Web-Based Decision Support System For Managing Panicle Caterpillars

Question: Describe about A Web-Based Decision Support System For Managing Panicle Caterpillar. Answer: Executive support systems in high degree of uncertainty situations Yin (2015) depicts that a support system is a software that allows the transformation of organization's data into usefully summarized data, which offers the managing authorities of an organization for effective decision making. Gohel and Gondalia (2013) furthermore, describes that false assumptions, inaccurate estimations of the probabilities, difficulty in evaluating the utility functions and incapability of forecasting errors are some uncertain situation that drives the decision making abilities. EIS provides information-based insight and understanding for easy management of enterprise-wide DSS that offer executives to analyze, compare, and highlight trends to monitor organizations performance and profitability through a graphical display (Galliers Leidner, 2014). The informatory statistics of the organization in the computer system helps the managers to evaluate the possible risk and likelihood of negative consequences and minimize the risk by proper judgment. Bonczek et al. (2014) illustrates that EIS helps an organization to overcome numerous form of risk like strategic risk that is risk evolved from investments an organization financial risk that can arise due to poor allocation of resources. Operational risks and legal risk can also be a reason for an uncertain situation that resembles the threats in designing the processes to create and deliver services and risk in litigation orambiguity of the undertaken legislations respectively (Galliers Leidner, 2014). Summary It can be concluded that an effective executive support system not only helps the managing authorities to brief the organizational details, but it also helps them to report the exception like the evolution of any risk in business and analyze them in a customized way. The important data of the business can be downloaded automatically from the database and can be used to formulate decision for the betterment of the organization. Various uses of Decision Support System Power et al. (2015) demonstrates that an efficient decision support system (DSS) can be customized according to a businesss demand and requirement. Thus, it can be used for various purposes like in inventory management, where DSS applications can provide guidance on supply chain movement. On the other hand, Scott et al. (2015) depicts that DSS also helps in the sales process, where managers can evaluate sales optimization and sales projections for better productivity and profitability. In addition to that, Shibl et al. (2013) portrays that in the production of an organization, DSS can help the managers in procurement analysis, production planning, cost estimation and analysis, manpower loading and inventory planning and control. Moreover, Backoulou et al. (2014) describes that in the financial analysis also DSS plays a crucial role in helping the organization to capitalize the budget, tax planning, strategic financial planning and budgeting, financial planning and analysis and cash and working capital management. Silva et al. (2014) also depicted that there are some facilities that both EIS and DSS provide to the organization - predefined reports, model building along with EIS facilities. Figure 1: EIS and DSS are different levels of information support (Source: Backoulou et al., 2014) Summary A data support system is a computer application that evaluates the business data and provides the managing authorities the ability to make a decision for the advancement of the company. This application allows the compilation of crucial organizational data or business model that provides competitive advantage. Kokshenev et al. (2015) depicts that some of the advantageous factors obtained by using DSS is that it improves interpersonal communication by enhancing collaboration among decision-makers. Furthermore, DSS is not only time effective, but it also increase the satisfaction level of the decision maker by promoting learning ability of new concepts and developing a better factual understanding of the business objectives. Reference List Backoulou, G. F., Elliott, N. C., Royer, T. A., McCornack, B. P., Giles, K. L., Pendleton, B. B., Brewer, M. J. (2014). A web-based decision support system for managing panicle caterpillars in sorghum.Crop Management,13(1). Bonczek, R. H., Holsapple, C. W., Whinston, A. B. (2014).Foundations of decision support systems. Academic Press. Galliers, R. D., Leidner, D. E. (2014).Strategic information management: challenges and strategies in managing information systems. Routledge. Gohel, H., Gondalia, V. (2013). Executive Information Advancement of Knowledge Based Decision Support System for Organization of United Kingdom.International journal of advanced and innovative research, 41-50. Kokshenev, I., Parreiras, R. O., Ekel, P. Y., Alves, G. B., Menicucci, S. V. (2015). A web-based decision support center for electrical energy companies.IEEE Transactions on Fuzzy Systems,23(1), 16-28. Power, D. J., Sharda, R., Burstein, F. (2015).Decision support systems. John Wiley Sons, Ltd. Scott, J., Ho, W., Dey, P. K., Talluri, S. (2015). A decision support system for supplier selection and order allocation in stochastic, multi-stakeholder and multi-criteria environments.International Journal of Production Economics,166, 226-237. Shibl, R., Lawley, M., Debuse, J. (2013). Factors influencing decision support system acceptance.Decision Support Systems,54(2), 953-961. Silva, S., Alada-Almeida, L., Dias, L. C. (2014). Development of a Web-based Multi-criteria Spatial Decision Support System for the assessment of environmental sustainability of dairy farms.Computers and Electronics in Agriculture,108, 46-57. Yin, C. Y. (2015). Measuring organizational impacts by integrating competitive intelligence into executive information system.Journal of Intelligent Manufacturing, 1-15.