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The literature currently offers only fragmentary insights into the research on the relationship between employee emotions and human resource management (HRM). Therefore, further research is essential to bridge this knowledge gap. Our study aims to identify the mediating effects of positive employee emotions and exhaustion in the relationship between HRM and employee engagement.

Drawing on the literature review findings, a conceptual model was formulated to illustrate the relationship between HRM, employee emotions and engagement. A confirmatory analysis was conducted using structural equation modelling (SEM CFA) on a sample of 1,000 employees to validate the proposed model. The data were collected in 2021, with a particular emphasis on exploring the indirect influence of HRM on engagement through positive employee emotions and exhaustion.

The quantitative research aimed to test a model depicting the relationship between HRM and employee emotions. The findings indicate the robust effect of HRM on positive employee emotions and exhaustion. The authors observed significant variation in the level of impact depending on the size of the organisation (stronger in large firms) and the sector (stronger in the public sector).

The study bridges the gap in our understanding of the link between HRM and employee emotions. It would be advisable to further explore the specific impact of individual HRM practices on both positive and negative employee emotions. It is worth extending the scope of future research to explore components of the investigated constructs as well as mediators and moderators of the relationship between HRM and employee emotions.

Social media platforms are highly visible platforms, so politicians try to maximize their benefits from their use, especially during election campaigns. On the other side, people express their views and sentiments toward politicians and political issues on social media, thus enabling them to observe their online political behavior. Therefore, this study aims to investigate user reactions on social media during the 2016 US presidential campaign to decide which candidate invoked stronger emotions on social media.

For testing the proposed hypotheses regarding emotional reactions to social media content during the 2016 presidential campaign, regression analysis was used to analyze a data set that consists of Trump’s 996 posts and Clinton’s 1,253 posts on Facebook. The proposed regression models are based on viral (likes, shares, comments) and emotional Facebook reactions (Angry, Haha, Sad, Surprise, Wow) as well as Russell’s valence, arousal, dominance (VAD) circumplex model for valence, arousal and dominance.

The results of regression analysis indicate how Facebook users felt about both presidential candidates. For Clinton’s page, both positive and negative content are equally liked, while Trump’s followers prefer funny and positive emotions. For both candidates, positive and negative content influences the number of comments. Trump’s followers mostly share positive content and the content that makes them angry, while Clinton’s followers share any content that does not make them angry. Based on VAD analysis, less dominant content, with high arousal and more positive emotions, is more liked on Trump’s page, where valence is a significant predictor for commenting and sharing. More positive content is more liked on Clinton’s page, where both positive and negative emotions with low arousal are correlated to commenting and sharing of posts.

Building on an empirical data set from Facebook, this study shows how differently the presidential candidates communicated on social media during the 2016 election campaign. According to the findings, Trump used a hard campaign strategy, while Clinton used a soft strategy.

The purpose of this paper is to examine the association between consumers’ emotions towards emerging e-banking technology, perceived risk and subsequent intention to adopt emerging e-banking technology.

An online questionnaire was used to collect data, which were analysed in a quantitative study. The final sample of 224 educated young consumers, familiar with emerging e-banking technology, allowed testing of the research hypotheses by applying confirmatory factor analysis and structural equation modelling (SEM).

The empirical results indicate that deterrence emotions and hedonic motivation are associated with consumers’ perceived risk and, subsequently, their intention to adopt emerging e-banking technology. Additionally, analysing the moderating role of hedonic motivation in the association between consumers’ deterrence emotions towards emerging e-banking technology and their perceived risk highlights the significant association of deterrence emotions with perceived risk, regardless of the presence of hedonic motivation.

This study demonstrates the association between consumers’ emotions, perceived risk and subsequent intention to adopt emerging e-banking technology whilst underscoring the importance of distinguishing between different types of emotions and their corresponding appraisals.

Purpose: The emotions that accompany failure, in and of organizations, and their consequences have been researched in multiple domains of management, but comparative approaches have seldom been attempted. The failure of organizations to survive has been a common occurrence over centuries, particularly in the modern era of start-ups, innovation, and political, economic, and environmental turbulence. With the advent of the COVID-19 pandemic, failure at many levels of society, including the organizational and individual, has increased significantly and produced even more intense emotions. Study Design/Methodology/Approach: For this conceptual chapter, literature from many disciplines was consulted on failure in organizations, and the emotions it elicit, including studies on the process of failure as well as its outcomes. Findings: Failing and failure are likely to evoke negative emotions, with negative consequences for the actor. However, positive emotions can also occur, and a matrix of emotional valence and consequences presents an intriguing set of possibilities. The dimensions of emotions (valence, intensity, duration, and frequency) interact with a wide range of contributing factors (salience, personality, identity, emotional intelligence, emotional regulation, prior experience of failure, and context) in producing the emotions of failure and their consequences. Originality/Value: This chapter contributes to the literature by explicating the types of emotions that emanate during and after failure across many domains of management research, their dimensions and contributing factors, and the consequences for the individual actor. The model of the emotions of failure that is presented here assembles a wider variety of elements than prior research has offered. We indicate avenues for further research as we approach an era of even more demanding challenges.

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.

Previous research has studied interactive value formation (IVF) using resource- or practice-based approaches but has neglected the role of emotions. This article aims to show how emotions are correlated in problematic social media interactions and explore their role in IVF.

By combining a text mining algorithm, nonparametric Spearman's rho and thematic qualitative analysis in an explanatory sequential mixed-method design, the authors (1) categorize customers' comments as positive, neutral or negative; (2) pinpoint peaks of negative comments; (3) classify problematic interactions as detrimental, contradictory or conflictual; (4) identify customers' main positive (joy, trust and surprise) and negative emotions (anger, dissatisfaction, disgust, fear and sadness) and (5) correlate these emotions.

Despite several problematic social interactions, the same pattern of emotions appears but with different intensities. Additionally, value co-creation, value no-creation and value co-destruction co-occur in a context of problematic social interactions (peak of negative comments).

This study provides new insights into the effect of customers' emotions during IVF by studying the links between positive and negative emotions and their effects on different sorts of problematic social interactions.

Social media allow for observing different aspects of human behaviour, in particular, those that can be evaluated from explicit user expressions. Based on a data set of posts with user opinions collected from social media, this paper aims to show an insight into how the readers of different news portals react to online content. The focus is on users’ emotions about the content, so the findings of the analysis provide a further understanding of how marketers should structure and deliver communication content such that it promotes positive engagement behaviour.

More than 5.5 million user comments to posted messages from 15 worldwide popular news portals were collected and analysed, where each post was evaluated based on a set of variables that represent either structural (e.g. embedded in intra- or inter-message structure) or behavioural (e.g. exhibiting a certain behavioural pattern that appeared in response to a posted message) component of expressions. The conclusions are based on a set of regression models and exploratory factor analysis.

The findings show and theorise the influence of social media content on emotional user engagement. This provides a more comprehensive understanding of the engagement attributed to social media content and, consequently, could be a better predictor of future behaviour.

This paper provides original data analysis of user comments and emotional reactions that appeared on social media news websites in 2018.

How should researchers navigate and interpret the moral emotions evoked in them in research on trauma? In this reflective essay, the authors discuss their experience as researchers on moral injury (MI) in veterans and police personnel in the Netherlands. Stories of MI usually do not allow for a clear-cut categorization of the affected person as a victim or perpetrator. This ambivalence, in fact, is explicitly part of the concept of MI. It means however that researchers face complicated psychological, ethical and methodological challenges during research on MI.

The authors contemplate these challenges by describing two empirical cases demonstrating the particular moral challenges that emerge in MI research. Drawing from literature on qualitative research and emotions, the authors distil different perspectives on the role of moral emotions in research.

Reflecting on the ambivalent and difficult emotions the authors experienced as researchers when listening to personal accounts of moral injury, the authors offer insights into the necessity and delicacy of navigating between the methodological potential and the ethical and psychological risks of such emotions.

This study is relevant for all researchers examining trauma, in particular when the research is surrounded by complex ethical questions. While the issue of managing emotions in research on trauma is challenging in itself, it is further complicated when the stories related by respondents challenge the researcher's own moral beliefs and values.

The goal of this study is to test the real-world use of an emotion recognition system.

The researchers chose an existing algorithm that displayed high accuracy and speed. Four emotions: happy, sadness, anger and surprise, are used from six of the universal emotions, associated by their own mood markers. The mood-matrix interface is then coded as a web application. Four guidance counselors and 10 students participated in the testing of the mood-matrix. Guidance counselors answered the technology acceptance model (TAM) to assess its usefulness, and the students answered the general comfort questionnaire (GCQ) to assess their comfort levels.

Results from TAM found that the mood-matrix has significant use for the guidance counselors and the GCQ finds that the students were comfortable during testing.

No study yet has tested an emotion recognition system applied to counseling or any mental health or psychological transactions.

This study aims to reveal the impact of consumers’ price sensitivity on their purchase intention within the scope of supermarkets. Besides, the study aims to examine the impact of consumers’ price sensitivity on their price perception level and emotions and the impact of consumers’ price level perception and emotions toward supermarkets on their purchase intention. It also aims to detect the mediating effects of consumers’ price level perception and emotions toward supermarkets between their price sensitivity and purchase intention.

The quota sampling method was used to form the study sample. The population was 20–69-year-old consumers. The study sample included 513 consumers, 276 of whom were men, and 237 of whom were women. Data were collected via a questionnaire by the researchers in Mersin’s (Turkey) five central counties. Explanatory and confirmatory factor analyses and structural equation models were used to analyze data.

Consumers’ price sensitivity, perception of cheapness, perception of expensiveness and positive emotions toward supermarkets affect their purchase intention. Besides, price sensitivity affects their perception of cheapness while it does not affect their perception of expensiveness. It influences negative emotions, but not on positive emotions. Consumers’ perception of cheapness and perception of expensiveness have impacts on positive emotions toward supermarkets. It was additionally discovered that perception of cheapness and perception of expensiveness affected negative emotions toward supermarkets. A contributed finding was that perception of cheapness had a partial mediating role between price sensitivity and purchase intention.

The study provides managerial implications in terms of understanding consumers’ behavioral changes, developing effective pricing strategies and achieving competitive advantages over the other retailing companies.

The study illustrates that consumer behavior can be explained by a theoretical construct considering the price perception levels and emotions toward supermarkets in examining the effect of consumers’ price sensitivity on their purchase intention. Therefore, it contributes to explain consumers’ behavior by bringing the stimulus–organism–response (SOR) model into a theoretical construct.

本研究旨在揭示在超級市場的研究範疇內，消費者的價格敏感度對其購買意圖的影響。此外，本研究亦擬探討消費者的價格敏感度對其價格水平感知及情緒的影響，以及消費者的價格水平感知及對超級市場的情感對其購買意圖的影響。本研究亦旨在檢測在消費者的價格敏感度與購買意圖之間，其價格水平感知及對超級市場的情感兩者的仲介效果。

本研究用了配額抽樣法來建立研究樣本。研究的對象為20嵗至69嵗的消費者。研究樣本包括513名消費者，其中276人為男性，237人為女性。數據由研究人員透過一項問卷調查在梅爾辛省 (土耳其) 的五個中心縣取得。使用探索性因素分析，驗證性因素分析及結構方程模型來分析數據。

研究結果顯示，消費者的價格敏感度，廉價感，對昂貴的看法及對超級市場的正面情緒，均影響其購買意圖。此外，消費者的價格敏感度會影響其廉價感，唯其對昂貴的看法則不受影響。價格敏感度對負面情緒帶來影響，但正面情緒則不受影響。消費者對廉價的看法及對昂貴的看法均影響他們對超級市場的正面情緒。研究亦發現，廉價感及對昂貴的看法均影響消費者對超級市場的負面情緒。貢獻的發現是：廉價感於價格敏感度與購買意圖之間扮演部分仲介角色。

本研究對管理有其作用。研究結果幫助管理人員更了解消費者行為的改變，發展有效的定價策略，以及比其它零售公司更能發展競爭優勢。

本研究闡明消費者行為是可以利用一個理論構建來說明的，而這個理論構建是透過考慮價格水平感知及對超級市場的情感來探討消費者的價格敏感度對其購買意圖的影響。因此，本研究透過把「刺激 – 機制 – 反應」模型變成為一個理論構建來說明消費者的行為， 在這方面，本研究是有其貢獻的.