Today, many privacy abuses can be traced to the lack of organization policies governing the conduct of the personnel who are in charge of managing the information systems. IT professionals, who are the most important gatekeepers to the information privacy practices, have the oversight responsibility for information privacy since they have the most extensive knowledge of their organization¡¦s systems and data. In this research, we have studied the impact of managerial policies concerning ethical codes and rewards/penalty perception on IS professionals¡¦ self-regulation capacity against privacy abuses. Specificially, based upon the Moment-of-Truth model and paradigm of self-regulation, we investigated how IS professionals¡¦ ethical judgment, subjective norm, privacy self-efficacy and intention may reciprocally interact with their business environment that was characterized by its use of ethical codes and the rewards/penalty system. We first proposed an ethical dicision model based on the paradigm of self-regulation and validated the appropriateness of this model for studying information privacy. We then demonstrated how the perception of the rewards/penalty may impact the ethical judgment, subjective norm, privacy self-efficay, and ethical intention. We discovered that the rewards/penalty perception had a moderating effect on the relationship between ethical judgment and intention, and that the ethical codes had the moderating effect on the relationship between privacy self-efficacy and intention.

Competing in the age of knowledge economics, we have faced a whole new regimentation since the traditional production elements become the secondary resources, the knowledge is exactly the primary resources to business. To multiply the knowledge value, business have to advocacy the concept of knowledge sharing as the more knowledge the employees share, the more worth the business have. In this study, we propose a knowledge sharing model based on the Theory of Planned Behavior to study how the IS personnel behave in their respective practices concerning knowledge sharing. Also, through reviewing of knowledge management and knowledge sharing literature, we have identified several antecedents contributing to knowledge sharing behavior and those affecting attitude, subjective norm, and perceived behavioral control. In validating our research model with SEM, our data supported all the individual causal paths postulated by TPB except the relationship from subjective norm to knowledge sharing intention. The importance of significant antecedents such as expected associations, expected loss, altruism, and task interdependence have impacted on the attitude toward knowledge sharing; the affect-based trust and task interdependence have impacted on the subjective norm, also, the resources fit has impacted on the perceived behavioral control. The result will be useful to both the academic and business in their advocacy of the conduct of knowledge sharing.