Relevant bibliographies by topics / Decision-making processe

Academic literature on the topic 'Decision-making processe'

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Published: 14 March 2023

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Journal articles on the topic "Decision-making processe"

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Bussolotto, Daniel, Leonardo Da Costa Bagattini, and Maria Emília Camargo. "CONTRIBUTION OF STRATEGIC INFORMATION DISTRIBUTION TO THE DECISION MAKING PROCESSES - AN EMPIRICAL." International Journal for Innovation Education and Research 9, no. 10 (October 1, 2021): 131–44. http://dx.doi.org/10.31686/ijier.vol9.iss10.3422.

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As an organizational asset, data is one of the great sources of competitive advantage of organizations, so that its publication and storageg, aligned with the organizations' strategic and operational metrics, has become a matter of great discussion and concern among decision makers. This study aims to carry out a study about the contributions of the strategic distribution of information to decision-making processes in organizations. The methodology used, of an exploratory qualitative nature, applied the study of multiple cases, through the collection and analysis of data from semi-structured interviews with several employees of organizations that use tools for collecting, processing and disseminating information. The research shows how the information and technologies applied to its treatment collaborate with decision-making processe.
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SILVA, M. M. D., and L. B. SANTOS. "O PROCESSO DECISÓRIO: A SISTEMATIZAÇÃO DO PROCESSO DECISÓRIO PARA TOMADAS DE DECISÃO MULTICRITÉRIO." Revista SODEBRAS 15, no. 169 (January 2020): 185–89. http://dx.doi.org/10.29367/issn.1809-3957.15.2020.169.185.

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Bocian, Anna. "The Style As a Factor of Office Building Concentration Locations in European Cities." Civil And Environmental Engineering Reports 24, no. 1 (March 28, 2017): 5–20. http://dx.doi.org/10.1515/ceer-2017-0001.

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Abstract Where should office building concentrations be located in cities? What kind of factors has an influence on its locations? The aim of the research is to examine factors of office locations in cities. Selected office building concentrations in European cities were investigated as case studies. The research method was the spatial decision paradigm. The style, one of the main elements of the paradigm, was selected to answer the research question. The style was defined a composition of existing urban structures. Basic elements of urban composition in selected European cities were examined closely. Research results are conditions of office building concentration locations in European cities in term of urban composition. Such knowledge should be a base of decision-making processe during preparing master plans and city development plans.
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Nor Cahya Ningtias, Kinanda, and Embun Duriany Soemarso. "ANALISIS PENGARUH BAURAN PEMASARAN TERHADAP PENGAMBILAN KEPUTUSAN MENABUNG BRITAMA PADA PT BANK RAKYAT INDONESIA (PERSERO), Tbk CABANG PEMBANTU PURI ANJASMORO SEMARANG." KEUNIS 7, no. 1 (August 26, 2019): 20. http://dx.doi.org/10.32497/keunis.v7i1.1530.

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<p><em>This study aims to determine the significance of marketing mix variables consisting of product, price, promotion, place, people, processe, and physical evidence of BritAma saving decision making at PT Bank Rakyat Indonesia (Persero), Branch of Puri Anjasmoro Semarang.</em></p><p><em> This study uses primary data from the distribution of questionnaires and secondary data from book literature and research journals. The population of this research is all the savings customers of BritAma PT Bank Rakyat Indonesia (Persero), Tbk Branch of Puri Anjasmoro Semarng. Sampling technique in this research is purposive sampling and accidental sampling. Data analysis method in this research is Multiple Linear Regression Analysis Model. Besides, data quality test in this research is done by using validity test and reliability test, and classical assumption test in the form of normality test, heteroskedasticity test, and multicolonierity test. In this study used data analysis techniques in the form of F test, t test, and coefficient of determination (R2). </em></p><p><em>Based on the results of the analysis and discussion shows that the product, price, promotion, place, person, process, and physical evidence simultaneously significantly influence the decision of saving BritAma at PT Bank Rakyat Indonesia (Persero), Tbk Branch of Puri Anjasmoro Semarang. While partially there are only four variables that have a significant effect on Britama saving decision making is the product, promotion, place, and process. For the other three variables are price, people, and physical evidence have no significant effect on the decision of saving BritAma at PT Bank Rakyat Indonesia (Persero), Tbk Branch of Puri Anjasmoro Semarang.</em></p>
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Farjam, Sanaz, and Xu Hongyi. "Revising Students’ Decision-making Process." International Journal of Management Science and Business Administration 1, no. 10 (2015): 70–78. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.110.1006.

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One of the major concerns of marketing researchers is to analyze customer’s decision-making process. Given the significance of “students as customers” concept in Higher Education (HE), it seems necessary to study this process. In this paper, we reviewed studies related to decision-making process of students, then, revised models that discussed this issue. We found many factors that affect this process from different points of view. This paper attempts to provide guidance for further investigation in this area.
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Ungureanu, George, and Gabriela Ignat. "The Decision Making Process in SMeS." Paripex - Indian Journal Of Research 3, no. 4 (January 15, 2012): 1–4. http://dx.doi.org/10.15373/22501991/apr2014/89.

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Velea, Marian N., and Simona Lache. "Decision Making Process on Multi-Objective Optimization Results." International Journal of Materials, Mechanics and Manufacturing 4, no. 3 (2015): 213–17. http://dx.doi.org/10.7763/ijmmm.2016.v4.259.

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Agayev, F. B. "Analytical support of the procedural decision-making process." Mathematical machines and systems 4 (2020): 20–32. http://dx.doi.org/10.34121/1028-9763-2020-4-20-32.

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In the process of legal research, private scientific methods are developed and used to study legal reality, such as the method of comparative jurisprudence, the method of interpretation (explanation) and the formal legal method. However, at the present stage of legal research, it is impossible to be limited only by these methods. Even legal scholars who consistently defend the status of dogmatic jurisprudence recognize that the application of these methods, with all their merits, sets a limiting framework in un-derstanding the practical action of positive law and the originality of its theoretical vision. Nevertheless, the application of these methods in the study of legal reality allows us to draw a conclusion about the general trends in the development of evaluative concepts that are fundamental in civil procedural law. It is offered an approach to the formation of a system of information support of procedural decision-making based on the application of fuzzy inference mechanism implemented in the logical basis of the feedforward multilayer neural network. Under this approach, a method to overcome the semantic uncer-tainty in the evaluation terms of procedural law is developed by using appropriate terms (fuzzy sets) of corresponding linguistic variables. As an example it is selected the Articles on “Violation of copyright or neighboring rights” of the Criminal Code of the Azerbaijan Republic based on which has been proposed formalism for the evaluation concept of “significant harm” in relation to the sanction applied. For mak-ing an adequate to evaluation concept notion it is proposed grading scale of possible sanctions, obtained on the basis of the description of the relevant legal norms in terms of fuzzy implicative rules.
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Rajput, Virendra, and Dr A. C. Shukla Dr.A.C.Shukla. "Decision-Making using the Analytic Hierarchy Process (AHP)." International Journal of Scientific Research 3, no. 6 (June 1, 2012): 135–36. http://dx.doi.org/10.15373/22778179/june2014/47.

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Pereira, Ana Cristina, and Angela Sofia Ferrari Nunes. "O processo decisório subsidiado por informações de custos." O Mundo da Saúde 2011, no. 3 (September 30, 2011): 258–69. http://dx.doi.org/10.15343/0104-7809.20113258269.

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Dissertations / Theses on the topic "Decision-making processe"

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VASSONEY, ERICA. "Multi-criteria decision-making (MCDM) for the sustainable management of water withdrawals in Alpine watercourses." Doctoral thesis, Politecnico di Torino, 2022. https://hdl.handle.net/11583/2973093.

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Antonietta, Fracchiolla. "Il Dirigente scolastico italiano e la governance: principi guida, identità professionale e attività." Doctoral thesis, Urbino, 2020. http://hdl.handle.net/11576/2680421.

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Tonelli, Marcello. "Unstructured strategic decision-making processes : CRE decision-making in the Italian consulting industry." Thesis, Queensland University of Technology, 2009. https://eprints.qut.edu.au/30408/1/Marcello_Tonelli_Thesis.pdf.

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This thesis aims at developing a better understanding of unstructured strategic decision making processes and the conditions for achieving successful decision outcomes. Specifically it focuses on the processes used to make CRE (Corporate Real Estate) decisions. The starting point for this thesis is that our knowledge of such processes is incomplete. A comprehensive study of the most recent CRE literature together with Behavioural Organization Theory has provided a research framework for the exploration of CRE recommended =best practice‘, and of how organizational variables impact on and shape these practices. To reveal the fundamental differences between CRE decision-making in practice and the prescriptive =best practice‘ advocated in the CRE literature, a study of seven Italian management consulting firms was undertaken addressing the aspects of content and process of decisions. This thesis makes its primary contribution by identifying the importance and difficulty of finding the right balance between problem complexity, process richness and cohesion to ensure a decision-making process that is sufficiently rich and yet quick enough to deliver a prompt outcome. While doing so, this research also provides more empirical evidence to some of the most established theories of decision-making while reinterpreting their mono-dimensional arguments in a multi-dimensional model of successful decision-making.
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Koskinen, P. (Pentti). "Decision-making process on field technology for process management." Doctoral thesis, University of Oulu, 2000. http://urn.fi/urn:isbn:9514257855.

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Abstract Intelligent field technology is being developed for the management of industrial processes, but its development and diffusion have met with problems. This research looks at the problem area from the perspective of industrial decision-makers and end users. The lowest level of process management consists of various electrical, pneumatic and hydraulic devices, using analog and digital signals. In this research the term 'field technology' refers to instrumentation and electrical devices, the communication between them, alarm and registration devices, programs, functions and process management methods. Important concepts in this connection are distribution, availability performance, usability, feasibility and degree of automation. Decision-making and hermeneutical methodologies have been used as research strategies. The leading idea is to provide support to industrial decision-makers and end users involved in the design and planning of processes, field technology and management systems. The research strategy is applied in all parts of the research: methods, historical review, decision-making support model and criteria, and when studying the diffusion of innovations. The objective is to experimentally verify the decision-making models. This was accomplished by means of multiple-choice questionnaires, example and case process surveys, and by collecting information on intelligent field technology. The target group of the research consisted of 50 decision-makers and end users from 20 factories, and the response percentage varied from 28% to 47%. The study of the example and case processes contains contributions from 13 key persons from the factories. Field technology knowledge has been obtained from a number of experts and sources. The results have been employed to verify the current multivariable decision-making model and its technological and economic subcriteria and decision-making criteria (1), as well as the expanded multivariable decision-making model based on the features of intelligent field technology (2). The most significant parameters of the example processes are described (3). The typical characteristics, operations, input and output materials of the case processes and their parameters are examined and assessed (4). A proposal for intelligent field technology solutions will also be made (5). The decision-making support model is an excellent tool in situations involving technological changes. The current set of decision-making criteria will have to change and expand due to the concepts, operations and changes introduced by new, intelligent field technology. Changes will occur in the communication protocol interfaces, in the data processing of field devices, in diagnostic operations and operation management. Suitable decision-making tools include development and decision databases, lifelong learning, human and electronic information networks, the decision-making support model, and benchmarking. In the future, investments will focus on the acquisition and maintenance of field technology. Intelligent field technology is more expensive, and thus automation design requires more economic and human resources during the diffusion phase; its economic benefits will become more apparent when it gains more ground and the users' skills and expertise increase. Industrial enterprises must actively seek to promote the diffusion of innovations. The current research has also brought up numerous topics that would merit further research.
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Lou, Wei Wei. "A Non-decision-reaching Decision-making process." PDXScholar, 1995. https://pdxscholar.library.pdx.edu/open_access_etds/1193.

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Decision-making processes are among the most important activities within human organizations. This dissertation is a case study of decision-making in the review of high school graduation standards in an urban school district. The review process lasted three years and was terminated before any decision was reached concerning graduation standards. The purpose of this study is to answer three questions: Why would a decision-making process be terminated before any results are achieved? Under what circumstances do decision makers choose to let the process die? What do such decision making processes reveal about the organization? This case study employs the rational choice model, the process model, and the organizational decision-making model. These three models are constructed within the theoretical frameworks of systems science, sociology, and political science, and also draw upon the literatures of education reform and organization theory. Define a NDR (non-decision-reaching) decision-making process as one which produces no outcome. The rational choice model suggests that the NDR outcome in this case was the best alternative under the circumstances. Two obstacles, insufficient resources and external uncertainties, were identified as important factors which led decision makers to choose the NDR outcome over other alternatives. The process model suggests that a decision outcome may not be necessary in many organizational decision-making processes, as the process itself is often significant and sufficient. The process accommodates, to some extent, the interests of the decision makers even without a definite outcome. The organizational decision-making model posits that organizational rules and procedures dictate decision-making processes, and that organizational interests will determine the nature and the outcome of such processes. In this model the NDR outcome is the result of organizational interests that no decision be reached. The conclusions of this case study indicate that a loose structural relationship among the decision makers was a major cause of the NDR outcome. In addition, the decision makers had never fully reconciled their differences regarding the nature of the decision problem. The changing environment of public education is also identified as a factor leading to the NDR outcome.
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ARURKAR, TEJAS PRAKASH. "ACCELERATED CONSTRUCTION DECISION MAKING PROCESS." University of Cincinnati / OhioLINK, 2006. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1155814743.

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Miller, Casey J. "The PRC decision-making process." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://sirsi.nps.navy.mil/uhtbin/hyperion-image/02Mar%5FMillerC.pdf.

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McInerney, Robert E. "Decision making under uncertainty." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:a34e87ad-8330-42df-8ba6-d55f10529331.

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Operating and interacting in an environment requires the ability to manage uncertainty and to choose definite courses of action. In this thesis we look to Bayesian probability theory as the means to achieve the former, and find that through rigorous application of the rules it prescribes we can, in theory, solve problems of decision making under uncertainty. Unfortunately such methodology is intractable in realworld problems, and thus approximation of one form or another is inevitable. Many techniques make use of heuristic procedures for managing uncertainty. We note that such methods suffer unreliable performance and rely on the specification of ad-hoc variables. Performance is often judged according to long-term asymptotic performance measures which we also believe ignores the most complex and relevant parts of the problem domain. We therefore look to develop principled approximate methods that preserve the meaning of Bayesian theory but operate with the scalability of heuristics. We start doing this by looking at function approximation in continuous state and action spaces using Gaussian Processes. We develop a novel family of covariance functions which allow tractable inference methods to accommodate some of the uncertainty lost by not following full Bayesian inference. We also investigate the exploration versus exploitation tradeoff in the context of the Multi-Armed Bandit, and demonstrate that principled approximations behave close to optimal behaviour and perform significantly better than heuristics on a range of experimental test beds.
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Heller, Collin M. "A computational model of engineering decision making." Thesis, Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50272.

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The research objective of this thesis is to formulate and demonstrate a computational framework for modeling the design decisions of engineers. This framework is intended to be descriptive in nature as opposed to prescriptive or normative; the output of the model represents a plausible result of a designer's decision making process. The framework decomposes the decision into three elements: the problem statement, the designer's beliefs about the alternatives, and the designer's preferences. Multi-attribute utility theory is used to capture designer preferences for multiple objectives under uncertainty. Machine-learning techniques are used to store the designer's knowledge and to make Bayesian inferences regarding the attributes of alternatives. These models are integrated into the framework of a Markov decision process to simulate multiple sequential decisions. The overall framework enables the designer's decision problem to be transformed into an optimization problem statement; the simulated designer selects the alternative with the maximum expected utility. Although utility theory is typically viewed as a normative decision framework, the perspective in this research is that the approach can be used in a descriptive context for modeling rational and non-time critical decisions by engineering designers. This approach is intended to enable the formalisms of utility theory to be used to design human subjects experiments involving engineers in design organizations based on pairwise lotteries and other methods for preference elicitation. The results of these experiments would substantiate the selection of parameters in the model to enable it to be used to diagnose potential problems in engineering design projects. The purpose of the decision-making framework is to enable the development of a design process simulation of an organization involved in the development of a large-scale complex engineered system such as an aircraft or spacecraft. The decision model will allow researchers to determine the broader effects of individual engineering decisions on the aggregate dynamics of the design process and the resulting performance of the designed artifact itself. To illustrate the model's applicability in this context, the framework is demonstrated on three example problems: a one-dimensional decision problem, a multidimensional turbojet design problem, and a variable fidelity analysis problem. Individual utility functions are developed for designers in a requirements-driven design problem and then combined into a multi-attribute utility function. Gaussian process models are used to represent the designer's beliefs about the alternatives, and a custom covariance function is formulated to more accurately represent a designer's uncertainty in beliefs about the design attributes.
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Palau, Ortin David. "Dynamics of cellular decision making processes." Doctoral thesis, Universitat de Barcelona, 2016. http://hdl.handle.net/10803/396084.

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Cells, either as unicellular organisms or as part of a tissue of a multicellular organism, can acquire different functions thanks to their capability of changing their expression state. The enzyme synthesis, cell division or cell differentiation are some examples of these functions. The turning on and off of them lie in the mechanisms by which cells are able to integrate the information they perceive from the environment. Frequently, cells exhibit different responses under the same stimulus or environment. These probabilistic processes, whose behaviours are not univocal, are known as "cellular decision making". We can classify these processes according to the range at which the decision is made. We denominate cell-autonomous decision those in which of each cell chooses its response independently of the choice of the other cells of the population. By contrast, if the decision is made collectively by the whole population, it is classified as non autonomous. This second type of decisions involve mechanisms of cell-to-cell communication that mediate in the choices the cells and so, some spatial distributions of the different cell states can arise. The capability of cellular decision making processes of performing a variety of responses under a same signal is given by the multistability and the stochasticity of their dynamics. While multistability is underlain by the nonlinear interactions of the elements involved in genetic regulation, stochasticity arises from the discrete nature of biochemical reactions and the thermal fluctuations of the cellular environment. These two characteristics motivate the study of these processes from Systems Dynamics the point of view, by identifying cell states with system attractors. This Thesis focuses on the study of the general dynamical mechanisms that control cellular decision making processes. The main goal is to connect the properties of the decision with the relevant dynamical behaviour of the system while it is being made. We have analysed the properties of cellular decisions in two systems: a system with cell-autonomous dynamics, where cells choose their state regardless the choice of the others; and a system where the decision is made jointly by all the tissue. In this second system, cells interact through a cell-to-cell communication that takes place at first neighbours. From these interactions, different pattern solutions arise, where different different cell types are spatially distributed along the tissue. Finally, it has been analysed the role that a specific choice, whose probability value is well known, plays in the functionality of an organism. The chosen system to study these consequences has been a process of differentiation that the parasite that causes malaria in humans performs.
Cada célula, ya se como organismo unicelular o formando parte de un organismo multicelular, tiene que desarrollar distintas funciones a lo largo de su vida. Algunos ejemplos de estas funciones son tales como la síntesis de encimas, dividirse o diferenciarse en otro tipo celular. La activación y desactivación de muchas de estas funciones está sujeta a la integración de la información que la célula percibe de su entorno. A menudo, las células exhiben respuestas distintas bajo un mismo estímulo o bajo unas mismas condiciones del entorno. Estos procesos probabilísticos son conocidos como "toma de decisiones celulares". Estos eventos celulares se puede desarrollar de forma autónoma por cada célula, o de forma colectiva por toda una población o tejido. En este segundo caso, se requiere de algún mecanismo que medie en la comunicación entre células. Esta capacidad de estos sistemas de producir una variedad de respuestas es otorgada por la multiestabilidad y estocasticidad de sus dinámicas. Estas características motivan el estudio de estos procesos desde la perspectiva de la Dinámica de Sistemas, identificando los estados celulares a los atractores del sistema. Esta Tesis se centra en el estudio de los mecanismos dinámicos genéricos que controlan la toma de decisiones celulares. Se ha caracterizado la conexión entre las propiedades de una decisión y el mecanismo subyacente que la genera. Dos tipos decisiones autónomas han sido analizadas de acuerdo a esta perspectiva. También se ha estudiado los mecanismos dinámicos que llevan a la selección de un patrón espacial concreto en un escenario de decisión no autónoma, en el que las células interactúan entre sí a primeros vecinos mediante una inhibición lateral. Estas decisiones han revelado como la simetría especial de la señal inductora de las mismas afecta a la solución final alcanzada por el tejido. Finalmente, se ha analizado el papel que la probabilidad de una decisión concreta y bien conocida puede desarrollar en la viabilidad del organismo implicado. El sistema de estudio escogido ha sido un proceso de diferenciación que lleva a cabo el parásito responsable de causar la malaria en humanos.
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Books on the topic "Decision-making processe"

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Bouyssou, Denis, Didier Dubois, Marc Pirlot, and Henri Prade, eds. Decision-making Process. London, UK: ISTE, 2009. http://dx.doi.org/10.1002/9780470611876.

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Service, Educational Testing, ed. Decision-making process. Princeton, N.J: Educational Testing Service, 1989.

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Alarie, Benjamin. Judicial decision-making. Toronto]: Faculty of Law, University of Toronto, 2014.

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Alarie, Benjamin. Judicial decision-making. Toronto]: Faculty of Law, University of Toronto, 2014.

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Abella, Rosalie S. Judicial decision-making. [Toronto: Faculty of Law, University of Toronto, 2000.

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Spiller, Pablo T. Strategic judicial decision making. Cambridge, Mass: National Bureau of Economic Research, 2007.

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Mohn, Paul O. Decision making processes in cooperatives. Cork: UCC Centre for Co-operative Studies, 1986.

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The managerial decision-making process. 4th ed. Boston: Houghton Mifflin, 1995.

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Canadian Environmental Assessment Research Council. EIS process and decision making. Ottawa, Ont: Canadian Environmental Assessment Research Council = Conseil canadien de la recherche sur l'évaluation environnementale, 1990.

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Harrison, E. Frank. The managerial decision-making process. 5th ed. Boston: Houghton Mifflin, 1999.

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Book chapters on the topic "Decision-making processe"

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Versluis, Esther, Mendeltje van Keulen, and Paul Stephenson. "Decision Making." In Analyzing the European Union Policy Process, 154–79. London: Macmillan Education UK, 2011. http://dx.doi.org/10.1007/978-1-137-10001-6_8.

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Walker, Ronald A. "Decision-Making Processes." In Multilateral Conferences, 159–72. London: Palgrave Macmillan UK, 2004. http://dx.doi.org/10.1057/9780230514423_10.

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Ilankovan, Velupillai, Madan Ethunandan, and Tian Ee Seah. "Decision-Making Process." In Local Flaps in Facial Reconstruction, 63–64. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-08479-4_4.

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Takemura, Kazuhisa. "Decision-Making Process." In Behavioral Decision Theory, 127–41. Tokyo: Springer Japan, 2014. http://dx.doi.org/10.1007/978-4-431-54580-4_11.

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Siegel, Michael Eric. "Process, Decision-Making." In Lessons in Leadership from the White House to Your House, 155–97. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003285229-5.

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Takemura, Kazuhisa. "Decision-Making Process." In Behavioral Decision Theory, 159–72. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-5453-4_12.

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Tarr, G. Alan. "Judicial Decision Making." In Judicial Process and Judicial Policymaking, 244–72. Seventh edition. | New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9780429427961-8.

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Mu, Enrique, and Milagros Pereyra-Rojas. "Understanding the Analytic Hierarchy Process." In Practical Decision Making, 7–22. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33861-3_2.

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Zaraté, Pascale. "New Decision-Making Processes." In Tools for Collaborative Decision-Making, 11–20. Hoboken, NJ USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118574690.ch2.

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Hodgson, Julia, Kevin Moore, Trisha Acri, and Glenn Jordan Treisman. "Diagnostic Decision-Making Processes." In Integrative Medicine for Vulnerable Populations, 79–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-21611-5_6.

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Conference papers on the topic "Decision-making processe"

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Md.Sum, Rabihah. "Risk Management Decision Making." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2013. http://dx.doi.org/10.13033/isahp.y2013.073.

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Kinoshita, Eizo. "Decision Making Society and Decision Forming Society." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 1999. http://dx.doi.org/10.13033/isahp.y1999.028.

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Encheva, Sylvia. "Providing Support for Today's Decision Making Processes-Decision making." In 2015 International Conference on Modeling, Simulation and Applied Mathematics. Paris, France: Atlantis Press, 2015. http://dx.doi.org/10.2991/msam-15.2015.85.

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Renelle, Amy, Stephanie Budgett, and Rhys Jones. "Recognition of random processes from simulated auditory experiences." In Decision Making Based on Data. International Association for Statistical Education, 2019. http://dx.doi.org/10.52041/srap.19414.

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Students frequently exhibit randomness misconceptions due to a multitude of reasons. The purpose of this paper is to explore whether auditory cues corresponding to a sequence of simulated events challenge students’ intuitions of random processes. Results from this study indicate that randomness misconceptions were exhibited by the participants and, through running a simulation, their incorrect perceptions were then explored. From this, it is proposed that further research could investigate whether auditory cues are beneficial in challenging students’ randomness intuitions in a classroom setting. The way in which the tool highlighted the students expectations of waiting times generated from a uniform distribution, and constant waiting times was unexpected outcome of this small pilot study and is yet to be fully explored.
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Vargas, Luis G., and José María Moreno-Jiménez. "COGNITIVE AHP-MULTIACTOR DECISION MAKING." In The International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2018. http://dx.doi.org/10.13033/isahp.y2018.016.

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KACPRZYK, JANUSZ. "DECISION MAKING, DECISION PROCESSES AND DECISION SUPPORT SYSTEMS." In Proceedings of the MS'10 International Conference. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814324441_0002.

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Verma, Rakesh, and Saroj Koul. "Environmental Decision Making – A Hybrid Approach." In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2014. http://dx.doi.org/10.13033/isahp.y2014.086.

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Meixner, Oliver, and Rainer Haas. "AHP GROUP DECISION MAKING AND CLUSTERING." In International Symposium on the Analytic Hierarchy Process. Creative Decisions Foundation, 2016. http://dx.doi.org/10.13033/isahp.y2016.017.

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Delic, Amra, Julia Neidhardt, Thuy Ngoc Nguyen, Francesco Ricci, Laurens Rook, Hannes Werthner, and Markus Zanker. "Observing Group Decision Making Processes." In RecSys '16: Tenth ACM Conference on Recommender Systems. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/2959100.2959168.

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"Supplier Selection based on Process Yield for LED Manufacturing Processes." In Special Session on Operations Management and Decision Making in Today’s Competitive Environment. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003987705940598.

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Reports on the topic "Decision-making processe"

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Lou, Wei. A Non-decision-reaching Decision-making process. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.1192.

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Benecke, Uwe. Reconsidering NATO's Decision Making Process. Fort Belvoir, VA: Defense Technical Information Center, March 2007. http://dx.doi.org/10.21236/ada467165.

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Mileti, D., J. Sorensen, and W. Bogard. Evacuation decision-making: process and uncertainty. Office of Scientific and Technical Information (OSTI), September 1985. http://dx.doi.org/10.2172/5111169.

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Marold, Juliane, Ruth Wagner, Markus Schöbel, and Dietrich Manzey. Decision-making in groups under uncertainty. Fondation pour une culture de sécurité industrielle, February 2012. http://dx.doi.org/10.57071/361udm.

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The authors have studied daily decision-making processes in groups under uncertainty, with an exploratory field study in the medical domain. The work follows the tradition of naturalistic decision-making (NDM) research. It aims to understand how groups in this high reliability context conceptualize and internalize uncertainties, and how they handle them in order to achieve effective decision-making in their everyday activities. Analysis of the survey data shows that uncertainty is thought of in terms of issues and sources (as identified by previous research), but also (possibly a domain-specific observation) as a lack of personal knowledge or skill. Uncertainty is accompanied by emotions of fear and shame. It arises during the diagnostic process, the treatment process and the outcome of medical decision making. The most frequently cited sources of uncertainty are partly lacking information and inadequate understanding owing to instability of information. Descriptions of typical group decisions reveal that the individual himself is a source of uncertainty when a lack of knowledge, skills and expertise is perceived. The group can serve as a source of uncertainty if divergent opinions in the decision making group exist. Three different situations of group decisions are identified: Interdisciplinary regular meetings (e.g. tumor conferences), formal ward meetings and ad hoc consultations. In all healthcare units concerned by the study, only little use of structured decision making procedures and processes is reported. Strategies used to handle uncertainty include attempts to reduce uncertainty by collecting additional information, delaying action until more information is available or by soliciting advice from other physicians. The factors which ultimately determine group decisions are hierarchy (the opinion of more senior medical staff carries more weight than that of junior staff), patients’ interest and professional competence. Important attributes of poor group decisions are the absence of consensus and the use of hierarchy as the predominant decision criterion. On the other hand, decisions judged to be effective are marked by a sufficient information base, a positive discussion culture and consensus. The authors identify four possible obstacles to effective decision making: a steep hierarchy gradient, a poor discussion culture, a strong need for consensus, and insufficient structure and guidance of group decision making processes. A number of intervention techniques which have been shown in other industries to be effective in improving some of these obstacles are presented.
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Marr, John J. The Military Decision Making Process: Making Better Decisions Versus Making Decisions Better. Fort Belvoir, VA: Defense Technical Information Center, January 2001. http://dx.doi.org/10.21236/ada392009.

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Osbourn, Gordon Cecil. Biomolecular decision-making process for self assembly. Office of Scientific and Technical Information (OSTI), January 2005. http://dx.doi.org/10.2172/882051.

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Burwell, David W. Logical Evolution of the Military Decision Making Process. Fort Belvoir, VA: Defense Technical Information Center, May 2001. http://dx.doi.org/10.21236/ada394290.

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Rodriguez, David M. Dominating Time in the Operational Decision Making Process. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada328124.

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Scott, Harry D., and Jr. Time Management and the Military Decision Making Process. Fort Belvoir, VA: Defense Technical Information Center, December 1992. http://dx.doi.org/10.21236/ada262657.

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Akins, Elton, Hank Dodge, Colleen Duffy, Brian Gollsneider, and James Imlay. The Military Decision-Making Process: A Software Tutorial. Fort Belvoir, VA: Defense Technical Information Center, April 1999. http://dx.doi.org/10.21236/ada388664.

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