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Drawing from self-regulation theories, this study aims to present a model linking customer mistreatment to hotel employees’ displaced workplace deviance via self-regulatory depletion, with disposition-based mindfulness as a first‐stage moderator.

The authors conducted a multisource, multiwave investigation with 245 focal–coworker dyads at 14 full-service hotels in southern China. Descriptive statistics, confirmatory factor analysis and regression analysis were performed.

The results demonstrated the mediating role of self-regulatory depletion in provoking hotel employees’ displaced deviant reactions to customer mistreatment. Additionally, employees with high trait mindfulness are less vulnerable to self-regulatory depletion and, thus, less likely to exhibit displaced workplace deviance.

This study enables hospitality administrators to understand that organizations and their employees, whether directly mistreated by customers, are potential victims of such negative events. Hospitality organizations should enhance mindfulness-based interventions and provide more humane care for employees to maintain their self-regulatory abilities, thereby reducing displaced workplace deviance.

First, in contrast to studies focusing primarily on internal factors that trigger employees’ deviant responses, the research suggests that mistreatment by external customers is a potentially meaningful yet largely unexamined antecedent of workplace deviance. Second, this study moves beyond “self-gain” explanations, suggesting that employees display deviance not because of a malicious intent to harm the organization or its members but because they are incapable of controlling their undesirable behaviors. Third, the research highlights how mindfulness mitigates customer mistreatment and displaced workplace deviance relationships.

The purpose of this paper is to investigate organizational information technology (IT) deployment from a dual decision-making perspective. This study builds on rational choice theory to characterize how the costs and values of incumbent IT and those of the corresponding new cloud computing influence a company's dual decision of discontinuance and acceptance.

This study chooses cloud computing as the research context, since it is one of the most well-accepted ITs in current practice. By using survey methodology, the data were collected from organizations around the world. Our hypotheses were examined via multimethod analyses, including the partial least squares, the multinomial log it regression and the analysis of variance.

This research reveals that organizations often follow the dual decision-making process in IT deployment regarding a non-cloud, hybrid structure and full-cloud considers incumbent IT discontinuance and new cloud computing acceptance. These results indicate that organizations may embrace cloud computing because of its perceived high system compatibility and low support costs. Meanwhile, security threats remain the primary obstacles to conducting business in the cloud.

Previous studies mainly focus on a single aspect and do not reveal the intricacies of the interactions between the reduction of incumbent IT and the addition of new IT. To address this gap in the body of knowledge, our study proposes a dual decision model based on a dialectical understanding of new and incumbent IT mechanisms instead of a singular IT acceptance model.

To develop a high‐order compact finite‐difference method for solving flow problems containing shock waves.

A numerical algorithm based on high‐order compact finite‐difference schemes is developed for solving Navier‐Stokes equations in two‐dimensional space. The convective flux terms are discretized by using advection upstream splitting method (AUSM). The developed method is then used to compute some example laminar flow problems. The problems considered have a range of Mach number that corresponds to subsonic incompressible flow to hypersonic compressible flows that contain shock waves and shock/boundary‐layer interaction.

The paper shows that the AUSM flux splitting and high‐order compact finite‐difference methods can be used accurately and robustly in resolving shear layers and capturing shock waves. The highly diffusive nature of conventional flux splitting especially on coarse grids makes them inaccurate for boundary layers even with high‐order discretization.

This paper presents a high‐order numerical method that can accurately and robustly capture shock waves without deteriorating oscillations and resolve boundary layers and shock/boundary layer interaction.

Gives a bibliographical review of the finite element methods (FEMs) applied for the linear and nonlinear, static and dynamic analyses of basic structural elements from the theoretical as well as practical points of view. The range of applications of FEMs in this area is wide and cannot be presented in a single paper; therefore aims to give the reader an encyclopaedic view on the subject. The bibliography at the end of the paper contains 2,025 references to papers, conference proceedings and theses/dissertations dealing with the analysis of beams, columns, rods, bars, cables, discs, blades, shafts, membranes, plates and shells that were published in 1992‐1995.

A current technological trend, which has gained even more traction recently due to the COVID-19 pandemic, is the use of augmented reality (AR) in shopping environments. AR is addressing contemporary challenges rooted in online shopping (e.g. in terms of experientiality and try-on) and is fundamentally reshaping consumers' experiences. The purpose of this study is to provide a synthesized and structured overview of the state-of-the-art research focused on AR shopping.

The authors conduct a systematic literature review of the empirical academic corpus focused on shopping via AR technology.

The review reveals the diverse psychological (cognitive, affective, and social) as well as behavioral outcomes related to the use of AR in the shopping context. The authors integrate the results into a framework for AR induced consumer behavior in shopping, thereby providing an important overview of the dynamics in AR-related shopping and the factors influencing the adoption of the technology by consumers. Specifically, the authors encountered that the technological abilities of AR (e.g. in terms of interactivity, vividness, informativeness, etc.) are a source for enhanced utilitarian and hedonic shopping experiences that can support intentions to purchase a product, reuse an AR app, or recommend it to others. Importantly, our review reveals the demand for several avenues for future research.

The authors provide an overview and synthesis of how and where AR is employed in shopping contexts, what theories and technological characteristics of AR are commonly analyzed, and what psychological and behavioral outcomes AR has been found to evoke. Based on our findings, the authors derive a framework that illustrates the dynamics in AR shopping and give an in-depth discourse on 13 future research agenda points related to thematic, theoretical, methodological, and technological matters.

Recognizing the differences between generations Y and Z, this exploratory study uses generational cohort theory as a framework to examine the brand perception of McDonald's, an international brand which has grown up with consumers for over 30 years in China. The paper aims to discuss this issue.

Measures of brand perception was built based on Aaker's brand personality model. A total 1,103 valid questionnaires were collected through an online survey platform. Factor analysis is the primary method to analysis the data.

The findings of this study reveal a favourable brand perception of McDonald's among young Chinese consumers which is consistent with Aaker's brand personality model and support the use of generational cohort theory as a market segmentation tool for brand perception. The differences between the two generational cohorts are not shown to be significant.

The most important contribution of this study is the evaluation of the personality of a major brand in China for Gen Z, a topic with very little existing research. Also, this research suggests future in-depth research into generational cohort theory in a Chinese context by recognizing homogeneity and heterogeneity exist simultaneously between generational cohorts.

Aiming to simplify the extraction of embodied carbon data using a building information modeling (BIM) software, the purpose of this paper is to present a framework that integrates BIM and life cycle assessment (LCA), which are useful to the architecture, engineer and construction (AEC) industry. As a further purpose, this study also tests four different wall systems.

The study applies design science research and it presents a framework that integrates BIM and LCA. For analysis and validation, a case study features four different wall systems costs based on the Brazilian context. In the proposed framework, SimaPro8 accomplishes the LCA, while ArchiCAD 19 the modeling.

The first analysis covers embodied carbon and the second covers the total cost of each m² of wall. The proposed framework performs well, and it is effective in the Brazilian context. Concerning the walls, the wood frame system is the most sustainable option within this analysis and the most financially feasible option in Brazil.

The present study contributes to embodied carbon data analysis, ensuring that the best choice of elements and components is being used in the building project. This BIM–LCA integrated solution is valuable not only to the AEC industry and to professionals, but also to future researchers. This analysis is of great value to new ventures, since the society shows a great concern about reducing GHGs emissions.

The aim of this study is to discern the role of digital finance in driving rural industrial integration and revitalization. Specifically, it intends to shed light on how the deep development of digital finance can contribute to the optimization and transformation of the rural industrial structure. The research further explores the particular effects of this financial transformation in the central and western regions of China.

This research studies the influence of digital finance on rural industrial integration across 30 Chinese provinces from 2011 to 2020. Utilizing the entropy weight method, a comprehensive evaluation index system is established to gauge the level of rural industrial integration. A two-way fixed effects model, intermediary effect model, and threshold effect model are employed to decipher the relationship between digital finance and rural industrial integration.

Findings reveal a positive relationship between digital finance and rural industrial integration. A single threshold feature was identified: beyond a traditional finance development level, the marginal effect of digital finance on rural industrial integration increases. These effects are more noticeable in central and western regions.

Empirical outcomes contribute to policy discourse on rural digital finance, assisting policymakers in crafting effective strategies. Understanding the threshold of traditional finance development provides a new perspective on the potential of digital finance to drive rural industrial integration.

A firm is technically efficient when it produces the maximum level of output for a given level of input on the assumption that technology is fixed. Although the above definition of technical efficiency has been around for decades, economists have, for the most part, been estimating average production functions (i.e. production functions that assume that all firms are technically efficient except for random noise), and then proceeding to make inferences regarding the potential of firms from this average production function.

China has become a driving force in the world economy, yet East‐West cultural differences remain a problem area for many managers. This paper examines the importance of Confucianism in shaping societal values in China and how these values have affected the Chinese style of management. Confucian principles are extracted from the extant literature and used to explain the cultural underpinnings of Chinese leadership patterns, interpersonal behaviors and individual values. The longevity of Confucian influences throughout Chinese culture is a major factor in China’s resistance to Western management practices. There is also evidence that mainstream Confucian principles emphasizing teamwork, relationships and strong corporate cultures are gaining traction in the West. Future Western researchers should pay increased attention to East Asian philosophies and Asian‐based religions in their attempts to understand non‐Christian lifestyles and management methods.