Responded to questions on scales and measures relating to cognitive-rational, socioemotionalĪnd time approach features of decision-making skill. In total, 118Īdministrative officers at the Swedish Social Insurance Agency (66% response rate) Related to decision-making success among social insurance officers. Moreover, cases should usuallyīe handled and finalised within the imposed time frames. At work their tasks are characterisedīy complexity and a need for order and accountability.
Social insurance administrative officers’ decision-making skills influence their efficiencyĪt work and their general well-being. Based on our experience, we propose some lessons learned and potential solutions that can enhance the body of literature in MCDA. This research has identified that the need for change of practices within the workplace, communication problems, and the requirement for multidisciplinary work were at the root of the various challenges encountered during the workshops. Individual interviews were conducted with the Quebec City professionals that currently use, were leaders of the project, or have participated in the development of the decision support system. In order to illustrate this framework, we apply it to an MCDA project in Quebec City where a spatial decision support system to prioritize the redesign of streets as Complete Streets was built. Based on this literature, our research proposes a framework to evaluate, ex-post, MCDA projects. This is in contrast with the public participation research field, where a rich literature was developed for a posteriori evaluation of projects. However, the lack of follow-up and post-project evaluations limit the understanding of how the participants experienced the group workshops and how the results were subsequently used within the organization. These models are all designed to improve decision processes.
Numerous multicriteria decision aiding (MCDA) methods have been developed over the last decades and are now applied in various domains, sometimes using facilitated group workshops to create models. These advances in reservoir operations hold significant promise for better addressing the challenges of conflicting human pressures and a changing world, which is particularly important, given the renewed interest in dam construction globally.
Our analysis also suggests that control policy design methods may benefit from broadening the types of information that is used to condition operational decisions, and from using emulation modeling to identify low‐order, computationally efficient surrogate models capturing realistic representations of river basin systems' complexity in order to isolate key decision‐relevant processes. This paper contributes a comprehensive classification of over 300 studies published over the last years into distinctive categories depending on the adopted problem formulation, which clarifies consolidated methodological approaches and emerging trends. In this study, we review the recent literature focusing on how the operation design problem is formulated, rather than solved, to address existing challenges and take advantage of new opportunities. Past research in this area has largely focused on improving solution algorithms within the limits of the available computational power, using simplified problem formulations that can misrepresent important systemic complexities and intersectoral interactions. Today, reservoir operations benefit from technological advances, including improved monitoring and forecasting systems as well as increasing computational power. Changing values for balancing environmental resources, multisectoral human system pressures, and more frequent climate extremes are increasing the complexity of operational decision making. The state of the art for optimal water reservoir operations is rapidly evolving, driven by emerging societal challenges. The analysis also argues for decision attribution theories that would explain how deciders think they decide and why they believe that their decisions sometimes fail. The chapter offers for consideration a new, comprehensive decision quality conception intended to facilitate both fundamental and practical scholarship. Two empirical studies and a critical review of the most popular aiding approaches (from decision analysis to expert systems) support this thesis. And when deciders do try the aids, the results disappoint them because the aids leave untouched quality dimensions that matter to them. Deciders therefore often ignore such aids because they appear irrelevant to significant decider concerns. Yet, the typical decision aid (and its theoretical underpinning) is predicated on a narrow conception of decision quality that has other emphases. A proposed contributor is this: To most deciders, decision quality entails myriad diverse facets, with an emphasis on material welfare. Behavior-focused decision aids have had little documented success.