While computer technology is generally intended to increase employee productivity and effectiveness that same computer technology may be used in negative ways that reduces productivity and increases cost in the business environment. Computer abuse has occurred in the past 12 months in more than half of the business environments surveyed by the Computer Security Institute. To date, research results still indicate that employee computer abuse is problematic and continues to significantly increase. It is estimated American businesses will lose $63 billion each year due to employees' computer abuse on the Internet. This study was a predictive study that attempted to predict employees' computer abuse intention (CAI) in the business environment based on the contribution of attitude (ATT), computer security policy awareness (CSPA), and computer self-efficacy (CSE). Working professionals from the south central United States were surveyed to determine their ATT toward computer abuse, CSPA, and CSE, as well as their intention to commit computer abuse in the business environment. A theoretical model was proposed, and two statistical methods were used to formulate models and test predictive power: Multiple Linear Regression (MLR) and Ordinal Logistic Regression (OLR). It was predicted that ATT, CSPA, and CSE will have a significant impact on employee's CAI. Results demonstrated that ATT was a significant predictor in predicting employee CAI on both the MLR and OLR regression models. CSE was a significant predictor on the MLR model only. CSPA was not found to be a significant predictor of CAI on either regression models. There are two main contributions of this study. First, to develop and empirically validate models for predicting employee's CAI in the business environment. Second, to investigate the most significant construct of the three constructs studied that contribute to the employee's CAI in the business environment.

Computer technologies have increased the opportunities for employees to engage in cyberloafing by using the Internet at work for personal purposes. Uncontrolled cyberloafing is a threat to organizational effectiveness because it affects organizational productivity. The purpose of this single case study was to explore successful strategies functional managers use to control cyberloafing behaviors of their employees at an e-learning organization located in the northeastern United States. The theory of planned behavior, which emphasized behavioral, normative, and control beliefs as key elements to predict individuals' intentions to behave was the conceptual framework. Data collection included semistructured face-to-face interviews with 11 functional managers and an exploration of organizational policies, procedures, and handbooks. Data analysis included examination of word frequencies, keyword coding, and theme identification. Using Yin's 5 steps for data analysis, 3 themes emerged: create engaging jobs, communicate clear expectations, and promote a positive work environment. Functional managers in the e-learning organization in this study may control cyberloafing by ensuring that social norms convey disapproval, combining deterrence policies and performance metrics; and showing attitudes that promote citizenship behaviors. The implications for positive social change include the potential to provide the e-learning organization in this study with best practices that support employees' needs for work-life balance, thus promoting employee satisfaction while maximizing employee productivity. As a result, the findings of this study can decrease stress, increase morale and positively impact the overall well-being of the organization's workforce.