Smart city is a strategic entity that comprises of modern urban production factors in a common framework and highlights the growing importance of Information and Communication Technologies (ICTs). Telecommunications service providers have strengths and assets that can be utilized to bring the dream of a smart city environment into reality. This leads to a strong move that serves the needs of society by ensuring E-Governance rather than conventional setup of Governance. Establishing a customer contact centre is just the first part of the process of optimal digitalization of municipal operations and interactions with citizens. This research highlights how a contact center helps to achieve few goals of a by providing significant facilities to citizens.

Even with substantial investment in cyber defense, the risk of harm from cyber attacks is significant for many organizations. Multi-organization information-sharing programs have the potential to improve cyber security at relatively low cost by allowing organizations that face similar threats to share information on vulnerabilities, attacks, and defense strategies. The dynamics of an information-sharing program are likely to depend heavily on interactions between human decision makers. This article describes a system dynamics model of an information-sharing program. The model incorporates decision-making strategies of managers and cyber defenders in each participating organization. The model was used to assess how free-riding behavior is likely to affect the success of a multi-organization information-sharing program. Results shows that free riding may make information sharing more volatile and less beneficial early on, but other factors, including cost savings and the perceived utility of shared information, are likely to create success later in the time horizon.

We created a cognition-focused system dynamics model to simulate the dynamics of smoking tendencies based on media influences and communication of opinions. We based this model on the premise that the dynamics of attitudes about smoking can be more deeply understood by combining opinion dynamics with more in-depth psychological models that explicitly explore the root causes of behaviors of interest. Results of the model show the relative effectiveness of two different policies as compared to a baseline: a decrease in advertising spending, and an increase in educational spending. The initial results presented here indicate the utility of this type of simulation for analyzing various policies meant to influence the dynamics of opinions in a population. INTRODUCTIONThe investigation of health-related behaviors using simulation and analysis is a growing field that integrates behavioral, epidemiological, and computational research. Studies on smoking behavior are of particular interest due to tobacco's large impact on public health. Smoking is linked to a large number of diseases, and has contributed to at least 20 million premature deaths in the United States since 1964. A variety of government programs have been implemented to reduce smoking rates. These rates have 3892 978-1-4673-9743-8/15/$31.00 ©2015 IEEE

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