Despite the growing awareness of ethical problems in corporations, the daily news around the world is replete with cases of fraud and corruption, suggesting that much is still to be understood to curb unethical behavior. This research represents a step forward to our understanding of ethical decision-making through the adoption of multiple and simultaneous factors. Based on an extensive review of the literature, this study proposed an integrated theory of self-monitoring, temporal orientation as individual factors, and social networks influencing unethical options. A web survey and a web experiment were used to uncover sources of unethical intention and behavior. The sample consisted mostly of individuals from management positions in different industries, including a considerable number of women in high-level corporate positions. Data were analyzed using different quantitative analytical tools – structure equation modeling and cluster analysis –to provide supplemental results over theory. This study found evidence that individual factors, especially self-monitoring but also future orientation, increase the risk of unethical decision-making. Moreover, gender plays a role in the network structure, and the high self-monitors in network closure are the ones who increase the likelihood of unethical acts. An inverted pattern of the network structure emerged among respondents who chose the unethical options, compared to the network structure of the ethical respondents. The findings provided evidence about the different dynamics of how individual factors influence the creation of social networks, and how the connection of these two can pose a higher risk of unethical business decision-making.