Naslov
Decision engineering: settling a lean decision modeling approach

Autori
Bevanda, Vanja

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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, 2018, 102-111

Skup
33rd International Scientific Conference on Economic and Social Development

Mjesto i datum
Varšava, Poljska, 26.09.2018. - 27.09.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Decision making, Decision management system, Business analytics, Business intelligence system, Operations management

Sažetak
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?

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti

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