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As learning at the workplace is predominantly self-motivated, this study is aimed to identify and categorize the motivational drivers for working professionals to pursue self-directed learning (SDL) at the workplace.

A total of 23 variables were identified as drivers for working professionals to initiate, pursue and sustain self-directed learning at the workplace through literature review, interviews and focused group discussions with senior leaders from the industry. The participants were a mix of senior professionals responsible for leading large teams in their organizations and those appointed as people development leaders in their respective organizations. A questionnaire was developed based on the identified drivers and administered online. Around 315 working professionals were surveyed. Structural equation modelling and confirmatory factor analysis (CFA) methods were used to verify the scale and assess its validity and reliability.

The results suggested that SDL motivational drivers for working professionals can be categorized into two broad categories, namely extrinsic (14 drivers) and intrinsic (9 drivers). Further, extrinsic drivers were subdivided into three categories: job expectations (6 drivers), negative consequence (2 drivers) and positive reinforcement (6 drivers) based on the initial exploratory and subsequent confirmatory analysis. The results suggest that job expectations and positive reinforcement positively influence the intrinsic motivation of an individual to pursue SDL and negative consequences negatively impact the intrinsic motivation.

The findings from the study will be useful for human resource practitioners, managers and e-Learning companies to draw strategies for building an SDL culture. It also supports the advancement of research in adult education and learning in the workplace.

A new scale to measure motivation for SDL by employees at the workplace is proposed. There are no scales available to measure employee motivation for pursuing SDL at the workplace to the best of our knowledge.

The purpose of the proposed model is to assist the e-business to predict the churned users using machine learning. This paper aims to monitor the customer behavior and to perform decision-making accordingly.

The proposed model uses the 2-D convolutional neural network (CNN; a technique of deep learning). The proposed model is a layered architecture that comprises two different phases that are data load and preprocessing layer and 2-D CNN layer. In addition, the Apache Spark parallel and distributed framework is used to process the data in a parallel environment. Training data is captured from Kaggle by using Telco Customer Churn.

The proposed model is accurate and has an accuracy score of 0.963 out of 1. In addition, the training and validation loss is extremely less, which is 0.004. The confusion matric results show the true-positive values are 95% and the true-negative values are 94%. However, the false-negative is only 5% and the false-positive is only 6%, which is effective.

This paper highlights an inclusive description of preprocessing required for the CNN model. The data set is addressed more carefully for the successful customer churn prediction.

Early clinical accounts of psychopathy suggest important relationships between alcohol use and psychopathic traits that lead to fantastic and uninviting behavior. In particular, alcohol was thought to facilitate antisocial behavior, including violence, among psychopathic individuals. The purpose of this paper is to report a review of studies that concurrently examine psychopathy and alcohol in relation to violent behavior.

The authors searched electronic databases (PsycInfo, PUBMED) for all published studies between January 1960 and October 2016 that included the combination of alcohol and psychopathy, antisocial personality and violence, aggression.

The evidence converges to indicate that, in college and community samples, self-reported antisocial lifestyle traits interact with alcohol use to predict violence beyond that accounted for by either construct. However, in correctional and clinical samples, there is no evidence that the use of alcohol increases violence for individuals high in clinically measured antisocial lifestyle traits.

This is the first review of the empirical literature on relationships among psychopathy, alcohol, and violence. The authors provide recommendations for future research designed to fill gaps in the literature and lead to a greater understanding of the interplay among these variables.

The evaluation of emotional management in police environments has impacts on their health and on their interventions (Monier, 2014; Van Hoorebeke, 2003). There are significant costs related to occupational diseases in the police force: absenteeism, turnover, deterioration of the work climate (Al Ali et al., 2012). Considering that policing involves a high level of emotional control and management (Monier, 2014; Al Ali et al., 2012; Dar, 2011) and that no study has yet examined the relationship between police officers’ emotional competencies and their psychological health at work (PHW), the purpose of this paper is to explore the relationship and influence of emotional self-efficacy (ESE) on PHW in policing.

PHW results from psychological distress at work (PDW) (irritability, anxiety, disengagement) and psychological well-being at work (PWBW) (social harmony, serenity and commitment at work) (Gilbert et al., 2011). ESE is defined as the individual’s belief in his or her own emotional skills and effectiveness in producing desired results (Bandura, 1997), conceptualized through seven emotional skills: the use of emotions; the perception of one’s own emotions and that of others; the understanding of one’s emotions and that of others; and the management of one’s emotions and that of others (Deschênes et al., 2016). A correlational estimate was used with a sample of 990 employed police officers, 26 percent of whom were under 34 years of age and 74 percent over 35. The ESE scales (a=0.97) of Deschênes et al. (2018) and Gilbert et al. (2011) on PWBW (a=0.91) and PDW (a=0.94) are used to measure the concepts under study.

The results of the regression analyses confirm links between police officers’ emotional skills and PHW. The results show that self-efficacy in managing emotions, self-efficacy in managing emotions that others feel, self-efficacy in using emotions and self-efficacy in understanding emotions partially explain PWBW (R²=0.30, p<0.001). On the other hand, self-efficacy in perceiving the emotions that others feel, self-efficacy in using emotions and self-efficacy in managing emotions partially explain PDW (R²=0.30, p<0.001).

This study provided an understanding of the correlation between police officers’ feelings of ESE and their PHW, particularly with PWBW. Beyond the innovation and theoretical contribution of such a study on the police environment, the results reveal the scope of the consideration of emotional skills in this profession.

Purpose – This chapter is an exploration of how the Canadian media characterize the entire population of Canadian school shootings over a 25-year time period.

Methodology/approach – This chapter uses frame analysis to examine how the media characterize and frame Canadian school shootings within The Globe and Mail, a Canadian national newspaper.

Findings – This chapter demonstrates that the Canadian media utilize a small number of frames consistently over the 25-year period of analysis. Instead of changing their frame use within events over time, Canadian school shootings receive their own “frame emphasis,” reflecting the unique characteristics of each particular shooting. Additionally, the media utilize “exemplars,” or references to past North American school shootings, that serve as rhetorical anchors for future discussion of shooting events as they occur.

Research limitations/implications – As only one Canadian newspaper was utilized, this chapter may not be reflective of all Canadian news media.

Social implications – This chapter demonstrates the need to explore entire populations of school shootings in order to understand media frame use within and across events over time. It also demonstrates the need for international comparisons of school shootings, as the media utilize international exemplars to demonstrate links between school shooting events.

Originality/value of chapter – This chapter is unique in that it examines the entire population of Canadian school shootings to date (n=27), and it is the first to undertake a frame analysis of exclusively Canadian shootings.