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This chapter introduces a new theoretical framework for developing emotion-related abilities according to the emotional intelligence (EI) construct definition of Mayer, Salovey, and Caruso (2006). The awareness, reflection, and management (ARM) model has been devised and demonstrates a triadic cycle of emotional ARM relating to affect, cognition, and behavior. The ARM model constitutes an approach to nurture emotion-related abilities (ability EI) and responds to criticism raised by Zeidner, Matthews, and Roberts (2009). The ARM Theory was corroborated by both learning theory and schools of counselling (SOC). The potential to develop emotion-related abilities in emotional awareness, reflection and reasoning, coping and management is discussed.

This chapter examines EI, presents a history of EI including the various models, and a discussion of the three streams approach to classifying EI literature. The author advocates for the efficacy of the Stream One Ability Model (SOAM) of EI citing previous authors and literature. The commonly used SOAM instruments are discussed in light of recent studies. The discussion turns to alternate tests of the SOAM of EI including Situational Judgment Tests (SJTs). Recommendations include an analysis of SOAM instruments, a new approach to measurement, and increased use of SJTs to capture the four-branch ability model of EI.

This chapter examines how emotional intelligence may influence the performance of groups. I first address relevant issues concerning emotional intelligence at the individual level of analysis. I then describe the range of composition models by which group emotional intelligence constructs can be created, from the emotional intelligence of the members of the group, articulate mechanisms by which each construct may be related to performance, and use Steiner's (1972) typology of group tasks to identify when each construct may best predict performance. I also use the mechanisms of multiplication and compensation to consider how group emotional intelligence may combine with other group constructs to predict performance. I end this chapter with a discussion of research implications.

Many organizational problems are poorly defined, emotionally laden, and ambiguous. These types of problems rarely have one right answer and the criteria for evaluating the appropriateness of solutions is likely to be context dependent. Further, although cognitive skills are important to effective problem solving, the nature of these problems may also require emotional skills as well. This chapter presents a study which set out to determine whether emotional intelligence as an ability contributes above and beyond cognitive intelligence to the quantity, flexibility, and quality of solutions generated to ill-structured problems. Although support was not found for the notion that emotional intelligence explains the indices of solution generation beyond that of cognitive intelligence, the findings did show that emotional intelligence was a significant predictor of one of the solution metrics, namely the average resolving power of solutions across the two problems. The findings demonstrate that emotional intelligence and cognitive intelligence are separate constructs and suggest that caution be used in proposing the pervasive effects of emotional intelligence. In particular, the results of this study suggest that emotional intelligence may not equally influence all activities, highlighting the need to investigate which steps of the problem-solving process it does indeed impact.

The importance of humans to the successful delivery of construction projects has led to the emergence of research attention on construction workforce management. As such, this chapter uncovers emotional intelligence (EI) and the external environment as critical aspects of workforce management practices that have not gained substantial attention in past workforce management studies. While some theories and models (existing outside the construction domain) have considered the external environment, none of these models is specific to the construction industry. Furthermore, EI has received less attention within existing workforce management models. Through a review of related studies and theories, this chapter noted that the EI of construction workers and their senior management is crucial to the performance of these workers and the ultimate performance of their organisations. In the same vein, since construction organisations do not operate in silos, the external environment significantly influences the operations of organisations in the construction industry. The environment exact pressures that can influence workforce management practices and technological innovations construction organisations adopt.

We review the literature on stress in organizational settings and, based on a model of job insecurity and emotional intelligence by Jordan, Ashkanasy and Härtel (2002), present a new model where affective responses associated with stress mediate the impact of workplace stressors on individual and organizational performance outcomes. Consistent with Jordan et al., emotional intelligence is a key moderating variable. In our model, however, the components of emotional intelligence are incorporated into the process of stress appraisal and coping. The chapter concludes with a discussion of the implications of these theoretical developments for understanding emotional and behavioral responses to workplace.

Despite ongoing controversy, emotional intelligence is emerging as a potentially important variable in furthering our understanding of individual behavior in organizations. In this respect, however, most of the research in relation to emotional intelligence has been at the individual level of behavior. In this chapter, we develop a framework for considering the impact of emotional intelligence at the organizational level. Specifically, we map Mayer and Salovey's four emotional intelligence abilities onto Shein's three-level organizational culture schema. We conclude with a discussion of implications for managers and suggest that the model we propose may prove to be a useful starting point for future research into emotional intelligence as an organizational phenomenon.

The processes that underlie ability emotional intelligence (EI) are barely understood, despite decades of management research. Furthermore, the outcomes of these processes have been narrowly and prescriptively defined. To address this deficiency, I conducted a phenomenological study (n = 26). Findings from a public sector sample suggest that the underlying emotional processes of meaningful life events are – at least for now – better defined through the construct of emotion regulation. While it is part of the ability EI model, the emotional processing that occurs prior to emotion regulation being initiated is likely to be less consistent with current EI theory. Likewise, these processes lead to outcomes considerably more nuanced than currently appreciated in the EI literature. Consequently, what started as a gap-filling approach to research eventually turned into a problematization of what scholars seem to know about EI. I outline the theoretical and practical implications of this study for management, and offer suggestions for future research.

It is seen that emotional intelligence, which is the subject of research in many disciplines, especially psychology and social sciences, is one of the prominent concepts. Emotional intelligence has become a sought-after feature especially for today's leaders. It is possible to say that emotional intelligence is an important feature for leaders in the energy sector as well as for leaders in other fields. This study aims to determine how and to what extent emotional intelligence has an effect on leadership characteristics in today's conditions where the need for leadership is increasing. In this study, it is aimed to reveal the effects of emotional intelligence levels of managers in the energy sector on leadership. For this purpose, hypotheses have been developed, and a research has been conducted on managerial employees in an enterprise operating in the energy sector in order to test the hypotheses. In the study, the effects of emotional intelligence dimensions such as optimism, use of emotions, and evaluation of emotions on leadership were measured by analyzing the data obtained as a result of the questionnaire application. SPSS package program was used for statistical analysis of the data. According to the results of the research, it was determined that effective leadership increased as optimism/mood regulation increased. Similarly, as the evaluation of emotions increased, effective leadership increased.

Typical organizations comprise members whose behaviors range from the minimum possible to maintain membership, to those discretionarily engaging in job-related behaviors above that expected or required. These discretionary behaviors are beyond the job description and often are not recognized by the formal reward system. Possibly, individuals with high emotional intelligence are more prone to engage in discretionary behaviors. The relationship between the dimensions of emotional intelligence and discretionary citizenship behaviors has not previously been explored. Using samples of nursing and business university professors, this study investigates the relationship between discretionary behaviors of educators and the four branch model of emotional intelligence. Discretionary behaviors comprised a set of traditional organizational citizenship dimensions, and those behaviors beyond the expected unique to higher education. Salovey and Mayer's four branch model was used to assess emotional intelligence. Data were analyzed with correlation analysis and multiple regressions. The regression results indicate that managing emotion (the ability to manage one's emotions and emotional relationships) had the greatest number of significant positive relationships with discretionary behaviors in both samples. Perceiving emotions and understanding emotions produced negative relationships with sportsmanship in the nursing sample. The nursing sample produced more relationships between emotional intelligence and discretionary behaviors than the business faculty sample. Overall results support the idea that emotional intelligence is linked to discretionary citizenship behavior. The study results provide evidence to support the organizational value of emotional intelligence. Also, the results provide ideas for fruitful further research which may hold promise for increasing organizational effectiveness and efficiency.