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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 paper aims to study the constraint solutions of the periodic coupled operator matrix equations by the biconjugate residual algorithm. The new algorithm can solve a lot of constraint solutions including Hamiltonian solutions and symmetric solutions, as special cases. At the end of this paper, the new algorithm is applied to the pole assignment problem.

When the studied periodic coupled operator matrix equations are consistent, it is proved that constraint solutions can converge to exact solutions. It is demonstrated that the solutions of the equations can be obtained by the new algorithm with any arbitrary initial matrices without rounding error in a finite number of iterative steps. In addition, the least norm-constrained solutions can also be calculated by selecting any initial matrices when the equations of the periodic coupled operator matrix are inconsistent.

Numerical examples show that compared with some existing algorithms, the proposed method has higher convergence efficiency because less data are used in each iteration and the data is sufficient to complete an update. It not only has the best convergence accuracy but also requires the least running time for iteration, which greatly saves memory space.

Compared with previous algorithms, the main feature of this algorithm is that it can synthesize these equations together to get a coupled operator matrix equation. Although the equation of this paper contains multiple submatrix equations, the algorithm in this paper only needs to use the information of one submatrix equation in the equation of this paper in each iteration so that different constraint solutions of different (coupled) matrix equations can be studied for this class of equations. However, previous articles need to iterate on a specific constraint solution of a matrix equation separately.

Sharing and disseminating debunking information are critical to correcting rumours and controlling disease when dealing with public health crises. This study investigates the factors that influence social media users' debunking information sharing behaviour from the perspective of persuasion. The authors examined the effects of argument adequacy, emotional polarity, and debunker's identity on debunking information sharing behaviour and investigated the moderating effects of rumour content and target.

The model was tested using 150 COVID-19-related rumours and 2,349 original debunking posts on Sina Weibo.

First, debunking information that contains adequate arguments is more likely to be reposted only when the uncertainty of the rumour content is high. Second, using neutral sentiment as a reference, debunking information containing negative sentiment is shared more often regardless of whether the government is the rumour target, and information containing positive sentiment is more likely to be shared only when the rumour target is the government. Finally, debunking information published by government-type accounts is reposted more often and is enhanced when the rumour target is the government.

The study provides a systematic framework for analysing the behaviour of sharing debunking information among social media users. Specifically, it expands the understanding of the factors that influence debunking information sharing behaviour by examining the effects of persuasive cues on debunking information sharing behaviour and the heterogeneity of these effects across various rumour contexts.