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We integrate trait, individual differences and substitutes for leadership theories to examine how leader trait anger influences leader vision and follower trust in the leader across high versus low levels of organizational formalization.

We obtained data from two independent multi-source samples from different occupations and countries. Sample 1: leader–follower dyads (n = 179) collected over three measurement periods from the Philippines; Sample 2: cross-correlational sample of leaders (n = 166), their manager (n = 166) and their followers (n = 610) from Australia.

We tested our hypotheses using PROCESS (Hayes, 2018) and found that leader trait anger influenced follower trust in the leader both directly and indirectly through leader vision (Samples 1 & 2). We also found that organizational formalization neutralized the effect of leader vision on follower trust in the leader (Sample 2).

While we used a time-lagged design in Sample 1, we cannot make strong causal claims as might be the case in an experimental study, for example.

Our results highlight the adverse effect of leader trait anger on perceptions of leader vision and follower trust in the leader, which we suggest should be considered in recruitment and promotion decisions. Our findings also suggest that high levels of organizational formalization may undermine the motivational effect of leader vision on followers, which should be considered in relation to organizational rules and procedures.

This research enhances our understanding of a previously unexplored boundary condition (i.e. organizational formalization) that appears to neutralize the motivational effect of leader vision. In addition, it highlights the ubiquitous effect of trait anger, in this case undermining the effectiveness of leader vision and trust in the leader, from two different observer perspectives (i.e. leaders’ followers and managers).

Purpose: Social rejection is a negative interpersonal experience that leads to emotional, cognitive, and physiological outcomes. We develop a theoretical model arguing that social rejection in workplace settings can alter employees' personal values in either the short- or the long term. Methodology: This is a theoretical essay based on three theories: (1) human values; (2) affective events; and (3) shattered assumptions. Findings: In the proposed model, an employee's emotional reactions to social rejection in the workplace (emotional distress or emotional numbness) partially mediate the relationship between the experience of social rejection and short- or long-term development of self-protective (rather than self-expansive) personal values. Originality: The processes whereby social rejection at work leads to personal value change remain largely unexplored to date. The proposed model represents an initial attempt to understand this process, including the effects of emotional distress (long term) and emotional numbness (short term). Research Implications: The model introduces the mechanisms whereby social rejection in the workplace leads to short-term and long-term changes in individual values and has potential to serve as a launchpad for future research interest in this phenomenon. Practical Implications: The framework proposed in this chapter should help scholars to understand better the dynamics of social rejection in the workplace and how this phenomenon affects employees' values in work settings, both in the short- and long term.

Purpose: This introduction sets the stage for the book theme, “Emotions and Negativity,” by reviewing the early work on negative emotions and by discussing the impact of the COVID pandemic on people’s moods and emotions. It discusses how most of the chapters in this book were first presented as conference papers at the Twelfth International Conference on Emotions and Worklife (“Emonet XII”). It then highlights the key contributions from each of the chapters. Study Design/Methodology/Approach: This gives an overview of the organizational structure of the book and explains the four major parts of the book. It then relates each chapter to the theme of each part and discusses the key contributions of each chapter. Findings: The introduction concludes by observing that the chapters offer a variety of practical solutions to negative emotions that should be of use to both practitioners and academicians. Originality/Value: The chapters investigate underresearched topics, and thus make original and important new contributions. Although underresearched, the topics they explore have a major impact on people’s lives. Thus, these chapters add considerable value to the field.

Business analytics (BA) is a new frontier of technology development and has enormous potential for value creation. Information systems research shows ample evidence of its positive business impacts and organizational performance. However, there is limited understanding of how decision-makers or users of BA outcomes actually engage with data analysts in the process of data-driven insight generation and how they improve their understanding of business environments using BA outcomes. To aid this engagement and understanding, this study investigates the interaction between decision-makers and data analysts when they attempt to uncover data capacities and business needs and acquire business insights from BA tools.

This study employs an interpretive field study with thematic analysis. The authors conducted interviews with 31 participants who all relied on BA in their daily decisions. The study participants were engaged in different BA roles, including data analysts and decision-makers. They validated the applicability and usefulness of our findings through a focus group with eight practitioners, including decision-makers and data analysts from the same companies.

This study proposes a process model of data-driven sensemaking and sensegiving based on Weick’s sensemaking framework. The findings exhibit that decision-makers are engaged in sensemaking by identifying areas of focus, determining BA scope, evaluating generated insights and turning BA into action. The findings also show that data analysts engage in sensemaking by consolidating data, data understanding, preparing preliminary outcomes and generating actionable reports. This study shows how sensemaking processes and sensegiving activities work together over time through immediate enactment, selection and decision cycles.

This study is a first attempt to understand interactions in the context of BA using the perspective of sensemaking and sensegiving.