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The purpose of this paper is to critique contemporary tools for assessing and managing the risk of police misconduct and suggest directions for their improvement.

The paper draws on extant literature, synthesizing several lines of inquiry to summarize what the authors know about patterns of police misconduct, and what the authors know about assessing and managing police misconduct. Then the paper draws from the literature on offender risk assessment in criminal justice to draw lessons for assessing and managing the risk of police misconduct.

The authors found that there is good reason to believe that the tools used to assess the risk of misconduct make suboptimal predictions about officer performance because they rely on limited information of dubious value, but also that the predictive models on which the tools are based could be improved by better emulating procedures for assessing offenders’ risk of recidivism.

Future research should examine cross-sectional and longitudinal patterns of misconduct and associations between risk-related outputs and enforcement activity, develop better measures of criterion variables, and evaluate the predictive accuracy of risk assessment tools.

Police managers should make better use of the information available to them, improve the quantity and quality of information if feasible, and cooperate in the necessary research.

This paper offers a new synthesis of extant research to demonstrate the limitations of contemporary provisions for assessing the risk of police misconduct, and potential avenues for useful research and improved practice.

Researchers have undertaken many approaches to conceptualizing and assessing EI. Some approaches combine self-reported EI with broader personality constructs. Other approaches are based on so-called ability measures of EI, whether as tendencies people can self-report (Tett, Fox, & Wang, 2005) or as assessments developed to measure specific components of EI (e.g., Nowicki & Duke, 1994). We briefly survey the literature to arrive at a working understanding of what EI is currently thought to be (for more extensive reviews, see Mayer, Roberts, & Barsade, 2008; Zeidner, Matthews, Roberts, 2009).

This research paper aims to follow a line of research that examines the impact of elements of emotional intelligence (EI), particularly those related to self‐awareness, on self‐other agreement and performance.

This is a quantitative study that employs the same methodology as Sosik and Megerian to analyze survey data gathered from a matched sample of 146 managers and 1,314 subordinates at a large international technology company based in North America.

The analysis revealed that the relationship between EI and leader performance is strongest for managers who underestimate their leader abilities. Underestimators earn higher follower ratings of leader performance than all other agreement categories (In agreement/good, In agreement/poor, and Overestimators). The analysis also suggests that there appears to be a negative relationship between EI and leader performance for managers who overestimate their leader abilities.

Implications of the counterintuitive findings for underestimators as well as the imperative for further study utilizing alternative measures of EI are discussed.

Previous empirical work in this area used an ad hoc measure of EI. This study extends this work by utilizing a larger, business sample and employing a widely‐used and validated measure of EI, the Emotional Quotient Inventory. Results further illuminate the nature of the relationship between EI and self‐other agreement and provide a potential selection and development tool for the improvement of leadership performance.

The purpose of this paper is to examine the possibility of developing emotional intelligence (EI) as conceptualized in Boyatzis et al.'s competency model.

Designing a context‐based EI training program, the study utilized a sample of 68 fully‐employed members of five branches of a public bank in Iran; each branch underwent an eight‐week (each session 120 minutes) EI training program. Pre‐ and post‐tests were conducted to assess EI development using emotional competence inventory (ECI‐2), a 360‐degree measurement tool.

Only one EI cluster out of four improved significantly and only some of the specific dimensions showed this significant improvement, while others did not have a clear change and even some self assessments deteriorated.

Lack of a control group, small sample size, and short training program are the main limitations of this study.

Detailed explanation of the method could be a guide for service organizations that wish to improve EI.

Because of the lack of empirical studies in this field of research, the paper reports the results of a pre‐/post study on EI training and development and sets out to add to this narrow literature.

The criticisms put forward against economic impact studies lead to a key question: “Is it possible to measure the impact of sporting properties and events in a holistic, conservative, and reliable way?” This research endeavors to build on the academic literature to add to the scope and rigor of economic impact research by proposing an impact assessment process model for practitioners that facilitates employment of a holistic, conservative and reliable impact study and seeks to address these concerns.

Using seven identified key realities that highlight the challenges facing impact studies, and adopting a collaborative self-ethnographic methodological approach, the work highlights lessons learned from four empirical economic impact studies undertaken by the authors over a five-year period.

The study provides a broad view of impact studies, which extend beyond financial implications and provides a more inclusive methodology. Particularly, the proposed impact assessment process model seeks to improve the credibility of impact studies by facilitating a holistic approach that incorporates direct, indirect and intangible impacts.

The proposed model has value to researchers and is designed to improve the overall credibility of economic impact methodology. It also provides a more accurate measure of direct impact while considering intangible and indirect impacts, including social/community impacts.

The proposed model has value to and practitioners and is designed to improve the overall credibility of economic impact methodology. It also provides a more accurate measure of direct impact while considering intangible and indirect impacts, including social/community impacts.

The proposed process model to measure the impact of a sports event is a needed element in the world of funding, managing and implementing events of all sizes.

The purpose of this study is to assess the training needs on emotional intelligence (EI) of librarians serving in the university libraries of Pakistan.

A structured questionnaire was used to gather data from a randomly selected sample of Pakistani university librarians. A paired sample t-test was used to examine the significance of difference between the four indicators of EI. Further, descriptive statistics were used to assess the training needs on EI.

The difference between all indicators of EI was found to be significant. The results showed less than 50 per cent of deficit, more than 50 per cent of surplus and 20 per cent of job best fit in terms of EI of university librarians. Further, results illustrated that librarians require training to cover the skill deficiencies. Similarly, top-down allocation of tasks is required to produce more person-job fit and control surplus or over utilisation of the skills.

Findings of this study have several implications for university librarians, such as designing of training programs, incorporation of EI in the performance evaluation to investigate the causes of deficit and surplus in EI, etc.

This study is a first attempt that extended the scope of EI towards librarianship in Pakistan. The findings probably motivate university librarians to improve the current level of their EI.

The paper discusses the assessment of enterprise information systems (EIS) success in an organizational context is one area that is not sufficiently researched. This lack of theoretical attention prompted the authors to measure EIS success in the organizational setting of Jordanian listed firms.

Based on the DeLone and McLean success model and by adopting a quantitative approach, survey data were collected through questionnaires. The established questionnaires were distributed to 250 senior IT executives who use EIS and a total of 134 valid questionnaires were empirically tested via the Smart-PLS technique.

The investigation findings indicate that information and system quality had a positive impact on user satisfaction and individual impact. User satisfaction had a positive influence on individual impact, both of which eventually lead to organizational impact. The results also showed that the model used has adequate convergent and discriminant validities, as well as sufficient reliability.

The outcomes can help managers and practitioners more effectively understand the factors influencing EIS success among Jordanian listed firms.

This research paper is the very first in assessing EIS success from an organizational perspective in developing country such as Jordan.

The purpose of this paper is to examine the influence of the emotional intelligence (EI) of the person in charge of making human resource management (HRM) decisions on the adoption of high-performance human resource (HR) practices in small- and medium-sized enterprises (SMEs).

This study takes evidences from 157 HR decision makers in SMEs who autonomously make the decisions in the HR area and were responsible for the HR practices in their firm. The authors used multiple linear regression analysis to test the hypotheses.

Results show that both the EI and the different EI competencies of which it is comprised affect the adoption of various HR practices. Thus, the main theoretical contribution of this work stems from the incorporation of a psychological variable (EI) as an antecedent of HRM. Managers of the SME will find guidance about which emotional competencies are the most important for them to be more successful in their roles and for improving HRM.

First, the sample of firms the authors studied is limited to a specific geographic area in one country – Spain (Canary Islands) – that will necessarily limit generalisation of the results obtained to other populations of SMEs. Researchers should replicate the current model in other geographic areas. Second, and with regard the methodology, researchers could explore other tools to measure EI and emotional competencies. It would be interesting to measure this construct using qualitative analytical techniques, with 360 – or 180 – degree tools. Finally, the current study is cross-sectional in nature, which limits our ability to draw causal inferences from the data. This cross-sectional design prevents us, for example, from analysing EI’s influence on the continued development of high-performance HR practices over time. Future research using longitudinal methodologies to study these variables could provide additional advances in this area. This work makes important contributions to both the literature and the business world. With regard to the theoretical implications, results confirm that EI as a whole, as well as in terms of its specific emotional competencies, affects the decision making related to the adoption of high-performance HR practices, which is known to contribute to the organisational performance.

With regard its practical implications, SMEs’ owners-managers and HR practitioners may find our results and conclusions interesting. Indeed, recommendations in business management have often been accompanied by new approaches in HRM (Kent, 2005), as this study proposes. In particular, managers will find evidence of how a decision-maker’s higher EI propitiates the adoption of high-performance HR practices, thus being able to improve HRM in their SMEs. Moreover, managers will obtain guidance on which emotional competencies are the most important for adopting each HR practice, and so find greater success in their HRM roles. SMEs could organise programmes to develop the HR decision-maker’s emotional competencies, as large firms do for their executives.

Thus, the main theoretical contribution of this work stems from the incorporation of a psychological variable (EI) as an antecedent of HRM. Managers of the SME will find guidance about which emotional competencies are the most important for them to be more successful in their roles and for improving HRM.

This study aims to assess health workers’ level of emotional intelligence (EI) in Accra North and recommend a simple but robust statistical technique for compulsorily validating EI measurement scales.

The researchers used a self-reported questionnaire to collect data from 1,049 randomly selected health workers. Two non-nested models, BNK MODEL and CMODEL, were compared to see which of them better fits the study population and yields a better level of EI. The one-sample and independent-samples t-tests, exploratory factor analysis and confirmatory factor analysis were used to present results.

The study found that health workers were appreciably emotionally intelligent for both models at the 5 per cent significance level. However, EI was higher for the CMODEL. The CMODEL also better fits the study population (χ² = 132.2, p = 0.487, Akaike information criterion = 124.932) and thus better underlies EI in it. This study recommends proper validation of the two EI scales evaluated in this study, and possibly other scales, before the use of their data in research, as failure to do so could lead to unrealistic results.

Apart from its contribution to the literature, this study provides a robust statistical approach for assessing health workers’ EI and validating EI scales. By comparing two models of EI in the validation process, this paper suggests that the researcher’s choice of a measurement scale can influence his/her results.

The present chapter addresses a topic that is of growing interest – namely, the exploration of alternative item response theory (IRT) models for noncognitive assessment. Previous research in the assessment of trait emotional intelligence (or “trait emotional self-efficacy”) has been limited to traditional psychometric techniques (e.g., classical test theory) under the notion of a dominance response processes describing the relationship between individuals' latent characteristics and individuals' response selection. The present study, presents the first unfolding IRT modeling effort in the general field of emotional intelligence (EI). We applied the Generalized Graded Unfolding Model (GGUM) in order to evaluate the response process and the item properties on the short form of the trait emotional intelligence questionnaire (TEIQue-SF). A sample of 866 participants completed the English version of the TEIQue-SF. Results suggests that the GGUM has an adequate fit to the data. Furthermore, inspection of the test information and standard error functions revealed that the TEIQue-SF is accurate for low and middle scores on the construct; however several items had low discrimination parameters. Implications for the benefits of unfolding models in the assessment of trait EI are discussed.