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This paper elucidates the role of anger in error management (EM) and organizational learning behaviors. The study explores how anger can catalyze learning, emphasizing its strategic implications.

A double-layered moderated-mediated model was developed and tested using data from 744 Chinese CEOs. The psychometric properties of the survey instrument were rigorously examined through structural equation modeling, and hypotheses were tested using Hayes's PROCESS macros.

The findings reveal that anger is a precursor for recognizing the value of significant errors, leading to a positive association with learning behavior among top management team members. Additionally, the study uncovers a triple interaction effect of anger, EM culture and supply chain disruptions on the value of learning from errors. Extensive experience and positive grieving strengthen the relationship between recognizing value from errors and learning behavior.

This study uniquely integrates affect-cognitive theory and organizational learning theory, examining anger in EM and learning. The authors provide empirical evidence that anger can drive error value recognition and learning. The authors incorporate a more fine-grained approach to leadership when including executive anger as a trigger to learning behavior. Factors like experience and positive grieving are explored, deepening the understanding of emotions in learning. The authors consider both negative and positive emotions to contribute to the complexity of organizational learning.

By drawing on the research paradigm of collective action that occurs in physical space, the present study aims to explore the antecedent predictors of network social mobilization – feeling of injustice – and discuss the emotional mechanism of this prediction: mediating effect of anger and resentment.

Micro-blog postings about network social mobilization were collected to develop the dictionary of codes of fairness, anger and resentment. Then, according to the dictionary, postings on Sina Weibo were coded and analyzed.

The feeling of injustice predicted network social mobilization directly. The predictive value was 27% and 33%, respectively during two analyses. The feeling of injustice also predicted social mobilization indirectly via anger and resentment. In other words, anger and resentment account for the active mechanism in which the feeling of injustice predicts network social mobilization. Mediating effect value was 29.63% and 33.33% respectively.

This study is our first exploration to use python language to collect data from human natural language pointing on micro-blog, a large number of comments of netizen about certain topic were crawled, but a small portion of the comments could be coded into analyzable data, which results in a doubt of the reliability of the study. Therefore, we should put the established model under further testing.

In the cyberspace, this study confirms the mechanism of network social mobilization, expands and enriches the research on social mobilization and deepens the understanding of social mobilization.

This study provides an empirical evidence to understand the network social mobilization, and it gives us the clue to control the process of network social mobilization.

This study uses the Python language to write Web crawlers to obtain microblog data and analyze the microblog content for word segmentation and matching thesaurus. It has certain innovation.

The study of shame has a long tradition in intra- and inter-personal psychology. This paper aims to investigate whether consumers can experience brand shame after self-relevant consumption incidents. Specifically, this research proposes that consumers follow a complex shame-inducing process in the aftermath of unpleasant experiences involving their favorite brand. The moderating role of relational tie strength between consumers and their favorite brand existing prior to symbolic failures is examined.

A scenario-based, online survey (n = 660) among consumers who have recently experienced a self-relevant failure with their favorite brand was conducted. Confirmatory factor analysis ensured the reliability and validity of the measurement model. For testing the conceptual model, data was analyzed by means of a moderated mediation analysis. The proposed model was tested against, among others, common method bias and alternative models. The findings were cross-validated with a scenario-based online experiment (n = 1,616).

Results show that brand shame is a key mediator between customer dissatisfaction and brand anger when self-relevant, symbolic failures happen. Moreover, strong consumer-brand identification triggers brand-detrimental effects. It is shown to influence the connection between consumers’ inward- (i.e. brand shame) and resulting outward-directed (i.e. brand anger) negative emotions on brands, which lead to consumer vengeance.

To the best of the authors’ knowledge, this research is the first to introduce the concept of situational brand shame to the literature on favorite brands. Furthermore, it shows that consumer-brand identification moderates the direct and indirect (via brand shame) unfavorable effects of failure-induced dissatisfaction on brand anger. This research adds insights to the investigation of the “love-becomes-hate” effect arising after self-relevant failures involving consumers’ most preferred brand.

The purpose of this study is to investigate how the emotion expressed by a fictitious proposer influences the responder’s decision to accept or reject a severely unfair deal, represented by the splitting of a predetermined sum of money between the two players during an ultimatum game (UG). Rejection leads both parts to dissipate that sum. Critically the authors consider the situation in which both players have the best alternative to negotiation agreement (BATNA), which simulates a backup plan to rely on in case of no agreement.

The participants played a UG and, to foster the ecological validity of the paradigm, the parts could both rely on a more or less generous BATNA. The critical manipulation was the emotion expressed by the proposer while their BATNA was either hidden (Exp. 1) or communicated (Exp. 2).

The proposer’s emotions influenced participants’ own emotions, affected their social evaluations about the proposer, the desire for future interactions with the proposer and were used to infer the proposer’s BATNA when it was unknown. In this latter case, proposers’ emotions and in particular his/her happiness, decreased dramatically the participants’ tendency to reject even severely unfair offers.

Past research on UG has been predominantly aimed to investigate the effect of responders’ emotions or the effects of responders’ emotions on the proposer, devoting little attention to how the critical responder’s acceptance/rejection decision might be affected by the proposer’s emotion. Especially in the ecological situation where the parts have a BATNA in case of non-agreement.

While research evidences how customers’ emotions can influence their consumer experience, understanding of how employees’ displayed emotions affect the customer service experience is more limited. Drawing on affect transfer theory, the authors test for the mediating role of attitude towards the employee, which is proposed to mediate the effect of employees’ displayed emotion on customers’ satisfaction with recovery. As service recovery entails a critical service experience in which emotions can easily rise, this paper aims to highlight the pivotal role of employee-displayed emotions during service recovery.

A scenario-based experiment in the context of an airline service failure recovery (3 × 2 between-subjects design) manipulates frontline employees’ emotions (anger vs happiness vs no specific emotion) and the quality of the solution (bad vs good).

Employees’ displayed emotions directly affect attitude towards the employee and indirectly affect service recovery satisfaction. Moreover, attitude towards the employee is affected more by the employee’s displayed emotion when the solution offered is bad compared to good.

Employees’ emotions displayed during service recovery can enhance or damage service recovery strategies. Employees should control for negative emotions in the case of service failure, especially when unable to provide a good solution.

Emotions displayed by employees can influence the customer’s service recovery evaluations. There is an interesting interaction between the quality of the solution and employees’ displayed emotions. Additionally, the mantra of “service with a smile” may not be valid in the case of service recovery: rather, employees should avoid displaying negative emotions.

A pesar de que la literatura ha demostrado la importancia que tienen las emociones en los consumidores, se sabe poco acerca de cómo influyen las emociones de los empleados. Basándonos en la teoría de la transferencia de afecto, testamos el papel mediador de la actitud hacia el empleado. Ésta se propone como mediadora del efecto que tiene la emoción mostrada por el empleado en la satisfacción del cliente. Este trabajo resalta el papel fundamental de las emociones mostradas por el empleado durante la recuperación del servicio.

Experimento (3x2 entre sujetos) basado en el fallo de una aerolínea. Se manipulan las emociones del empleado (enfado vs alegría vs ninguna emoción específica) y la calidad de la solución (mala vs buena).

Las emociones mostradas por los empleados afectan directamente a la actitud hacia el empleado e indirectamente a la satisfacción con la recuperación del servicio. La actitud se ve más afectada por la emoción mostrada por el empleado cuando la solución ofrecida es mala.

Las emociones mostradas por los empleados pueden contribuir o dañar las estrategias de recuperación del servicio. Los empleados deben controlar las emociones negativas, especialmente cuando no pueden ofrecer una buena solución.

Las emociones mostradas por los empleados influyen en la recuperación del servicio. Existe interacción entre la calidad de la solución y la emoción del empleado. Además, la consigna de “atender al cliente con una sonrisa” puede no ser válida en este contexto, siendo más relevante que los empleados no muestren emociones negativas.

虽然研究证明了顾客的情绪如何影响他们的消费体验, 但对员工所表现出的情绪如何影响顾客服务体验的理解却比较有限。借鉴情感转移理论, 我们测试了对员工态度的中介作用, 提出了员工表现出的情绪对客户对服务补救满意度影响的中介作用。由于服务补救涉及情绪容易上升的关键服务体验, 本文强调了员工表现出的情绪在服务补救过程中的关键作用。

在航空公司服务故障补救的背景下, 一个基于场景的实验（3x2主体间设计）操纵了一线员工的情绪（愤怒vs快乐vs无特定情绪）和解决方案的质量（差vs好）。

员工表现出来的情绪直接影响顾客对员工的态度, 间接影响对服务补救的满意度。此外, 当所提供的解决方案质量是差的, 而不是好的, 顾客对员工的态度受员工所表现的情绪的影响更大。

员工在服务补救过程中表现出来的情绪可以增强或破坏服务补救策略。在服务失败的情况下, 员工应该控制消极的情绪, 特别是在无法提供一个好的解决方案时。

员工表现出来的情绪会影响顾客的服务补救的评价。解决方案的质量和员工表现的情绪之间存在着有趣的互动。此外, “微笑服务 “的口号在服务补救的情况下可能是无效的：相反, 员工应该避免表现出负面情绪。

Primary teachers play a vital role in fostering pupils' successful futures. Therefore, gaining knowledge of primary teacher students' learning processes, including the achievement of information-seeking skills, is crucial. The aim of this paper is to understand better the interplay between cognitive appraisals and emotions in the constructivist process of learning and achieving information-seeking skills.

In-depth semi-structured interviews were conducted with six Swedish primary teacher students. The analysis of qualitative data was deductive and theory-driven, guided by Kuhlthau's information search process model, Scherer's semantic space of emotions and Pekrun's control-value theory of achievement emotions.

Anger/frustration, enjoyment and boredom were identified as activity emotions and anxiety, hopelessness and hope as prospective outcome emotions. The retrospective outcome emotions found were pride, joy, gratitude, surprise and relief. The appraisals eliciting the achievement emotions were the control appraisals uncertainty/certainty (activity and prospective outcome) and oneself/other (retrospective), and value appraisals negative/positive intrinsic motivation (activity) and failure/success (prospective and retrospective). The interplay between appraisals and emotions was complex and dynamic. The processes were individually unique, non-linear and iterative, and the appraisals did not always elicit emotions.

The study has theoretical and methodological implications for information behaviour research in its application of appraisal theories and the Geneva affect label coder. In addition, it has practical implications for academic librarians teaching information-seeking skills.

The purpose of this paper is to use the data analysis method of sentiment analysis to improve the understanding of a large data set of employee comments from an annual employee job satisfaction survey of a US hospitality organization.

Sentiment analysis is used to examine the employee comments by identifying meaningful patterns, frequently used words and emotions. The statistical computing language, R, uses the sentiment analysis process to scan each employee survey comment, compare the words with the predefined word dictionary and classify the employee comments into the appropriate emotion category.

Employee responses written in English and in Spanish are compared with significant differences identified between the two groups, triggering further investigation of the Spanish comments. Sentiment analysis was then conducted on the Spanish comments comparing two groups, front-of-house vs back-of-house employees and employees with male supervisors vs female supervisors. Results from the analysis of employee comments written in Spanish point to higher scores for job sadness and anger. The negative comments referred to desires for improved healthcare, requests for increased wages and frustration with difficult supervisor relationships. The findings from this study add to the growing body of literature that has begun to focus on the unique work experiences of Latino employees in the USA.

This is the first study to examine a large unstructured English and Spanish text database from a hospitality organization’s employee job satisfaction surveys using sentiment analysis. Applying this big data analytics process to advance new insights into the human capital aspects of hospitality management is intriguing to many researchers. The results of this study demonstrate an issue that needs to be further investigated particularly considering the hospitality industry’s employee demographics.