Academic literature on the topic 'Decision-making proce'
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Journal articles on the topic "Decision-making proce"
Kartashov, Igor I., and Ivan I. Kartashov. "Artificial intelligence: criminal and procedural aspects." Current Issues of the State and Law, no. 17 (2021): 75–89. http://dx.doi.org/10.20310/2587-9340-2021-5-17-75-89.
Full textTomić, Vesna. "Decision making in adolescents." Zdravstvena zastita 35, no. 6 (2006): 33–40. http://dx.doi.org/10.5937/zz0605033t.
Full textMarkelov, Alexander G. "THE IDEA OF COMPROMISE IN THE RUSSIAN CRIMINAL PROCESS AS A MEANING OF COURT ACTIVITY OF CRIME." Vestnik Tomskogo gosudarstvennogo universiteta. Pravo, no. 39 (2021): 48–59. http://dx.doi.org/10.17223/22253513/39/4.
Full textJasikovac, Miomir. "The process of decision-making in crises." Vojno delo 71, no. 2 (2019): 55–69. http://dx.doi.org/10.5937/vojdelo1901055j.
Full textBark, Dong-Suh, and Young-Whan Kihl. "Decision-Making and Its Specification Process of Food Policy in Korea." Korean Journal of Policy Studies 3 (December 31, 1988): 92–115. http://dx.doi.org/10.52372/kjps03006.
Full textMyślińska, Marzena. "The Processes of Application of Law and the Decision Making in Mediation Process." Studia Iuridica Lublinensia 24, no. 2 (May 27, 2015): 115. http://dx.doi.org/10.17951/sil.2015.24.2.115.
Full textLobão, Júlio. "Culture, learning and rational decision-making: evidence from a TV show." Decyzje 2020, no. 34 (December 15, 2020): 5–27. http://dx.doi.org/10.7206/dec.1733-0092.144.
Full textLjubojević, Gordana, and Goran Dašić. "Boards attributes and their implications on decision-making process." Menadzment u hotelijerstvu i turizmu 6, no. 1 (2018): 19–29. http://dx.doi.org/10.5937/menhottur1801019l.
Full textAbdulzahra Hamdan, Ahmed, and Safaa Ali Hussein. "Cooperative decision-making on fiscal and monetary policy in Iraq using the prisoner’s dilemma." Banks and Bank Systems 15, no. 4 (December 9, 2020): 88–98. http://dx.doi.org/10.21511/bbs.15(4).2020.08.
Full textJURTELA, JURIJ. "NOV PRISTOP NAPOVEDOVANJA IN ODLOČANJA V PROCESU IZBIRE IN DELOVANJA NA CILJ." CONTEMPORARY MILITARY CHALLENGES, VOLUME 2013/ ISSUE 15/1 (May 30, 2013): 63–83. http://dx.doi.org/10.33179//bsv.99.svi.11.cmc.15.1.4.
Full textDissertations / Theses on the topic "Decision-making proce"
TODELLA, ELENA. "Projecting decisions. The architectural design practice in the folds of decision-making processes." Doctoral thesis, Politecnico di Torino, 2020. http://hdl.handle.net/11583/2845796.
Full textYILDIZ, GOZDE. "TIME-RELATIONAL PROCESS READING BETWEEN CULTURE AND FORM: TRANSFORMATION PROCESS OF PRIVATELY OWNED INDUSTRIAL HERITAGE SITES AND ACTOR ROLES." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2962240.
Full textASSUMMA, VANESSA. "Assessing the Resilience of Socio-Ecological Systems to Shape Scenarios of Territorial Transformation." Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2903476.
Full textHickernell, Thomas Slocum. "Statistical decision making with a dual detector probe." Diss., The University of Arizona, 1988. http://hdl.handle.net/10150/184538.
Full textCAPRIOLI, CATERINA. "Agent-based model and Geographic Information System (GIS): an integrated approach to test sustainable policies and urban transformation scenarios." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2964778.
Full textDiamantopoulos, Adamantios. "Price decision-making in a multiproduct firm : an empirical analysis." Thesis, University of Strathclyde, 1989. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.319517.
Full textHammad, Rayan Salem. "Modelling the impact of oil price volatility on investment decision-making." Thesis, University of Hull, 2011. http://hydra.hull.ac.uk/resources/hull:5379.
Full textPawlosky, Annalisa M. (Annalisa Marie). "Single molecule techniques to probe decision-making processes in developmental biology." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/87503.
Full textCataloged from PDF version of thesis.
Includes bibliographical references.
This work investigates the fundamental processes used by mammalian cells and organisms to make decisions during embryonic development. Current technologies that evaluate biological phenomenon often force a compromise between quantification of gene expression via bulk assays and qualitative imaging of cell and tissue heterogeneity. There are few options that allow for quantitative, high-resolution, single-cell analysis that is robust but not associated with a high degree of technical difficulty or obscured by amplification. Here, we address these issues using two model systems, the developing mammalian inner ear and single mouse embryonic stem cells (mESCs) during the process of X inactivation, to demonstrate our ability to perform single-cell, single-molecule assays that reveal both highly quantitative and spatial information. Accordingly, we adapted a high resolution, single-molecule RNA fluorescent in situ hybridization technique (smFISH) to study gene expression in the inner ear and perform allele-specific detection of the X chromosome in mESCs. We used previously-published smFISH procedures as our initial template for investigating biological signaling phenomena in these two systems. To study gene expression in the mouse inner ear, we developed a modified smFISH strategy to investigate mRNA transcript expression patterns in the cochlea during auditory hair cell development. The mammalian cochlea, a highly specialized and complex organ, beautifully demonstrates both the depth and breadth of the smFISH technique. To assay signaling behavior and topological changes of the X chromosome prior to X inactivation, we incorporated a novel allele-specific modification into the smFISH technique. We investigate the allele-specific expression patterns of eight genes that tile the X chromosome, which were chosen for their varied putative roles before, during and after X chromosome inactivation. Taken together, these two systems recapitulate the strength of the smFISH technique and its adaptations. The goals of this thesis were twofold: (1) expand the smFISH technique to work in specialized mammalian systems such as the cochlea and (2) demonstrate allele-specific DNA topological changes and expression patterns in mESCs. Elucidating high-resolution, single-molecule quantifiable imaging methods for application to complex tissues or allele-specific probing will have profound impacts on future investigations and promote a deeper comprehension of these systems.
by Annalisa M. Pawlosky.
Ph. D.
Watson, Iain. "Internal reference price formation in support of UK and US grocery retail price decision-making." Thesis, Heriot-Watt University, 2013. http://hdl.handle.net/10399/2630.
Full textAllan, Meredith Leigh. "Price versus brand : assessing the role of price and brand in low-income consumer decision-making." Thesis, Stellenbosch : Stellenbosch University, 2014. http://hdl.handle.net/10019.1/86272.
Full textENGLISH ABSTRACT: Growing competition, fuelled by globalisation, has increased the number of alternatives across almost all product categories, leaving consumers overloaded with information and overwhelmed for choice. Brand and price represent two cues that have been found to influence consumer decision-making and which can be used in marketing strategies to create value, and differentiate from competitors in this increasingly competitive climate. Responding to the misconceptions surrounding the decision-making of individuals classified in the low-income market segment, and in light of the significance of Bottom of Pyramid (BOP) supported by Prahalad (2002), this study was undertaken to assess the perceived importance of price and brand in low-income consumers’ decision-making process, and thereby examine the effect of different prices and brands on low-income consumers’ product preference. Primary causal research using a choice-based conjoint (CBC) analysis was conducted on a judgement sample of black female adults. A total of 209 questionnaires were completed through fieldwork of personal interviews in informal settlements in Gauteng. The study used a 5 price presentation (R18.99; R24.99; R28.99; R33.99; R42.99) by 5 brand presentation (Ace, Iwisa, White Star, Mnandi, Ritebrand) between-subjects design in the maize meal product category. The hierarchical Bayes procedure and multinomial logit model were used to analyse the primary data. Results of the descriptive and inferential analysis of the CBC showed that brand was perceived as more important, attributing to 65 per cent of low-income consumers’ decision-making process, opposed to the 35 per cent attributed to price, and that prices and brands had varying effects on low-income consumers’ purchase probabilities. Although lower prices did have higher perceived utilities, the price-sensitivity of low-income consumers was found to be less influential at lower price ranges, suggesting the stronger influence of brand and brand associations on their evaluation of alternatives. Familiar brands (White Star, Ace and Iwisa) were seen to positively influence low-income consumers’ purchase probability by reducing perceived risk, further enhanced by brand credibility as found with Iwisa (which indicated consistent quality) resulting in higher purchase probability. Unfamiliar brands (Mnandi and Ritebrand) were perceived as having low levels of utility, attributed to higher levels of perceived risk and unclear quality inferences. The research conclusions, drawing from secondary research, proposed a model of low-income consumer decision-making that is influenced by various factors, including aversion to loss, and the desire to satisfy aspirations. Varying levels of brand knowledge, brand quality and credibility as well as symbolic value attached to different brands as perceived by low-income consumers, are argued to influence both individuals’ aversion to loss, as well as their aspirational desires, and thus influence the decision-making process. Price and price–quality inferences, brand familiarity, brand–quality inferences, psychological factors and those surrounding the purchase context were found to have influence over the decision-making process of individuals within this market segment. Managerial recommendations emphasise the significance of the BOP as a viable market segment, warn marketers of low-cost pricing strategies, and discuss the importance of employing value-based strategies and leveraging brand to attract, satisfy and retain consumers in this market segment. Managers are challenged to find a balance between perceived quality and reliability and affordable price, in order to operate successfully in the low-income market and offer effective value propositions that provide customer satisfaction while allowing for sustained sales and profits for the firm.
AFRIKAANSE OPSOMMING: Groeiende mededinging, gedryf deur globalisering, het die aantal alternatiewe in byna alle produkkategorieë laat toeneem, wat verbruikers oorlaai met inligting en oorweldig met keuses. Handelsmerk en prys verteenwoordig twee leiseine wat verbruikersbesluitneming beïnvloed en wat gebruik kan word in bemarkingstrategieë om waarde te skep, en 'n produk van sy mededingers te onderskei in hierdie toenemend mededingende klimaat. In reaksie op die wanopvattings omtrent die besluitneming van individue wat in die lae-inkomste-marksegment geklassifiseer word, en in die lig van die betekenisvolheid van die Bodem van die Piramide (BOP) soos ondersteun deur Pralahad (2002), is hierdie studie onderneem om die waargenome belangrikheid van prys en handelsmerk in lae-inkomste-verbruikers se besluitnemingsproses te assesseer, en sodoende die effek van verskillende pryse en handelsmerke op lae-inkomste-verbruikers se produkvoorkeure te ondersoek. Primêre kousale navorsing deur 'n keusegebaseerde saamgevoegde analise ("choice-based conjoint analysis" of CBC) is uitgevoer op 'n oordeelsteekproef van swart, vroulike volwassenes. 'n Totaal van 209 vraelyste is voltooi deur middel van veldwerk in die vorm van uit persoonlike onderhoude in informele nedersettings in Gauteng. Die studie het 'n tussensubjekte-ontwerp gebruik met 'n 5-prys-aanbieding (R18.99; R24.99; R28.99; R33.99; R42.99) teenoor 'n 5-handelsmerk-aanbieding (Ace, Iwisa, White Star, Mnandi, Ritebrand) in die mieliemeel-produkkategorie. Die hiërargiese Bayes-prosedure en multinomiale logitmodel is gebruik om die primêre data te ontleed. Die resultate van die beskrywende en inferensiële analise van die CBC het gewys dat handelsmerk as meer belangrik waargeneem word, met 65 persent van lae-inkomste-verbruikers se besluitnemingsproses wat daaraan toegeskryf kan word, in vergelyking met 35 persent aan prys. Verder het pryse en handelsmerke wisselende effekte op lae-inkomste-verbruikers se aankoopwaarskynlikhede gehad. Alhoewel laer pryse hoër waargenome bruikbaarhede gehad het, is daar gevind dat die pryssensitiwiteit van lae-inkomste-verbruikers minder invloedryk is in laer prysklasse, wat dui op die sterker invloed van handelsmerke en handelsmerkassosiasies op hulle evaluering van die verskillende alternatiewe. Bekende handelsmerke (White Star, Ace en Iwisa) het lae-inkomste-verbruikers se aankoopwaarskynlikheid positief beïnvloed deur waargenome risiko te verlaag. Hierdie verskynsel is verder versterk deur handelsmerkgeloofwaardigheid, soos gesien by Iwisa (wat konsekwente gehalte aangedui het), wat lei tot hoër aankoopwaarskynlikheid. Onbekende handelsmerke (Mnandi en Ritebrand) is waargeneem as laag in terme van bruikbaarheidsvlakke, wat toegeskryf kan word aan hoër vlakke van waargenome risiko en onduidelike afleidings omtrent gehalte. Die navorsingsgevolgtrekking, wat op grond van sekondêre navorsing gemaak is, stel 'n model van lae-inkomste-verbruikersbesluitneming voor wat deur verskeie faktore beïnvloed word, insluitend 'n afkeer van verlies en die begeerte om aspirasies te bevredig. Wisselende vlakke van handelsmerkkennis, handelsmerkgehalte en -geloofwaardigheid, asook die simboliese waarde wat aan verskillende handelsmerke geheg word soos waargeneem deur lae-inkomste-verbruikers, beïnvloed sowel individue se afkeer van verlies as hulle aspirasionele behoeftes, en beïnvloed dus die besluitnemingsproses. Daar is gevind dat afleidings omtrent prys, prys teenoor gehalte en handelsmerk teenoor gehalte, handelsmerkbekendheid, sielkundige faktore en faktore vanuit die aankoopkonteks 'n invloed het op die besluitnemingsproses van individue binne hierdie marksegment. Bestuursaanbevelings beklemtoon die belangrikheid van die BOP as 'n lewensvatbare marksegment, waarsku bemarkers teen laekoste-prysingstrategieë, en bespreek die belang daarvan om waardegebaseerde strategieë te gebruik en handelsmerke te hefboom om verbruikers in hierdie marksegment te lok, te bevredig en te behou. Bestuurders word uitgedaag om 'n balans te vind tussen waargenome gehalte en betroubaarheid en bekostigbare pryse, ten einde suksesvol in die lae-inkomstemark te funksioneer en doeltreffende waardeproposisies te bied wat verbruikersbevrediging verskaf, maar steeds ruimte laat vir volgehoue verkope en winste vir die firma.
Books on the topic "Decision-making proce"
Habuda, Ludwik. Administracja i polityka: Proces decyzyjny w administracji publicznej. Wrocław: Wydawn. Uniwersytetu Wrocławskiego, 2000.
Find full textAepli, Pierre. Proces donošenja odluka u policiji: Operacije i upravljanje. Beograd: Kriminalističko-policijska akademija, 2012.
Find full textCrvenkovska, Biljana. Devet prikazni za gospoǵica Sit: Roman-sontazija. Skopje: Čudna šuma, 2019.
Find full text1951-, Ilic Marija D., ed. Price-based commitment decisions in the electricity market. London: Springer, 1999.
Find full textCurrent cost/constant dollar accounting and its uses in the managerial decision-making process. Fayetteville: University of Arkansas, 1986.
Find full textRetail category management: Decision support systems for assortment, shelf space, inventory and price planning. Heidelberg: Springer, 2011.
Find full texteditor, Rytel-Warzocha Anna, ed. Prace Sejmu RP VI i VII kadencji: Zbiór opinii konstytucyjnoprawnych. Gdańsk: Wydawnictwo Uniwersytetu Gdańskiego, 2015.
Find full textOffice, General Accounting. Decision making process for farm program policies needs to be improved: Report to the Secretary of Agriculture. Washington, D.C: The Office, 1985.
Find full textMehlman, Maxwell J. The price of perfection: Individualism and society in the era of biomedical enhancement. Baltimore: Johns Hopkins University Press, 2009.
Find full textBarberis, Nicholas. Prospect theory and asset prices. Cambridge, MA: National Bureau of Economic Research, 1999.
Find full textBook chapters on the topic "Decision-making proce"
Adams, John, and Linda Juleff. "Non-price competition." In Managerial economics for Decision Making, 195–223. London: Macmillan Education UK, 2013. http://dx.doi.org/10.1007/978-0-230-21432-3_8.
Full textOviedo-Gómez, Andrés, Juan Manuel Candelo-Viáfara, and Diego Fernando Manotas-Duque. "Bitcoin Price Forecasting Through Crypto Market Variables: Quantile Regression and Machine Learning Approaches." In Handbook on Decision Making, 253–71. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-08246-7_11.
Full textMacLean, Leonard, and Yonggan Zhao. "Asset Price Dynamics: Shocks and Regimes." In Optimal Financial Decision Making under Uncertainty, 35–53. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41613-7_2.
Full textBao, Helen. "Endowment effect and house price determination." In Behavioural Science and Housing Decision Making, 78–94. Abingon, Oxon : Routledge, 2020.: Routledge, 2020. http://dx.doi.org/10.1201/9780429027253-6.
Full textXiao, Jitian, and Panida Subsorn. "A New Latex Price Forecasting Model to Reduce the Risk of Rubber Overproduction in Thailand." In Handbook on Decision Making, 191–203. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25755-1_10.
Full textHaws, Kelly L. "How does price influence food decision making?" In Mapping Out Marketing, 127–29. Abingdon, Oxon ; New York, NY : Routledge, 2018.: Routledge, 2018. http://dx.doi.org/10.4324/9781315112602-38.
Full textLu, Yuan. "Price Decision-making: Economic Motives and Societal Constraints." In Management Decision-Making in Chinese Enterprises, 57–79. London: Palgrave Macmillan UK, 1996. http://dx.doi.org/10.1007/978-1-349-25037-0_5.
Full textLangbort, Cédric. "A Mechanism Design Approach to Dynamic Price-Based Control of Multi-Agent Systems." In Distributed Decision Making and Control, 113–29. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2265-4_5.
Full textSankarakumaraswamy, Saravanya, Arshinder Kaur, Chandrasekharan Rajendran, and Hans Ziegler. "A Study on Inventory Models for Perishable Items in a Serial Supply Chain Operating with Price Markdowns." In Studies in Quantitative Decision Making, 75–98. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-5820-4_4.
Full textOzenbas, Deniz, Michael S. Pagano, Robert A. Schwartz, and Bruce W. Weber. "Experiencing Market Dynamics with TraderEx: A Trading Decision-Making Simulation." In Classroom Companion: Business, 87–100. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74817-3_5.
Full textConference papers on the topic "Decision-making proce"
Caccianiga, Guido, and Katherine J. Kuchenbecker. "Dense 3D Reconstruction Through Lidar: A New Perspective on Computer-Integrated Surgery." In The Hamlyn Symposium on Medical Robotics: "MedTech Reimagined". The Hamlyn Centre, Imperial College London London, UK, 2022. http://dx.doi.org/10.31256/hsmr2022.31.
Full textXin, Cheng, Siqi Chen, and Yaqiong Liu. "Research on Information Price of Prefabricated Power Equipment and Materials." In 2021 International Conference on Big Data and Intelligent Decision Making (BDIDM). IEEE, 2021. http://dx.doi.org/10.1109/bdidm53834.2021.00038.
Full textSoni, Ankit, Nees Jan van Eck, and Uzay Kaymak. "Prediction of Stock Price Movements Based on Concept Map Information." In 2007 IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making. IEEE, 2007. http://dx.doi.org/10.1109/mcdm.2007.369438.
Full textFang, Yanli, Yan Chen, and Xin Li. "Joint decision making about price and duration of discount airfares." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8289845.
Full textChawda, Sandeep, Parul Mathuria, Rohit Bhakar, Sreenu Sreekumar, Vivek Prakash, and Falti Teotia. "Retailer risk-based trading decision making model under price responsive demand." In 2017 6th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA). IEEE, 2017. http://dx.doi.org/10.1109/cera.2017.8343321.
Full textStalovinaitė, Ilona, Nijolė Maknickienė, and Raimonda Martinkutė-Kaulienė. "Investigation of decision making support in digital trading." In 11th International Scientific Conference „Business and Management 2020“. VGTU Technika, 2020. http://dx.doi.org/10.3846/bm.2020.510.
Full textAlamaniotis, Miltiadis, and Georgios Karagiannis. "ELM-Fuzzy Method for Automated Decision-Making in Price Directed Electricity Markets." In 2019 16th International Conference on the European Energy Market (EEM). IEEE, 2019. http://dx.doi.org/10.1109/eem.2019.8916549.
Full textCui, Peng, and Hui Wang. "Decision-making System of Travel Route Price Comparison Based on Cloud Computing." In 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016). Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/iceeecs-16.2016.56.
Full textReicherts, Leon, Gun Woo Park, and Yvonne Rogers. "Extending Chatbots to Probe Users: Enhancing Complex Decision-Making Through Probing Conversations." In CUI 2022: 4th Conference on Conversational User Interfaces. New York, NY, USA: ACM, 2022. http://dx.doi.org/10.1145/3543829.3543832.
Full textKhuziakhmetova, Guzel, Vitaly Martynov, and Kai Heinrich. "DSS for Oil Price Prediction Using Machine Learning." In Proceedings of the 7th Scientific Conference on Information Technologies for Intelligent Decision Making Support (ITIDS 2019). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/itids-19.2019.17.
Full textReports on the topic "Decision-making proce"
Lempert, Robert J., Michelle Miro, and Diogo Prosdocimi. A DMDU Guidebook for Transportation Planning Under a Changing Climate. Edited by Benoit Lefevre and Ernesto Monter Flores. Inter-American Development Bank, February 2021. http://dx.doi.org/10.18235/0003042.
Full textNitz, Peter, and Jürgen Fluch. Collection of available solar process heat related national and trans-national research and funding programs. IEA SHC Task 64, April 2021. http://dx.doi.org/10.18777/ieashc-task64-2021-0001.
Full textConnors, Caitlin, Laura Malan, Murel Esposito, Claire Madden, Nefeli Trikka, Mel Cohen, Faun Rothery, et al. UK Public’s Interests, Needs and Concerns Around Food. Food Standards Agency, June 2022. http://dx.doi.org/10.46756/sci.fsa.ihw534.
Full textLagutin, Andrey, and Tatyana Sidorina. SYSTEM OF FORMATION OF PROFESSIONAL AND PERSONAL SELF-GOVERNMENT AMONG CADETS OF MILITARY INSTITUTES. Science and Innovation Center Publishing House, December 2020. http://dx.doi.org/10.12731/self-government.
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