Relevant bibliographies by topics / Complexity of decision making

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Complexity of decision making'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Complexity of decision making"

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Shedid, Daniel, and Edward C. Benzel. "DECISION MAKING PROCESS." Neurosurgery 60, suppl_1 (January 1, 2007): S1–166—S1–169. http://dx.doi.org/10.1227/01.neu.0000249279.79686.e3.

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Abstract CLINICAL PROBLEMS ARE often complex. Problems of great complexity are usually associated with a commensurately greater degree of difficulty with respect to the decision making process. This is most certainly true regarding the management of cervical spondylosis. Usually, clinicians make clinically appropriate decisions. However, more often than realized, suboptimal decisions may be made. Therefore, an assessment of the types of errors regarding clinical decision making are worthy of consideration. In this article, a scheme for decision making regarding the management of cervical spondylosis is presented.
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Gorzeń-Mitka, Iwona, and Małgorzata Okręglicka. "Improving Decision Making in Complexity Environment." Procedia Economics and Finance 16 (2014): 402–9. http://dx.doi.org/10.1016/s2212-5671(14)00819-3.

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Bossaerts, Peter, and Carsten Murawski. "Computational Complexity and Human Decision-Making." Trends in Cognitive Sciences 21, no. 12 (December 2017): 917–29. http://dx.doi.org/10.1016/j.tics.2017.09.005.

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Susskind, Lawrence. "Complexity Science and Collaborative Decision Making." Negotiation Journal 26, no. 3 (July 1, 2010): 367–70. http://dx.doi.org/10.1111/j.1571-9979.2010.00278.x.

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Chung, Kon Shing Kenneth. "Understanding Decision Making through Complexity in Professional Networks." Advances in Decision Sciences 2014 (December 11, 2014): 1–10. http://dx.doi.org/10.1155/2014/215218.

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The attitudes of general practitioners (GP) play an influential role in their decision making about patient treatment and care. Considering the GP-patient encounter as a complex system, the interactions between the GP and their personal network of peers give rise to “aggregate complexity,” which in turn influences the GP’s decisions about patient treatment. This study models aggregate complexity and its influence in decision making in primary care through the use of social network metrics. Professional network and attitudinal data on decision making responsibility from 107 rural GPs were analysed. Social network measures of “density” and “inclusiveness” were used for computing the “interrelatedness” of components within such a “complex system.” The “number of components” and “degree of interrelatedness” were used to determine the complexity profiles, which was then used to associate with responsibility in decision making for each GP. GPs in simple profiles (i.e., with low components and interactions) in contrast to those in nonsimple profiles, indicate a higher responsibility for the decisions they make in medical care. This study suggests that social networks-based complexity profiles are useful for understanding decision making in primary care as it accounts for the role of influence through the professional networks of GPs.
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Ravenwood, Clare, Graham Walton, and Derek Stephens. "Complexity in decision making: Determining university library opening hours." Journal of Librarianship and Information Science 51, no. 2 (August 28, 2017): 488–96. http://dx.doi.org/10.1177/0961000617726127.

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Making decisions on academic library opening hours is complex with many pressures on managers. This research surveys senior academic library managers from the UK, using a questionnaire to reveal views on library opening hours, the decision-making process, and the pressures which influenced their decisions. A variety of factors were found, in particular satisfying undergraduate demands. The research also revealed the sources of information important in making decisions on opening hours and the influence of ‘political’ issues in the decision-making process. Some institutions remove complexity by utilising 24/7 opening, though this is not an option for many.
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Rábová, I., V. Konečný, and A. Matiášová. "Decision making with support of artificial intelligence." Agricultural Economics (Zemědělská ekonomika) 51, No. 9 (February 20, 2012): 385–88. http://dx.doi.org/10.17221/5124-agricecon.

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  Development of software modules for decision support is currently a basic trend in the creation of enterprise Information Systems (IS). The IS is basically a support system of the enterprise Decision System, therefore we can regard it as a very important factor of the competition ability and enterprise prosperity. Conventional IS modules provide the enterprise managers a lot of useful information. Nevertheless, own decision process in view of difficulty, complexity or creation disability of decision process model is very often problematic. This contribution is oriented by its content to appropriate choice realization of modules for support decision processes by using of artificial intelligence methods.      
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Horowitz, Irwin A., Lynne ForsterLee, and Ian Brolly. "Effects of trial complexity on decision making." Journal of Applied Psychology 81, no. 6 (1996): 757–68. http://dx.doi.org/10.1037/0021-9010.81.6.757.

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Lai, Shih-Kung. "Plan-based decision making for urban complexity." Journal of Urban Management 5, no. 1 (June 2016): 1–2. http://dx.doi.org/10.1016/j.jum.2016.03.001.

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Aggarwal, Rajesh. "Risk, Complexity, Decision Making, and Patient Care." JAMA Surgery 153, no. 3 (March 1, 2018): 208. http://dx.doi.org/10.1001/jamasurg.2017.3930.

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Dissertations / Theses on the topic "Complexity of decision making"

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Polk, Thomas E. "Decision making strategies : the influence of task complexity, decision importance, decision maker impulsivity, and decision maker gender /." Thesis, This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-03122009-040747/.

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Krisandersson, Patric, and Johan Hulthin. "The complexity of the audit process: : Judgment and decision making." Thesis, Uppsala universitet, Företagsekonomiska institutionen, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-180174.

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This paper explains what recognition the auditor has of theoretical judgment and decision making subjects surrounding the audit process. The auditors’ judgment and decision making skills seem to be more challenged when it comes to estimating their clients’ valuations. Therefore, the audit process of fair value measures (FVM) is used to charterer the recognition more clearly. Attention to this topic is warranted for several reasons. First, FVM was implemented on the Swedish market in 2005 and is relatively recent to Swedish auditors. Second, to our knowledge no similar study, regarding the Swedish audit firms, has been conducted within this area. Third, the evidence, drawn from previous research, of what recognition the auditors have of the theoretical judgment and decision making subjects seem to be more indirect than direct and we also extend the previous research. We find, through semi-structured interviews with employees of the ‘Big four’, that both judgment and decision making are acknowledged as possible issues. However, we also find that certain areas within these two categories are unrecognized to be of immediate concern.
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Nguyen, Tam Robert. "Using structural complexity to explain decision-making on corporate responsibility." Thesis, University of Newcastle upon Tyne, 2013. http://hdl.handle.net/10443/2225.

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Intra-organizational factors are an important line of inquiry to improve the explanation of corporate social responsibility (CSR) behavior in current theory and management concepts. Contributions from organizational behavior literature were used in this thesis to orient the analysis to the company’s structure in order to provide alternative explanations as to ‘why’ and ‘how’ companies addressed social responsibility issues and activities. Qualitative methods were employed to investigate the structure/decision relationship among a sample of decision processes of multinational business organizations. Conclusions suggest that social responsibility issues and activities can be treated contextually by the company, and its complexity can influence and shape the development of alternatives to address the issues and activities.
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Ortz, Courtney L. "THE INFLUENCE OF WIDOWED STATUS AND TASK COMPLEXITY ON DECISION MAKING." UKnowledge, 2013. http://uknowledge.uky.edu/gerontol_etds/5.

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Widowhood is a stressful life event that can impact an individual’s everyday life, including her decision making abilities. The complexity of the decision is also likely to influence the decision making abilities of these widows. The purpose of this dissertation was to better understand widows’ decision making processes, their preferences for collaboration when making decisions, and their satisfaction with the decision outcomes. Data analysis consisted of a series of 3 (widowed status) x 2 (task complexity) ANOVAS and ANCOVAS which found that both complexity and widowed status influence decision making processes. Higher complexity led to less overall satisfaction, but none of the other satisfaction variables yielded significant results. In addition, there were no significant findings with regard to preferences for collaboration. Multiple linear regressions were conducted to better understand individual difference variables on decision processing. Restoration orientation coping, loss orientation coping, and task complexity were found to be significant for decision processing and satisfaction measures. Future studies should aim to develop decision aids for this particular population so that they are able to make better decisions.
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Karlsson, Marie, and Linda Kraufvelin. "Decision Making under Uncertainty and Complexity : A study of young investors’ decision to buy warrants." Thesis, Linköping University, Department of Management and Engineering, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-53045.

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Background: A warrant is a derivative that is normally issued over stocks. During the last financial crisis, the trading of warrants reached new records. The high leverage and the complexity of the product make the warrant a risky investment. Financial products such as warrants therefore imply a significant purchase decision for an individual and the consequences of making a poorly thought-out choice can be of considerable importance. Financial products require a high degree of involvement since the decision process is characterized by uncertainty of outcome and complexity of the product. Traditional theories on consumer decision making build on the assumptions of self-interest and rationality. In the context of financial services, the rationality of the decision process has been questioned within the field of behavioral economics, a field that suggests that the consumer is unable to make rational decisions as well as comparative judgments.

Purpose: With a theoretical basis in the traditional consumer decision process, the purpose of this thesis is to examine and describe the decision making of young investors that buy warrants.

Methodology: The study can be described as abdicative, since the subject of this thesis is based on an empirical problem observed in reality as well as based on existing theories on the subject. The thesis is furthermore a mixed qualitative and quantitative study. The empirical information was gathered using an Internet survey that was sent out to young investors that are members or are connected to financial associations or societies at different universities.

Results: The study is considered to show that the decision making of young investors can be described as neither optimal nor rational when buying warrants. The respondents seldom seem to make efficient and as rational decisions as the traditional decision process model implies. Instead, individual characteristics and attitudes of the young investors affect their decision making.

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Orellana, Salomon E. "Coping with policy-making complexity electoral institutions, diversity, and policy problem-solving /." Diss., Connect to online resource - MSU authorized users, 2008.

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Chinburapa, Vijit. "Physician prescribing decisions: The effects of situational involvement and task complexity on information acquisition and decision-making." Diss., The University of Arizona, 1991. http://hdl.handle.net/10150/185478.

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This research utilized a structural analysis of final judgment and a process-tracing method to examine the effects of situational involvement and task complexity on information acquisition and the decision-making process. In addition, the predictive accuracy of the linear model in predicting drug choice across decision situations was assessed. A contingency model for the selection of decision strategies based on a cost/benefit principle was used as a framework in the study. A randomized mixed model factorial design was conducted in which a sample of forty-eight physicians, recruited from the University Medical Center at the University of Arizona, indicated their preferences and choices for hypothetical anti-infective drugs. Subjects were randomly assigned to experimental and control groups. Subjects in the experimental group were told via the written scenario to assume that his/her decision would be reviewed and evaluated by peers and (s)he would be asked to justify drug choice. No mention of peer review was made in the scenario used by the control group. Subjects in both groups were required to perform the two choice tasks and conjoint ranking task. The number of drug alternatives in a choice set was varied between three and six alternatives. The Mouselab program was used to monitor physicians' information acquisition behavior. The measures concerning the amount of information searched, order, duration, direction of search, and the chosen alternative were observed. The conjoint LINMAP program was used to estimate drug attribute importance weights. Results of the study provide support that the information acquisition and decision-making process is contingent on the characteristics of decision tasks. A significant number of subjects shifted from using compensatory to noncompensatory decision-making processes when task complexity increased. The study did not find support for the effects of situational involvement on the decision-making process. However, subjects in the two groups were found to differ in choice outcomes and the attention given to specific drug attribute information. Finally, the study found support for the robustness of the linear models in predicting drug choice across contexts.
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Prosser, Diane Johnson. "Cognitive complexity, problem solving skill, and career decision making : a structural equation model /." The Ohio State University, 1989. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487675687174987.

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Babaeizadeh, malmiry Roozbeh. "Managing Complexity and Uncertainty by a Modelling Approach for Decision Making in Integrated Product/Process Design." Thesis, Paris, ENSAM, 2016. http://www.theses.fr/2016ENAM0035/document.

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L'objectif principal lors de la conception et du développement de produits est d'augmenter la valeur de ceux-ci. La Valeur comprend deux aspects : la qualité et le coût. Afin de prendre en compte ces deux aspects, cette thèse se focalise sur la conception intégrée des produits et des processus, et en particulier sur la complexité du processus de conception et les incertitudes associées. Cette thèse propose une approche de modélisation systématique pour maitriser les incertitudes et gérer la complexité. Cette approche comprend deux phases: détermination du modèle et analyse du système. La première phase contient deux propositions : une approche de modélisation de produits basée sur la modélisation des flux d'énergie dans le cadre méthodologique Characteristics-Properties Modelling (CPM). Cette approche donne un cadre qui permet de facilité la transition d’une vue fonctionnelle à une vue structurelle associée à une modélisation quantitative. La seconde proposition porte sur l’aide du concepteur lors de la conception concurrente (IPPD) où à la fois les performances et les coûts sont pris en compte. Cette approche est basée sur le flux du processus en respectant le même cadre (CPM), elle donne aussi un cadre pour la transition fonctionnelle / structurelle. Les modélisations structurelles quantitatives permettent l’analyse de sensibilité, l’analyse des tolérances et l'optimisation. L’application de l'approche est démontrée par une étude de cas industriel.Grâce à cette approche, les caractéristiques modifiables et pertinentes du produit peuvent être déterminées. Le tolérancement peut être intégré dans le processus de conception et son impact sur la performance du produit peut être analysé. Les relations quantitatives du produit, du processus sont identifiées. Les incertitudes dans les relations et dans toutes les étapes de la modélisation peuvent être élicitées et maitrisées. Cette approche systématique donne un cadre pour le concepteur à travers le processus de conception pour prendre des décisions dans tous les niveaux de décomposition sur la base de la fonction requise et le coût de fabrication. L'approche est applicable tant pour la modélisation d'un produit existant (une approche d'optimisation), tant pour la modélisation d'un nouveau produit (phase de conception conceptuelle)
The main objective in product design and development is to increase the value of a product. Value includes two aspects of quality and cost. In order to take into account both aspects, this thesis aims at Integrated Product and Process Design, especially on product design complexity and its inherent (associated) complexities. This thesis proposes a systematic modelling approach to reduce uncertainty and manage complexity. The approach includes two phases: model determination and system analysis. The first phase contains two propositions: first, a product modelling approach based on energy flow modelling in the framework of Characteristics-Properties Modelling (CPM). This approach gives a modelling framework for a smoother transition from functional to structural views, with a quantitative modelling. The second proposition is to help the designer for decision making in concurrent designing (IPPD) where both performance and cost are taken into account. This approach is based on the process flows in the same framework (CPM). The second phase is to use the determined model of phase 1 to analyse the system. So, phase 2 includes sensitivity analysis, tolerance analysis and optimisation. An application of the approach is demonstrated through an industrial case study.Thanks to this approach, effective modifiable characteristics of the product on its performance are determined. Tolerancing can be integrated in design process and its impact on the product performance can be analysed. Quantitative links in product, in process and between product elements and process elements are identified. Uncertainty in the links and every step of modelling can be elicited and managed. This systematic approach gives a pathway to the designer through the design process to make decisions in every level of decomposition based on the required function and cost of manufacturing. The approach is applicable for both modelling an existing product (optimisation approach) and modelling a new product (conceptual design phase)
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Grobler, Schalk Willem. "Organisational structure and Elliot Jaques' stratified systems theory." Unisa, 2005. http://hdl.handle.net/10500/146.

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Conduct an exploratory study on operationally focussed managers within a South African company, using both quantitative and qualitative analysis, to determine the correlation between the required and actual levels of complexity and time-span of control at specific hierarchical levels
Organisational design needs to be in line with capabilities of the individual-inrole. The structure of an organization directly impacts the overall effectiveness and ultimately the success of such an organization and the number of layers required in any given hierarchy is a product of the organization’s mission (Jaques, 1989). Stratified Systems Theory (Jaques, 1989) defines work in seven strata based on a basis of decision-making complexity. The research presented here identifies a specific organisation’s current level of work based on complexity and the time-span of decision-making. Research was done in one specific geographical region of a company operating in the Supply Chain and Logistics industry in South Africa. Qualitative data collection was done by means of interviews with a defined sample group that provided an adequate cross-section of the main functions of the business, however, the sampling technique used may not provide results representative of the entire population. ii The Brunel Institute for Organisation and Social Studies’ (BIOSS) Matrix of Working Relationships was used as main basis for reporting results. The research indicates that the organisation is presently, according to Jaques Stratified Systems Theory (Jaques, 1989), operating at one level below their intended level that will allow them to effectively meet their longterm strategic objectives. The report identifies shortcomings in terms of the current capabilities of the individual-in-role and the actual work requirements, setting a foundation for further analysis of individual capabilities for effective organisational design.
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Books on the topic "Complexity of decision making"

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Harding, Ronnie. Environmental decision-making: Exploring complexity and context. Annandale, NSW: Federation Press, 2009.

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M, Hendriks Carolyn, and Faruqi Mehreen, eds. Environmental decision-making: Exploring complexity and context. Annandale, NSW: Federation Press, 2009.

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service), SpringerLink (Online, ed. Average Time Complexity of Decision Trees. Berlin, Heidelberg: Springer-Verlag GmbH Berlin Heidelberg, 2011.

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Shakun, Melvin F. Evolutionary systems design: Policy making under complexity and group decision support systems. Oakland, Calif: Holden-Day, 1988.

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Cities and complexity: Making intergovernmental decisions. Thousand Oaks: Sage Publications, 1999.

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Faggini, Marisa, and Concetto Paolo Vinci. Decision theory and choices: A complexity approach. Edited by Abatemarco Antonio, Aiello Rossella, Arecchi F. T, Biggiero Lucio 1955-, Bimonte Giovanna, Bruno Sergio 1941-, Chiarella Carl, et al. Milan: Springer Verlag Italia, 2010.

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Public management and complexity theory: Richer decision-making in public services. New York: Routledge, 2011.

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Saaty, Thomas L. Decision making with dependence and feedback: The analytic network process : the organization and prioritization of complexity. 2nd ed. Pittsburgh, PA: RWS Publications, 2001.

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Decision making with dependence and feedback: The analytic network process : the organization and prioritization of complexity. Pittsburgh, PA: RWS Publications, 1996.

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Subimal, Chatterjee, ed. Decision difficulty in bundle choice: The role of complexity, uniqueness, and similarity. Cambridge, MA: Marketing Science Institute, 2002.

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Book chapters on the topic "Complexity of decision making"

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Słowiński, Roman, Salvatore Greco, and Benedetto Matarazzo. "Rough Sets in Decision Making." In Computational Complexity, 2727–60. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1800-9_168.

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Wagner, Daniel, and Dante Disparte. "Complexity Reduction." In Global Risk Agility and Decision Making, 67–94. London: Palgrave Macmillan UK, 2016. http://dx.doi.org/10.1057/978-1-349-94860-4_4.

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Qudrat-Ullah, Hassan. "Decision Making and Learning in Dynamic Tasks." In SpringerBriefs in Complexity, 1–8. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28166-3_1.

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Qudrat-Ullah, Hassan. "SDILEs in Service of Dynamic Decision Making." In SpringerBriefs in Complexity, 9–27. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28166-3_2.

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Qudrat-Ullah, Hassan. "Future Research Directions in Dynamic Decision Making." In SpringerBriefs in Complexity, 67–71. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28166-3_6.

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Slowinski, Roman, Salvatore Greco, and Benedetto Matarazzo. "Rough Sets in Decision Making." In Encyclopedia of Complexity and Systems Science, 7753–87. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_460.

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Słowiński, Roman, Salvatore Greco, and Benedetto Matarazzo. "Rough Sets in Decision Making." In Encyclopedia of Complexity and Systems Science, 1–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27737-5_460-3.

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Viegas, Jose M. "Uncertainty, Complexity and Decision-Making Processes." In The Management of Uncertainty: Approaches, Methods and Applications, 252–63. Dordrecht: Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4458-9_12.

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Andersen, Jørgen Vitting. "Investment Decision Making in Finance, Models of." In Encyclopedia of Complexity and Systems Science, 4971–83. New York, NY: Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-30440-3_296.

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Zalewski, Andrzej, and Szymon Kijas. "Architecture Decision-Making in Support of Complexity Control." In Software Architecture, 501–4. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15114-9_50.

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Conference papers on the topic "Complexity of decision making"

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BOLOGNA, MAURO, ELVIS GENESTON, PAOLO GRIGOLINI, MALGORZATA TURALSKA, and MIRKO LUKOVIC. "COHERENCE AND COMPLEXITY." In DECISION MAKING - A Psychophysics Application of Network Science. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814365826_0007.

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Giani, Umberto. "Measurement, complexity and clinical decision-making." In 2011 IEEE International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2011. http://dx.doi.org/10.1109/memea.2011.5966783.

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WEST, BRUCE J., and PAOLO GRIGOLINI. "THE PRINCIPLE OF COMPLEXITY MANAGEMENT." In DECISION MAKING - A Psychophysics Application of Network Science. WORLD SCIENTIFIC, 2011. http://dx.doi.org/10.1142/9789814365826_0010.

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Yingchao, Zhang. "System of Systems complexity and decision making." In 2012 7th International Conference on System of Systems Engineering (SoSE). IEEE, 2012. http://dx.doi.org/10.1109/sysose.2012.6384133.

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Kulkarni, Vinay, Souvik Barat, Tony Clark, and Balbir Barn. "Toward overcoming accidental complexity in organisational decision-making." In 2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS). IEEE, 2015. http://dx.doi.org/10.1109/models.2015.7338268.

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Skyrius, Rimvydas. "Business Decision Making." In 2001 Informing Science Conference. Informing Science Institute, 2001. http://dx.doi.org/10.28945/2368.

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Significant recent research in the decision support area has been concentrating on the human side of the person-technology relation. Knowledge, perceptions, beliefs and experiences have been researched in a number of works. The author has used individual interviews with business decision makers to find out their attitudes towards factors influencing the quality of business decisions. The issues discussed included features of actual right and wrong decisions, role of information sources and analytical tools, factors influencing creativity, and the role of information technology. The findings have shown that in the decision making process, available knowledge is used and new knowledge is created, and these processes are preferred to be supported by simple yet efficient support tools. The information environment surrounding business activities is getting increasingly complex. The important reasons for this complexity are: growing volumes of information of potential relevance to certain business activities; increasing number of sources of such information; and multiplying technologies for handling data and information. This is particularly true for decision making which has to encompass all relevant data, information and decision maker's knowledge to make quality decisions. Alongside with technologies for handling data and information, lately much attention has been given to knowledge management (KM) models and relations between data, information and knowledge. In knowledge-intensive activities, such as decision support, these relationships are important in terms of efficient utilisation of information resources, and especially those supported and facilitated by IT with its present capabilities. The aim of this paper is to take a look at the relations between data, information and knowledge in the context of managerial decision making, and professional learning and experience. These issues are discussed on the basis of surveys and interviews, conducted among small and medium enterprise (SME) decision makers in Lithuania in 1997-1999. The key questions of the survey have been: how important IT has become for management activities, regarding in the first place decision support, and how does it affect creativity and knowledge development. The synergy between technology and the user has been recognized to work in the areas such as using existing experiences and creating new ones on a problem and decision; working out the decision schema; stimulating creativity; capturing the details and specifics of the decision process for further uses. While IT is and can be efficiently used to manage data and information, the actual use of what is in decision support environment sometimes called stored knowledge - preprogrammed procedures for certain types of situations, sets of models, reusable queries - is rather limited. Instead, the survey has shown that decision makers prefer relatively simple tools and techniques that allow them to perform iterative buildup of decision support points towards a sufficient set to make a decision. Under a problem situation, existing practices are repeatedly tested. In the process, new associations and mental models may appear, expanding existing knowledge as well as creating new knowledge. The responses have shown that the presence of simple yet efficient decision support tools is welcome by the decision makers as having a potential to gain more with less - to provide more confidence and insurance from fatal decision mistakes, at the same time reducing the need to do extensive training, radically change existing beliefs or invest heavily into sophisticated technologies. In addition, such tools serve as support for managerial learning process and knowledge exchange, especially in the process of creativity stimulation where analogies, real-life and hypothetical situations, brainstorming and bias elimination techniques are used.
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Hassanien, Sherif, Ryan Sporns, Johana Gomez, and Jeff Liang. "Towards Effective Pipeline Integrity Decision Making Under Uncertain Environment." In 2014 10th International Pipeline Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/ipc2014-33263.

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Pipeline integrity operators often face the challenge of rendering critical decisions even when there is uncertainty in some portion of essential input data. The decision making process can be further complicated by multiple possible courses of integrity action, each of which may contain their own specific uncertainties. This paper presents a multi-attribute decision making process to assist integrity managers in prioritizing and selecting integrity activities necessary for maintaining the safety of their system The proposed approach tackles decisions/actions prioritization process of integrity solutions based on engineering analysis, logistical issues, and availability of the pipeline to deliver the intended capacity; all while maintaining an appropriate safety level. The complexity of some integrity decisions could be better represented through priority versus probability/reliability because there are elements whose contribution or influence is not probabilistic, but nevertheless are describable in terms of priorities. Hence, the proposed approach focuses on two types of uncertainties; uncertainty on available information, and uncertainty about the range of judgments used to express preferences of feasible integrity actions. Integrity actions can take different forms, including excavating a considerable amount of pipeline, applying point or discharge pressure restrictions, executing validation digs, increasing in line inspection frequency, running complimentary in-line inspection technologies, or some combination of these integrity actions. The complexity of optimizing integrity decision arises not only from uncertainties on information, but also from resource availability and feasibility of the various possible integrity actions.
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Hallo, Leonie, Indra Gunawan, and Tiep Nguyen. "System complexity leadership: The relationship between emotion and decision-making." In 2018 Annual IEEE International Systems Conference (SysCon). IEEE, 2018. http://dx.doi.org/10.1109/syscon.2018.8369540.

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Hamdani and Retantyo Wardoyo. "The complexity calculation for group decision making using TOPSIS algorithm." In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON SYNCHROTRON RADIATION INSTRUMENTATION – SRI2015. Author(s), 2016. http://dx.doi.org/10.1063/1.4958502.

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Schosser, Stephan, and Bodo Vogt. "What Automaton Model Captures Decision Making? The Necessity of Behavioral Complexity." In 2015 IEEE International Conference on Smart City/SocialCom/SustainCom (SmartCity). IEEE, 2015. http://dx.doi.org/10.1109/smartcity.2015.76.

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Reports on the topic "Complexity of decision making"

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Agrawal, Ajay, Joshua Gans, and Avi Goldfarb. Prediction, Judgment and Complexity: A Theory of Decision Making and Artificial Intelligence. Cambridge, MA: National Bureau of Economic Research, January 2018. http://dx.doi.org/10.3386/w24243.

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Leonard, Steven M. Clausewitz, Complexity, and Custer: An Analysis of Decision Making in a Nonlinear System. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada392118.

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Ackermann, Mark R., Nancy Kay Hayden, and George A. Backus. Complexity Science: A Mechanism for Strategic Foresight and Resiliency in National Security Decision-Making. Office of Scientific and Technical Information (OSTI), November 2017. http://dx.doi.org/10.2172/1409282.

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Streufert, Siegfried, and Robert W. Swezey. Aspects of Cognitive Complexity Theory and Research as Applied to a Managerial Decision Making Simulation. Fort Belvoir, VA: Defense Technical Information Center, September 1985. http://dx.doi.org/10.21236/ada161376.

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Lewis, Jeremy R. Using Commercial-off-the-Shelf Computer Games to Train and Educate Complexity and Complex Decision-Making. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada510008.

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Klein, Gary A. Analogical Decision Making. Fort Belvoir, VA: Defense Technical Information Center, December 1986. http://dx.doi.org/10.21236/ada178836.

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Sheaves, III, and William B. Decision Making and Decision System Technology. Fort Belvoir, VA: Defense Technical Information Center, April 1993. http://dx.doi.org/10.21236/ada264067.

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Brinkerhoff, Derick W., Sarah Frazer, and Lisa McGregor-Mirghani. Adapting to Learn and Learning to Adapt: Practical Insights from International Development Projects. RTI Press, January 2018. http://dx.doi.org/10.3768/rtipress.2018.pb.0015.1801.

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Adaptive programming and management principles focused on learning, experimentation, and evidence-based decision making are gaining traction with donor agencies and implementing partners in international development. Adaptation calls for using learning to inform adjustments during project implementation. This requires information gathering methods that promote reflection, learning, and adaption, beyond reporting on pre-specified data. A focus on adaptation changes traditional thinking about program cycle. It both erases the boundaries between design, implementation, and evaluation and reframes thinking to consider the complexity of development problems and nonlinear change pathways.Supportive management structures and processes are crucial for fostering adaptive management. Implementers and donors are experimenting with how procurement, contracting, work planning, and reporting can be modified to foster adaptive programming. Well-designed monitoring, evaluation, and learning systems can go beyond meeting accountability and reporting requirements to produce data and learning for evidence-based decision making and adaptive management. It is important to continue experimenting and learning to integrate adaptive programming and management into the operational policies and practices of donor agencies, country partners, and implementers. We need to devote ongoing effort to build the evidence base for the contributions of adaptive management to achieving international development results.
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Johannesen, Odma, and Hans Lassen. Decision-making management procedures. Nordic Council of Ministers, March 2014. http://dx.doi.org/10.6027/tn2014-532.

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Schultz, Martin T., Keneth N. Mitchell, Brian K. Harper, and Todd S. Bridges. Decision Making Under Uncertainty. Fort Belvoir, VA: Defense Technical Information Center, November 2010. http://dx.doi.org/10.21236/ada534878.

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