Farm Financial Performance of Kentucky Farms

This study examines farm financial performance of Kentucky farms using Kentucky Farm Business Management data from 1998-2010. Logit models are used to estimate the likelihood of farm characteristics affecting whether financial ratios fall into critical zones or not. The results show that large farms in terms of total gross returns and total assets are less likely to experience repayment capacity problems. Total gross returns significantly affect all five financial measures. These findings will help farmers and lenders understand what factors influence farm financial performance. Profitability migration is tested to see if the migration probabilities differ across business cycles. Migration drift is also tested to determine if the Markov property of independence is violated. Results show substantial retention in return on equity (ROE) performance over time, and a tendency for trend-reversal if ROE changes occur. Results are compared to previous literature using ARMS data and Illinois FBFM

Crisis intervention team training for law enforcement: Analyzing the factors that influence verbal de-escalation skills knowledge attainment in the Memphis Model

Crisis intervention team training for law enforcement: Analyzing the factors that influence verbal de-escalation skills knowledge attainment in the Memphis Mode

IS Learning: The Impact of Gender and Team Emotional Intelligence

In university settings, dysfunction in teamwork often challenges problem-based learning in IS projects. Researchers of IS Education have largely overlooked Team Emotional Intelligence (TEI), which offers a collective cognitive skill that may benefit the student learning experience. Hypothesized are four dimensions of emotional intelligence (EI) that influence perceived effectiveness in IS learning teams. This paper proposes a model that explains how these four dimensions influence perceived team effectiveness and how gender affects this relationship. A survey administered to 384 students resulting in 94 IS learning teams produced regression (and moderated regression) results showing that gender, along with two TEI dimensions (awareness and management of one’s own emotion) predict team effectiveness. Significant results suggest gender differences in the relationship between a team member’s awareness of his or her own emotions, management of others’ emotions, and team effectiveness. These findings suggest IS educators should focus on targeted interventions that may help to foster the development of emotionally intelligent IS learning teams. Most prominently, gender plays an important role for emotional intelligence competencies, where differences exist in awareness of one’s own emotions and management of others’ emotions among student learning teams

Explaining Implicit and Explicit Affective Linkages in IT Teams: Facial Recognition, Emotional Intelligence, and Affective Tone

Over 80 percent of task work in organizations is performed by teams. Most teams operate in a more fluid, dynamic, and complex environment than in the past. As a result, a growing body of research is beginning to focus on how teams’ emotional well-being can benefit the effectiveness of workplace team efforts. These teams are required to be adaptive, to operate in ill-structured environments, and to rely on technology more than ever before. However, teams have become so ubiquitous that many organizations and managers take them for granted and assume they will be effective and productive. Because of the increased use of team work and the lack of sufficient organizational and managerial sufficient best practices for teams, more research is required. Team Emotional Intelligence (TEI) is a collective skill that has been shown to benefit team performance. However, measures for TEI are relatively new and have not been widely studied. Results show TEI is a viable skill that affects performance in IT teams. In technology-rich environments, the teams’ coordination can vary on levels of the expertise needed when TEI behaviors are employed. Cooperative norms play an important role in team interactions and influence TEI. Physiological measures of team emotional contagion and TEI, as well as psychometric measures of team affective tone results show causal affective linkages in the emotional convergence model. These results suggest that combined physiological and psychometric measures of team emotion behavior provide explanatory power for these linkages in teams during IS technology system use. These findings offer new insights into the emotional states of IS teams that may advance the understanding team behaviors for improved performance outcomes and contribute to the NeuroIS literature

Cooperative learning third grade mathematics activities for LEP students

Limited English Proficiency students--Third grade (3rd grade

Psychophysiological Measures of Cognitive Absorption

Cognitive absorption (CA) corresponds to a state of deep involvement with a software program. CA has widely been studied over the last decade in the IT literature using psychometric instruments. Measuring ongoing CA with psychometric tools requires interrupting a subject’s ongoing usage behavior to self-evaluate their level of absorption. Such interruptions may alter or contaminate the very CA state the researcher us attempting to measure. To circumvent this problem, we are investigating the effectiveness of psychophysiological measures of cognitive absorption. This paper reports preliminary results from an ongoing research project by looking at the correlation between electrodermal activity (EDA) and several dimensions of the CA construct