Need 500 words Research paper
Running head: USING IT TO MODEL BEHAVIOR FOR POLICY MAKING 1
USING IT TO MODEL BEHAVIOR FOR POLICY MAKING 9
Using IT to Model Behaviour for Policy Making
Naga Devika Cheekati
University of The Cumberlands
Annotated Bibliography
Li, W., & Zhang, X. (2014). Simulation of the smart grid communications: Challenges, techniques, and future trends. Computers & Electrical Engineering, 40(1), 270-288.
Li and Zhang (2014), investigate how technology can be used in a simulation that would aid in determining how effectively smart grid technology can be implemented. The successful implementation of smart grid technology requires the combination of several different frameworks that rely on information communication technology to aid in the regulation of power created and supplied. A simulation of possible communication networks that can be used is made in the study as a way of testing the viability of a smart grid system and its application in reality. The paper successfully identifies various simulation frameworks that can be used to successfully gauge how the system can be created. The findings show that information technology can play an integral role in creating simulations that can support policymaking.
Sarabando, C., Cravino, J. P., & Soares, A. A. (2014). Contribution of a computer simulation to students' learning of the physics concepts of weight and mass. Procedia Technology, 13, 112-121.
Sarabando, Cravino, and Soares (2014) investigate the use of computer simulation to analyse how students learn key concepts of physics. Software is used to analyse common learning processes used in teaching physics. Students in the sample population were asked to carry out learning activities ordinarily on the traditional learning environment. The results were then compared to learning activities that were carried out using computer software. The findings showed that the use of computer simulation in learning improved the retention rate, while the language used by teachers also impacted the speed of learning. The findings of the study can be used in the formulation of learning policies, which shows that IT simulation can be successfully used in the formulation of public policy.
Mensah, P., Merkuryev, Y., & Longo, .. F. (2015). Using ICT in Developing a Resilient Supply Chain Strategy. Procedia Computer Science, 43, 101-108.
Mensah, Merkuryev, and Longo (2015) analyse how simulation can be used to improve supply chain performance. According to the study, many different factors impact on the performance of a supply chain, some of which are not taken into consideration when designing supply chain activities. Through simulation aided by information technology, all key factors that influence the performance of the supply chain can be analysed in-depth and included in simulation models. The models are then used to analyse how a supply chain will perform under different conditions, which aids managers in making better decisions about key design elements of their supply. Similar models can also be used in the design of key government processes and policies, using data collected on different variables that affect the performance of these processes.
Belaud, J., Negny, S., Dupros, F., Michéa, D., & Vautrin, B. (2014). Collaborative simulation and scientific big data analysis: Illustration for sustainability in natural hazards management and chemical process engineering. Computers in Industry, 65(3), 521-535.
Belaud, Negny, Dupros, Michéa, and Vautrin (2014), study the use of computer-aided simulation to investigate the possible ways of managing hazards in chemical processing facilities. According to the study, many different hazards are faced in chemical processing. Through simulation, it is possible to identify effective ways of managing these hazards as well as identifying the possible effects they can have on an organization as well as the environment. Through simulation, how different hazards can be successfully managed while taking into consideration the different environmental factors that exist in chemical processing are identified using 3D visualization and virtual process analysis. The findings of the study indicate that computer-aided simulation can be successfully used to analyse the effects of different government policies relating to the environment.
Achachlouei, M., & Hilty, L. (2015). Modeling the Effects of ICT on Environmental Sustainability: Revisiting a System Dynamics Model Developed for the European Commission. ICT Innovations for Sustainability, 449-474.
Achachlouei and Hilty (2015), study the use of simulation models to investigate the possible effects of information communication technology on environmental sustainability. ICT is believed to have a major impact on information technology both positively and negatively. A computer-generated model is used to analyse all the possible effects that ICT can have the environment especially relating to greenhouse gas emissions. The findings of the simulation indicate that generally ICT contributes positively to environmental sustainability and is an effective means that can be used to manage greenhouse emissions from different sources. The findings indicate that computer-aided simulation models can be successfully used in providing information that can aid in the formulation of crucial government policies on the environment.
Hilty, L., & Aebischer, B. (2015). ICT for Sustainability: An Emerging Research Field. ICT Innovations for Sustainability, 3-36.
Hilty and Aebischer (2015), analyse how simulation models can be used in the management of different types of resources as a way of contributing to sustainability. According to the study, different organizations can attain sustainability by efficiently using resources and identifying processes that contribute to conservation. Using simulation models aided by information technology, it is possible to identify highly efficient ways of using different resources, which aids in minimizing wastage and consequently contributes to sustainability. The study identifies a variety of simulation models that can be used to achieve this purpose including green ICT. The findings of the study indicate that information technology when used in simulations can enable government agencies to make policies on the most effective ways of using certain resources as a way of contributing to sustainability.
Baiardi, F., Corò, F., Tonelli, F., & Sgandurra, D. (2014). Automating the assessment of ICT risk. Journal of Information Security and Applications, 19(3), 182-193
Baiardi, Corò, Tonelli, and Sgandurra (2014), use simulation models to analyse the risk that ICT systems pose in organizational contexts. According to the study, ICT plays an increasingly prominent role in the successful operation of modern-day organizations. There is little information however on the possible effects that a failure of the system to perform as intended can have on an organization. Using a simulation model, the study investigates the different components of ICT systems and the risks that they pose to an organization. The findings of the study indicate that each component of the ICT system used by an organization needs to be investigated separately if all the risks that it poses are to be accurately identified. The findings of the study can be used in creating simulation models that risk that the use of ICT poses to the operation of the public sector.
Khan, Z., Ludlow, D., Loibl, & Soomro, K. (2014). ICT enabled participatory urban planning and policy development: The UrbanAPI project. Transforming Government: People, Processes, and Policy, 8(2), 205-229.
Khan, Ludlow, Loibl, and Soomro (2014), investigate how ICT models can be used in simulations that are meant to identify efficient urban plans for policy development. Using virtual simulation models, different urban plans are analysed in terms of their key features and different variables such as cost. Other considerations are also made about each model after which comparisons are made until the most efficient model is identified. Using this model, urban planners can be able to quickly compare different models and suggestions and make improvements that can be used to make policies on how actual development should take place. The findings of the paper indicate that ICT simulation is an effective tool that can be used to provide information for public policymaking.
Baptista, G., Oliveira, T., & Popovic, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
Baptista, Oliveira, and Popovic (2014) create a model that analyses key factors that people take into consideration when deciding whether or not to adopt internet banking. As part of the study, the authors examine societal attitudes and factors that influence the use of technology to carry out important transactions. Using a sample of 249 cases the study identifies social influence and the relevant technical know-how as being the main factors that influence the rate of adoption of internet banking. The study shows that most people are comfortable with technological innovations that are widely accepted and that are known to have relatively low risk. The findings of the paper can be used in public policymaking about popular technological innovations that are considered to be controversial.
Attuquayefio, S., & Addo, H. (2014). Using the UTAUT model to analyze students' ICT adoption. International Journal of Education and Development using ICT, 10(3).
Attuquayefio and Addo (2014), analyses the adoption of information communication technology among college students using the unified theory of acceptance and use of technology (UTAUT). The main purpose of the study was to identify key factors that influence the intention and decision of college students to use ICT in their studies. A sample of 400 students was selected and online questionnaires used to identify how students in the sample used ICT. Performance expectancy and social influence were identified not having a statistically significant impact on the decision to use technology by students in the sample population. The findings indicate that simulation can provide useful information that can be used in making policies affecting education.
References
Achachlouei, M., & Hilty, L. (2015). Modeling the Effects of ICT on Environmental Sustainability: Revisiting a System Dynamics Model Developed for the European Commission. ICT Innovations for Sustainability, 449-474. Retrieved from https://link.springer.com/chapter/10.1007/978-3-319-09228-7_27
Attuquayefio, S., & Addo, H. (2014). Using the UTAUT model to analyze students' ICT adoption. International Journal of Education and Development using ICT, 10(3).
Baiardi, F., Corò, F., Tonelli, F., & Sgandurra, D. (2014). Automating the assessment of ICT risk. Journal of Information Security and Applications, 19(3), 182-193.
Baptista, G., Oliveira, T., & Popovic, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
Belaud, J., Negny, S., Dupros, F., Michéa, D., & Vautrin, B. (2014). Collaborative simulation and scientific big data analysis: Illustration for sustainability in natural hazards management and chemical process engineering. Computers in Industry, 65(3), 521-535.
Hilty, L., & Aebischer, B. (2015). ICT for Sustainability: An Emerging Research Field. ICT Innovations for Sustainability, 3-36.
Khan, Z., Ludlow, D., Loibl, & Soomro, K. (2014). ICT enabled participatory urban planning and policy development: The UrbanAPI project. Transforming Government: People, Processes, and Policy, 8(2), 205-229.
Li, W., & Zhang, X. (2014). Simulation of the smart grid communications: Challenges, techniques, and future trends. Computers & Electrical Engineering, 40(1), 270-288.
Mensah, P., Merkuryev, Y., & Longo, .. F. (2015). Using ICT in Developing a Resilient Supply Chain Strategy. Procedia Computer Science, 43, 101-108.
Sarabando, C., Cravino, J. P., & Soares, A. A. (2014). Contribution of a computer simulation to students' learning of the physics concepts of weight and mass. Procedia Technology, 13, 112-121.