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To explore the feasibility of utilizing the Bar-On mixed model of emotional–social intelligence as a framework for the competencies and traits needed for reference and information services librarians. Through a survey of the literature, the author created a baseline list of competencies, which was compared and contrasted with the abilities, traits, and competencies that comprise the Bar-On model of emotional–social intelligence. The author conducted a pilot study with a small group (n = 10) of reference and user services librarians who took the EQ-i 2.0. The competencies and traits of reference and user services librarians identified in the literature compare favorably with those measured by the EQ-i 2.0. Overall, a majority of the participants (70%) obtained a total score on the EQ-i 2.0 in the mid or high range. Composite scales with the highest overall mean scores were decision-making and self-perception. Subscales with the highest scores included the following: impulse control, self-actualization, social responsibility, problem solving, and reality testing. As a pilot study, it was conducted using a small population of academic reference and user services librarians. Further research should be conducted utilizing a larger population of reference and user services librarians or librarians who have been recognized as exemplary in reference librarianship. The findings of this study could assist pre-service and in-service reference and user services librarians in further developing their emotional–social intelligence competencies and abilities by identifying areas where improvements could occur.

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.

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.

Emotionally intelligent leadership (EIL) theory combines relevant models, theories, and research in the areas of emotional intelligence (EI) and leadership. With an intentional focus on context, self and others, emotionally intelligent leaders facilitate the attainment of desired outcomes. The 21 capacities described by the theory equip individuals with the knowledge, skills, abilities, and other characteristics to achieve desired results. The purpose of this article is to propose an integrative, process-oriented EIL theory to provide a framework for conceptualizing and integrating future research and practice. The authors review and organize research and theory in emotional intelligence and leadership within the context of higher education, introduce the EIL model, and provide suggestions for future research. The article concludes with practical implications for leadership development in the context of higher education.

This descriptive-correlational study used a census of Ohio State University Extension county directors and a random sample of county staff throughout the State of Ohio. Data were collected utilizing Bar-On’s Emotional Intelligence Quotient instrument (county directors) and Warner’s job satisfaction instrument (county staff).

The study examined the relationships between emotional intelligence of county directors, job satisfaction of county staff and several demographic characteristics. Stepwise linear regression analysis was used to measure the proportion of variance in county staff’s job satisfaction that could be explained by county directors’ emotional intelligence and demographic characteristics.

The findings suggested there is not a significant relationship between emotional intelligence of unit directors and job satisfaction of staff. The researchers concluded the level of job satisfaction of staff was not influenced by the level of emotional intelligence of unit directors. Some correlations existed between job satisfaction and selected demographic characteristics. These findings may be of interest to individuals who serve in a variety of leadership roles within organizations.

This article provides a review and conceptual comparison between self‐report and performance‐based measures of emotional intelligence. Analyses of reliability, psychometric properties, and various forms of validity lead to the conclusion that self‐report techniques measure a dispositional construct, that may have some predictive validity, but which is highly correlated with personality and independent of intelligence. Although seemingly more valid, performance‐based measures have certain limitations, especially when scored with reference to consensual norms, which leads to problems of skew and restriction of range. Scaling procedures may partially ameliorate these scoring weaknesses. Alternative approaches to scoring, such as expert judgement, also suffer problems since the nature of the requisite expertise is unclear. Use of experimental paradigms for studying individual differences in information‐processing may, however, inform expertise. Other difficulties for performance‐based measures include limited predictive and operational validity, restricting practical utility in organizational settings. Further research appears necessary before tests of E1 are suitable for making real‐life decisions about individuals.

In 1990, Salovey and Mayer presented a framework for emotional intelligence (EI). This marked the beginning of 20 years of academic research, development, and debate on the subject of EI. A significant amount of previous research has attempted to draw out the relationship between EI and leadership performance. EI has been a uniquely controversial area of the social sciences. EI is based on three simple yet fundamental premises. This manuscript reviews the definitions and models in the field of EI with special emphasis on the Mayer ability model and the connection between EI and leadership. The paper aims to discuss these issues.

This paper takes the form of a literature review.

EI appears to have a foothold in both our popular vernacular and our academic lexicon. However, it is not entirely clear what future form it will take.

This manuscript explores the current relationship between EI and leadership, discusses the various instruments and scales used to measure the construct, and examines the controversy and criticism surrounding EI. Finally, it illuminates some areas for additional research.

This paper aims to demonstrate the utility of using some indication of emotional intelligence (EI) to identify high potential in managers. Presupposed correspondences between the EI Personal Factors Model (Bar‐On) and Briscoe and Hall's metacompetency model of continuous learning are elucidated.

The study sample consisted of 51 high potentials and 51 “regular” managers, matched onto one another by managerial level, gender and age. All participants completed an online survey containing Bar‐On's Emotional Quotient Inventory, Blau's career commitment scale and a self‐anchored performance item.

EQ‐i subscales: assertiveness, independence, optimism, flexibility and social responsibility appear to be “covert” high‐potential identification criteria, separating between high potentials and regular managers. Furthermore, high potentials display higher levels of job performance and, supposedly, less boundaryless career attitudes.

Using emotional intelligence – or at least some of its subscales – in identifying high potential may well contribute to the validity of such processes. Furthermore, the importance of cultivating positive emotions at work is spelled out in relation to high‐potential identification and development policies and retention management.

In the majority of studies on high potentials, direct supervisors serve as research samples or a non‐empirical, rather normative approach is taken to the matter. The empirical study presented in this paper is rather unique since it departs from the viewpoints of high‐potential individuals, thus delivering added value to the study domain.

The study investigated the relationships of the five dimensions of emotional intelligence: self‐awareness, self‐regulation, motivation, empathy, and social skills of supervisors to subordinates' strategies of handling conflict: problem solving and bargaining. Data (N = 1,395) for this study were collected with questionnaires from MBA students in seven countries (U.S., Greece, China, Bangladesh, Hong Kong and Macau, South Africa, and Portugal). Psychometric properties of the measures were tested and improved with exploratory and confirmatory factor analysis and analysis of indicator and internal consistency reliabilities, and the hypotheses were tested with a structural equations model for each country. Results in the U.S. and in the combined sample provided support for the model which suggests that self‐awareness is positively associated with self‐regulation, empathy, and social skills; self regulation is positively associated with empathy and social skills; empathy and social skills are positively associated with motivation; which in turn, is positively associated with problem solving strategy and negatively associated with bargaining strategy. Differences among countries in these relationships are noted and implications for organizations discussed.

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.