Corrections to Information Systems and Business Values
LeeTampa
PowerpointSP001.pptxCost-Benefit Analysis
DSS expands the information scope handled by each expert (Xue, 2017).
DSS is user-driven.
DSS fails to undertake further analysis in solitude (Marakas & O'Brien, 2012).
KMS enhances knowledge discovery (Xue, 2017).
DSS depends on KMS.
DSS compares decisions with activities of KM.
DSS helps in investigation of underlying decision (Marakas & O'Brien, 2012)..
DSS may prove to be invaluable in terms of the expansion of the scope of information handled by experts. The implication is that cognitive limitations become less visible in the determination of the amount of information utilized by an expert. DSS is beneficial in terms of being user-driven, which means that the system has the capacity of answering the queries regarding what is input by the expert. However, it fails to provide any further analysis independently. KM emphasizes that DSS has the capacity of enhancing the knowledge of the manager through discovery of knowledge while supplying the relevant information. The notion is that DSS is designed with a greater consideration of KM. It helps in the undertaking of decision investigations in a business.
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References
Döppner, D. A., Derckx, P., & Schoder, D. (2018, January). An intelligent decision support system for the empty unit load device repositioning problem in air cargo industry. In Proceedings of the 51st Hawaii International Conference on System Sciences.
Marakas, G., & O'Brien, J. (2012). Introduction to Information Systems-Loose Leaf. McGraw-Hill Higher Education.
Munro, M. C. & Khan, S. (2017). WestJet airlines: information technology governance and corporate strategy. Ivey Publishing, Ivey Business School, Western University, London, Ontario, Canada. N6G 0N1.
Xue, C. T. S. (2017). A Literature Review on Knowledge Management in Organizations. Research in Business and Management, 4(1), 30-41.
