Decision engineering: settling a lean decision modeling approach (CROSBI ID 666270)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bevanda, Vanja
engleski
Decision engineering: settling a lean decision modeling approach
Despite several decades of advances in information- communication technologies (ICT) supporting decision makers, basic spreadsheet modeling and statistics are still the 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 the observation that simple methods disrupt minimally established organizational decision- making processes and modeling of routine decisions usually seek to enhance the efficiency and effectiveness. (Luoma, 2016). Herchel (2007) identified so- called "the execution gap" showing that corporations` ability to collect data is increasing faster than ability to use the 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 the what", we try better to understand the ways that the modern decision management tools influence the decision making behavior. Differently put, could the design and implementation of decision management systems in organizations serve as a lean decision modelling approach that improve behavioral fit of modern managers?
Decision making, Decision management system, Business analytics, Business intelligence system, Operations management
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Podaci o prilogu
102-111.
2018.
objavljeno
Podaci o matičnoj publikaciji
Economic and Social Development 33rd International Scientific Conference on Economic and Social Development – "Managerial Issues in Modern Business"
Studzieniecki, Tomasz ; Kozina, Melita ; Skalamera Alilovic, Dunja
Varaždin:
1849-7535
Podaci o skupu
33rd International Scientific Conference on Economic and Social Development
predavanje
26.09.2018-27.09.2018
Varšava, Poljska
Povezanost rada
Ekonomija, Informacijske i komunikacijske znanosti