Posted: April 8th, 2023

Answer part 3 of the attachment formulating a management problem or opportunity

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Answer part 3 of the attachment
formulating a management problem or opportunity and determining what decisions need to be made in this context, the high impact outcomes of those decisions, how to create an ethical decision-making process, and who the stakeholders are for the decisions to be made for your management problem or opportunity
3. Identify Data for Actionable Management Decision Making
Formulate and critically evaluate the requirements for data needed to enable actionable decision making for addressing the management problem or opportunity. As you do so, focus on the following:
A. From the literature, explain the concepts and implications of the following processes for establishing the scope of data requirements for decision making related to your selected management problem or opportunity:
• Business intelligence
• Data mining
• Knowledge management
• Knowledge acquisition and reasoning use of artificial intelligence or expert systems
B. Select the types of data and information needed for the key decisions to be made related to the management problem or opportunity (see I-B-2,3).
C. Appraise potential secondary or archival data to be acquired for the decision environment.
D. Distinguish potential primary data to be collected for the decision environment.
E. Evaluate the strengths and limitations of the data collection plan related to actionable decision-making processes.
Recommended Readings
Doumpos, M., & Grigoroudis, E. (2013). Multicriteria decision aid and artificial intelligence: Links, theory and applications Links to an external site.. West Sussex, United Kingdom: John Wiley & Sons. Links to an external site.
Frantz, R. (2003). Herbert Simon. Artificial intelligence as a framework for understanding intuition Links to an external site.. Journal Of Economic Psychology, 24(2), 265-277. doi:10.1016/S0167-4870(02)00207-6 Links to an external site.
I-scoop. (n.d.). Information management and strategy – an executive guide Links to an external site.. Retrieved from https://www.i-scoop.eu/information-management/ Links to an external site.
Jarrahi, M. H. (2018). Artificial intelligence and the future of work: Human-AI symbiosis in organizational decision making Links to an external site.. Business Horizons, 61(4), 577–586. doi:10.1016/j.bushor.2018.03.007 Links to an external site.
Lawrence, T. (1991). Impacts of artificial intelligence on organizational decision making Links to an external site.. Journal of Behavioral Decision Making, 4(3), 195–214. doi:10.1002/bdm.3960040306 Links to an external site.
Parry, K., Cohen, M., & Bhattacharya, S. (2016).Rise of the machines: A critical consideration of automated leadership decision making in organizations Links to an external site.. Group & Organization Management, 41(5), 571-594. doi:10.1177/1059601116643442 Links to an external site.
Pomerol, J.-C. (1997). Artificial intelligence and human decision making Links to an external site.. European Journal of Operational Research, 99(1), 3–25. doi:10.1016/S0377- 2217(96)00378-5 Links to an external site.
Shrader, D. E., & Ghosh, D. (2018). Proactively protecting against the singularity: Ethical decision making in AI Links to an external site.. IEEE Security & Privacy, 16(3), 56­–63. doi:10.1109/MSP.2018.2701169 Links to an external site.

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