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- W2894853700 abstract "Despite several decades of advances in information- communication technologies (ICT) supporting decision makers, basic spreadsheet modeling and statistics are still dominant modeling approaches in supporting decision making (Ranyard et all, 2015. ; Ackerman et all, 2014. ; Turban at all, 2015 ; Davenport, 2009.). The usage of lightweight analytical tools can be explained by observation that simple methods disrupt minimally established organizational decision-making processes and modeling of routine decisions usually seek to enhance efficiency and effectiveness. (Luoma, 2016). Herchel (2007) identified so- called the execution showing that corporations` ability to collect data is increasing faster than ability to use data. Decision management systems (DMS) try to fill that gap by incorporating descriptive, prescriptive and predictive analytic models in order to automate operational and some tactical business decisions. Resulting models standardized routine decisions with inserting programmable logic into automated business processes, presenting explicit form of institutional default heuristic. Decision engineering can be considered as an activities` assemblage that involve discovering and modelling decisions, building and deploying ICT components that combine advanced analytics with business rules and optimization. Decision engineers are a new kind of facilitators, who build decision requirements models of operational decisions in business processes. These models serve as a foundation for managers` and modelers` understandings when and which type of modeling should or should not be made part of organizational decision making process. Bearing in mind that humans shape their tools and then that tools shape humans and that ICT will always support the how and not what, we try better to understand ways that modern decision management tools influence decision making behavior. Differently put, could design and implementation of decision management systems in organizations serve as a lean decision modelling approach that improve behavioral fit of modern managers?" @default.
- W2894853700 created "2018-10-12" @default.
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- W2894853700 date "2018-01-01" @default.
- W2894853700 modified "2023-09-26" @default.
- W2894853700 title "DECISION ENGINEERING: SETTLING A LEAN DECISION MODELING APPROACH" @default.
- W2894853700 hasPublicationYear "2018" @default.
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