With the help of multi-body dynamics software UM, the paper uses Kik–Piotrowski model to simulate wheel-rail contact and Archard wear model for rail wear.

The CRH5 vehicle-track coupling dynamics model is constructed for the wear study of rails of small radius curves, namely 200 and 350 m in Guangzhou East EMU Depot and those 250 and 300 m radius in Taiyuan South EMU Depot.

Results show that the rail wear at the straight-circle point, the curve center point and the circle-straight point follows the order of center point > the circle-straight point > the straight-circle point. The wear on rail of small radius curves intensifies with the rise of running speed, and the wearing trend tends to fasten as the curve radius declines. The maximum rail wear of the inner rail can reach 2.29 mm, while that of the outer rail, 10.11 mm.

With the increase of the train passing number, the wear range tends to expand. The rail wear decreases with the increase of the curve radius. The dynamic response of vehicle increases with the increase of rail wear, among which the derailment coefficient is affected the most. When the number of passing vehicles reaches 1 million, the derailment coefficient exceeds the limit value, which poses a risk of derailment.

The purpose of this paper is to describe the stability and properties of the direct metal laser fabrication (DMLF) process, by putting forward top surface quality (TSQ), which could be a unique and crucially important feature compared with traditional manufacturing methods.

Through the systematic and detailed analysis of DMLF process using related theories of additive manufacturing technologies, it was revealed that TSQ was the key factor for controlling the stability of DMLF process and thus tailoring final properties of metallic parts. Only good TSQ can ensure the stability of DMLF process and excellent performance of metal parts in theory.

TSQ was defined as the surface morphology in macro and micro scopes in laser scanning area of unit layers during DMLF, and could be characterized by three key elements: flatness, compactness and cleanliness. The flatness was the significant factor to assure the shaping during DMLF, while the compactness and cleanliness were the decisive factors to assure the final properties of metal part for DMLF. As an example, the typical top surface defects and their contributing factors in DMLF for Cu‐based metal powder mixtures were investigated thoroughly according to the proposed definition and requirements. Moreover, the specific controlling methods of TSQ were provided and discussed. Eventually, DMLF of three‐dimensional Cu‐based metal sample with complicate structure was successfully performed by taking some effective measures for adjusting TSQ parameters.

Few comprehensive investigations have been carried out on this topic. The definition and evaluation methods of TSQ for DMLF have been introduced for the first time in the present paper.