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Investors frequently make judgments and decisions in the presence of affect (i.e., mood or emotion). Investors' moods may influence the extent to which they incorporate available financial information in their investment judgments. I propose that investors interpret their moods as signals of the extent to which financial information should be processed to make investment judgments, but only when other, more direct signals regarding the need for in-depth processing are unavailable. Consistent with research in psychology, my experimental results suggest that investors experiencing positive mood exert less effort to process available financial information than investors experiencing negative mood. Consequently, positive mood results in lower-quality financial judgments in my setting. However, when investors receive cues suggesting that initially received information is subjective, the effect of mood on effort to process financial information is mitigated. Overall, my results suggest that factors associated with positive investor mood (e.g., positive market sentiment) reduce the depth of investor analysis and lower judgment quality absent signals regarding the subjectivity of financial information.

We offer a new perspective on group affective diversity by introducing the construct of mixed group mood, denoting co-occurring positive and negative mood states between different members of a group. Mixed group mood is characterized by four facets, namely members’ distribution between two positive and negative subgroups, subgroups’ average mood intensity, subgroups’ mood intensity heterogeneity, and individual members’ mood ambivalence. Building on information/decision-making and social categorization/similarity–attraction perspectives, we explore the performance consequences of mixed group mood along these four facets and we discuss implications and directions for future research.

Purpose – The aim of this study is to determine the impact of feeling bored on managers' decision-making in the digital age under conditions of increased uncertainty by examining the role of personality trait openness and empirically testing such relationships within the context of retail middle managers.

Design/methodology/approach – Feeling bored was defined within a broader Decision-Making Process Model, which included the personality trait openness. An empirical study with retail middle managers was conducted to examine the relationships between feeling bored and decision-making competence (DMC). Regression models were fit to test whether feeling bored affects DMC and whether the associations were moderated by personality trait openness.

Findings – In the relationship between feeling bored and DMC, the moderating role of the personality trait openness was established. Results showed that feeling bored has a significant negative association with middle managers' confidence levels and risk perceptions when making decisions. Results also provided evidence that the learning component of personality trait openness plays a moderating role in the relationship between feeling bored and DMC. Most notably, the learning component of personality trait openness neutralizes the negative effects of feeling bored on managers' ability to remain appropriately confident when making decisions. In addition, the learning and inquisitive components temper the positive association between mood excited and risk perceptions. Limitations to the study are outlined.

Practical implications – Since trait openness (specifically its learning component) benefits decision-making contexts, it makes trait openness a worthy criterion to include when screening aspirant retail middle managers. The benefits of trait openness (specifically its learning component) for middle managers and their teams (especially when they are feeling bored) are indicated, since learning neutralizes the negative effect feeling bored has on appropriate confidence levels in retail management decision-making contexts.

Historically, research in organizational behavior has denied and even denounced the presence and impact of emotions in the workplace. Today, after little more than 10 years of research on emotions in the workplace, organizational behavior scholars look to emotions as an important determinant of nearly every facet of workplace behavior. From interpersonal behavior, to team performance, and strategic decision-making in top management teams, researchers have argued that the role of emotions is fundamental to our understanding of these organizational processes. Research on emotions in the workplace has had a fast and furious growth, facilitated by a lack of critical reflection upon the limits of bounded emotionality as a framework for understanding individuals’ actions in organizations. It is undeniable that emotions influence some facets of organizational behavior. But the questions of interest in this chapter are, in which areas of organizational behavior do emotions play a critical role in the determination of individual and organizational outcomes and under what conditions?

Since its publication in 1996, Affective Events Theory (AET) has come to be regarded as the seminal explanation for structure, causes and consequences of affective experiences at work. AET does not, however, elucidate why, how, and when objects and events in the workplace trigger moods and emotions which in turn influence cognitive and behavioral outcomes. Consequently, AET does not yet provide us with a theoretical basis upon which to predict the way in which contextual, cognitive, motivational, or individual factors might moderate the impact of workplace events on affective states and subsequent behavior. In this chapter, we outline the central tenets of AET, and review a model of the processes underlying AET, with a view to understanding individual differences in the manifestation and consequences of affect in the workplace.

Purpose — In this chapter a case will be made for the importance of measuring well-being in transport mobility research. A number of well-being measures and determinants of well-being will be presented in reference to the current project. This chapter will then conclude with some practical recommendations for transport mobility researchers wishing to include well-being measures in their future studies.

Methodology — Measurement methods associated with previous transport mobility and well-being research will be critically examined so that strengths and limitations can be identified. The measurement approach to well-being adopted for the current project will be presented and associated challenges experienced by the research team will then be discussed.

Findings — A review of the extant transport mobility research which includes an assessment of well-being shows that it is not uncommon for unstandardised measures of well-being to be adopted. In addition, exploration of relationships between transport mobility and well-being are often undertaken without any consideration of potential moderating or mediating factors. More work is needed to advance our knowledge of the transport mobility and well-being relationship and the underlying mechanisms driving this relationship. Research also needs to focus on undertaking longitudinal studies which will enable causation to be established.

Proactivity is a type of goal-directed work behavior in which individuals actively take charge of situations to bring about future change in themselves or their organization. In this chapter, we draw on goal-regulation research to review conceptual and empirical evidence that elucidates some of the complex links of affective experience and employee proactivity. We identify the different ways in which affective experience influences different stages of proactivity, including employees’ efforts in setting a proactive goal (envisioning), preparing to implement their proactive goal (planning), implementing their proactive goal (enacting), and engaging in learning from their proactive goal process (reflecting). Overall, our review suggests an important, positive role of high-activated positive trait affectivity and moods in motivating proactivity across multiple goal stages, as compared to low-activated positive affectivity and moods. The role of negative affect is mixed, and likely depends on both its valence and the stage of proactivity that is being considered. We identify a lack of research on the role of discrete emotions for employee proactivity. We discuss future avenues for research, particularly the roles of intra- and inter-personal emotion regulation for proactivity and of affective embeddedness of proactive processes in the social environment of organizations.

This study aims to contribute novel insights into understanding and mitigating the harmful consequences of abusive supervision (AS) by examining the association between AS experiences, revenge, forgiveness, and the moderating role of emotional intelligence (EI). The key argument is that employees' EI can influence the AS experience through affective processes, countering supervisors' abusive behaviors.

A between-person scenario-based experiment was conducted with 366 participants divided into AS and control groups. The study explored the association between AS experience and revenge/forgiveness, mediated by core affect (valence and activation). EI abilities were measured as a moderator. Data analysis examined the relationships and interactions among AS, revenge/forgiveness, EI, and affective experiences.

The study reveals significant findings indicating that AS experiences were positively associated with revenge and negatively associated with forgiveness. The mediation analysis confirmed the role of core affect in these relationships. EI emerged as a moderator, shaping the association between AS experiences and revenge/forgiveness. Importantly, participants with higher EI exhibited lower revenge intentions, demonstrating the potential of EI to mitigate the adverse effects of AS. Unexpectedly, individuals with high EI also expressed fewer forgiveness intentions.

This study provides a comprehensive understanding of how employees can effectively counterbalance the impact of AS through higher levels of strategic EI. Examining core affect as a mediator offers novel insights into coping mechanisms in response to AS experiences and their consequences.

The study acknowledges several limitations, as the scenarios may only partially capture the complexities of real-life AS situations. The focus on a specific context and the sample characteristics limit the generalizability of the findings. Future research should explore diverse organizational contexts and employ longitudinal designs.

The findings have practical implications for organizations as enhancing employees' EI skills through training programs interventions and integrating EI into organizational culture and leadership conduct.

The most commonly described components of customer experience include cognitive and affective aspects. However, the subjective self-reported methods traditionally applied in tourism research cannot fully represent the instant, dynamic, and affective nature of customer experience. Therefore, there is a need for moment-based approaches and longitudinal methods in tourism research. The chapter provides a selective review of measures that can be used to assess the affective aspects of customer experience. Taking into account the advantages and limitations of each method, the integration of self-reported scales, moment-based psychophysiological techniques, and longitudinal methods should be considered as the best approach to measuring affective components of customer experience in tourism. This holistic interdisciplinary approach will help researchers and tourism practitioners understand the relationship between affective and cognitive components of tourists' pre-visit, onsite, and post-visit experience, as well as evaluate the effectiveness of marketing campaigns, identify weak points of tourists' customer journey, and maximize total travel experience.

The purpose of this research is to study the moderating role of the personality trait Discomfort With Ambiguity (DWA) on the processing of mixed emotions in advertising. Two experiments were conducted. In the first experiment, the emotions between the medium context and the embedded advertisement were mixed. In the second experiment, the emotions in an advertisement were mixed by manipulating emotions in the text and picture. Results indicate that DWA, being a proxy for how well people are able to deal with mixed emotions, has a moderating effect on advertising processing. Individuals having a high DWA appear to respond less positively to mixed emotions.