Modeling Effective Construction Management -Myassignmenthelp.Com

Question: Discuss About The Modeling Effective Construction Management? Answer: Introduction In the above diagram, the signup rate of Facebook is depended on two major variables, the existing users and the new users which together makes up the total users on Facebook. The existing users are shown better contents which helps in better advertising from sources. In addition to new users, the total number of users are targeted by showing a better interface through mobile applications. These factors are responsible for affecting the signup rate of Facebook. The diffusion of Facebook is depended on various factors which are depicted above. In the balancing loop, the targeted contents created for the advertising media are termed as the balancing loop as these entities make up the revenue stream of Facebook. On the other hand, the use of viral media quality posts are a way to reinforce the engagement of the users on Facebook which is accountable for the rate of diffusion in Facebook. The halt of growth in Facebook is due to many factors which are depicted in the figure above. Due to the increase in mobile market, the need for optimizing webpages became a necessity and this has been utilized by Facebook to get the market forming the balancing loop for this diagram. In a similar manner, the reduction in desktop traffic was also compensated by increasing mobile traffic which accounted for a reduction in desktop streaming. The major factors that were responsible for the diffusion of Facebook are mainly due to various factors. The quality of the posts are high, medium and low which are based on the type of use. The high quality uses are basically done to show the users about what they prefer which increases the advertisement quality delivered. These factors increased the diffusion rate of Facebook. In the same time, for low quality uses, the news and media are captured effectively which increases the interaction rate of users. This section of the causal loop diagram denotes the performance parameters which were responsible for the halt of growth in Facebook. The increase in revenue is the main consideration of mobile traffic and in the same time the reduction in desktop traffic also accounted for changes in it. For the causal loop diagram shown above, the speculative bubble is discusses which shows the rise in the real estate industry of Dubai. This led to increase in buying and selling of properties which in turn led to the reduction in the financial status of Dubai. Since then, the demand was made after the introduction of the banking and logistics sector which made more cash inflow. References Allender, S., Owen, B., Kuhlberg, J., Lowe, J., Nagorcka-Smith, P., Whelan, J., Bell, C. (2015). A community based systems diagram of obesity causes.PloS one,10(7), e0129683. Iannone, R., Martino, G., Miranda, S., Riemma, S. (2015). Modeling fashion retail supply chain through causal loop diagram.IFAC-PapersOnLine,48(3), 1290-1295. Inam, A., Adamowski, J., Halbe, J., Prasher, S. (2015). Using causal loop diagrams for the initialization of stakeholder engagement in soil salinity management in agricultural watersheds in developing countries: A case study in the Rechna Doab watershed, Pakistan.Journal of environmental management,152, 251-267. McGlashan, J., Johnstone, M., Creighton, D., de la Haye, K., Allender, S. (2016). Quantifying a systems map: network analysis of a childhood obesity causal loop diagram.PloS one,11(10), e0165459. Payo, A., Hall, J. W., French, J., Sutherland, J., van Maanen, B., Nicholls, R. J., Reeve, D. E. (2016). Causal Loop Analysis of coastal geomorphological systems.Geomorphology,256, 36-48. Rawlins, J. M., Fraser, G., De Lange, W. J. (2015). Exploring the suitability of causal loop diagrams to assess the Value chains of aquatic ecosystem services: A case study of the Baviaanskloof, South Africa. Sarriot, E., Morrow, M., Langston, A., Weiss, J., Landegger, J., Tsuma, L. (2015). A causal loop analysis of the sustainability of integrated community case management in Rwanda.Social Science Medicine,131, 147-155. Setianto, N. A., Cameron, D., Gaughan, J. B. (2014). Identifying archetypes of an enhanced system dynamics causal loop diagram in pursuit of strategies to improve smallholder beef farming in Java, Indonesia.Systems Research and Behavioral Science,31(5), 642-654. Yuan, H., Hao, J., Lu, S. (2014). Modeling Effective Construction Waste Management Through Causal Loop Diagrams. InProceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate(pp. 1099-1107). Springer, Berlin, Heidelberg.