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Theory suggests that affective commitment and organizational citizenship behavior are positively correlated. Previous studies, however, report weak relationships between affective commitment and organizational citizenship behavior. The present study provides an interactive perspective in which we propose that emotional intelligence moderates the relationship between affective commitment and Organizational Citizenship Behaviors (OCBs) – altruism and compliance. We found significant interaction between emotional intelligence and affective commitment in predicting altruistic behavior. In other words, the positive relationship between affective commitment and OCB-altruism was stronger for high emotional intelligence individuals. Our prediction for compliance behavior was not supported.

The workforce management model conceptualised for the effective management of the construction workforce was subjected to expert scrutiny to determine the suitability and applicability of the identified practices and their attributed variables to the construction industry. In achieving this, a Delphi approach was adopted using experts from construction organisations in South Africa. These experts comprised workforce management personnel and construction professionals in senior management positions. The data were analysed using appropriate statistical tools such as interquartile deviation, Kendell’s coefficient of concordance, and chi square to determine consensus among these experts. After a two-round Delphi, the seven constructs proposed in the conceptualised workforce management model were adjudged to be important and worthy of adoption by construction organisations seeking to improve workforce management in the current fourth industrial revolution era.

Recently scholars have been interested in examining social intelligence, emotional intelligence, and cultural intelligence, but none have examined all these in a comparative study of cultures. Here an empirical examination is conducted of a high-context culture, India, versus a low-context culture, the United States. Linear regression was conducted and findings indicate that the hypothesized relationships, that high-context cultures will have a higher social, emotional, and cultural intelligence, are not supported. In fact, social intelligence was found to be higher in the U.S. sample. Managerial implications and avenues for future research are presented.

The purpose of the present chapter was to synthesize the research that directly compares children with and without reading disabilities on measures of working memory (WM). Working memory has considered at key element children success on reading performance and, therefore, the published literature was assessed. Twenty-eight (28) studies were included in the synthesis, which involved 207 effect sizes. The overall mean effect size estimate in favor of children without reading disabilities (RD) was –0.89 (SE=0.08). Effect sizes were submitted to a hierarchical linear modeling. Results indicated that children with RD were distinctively disadvantaged compared with average readers when memory manipulations required a transformation of information. Age, IQ, reading level, and domain specificity (verbal vs. visual/spatial measures) were not significant predictors of effect size estimates. The findings indicated that domain general WM differences persisted across age, and these differences operated independent of effect size differences in reading and IQ.

This chapter gives the conclusion of the book. The chapter draws from the discussion from previous chapters to make logical conclusions and recommendations. The chapter concludes that construction industries are failing to imbibe workforce management practices, resulting in high employee turnover, dissatisfaction among existing workers and ultimately, low productivity of workers and organisations. It was also noted that the fourth industrial revolution offers emerging technologies that, when adopted within construction organisations, can help improve how organisations deliver their projects and manage their workers. Therefore, implementing a construction workforce management model that recognises the impact of digital tools is crucial for organisations seeking to get the optimum productivity out of their workers. Thus, this book’s conceptualised construction workforce management model can be a valuable tool for construction organisations. Also, more credibility is given to the model’s structure by exploring the conceptualised model through experts’ opinions.

This study seeks to examine how follower’s emotional intelligence influences their emotional reactions to leadership.

Data were collected at two points in time. First, I assessed the emotional intelligence of 157 participants in a laboratory setting. Then, a few weeks later, an experiment manipulating leadership behavior was conducted with same participants. After viewing the leader, the participants’ emotional reactions to their attributions of the leader’s behavior were assessed.

In line with expectations, emotional intelligence was associated with different emotional responses to attributions for the leader’s behavior. Specifically, participants lower on emotional intelligence had more extreme emotional responses to the leader than their more highly emotionally intelligent counterparts.

Although emotional intelligence has received a lot of scholarly attention with regard to predicting performance and leadership emergence, we need to learn more about how it influences emotional responses at work.

If emotional intelligence helps promote less extreme emotional reactions at work, emotional skills should be developed in employees.

This study is the first to examine emotional intelligence as a moderator of emotional reactions to attributions of leadership charisma and intent.

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.

In this chapter, we extend existing models of individual and collective emotional intelligence to the organizational level and provide an empirical study on the performance impact of organizational emotional intelligence. We propose that organizational emotional intelligence is composed of the average level of individual emotional intelligence of organization members and the collectively shared emotionally intelligent norms, values, and behaviors that shape their interaction. Across 156 organizations, we demonstrate sufficient within-organization consistency and between-organization difference to consider emotional intelligence a collective organizational characteristic. In addition, we show that the level of organizational emotional intelligence is positively associated with operational performance, financial performance, and innovation performance, and negatively associated with involuntary absence. Thus, organizational emotional intelligence can be considered a valuable asset for organizations.

Structural Equating Modeling (SEM) is a formal model for representing dependency relations between variables of psychological events and may be used for verifying the structural organization of a theoretical model. “Rules of thumb” for the use of SEM are presented regarding each step of its application: specification of the structural model, measurement of the psychological event, and estimation of the adequacy of the model in representing the event. The investigation of the factorial structure of Greenspan's model of personal competence is presented as an example of SEM application with participants with disabilities.

To date, research focus has been on overt forms of abusive supervision, like aggressive behavior and physical violence. Less clear is the effect of implicit abusive supervisory behaviors such as gaslighting, a form of psychological manipulation whereby a “gaslighter” seeks to confuse, disorientate, and cast doubt in the mind of a victim. In this study, we aim to examine the effects of supervisory gaslighting on employee's affective organizational commitment (AOC). We also investigate the mediating role of leader-member exchange (LMX) on this relationship and whether employee emotional intelligence (EI) buffers the negative effects of supervisory abuse.

Two hundred and sixty-six participants were allocated to one of three conditions (high, medium, and none) where they read workplace scenarios varying in the level of supervisory gaslighting. Afterward, participants responded to AOC, LMX, and EI scales.

Results showed supervisory gaslighting decreases employee AOC and that this relationship is partly explained by the employee's relationship with their supervisor. Contrary to expectations, higher employee EI strengthened the effect of gaslighting on AOC.

Supervisory gaslighting remains largely unexplored and this chapter contributes to this topic by testing a model to understand the effects of gaslighting on AOC. These findings provide a solid foundation for further research in this area.