Relevant bibliographies by topics / Decision making ; Problem solving

Contents

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

Academic literature on the topic 'Decision making ; Problem solving'

Author: Grafiati
Published: 4 June 2021
Last updated: 18 February 2022

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Journal articles on the topic "Decision making ; Problem solving"

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Simon, Herbert A., George B. Dantzig, Robin Hogarth, Charles R. Plott, Howard Raiffa, Thomas C. Schelling, Kenneth A. Shepsle, Richard Thaler, Amos Tversky, and Sidney Winter. "Decision Making and Problem Solving." Interfaces 17, no. 5 (October 1987): 11–31. http://dx.doi.org/10.1287/inte.17.5.11.

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Gardashova, Latafat Abbas. "RDM Based Approach To Solving Decision Making Problem Under Uncertain Environment." International Journal of Innovative Research in Computer Science & Technology 5, no. 2 (March 31, 2017): 247–52. http://dx.doi.org/10.21276/ijircst.2017.5.2.7.

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Abdillah, Abdillah, Toto Nusantara, Subanj Subanj, Hery Susanto, and Abadyo Abadyo. "The Students Decision Making in Solving Discount Problem." International Education Studies 9, no. 7 (June 28, 2016): 57. http://dx.doi.org/10.5539/ies.v9n7p57.

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<p class="apa">This research is reviewing students’ process of decision making intuitively, analytically, and interactively. The research done by using discount problem which specially created to explore student’s intuition, analytically, and interactively. In solving discount problems, researcher exploring student’s decision in determining their attitude which concern in the used of intuitively, analytically, and interactively. Result of this research showing that the student’s decision making in solving discount problem begin with their intuitively, then interactively and continued with analytically; afterward return to intuition, interaction and end up with analytical. Those three components (intuitively, interactively and analytically) repeated occur until obtaining result which is desire.</p>
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Scott, John. "Visual representations in problem solving and decision-making." International Journal of Management and Decision Making 9, no. 3 (2008): 266. http://dx.doi.org/10.1504/ijmdm.2008.017409.

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Frauenknecht, Marianne, and David R. Black. "Is it Social Problem Solving or Decision Making?" American Journal of Health Education 41, no. 2 (March 2010): 112–23. http://dx.doi.org/10.1080/19325037.2010.10599135.

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Čančer, Vesna, and Matjaž Mulej. "Multi‐criteria decision making in creative problem solving." Kybernetes 42, no. 1 (January 4, 2013): 67–81. http://dx.doi.org/10.1108/03684921311295484.

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Walker, Neff, Bradley Fain, Arthur D. Fisk, and Christy L. Mcguire. "Aging and Decision Making: Driving-Related Problem Solving." Human Factors: The Journal of the Human Factors and Ergonomics Society 39, no. 3 (September 1997): 438–44. http://dx.doi.org/10.1518/001872097778827188.

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Borror, Connie M. "Statistics for Applied Problem Solving and Decision Making." Journal of Quality Technology 30, no. 3 (July 1998): 306–8. http://dx.doi.org/10.1080/00224065.1998.11979865.

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Ji, Junzhe, Pavlos Dimitratos, and Qingan Huang. "Problem-solving dissension and international entry mode performance." International Marketing Review 33, no. 2 (April 11, 2016): 219–45. http://dx.doi.org/10.1108/imr-10-2014-0328.

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Purpose – The purpose of this paper is to examine international decision making, information processing, and related performance implications. The authors aim to explore the relationship between international decision making and problem-solving dissensions related to entry mode decisions. In addition, they aim to investigate the effects of dissension on entry mode performance, and the moderating effect of the foreign direct investment (FDI) vs non-FDI decision as it relates to dissension-mode performance. Despite their significance from an information processing perspective, these issues have not been sufficiently explored in international entry mode research. Design/methodology/approach – This research presents data collected from 233 privately owned internationalized Chinese firms. The analysis in this investigation includes hierarchical ordinary least squares regression. Findings – The findings suggest an inverse U-shaped relationship between dissension and entry mode performance, as opposed to a linear one, and a moderating effect of FDI vs non-FDI decisions on this curvilinear dissension-performance association. These findings support and refine the rationale of the information processing perspective. Originality/value – These findings add realistic elements to the alleged “rational” international decision-making doctrine assumed in previous entry mode literature. The findings show the importance of the heterogeneity of information processing in entry mode strategic decision-making processes (SDMPs), and its effects on specific decision types. The authors believe that this is the first empirical study to use an information processing perspective to examine the effects of SDMPs on entry mode performance.
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Remenova, Katarina, and Nadezda Jankelova. "Decision-making style of agribusiness managers." Agricultural Economics (Zemědělská ekonomika) 65, No. 7 (July 17, 2019): 322–30. http://dx.doi.org/10.17221/289/2018-agricecon.

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How agricultural managers gain, process and use information in decision-making and problem-solving process refers to decision-making styles. A successful decision depends on the flexibility of using decision-making styles in different situations. The research paper monitors the dependence between the decision-making style of agricultural managers and their personal and working parameters. To identify the decision-making styles, the MB-type indicator (Myers-Briggs type indicator) was used. The results of non-parametric testing give proof that there is a statistically significant dependence between the type of decision problem and decision-making style, “Intuitive” and “Sensing”. Parametric test ANOVA was applied to assess potential differences in the score of decision-making style by nominal-level variables. The results gave proof of a strong statistically significant difference in score of decision-making style, “Intuitive” and “Sensing” between groups of current leading position. The difference in scoring for “Thinking” and “Feeling” as decision-making styles was confirmed to be statistically significant even in functional areas of control. Subsequently, the size of this difference was calculated.
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Dissertations / Theses on the topic "Decision making ; Problem solving"

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Winfield, Catherine V. "Clinical decision making in district nursing." Thesis, University of Surrey, 1998. http://epubs.surrey.ac.uk/2830/.

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The two studies described here address the question of how District Nurses determine patients' nursing problems and plan care. The theoretical framework for the investigation is derived from Information Processing Theory. A process tracing methodology was used to capture the content of District Nurses' thinking during an assessment visit to a newly referred patient. Data was collected in the natural setting to ensure ecological validity. The assessment visits were tape recorded and immediately following the visit a stimulated recall session was conducted in which the nurse was asked to describe her thinking during the assessment, prompted by the tape recording. This session was itself tape-recorded. Thus two verbal protocols were elicited for each assessment: a visit protocol and a recall protocol. Data were analysed by content analysis. The verbal protocols were assessed to ensure that they met the criteria for validity and reliability of the coding schedules was established using two measures or interrater reliability. The first study sought evidence of hypothetico-deductive reasoning by nurses and describes the type of decisions made by nurses. Although evidence of hypothesis generation and testing was found, nurses' knowledge was found to determine how they interpreted data initially and what data they sought. It was therefore concluded that a model of diagnostic reasoning that focused on cognitive processes alone was insufficient to explain the dynamics of clinical problem solving. The second study, therefore, sought to establish the structure and content of District Nurses knowledge and the cognitive processes they used during an assessment. The results suggest that nurses attend to both clinical and personal phenomena in order to make a judgement about the state of the patient and that their knowledge is organised internally as schema. This provides an explanation of how nurses recognise salient information and determine what further data is required. Four key cognitive activities were identified: search, inference, action and plan. The study concludes by drawing a line of reasoning to show how nurses integrate knowledge and reasoning processes to accomplish clinical problem solving.
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Snellenburg, Sidney C. "Problem solving and The Idea Machine." Diss., This resource online, 1990. http://scholar.lib.vt.edu/theses/available/etd-08062007-094359/.

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Modir, Bahar. "Problem solving in physics: undergraduates' framing, procedures, and decision making." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/36258.

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Doctor of Philosophy
Department of Physics
Eleanor C. Sayre
In this dissertation I will start with the broad research question of what does problem solving in upper division physics look like? My focus in this study is on students' problem solving in physics theory courses. Some mathematical formalisms are common across all physics core courses such as using the process of separation of variables, doing Taylor series, or using the orthogonality properties of mathematical functions to set terms equal to zero. However, there are slight differences in their use of these mathematical formalisms across different courses, possibly because of how students map different physical systems to these processes. Thus, my first main research question aims to answer how students perform these recurring processes across upper division physics courses. I break this broad question into three particular research questions: What knowledge pieces do students use to make connections between physics and procedural math? How do students use their knowledge pieces coherently to provide reasoning strategies in estimation problems? How do students look ahead into the problem to read the information out of the physical scenario to align their use of math in physics? Building on the previous body of the literature, I will use the theory family of Knowledge in Pieces and provide evidence to expand this theoretical foundation. I will compare my study with previous studies and provide suggestions on how to generalize these theory expansions for future use. My experimental data mostly come from video-based classroom data. Students in groups of 2-4 students solve in-class problems in quantum mechanics and electromagnetic fields 1 courses collaboratively. In addition, I will analyze clinical interviews to demonstrate how a single case study student plays an epistemic game to estimate the total energy in a hurricane. My second research question is more focused on a particular instructional context. How do students frame problem solving in quantum mechanics? I will lay out a new theoretical framework based in epistemic framing that separates the problem solving space into four frames divided along two axes. The first axis models students' framing in math and physics, expanded through the second axis of conceptual problem solving and algorithmic problem solving. I use this framework to show how students navigate problem solving. Lastly, I will use this developed framework to interpret existing difficulties in quantum mechanics.
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Stevenson, David M. "Decision making skill and complex problem solving in team sports." Thesis, University of Stirling, 2013. http://hdl.handle.net/1893/20389.

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This thesis aimed to enhance understanding of the nature of knowledge bases possessed by elite sports performers which underpin perceptual-cognitive and decision making skills. Two main theories were considered; Active Control of Thought (ACT*) and Representational Redescription (RR). The purpose of Study 1 was to examine the anticipatory ability of elite and non-elite players in football and hockey. The results indicated that elite players in both sports were quicker and more accurate in their expectation of pass destination. Study 2 aimed to understand the extent to which knowledge is transferable. The results indicated that elite players’ knowledge is relatively domain specific although some elements of underlying task strategy may transfer. The objective of Study 3 was to explore the means by which elite and non-elite players in football and hockey identify and differentiate between possible decisions. Results showed elite players’ rationale was based on deeper theoretical principles whilst non-experts utilised relatively superficial information and naïve theories. Study 4 focussed on problem representations of elite and non-elite football players. Results revealed elite players’ representations were more pertinent, connected and articulated in a more effective manner. Overall, the findings from the current thesis provide advanced understanding of the knowledge bases responsible for perceptual-cognitive and decision making skill, and such understanding may assist attempts to enhance athletes’ performance and support future research.
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Sycara, Ekaterini P. "Resolving adversarial conflicts : an approach integrating case-based and analytical methods." Diss., Georgia Institute of Technology, 1987. http://hdl.handle.net/1853/32955.

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Mole, Robert H. "Testing the repertory grid for personal decision making and problem solving." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0016/MQ49648.pdf.

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Hintze, Neil R. "First responder problem solving and decision making in today's asymmetrical environment." Thesis, Registration and login required, 2008. https://www.hsdl.org/homesec/docs/theses/08Mar_Hintze.pdf&code=0b11819a26de4946f5547907991d6aad.

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McFadzean, Elspeth. "New ways of thinking : an evaluation of K-groupware and creative problem-solving." Thesis, Henley Business School, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.295195.

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Cytryn, Kayla N. "Lay reasoning and decision making related to health and illness." Thesis, McGill University, 2001. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=36903.

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Research in decision making has identified the importance of prior knowledge and heuristics on decision making behaviour. These develop with experience in a fashion similar to how domain experts develop specialized knowledge structures and heuristic reasoning patterns. This research is extended to the domain of health and lay decision making in a series of studies characterizing conceptualizations of health and illness, information-seeking strategies, and the impact of medical information on lay decision making. Lay subjects included those with diabetes, heart disease, and no identified ongoing medical diagnosis.
Semi-structured interviews and think aloud methodology were employed. Interviews focused on understanding of health and illness, prior knowledge and beliefs, and decision making. In Study One, subjects were presented with health-related problem scenarios and instructed to think aloud as they reasoned through them to make decisions. In Study Two, subjects (lay and medical) were presented with a telecommunications device and scenarios of data to enter into the system. All data were audiorecorded, transcribed, and analyzed for factors and strategies related to information-seeking and decision making behaviours.
Lay understanding of health and illness was characterized as feeling well and functioning in everyday life. The knowledge used in making decisions was based on experience and socio-cultural tradition. Knowledge about disease was found to be decoupled from decisions to act related to illness. Additional information was sought using four criteria grounded in common experience: accessibility, familiarity, complexity, and credibility. These characteristics influenced interactions between lay people and domain experts, such as health care providers, and with technology designed by experts for lay users.
Both technical and lay people make decisions with incomplete information and uncertain outcomes. For lay people making decisions about health-related issues, this incomplete knowledge is filled in based on everyday life rather than medical and scientific facts.
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Escalante-Mead, P. R. "Developmental mechanisms influencing decision-making." Thesis, University of St Andrews, 2009. http://hdl.handle.net/10023/680.

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The main aim of this thesis was to investigate decision making from a broad developmental perspective to clarify the role of the underlying mechanisms influencing it. Problem solving and cognitive inhibitory capacity were chartered initially through the use of hypothetical vignettes depicting socially relevant situations and through the use of the Stroop task, to tap into automatic inhibitory capacity. Initial assumptions that prefrontal cortical refinement would denote enhanced social problem ability were not confirmed. Experience emerged as distinct factor in problem solving/decision-making, with the youngest participants equally as effective in producing solutions to situations that they had the most experience in. A shift in development is observed with maturation denoting greater experience and this being applied directly to problem solving and decision-making situations. Education was identified as a possible contributory factor in decision-making and this was explored in a cross-cultural study that tapped into a non-schooled population. The results reinforced the centrality of experience in shaping decision-making. Decision-making in regards to the use of experience was then looked at through real life decision-making situations, where adolescents were asked to provide their knowledge or experience of situations where risk was involved. Adolescents possessed the necessary knowledge to distinguish between optimal and sub-optimal decisions in terms of the consequences that risk behaviours carried with them. However, many still chose to engage in risky behaviours. This paradox could also be explained by actual experience, with the suggestion that positive experience in a peer group was serving as a pool from which adolescents drew to make future decision-making. If risk behaviours were not experienced adversely, the likelihood of their repetition was high. Taken together the findings suggest that adolescents are well equipped with the cognitive skills to make decisions. Compared to younger children, they have more experience of a greater range of situations from which to extrapolate responses from. They also have a great deal of knowledge and information about the negative consequences associated with a range of challenging situations and risk-taking behaviours. However, when faced with decisions in the social domain, the behaviour of friends and perceptions of what other people are doing are powerful influences on adolescent decisions.
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Books on the topic "Decision making ; Problem solving"

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Turner, Mike. Decision making & problem solving theory. Tipton: MOST Management Training, 1993.

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East, Project North. Problem solving and decision making. Newcastle upon Tyne: Project North East, 1999.

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Adair, John. Decision Making & Problem Solving Strategies. London: Kogan Page Publishers, 2007.

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W, Wood Merle, ed. Problem solving and decision making. Cincinnati, Ohio: South-Western Pub. Co., 1992.

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Adair, John. Decision making and problem solving. London: Institute of Personnel and Development, 1997.

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Wilson, Graham. Problem solving and decision making. London: Kogan Page, 1993.

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Problem solving and decision making. Boston, Mass: Course Technology/Cengage Learning, 2010.

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Nandan Mohanty, Sachi, ed. Decision Making And Problem Solving. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66869-3.

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Analogical problem solving. Chichester, West Sussex, England: E. Horwood, 1988.

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S, Cameron Kim, and Woods Mike, eds. Effective problem-solving. London: HarperCollins, 1996.

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Book chapters on the topic "Decision making ; Problem solving"

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Davis, Morton. "Practical Problem-Solving." In The Art of Decision-Making, 31–44. New York, NY: Springer New York, 1986. http://dx.doi.org/10.1007/978-1-4612-1074-0_2.

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Wenzel, Amy. "Problem solving." In Strategic decision making in cognitive behavioral therapy., 145–68. Washington: American Psychological Association, 2013. http://dx.doi.org/10.1037/14188-008.

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Proctor, Tony. "Decision making and problem solving." In Creative Problem Solving for Managers, 281–98. 5th Edition. | New York: Routledge, 2019. | Revised edition of: Routledge, 2018. http://dx.doi.org/10.4324/9780429458255-14.

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Gobbo, Linda Drake. "Problem Solving and Decision Making." In Advances in Group Decision and Negotiation, 239–74. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6957-4_9.

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Mackinnon, Alex, and Barnaby Powell. "Decision Making and Problem Solving." In China Calling, 13–19. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230594203_3.

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Saitis, Christos, and Anna Saiti. "Decision-Making and Problem Solving." In Initiation of Educators into Educational Management Secrets, 61–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-47277-5_3.

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Vordermark II, Jonathan S. "Problem-Solving and Decision-Making." In An Introduction to Medical Decision-Making, 37–42. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23147-7_3.

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Goldsmith, Elizabeth B. "Decision Making and Problem Solving." In Social Influence and Sustainable Consumption, 91–103. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20738-4_6.

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Kaplan, Leslie S., and William A. Owings. "Problem Solving and Decision Making." In Organizational Behavior for School Leadership, 279–311. New York, NY : Routledge, 2017.: Routledge, 2017. http://dx.doi.org/10.4324/9781315669502-9.

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Grünig, Rudolf, and Richard Kühn. "Rational Decision-Making." In Solving Complex Decision Problems, 25–34. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-53814-2_4.

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Conference papers on the topic "Decision making ; Problem solving"

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null. "Decision making under fire." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971218.

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Parsons, S. "Argumentation and decision making." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971224.

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Hersh, M. A. "Sustainable decision making: the role of decision support systems." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971222.

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Donnelly, D. M. "Decision making on the flight deck." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971219.

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Donegan, H. A. "Opinion profiling and decision making through analytic hierarchies." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971228.

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Cook, M. J. "Quick thinking and naturalistic decision making - the same thing?" In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971217.

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Fox, J. "Symbolic processes in decision making: a cognitive engineering approach." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971226.

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Harvey, N. "Researching into judgment and decision-making: examples from studies of forecasting." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971221.

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Young, R. M. "Rational and symbolic models of decision making in task-oriented exploration." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971227.

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Maule, A. J. "The effects of time pressure on decision making: how harassed managers cope." In IEE Colloquium on Decision Making and Problem Solving. IEE, 1997. http://dx.doi.org/10.1049/ic:19971220.

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Reports on the topic "Decision making ; Problem solving"

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Fischer, Ute M. Methods for Analyzing Group Problem Solving Decision Making. Fort Belvoir, VA: Defense Technical Information Center, May 1996. http://dx.doi.org/10.21236/ada312002.

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Moiseeva, T. V., and N. YU Polyaeva. Decision-making support of actors in problem situations solving. OFERNIO, March 2021. http://dx.doi.org/10.12731/ofernio.2021.24770.

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Hummel, John E., and Brian H. Ross. Adaptive Problem Solving and Decision Making in Complex and Changing Environments: The Role of Understanding and Explanation. Fort Belvoir, VA: Defense Technical Information Center, February 2010. http://dx.doi.org/10.21236/ada567233.

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Ferrada, J. J., T. D. Welch, I. W. Osborne-Lee, and J. W. Jr Nehls. Using systems analysis to improve decision making in solving mixed waste problems at the Oak Ridge National Laboratory. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/81003.

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Zachry, Anne, J. Flick, and S. Lancaster. Tune Up Your Teaching Toolbox! University of Tennessee Health Science Center, 2016. http://dx.doi.org/10.21007/chp.ot.fp.2016.0001.

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Occupational therapy (OT) educators strive to prepare entry-level practitioners who have the expertise to meet the diverse health care needs of society. A variety of instructional methods are used in the University of Tennessee Health Science Center (UTHSC) MOT program, including traditional lecture-based instruction (LBI), problem-based learning (PBL), team-based learning (TBL), and game-based learning (GBL). Research suggests that active learning strategies develop the critical thinking and problem-solving skills that are necessary for effective clinical reasoning and decision-making abilities. PBL, TBL, GBL are being successfully implemented in the UTHSC MOT Program to enhance the learning process and improve student engagement.
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Cooney, Sean M. Re-introducing Conceptual and Detailed Planning: Differentiating Between Decision Making and Problem Identification. Fort Belvoir, VA: Defense Technical Information Center, May 2012. http://dx.doi.org/10.21236/ada566713.

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Fleming, R. A., and J. L. Kaiwi. The Problem of Unshared Information in Group Decision-Making: A Summary of Research and the Implications for Command and Control. Fort Belvoir, VA: Defense Technical Information Center, December 2002. http://dx.doi.org/10.21236/ada409792.

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Coulson, Saskia, Melanie Woods, Drew Hemment, and Michelle Scott. Report and Assessment of Impact and Policy Outcomes Using Community Level Indicators: H2020 Making Sense Report. University of Dundee, 2017. http://dx.doi.org/10.20933/100001192.

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Making Sense is a European Commission H2020 funded project which aims at supporting participatory sensing initiatives that address environmental challenges in areas such as noise and air pollution. The development of Making Sense was informed by previous research on a crowdfunded open source platform for environmental sensing, SmartCitizen.me, developed at the Fab Lab Barcelona. Insights from this research identified several deterrents for a wider uptake of participatory sensing initiatives due to social and technical matters. For example, the participants struggled with the lack of social interactions, a lack of consensus and shared purpose amongst the group, and a limited understanding of the relevance the data had in their daily lives (Balestrini et al., 2014; Balestrini et al., 2015). As such, Making Sense seeks to explore if open source hardware, open source software and and open design can be used to enhance data literacy and maker practices in participatory sensing. Further to this, Making Sense tests methodologies aimed at empowering individuals and communities through developing a greater understanding of their environments and by supporting a culture of grassroot initiatives for action and change. To do this, Making Sense identified a need to underpin sensing with community building activities and develop strategies to inform and enable those participating in data collection with appropriate tools and skills. As Fetterman, Kaftarian and Wanderman (1996) state, citizens are empowered when they understand evaluation and connect it in a way that it has relevance to their lives. Therefore, this report examines the role that these activities have in participatory sensing. Specifically, we discuss the opportunities and challenges in using the concept of Community Level Indicators (CLIs), which are measurable and objective sources of information gathered to complement sensor data. We describe how CLIs are used to develop a more indepth understanding of the environmental problem at hand, and to record, monitor and evaluate the progress of change during initiatives. We propose that CLIs provide one way to move participatory sensing beyond a primarily technological practice and towards a social and environmental practice. This is achieved through an increased focus in the participants’ interests and concerns, and with an emphasis on collective problem solving and action. We position our claims against the following four challenge areas in participatory sensing: 1) generating and communicating information and understanding (c.f. Loreto, 2017), 2) analysing and finding relevance in data (c.f. Becker et al., 2013), 3) building community around participatory sensing (c.f. Fraser et al., 2005), and 4) achieving or monitoring change and impact (c.f. Cheadle et al., 2000). We discuss how the use of CLIs can tend to these challenges. Furthermore, we report and assess six ways in which CLIs can address these challenges and thereby support participatory sensing initiatives: i. Accountability ii. Community assessment iii. Short-term evaluation iv. Long-term evaluation v. Policy change vi. Capability The report then returns to the challenge areas and reflects on the learnings and recommendations that are gleaned from three Making Sense case studies. Afterwhich, there is an exposition of approaches and tools developed by Making Sense for the purposes of advancing participatory sensing in this way. Lastly, the authors speak to some of the policy outcomes that have been realised as a result of this research.
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Bustelo, Monserrat, Pablo Egana-delSol, Laura Ripani, Nicolas Soler, and Mariana Viollaz. Automation in Latin America: Are Women at Higher Risk of Losing Their Jobs? Inter-American Development Bank, August 2020. http://dx.doi.org/10.18235/0002566.

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New technological trends, such as digitization, artificial intelligence and robotics, have the power to drastically increase economic output but may also displace workers. In this paper we assess the risk of automation for female and male workers in four Latin American countries Bolivia, Chile, Colombia and El Salvador. Our study is the first to apply a task-based approach with a gender perspective in this region. Our main findings indicate that men are more likely than women to perform tasks linked to the skills of the future, such as STEM (science, technology, engineering and mathematics), information and communications technology, management and communication, and creative problem-solving tasks. Women thus have a higher average risk of automation, and 21% of women vs. 19% of men are at high risk (probability of automation greater than 70%). The differential impacts of the new technological trends for women and men must be assessed in order to guide the policy-making process to prepare workers for the future. Action should be taken to prevent digital transformation from worsening existing gender inequalities in the labor market.
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Meadow, Alison, and Gigi Owen. Planning and Evaluating the Societal Impacts of Climate Change Research Projects: A guidebook for natural and physical scientists looking to make a difference. The University of Arizona, June 2021. http://dx.doi.org/10.2458/10150.658313.

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As scientists, we aim to generate new knowledge and insights about the world around us. We often measure the impacts of our research by how many times our colleagues reference our work, an indicator that our research has contributed something new and important to our field of study. But how does our research contribute to solving the complex societal and environmental challenges facing our communities and our planet? The goal of this guidebook is to illuminate the path toward greater societal impact, with a particular focus on this work within the natural and physical sciences. We were inspired to create this guidebook after spending a collective 20+ years working in programs dedicated to moving climate science into action. We have seen firsthand how challenging and rewarding the work is. We’ve also seen that this applied, engaged work often goes unrecognized and unrewarded in academia. Projects and programs struggle with the expectation of connecting science with decision making because the skills necessary for this work aren’t taught as part of standard academic training. While this guidebook cannot close all of the gaps between climate science and decision making, we hope it provides our community of impact-driven climate scientists with new perspectives and tools. The guidebook offers tested and proven approaches for planning projects that optimize engagement with societal partners, for identifying new ways of impacting the world beyond academia, and for developing the skills to assess and communicate these impacts to multiple audiences including the general public, colleagues, and elected leaders.
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