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020 _a9789401794275
_9978-94-017-9427-5
024 7 _a10.1007/978-94-017-9427-5
_2doi
035 _ato000562539
040 _aSpringer
_cSpringer
_dRU-ToGU
050 4 _aK4240-4343
050 4 _aK1401-1578.25
072 7 _aLN
_2bicssc
072 7 _aLAW051000
_2bisacsh
082 0 4 _a343.099
_223
100 1 _aVallb, Joan-Josep.
_eauthor.
_9471290
245 1 0 _aFrameworks for Modeling Cognition and Decisions in Institutional Environments
_helectronic resource
_bA Data-Driven Approach /
_cby Joan-Josep Vallb.
260 _aDordrecht :
_bSpringer Netherlands :
_bImprint: Springer,
_c2015.
300 _aXX, 232 p. 31 illus., 9 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 1 _aLaw, Governance and Technology Series,
_x2352-1902 ;
_v21
505 0 _aForeword; Pompeu Casanovas and Pablo Noriega -- Acknowledgements -- 1 Introduction -- Part I Foundations -- 2 Decisions and organizations -- 3 Bounded rationality and organizations -- Part II Data Analysis -- 4 Empirical context -- 5 Representing organizational uncertainty.-6 Conclusions and further work -- Index.
520 _aThis book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents a reliable strategy of knowledge acquisition for the design and implementation of decision-support systems. Based on the distinction between the inner and outer environment of decisions, the book explores both the cognitive mechanisms at work when actors decide, and the institutional mechanisms existing among and within organizations that make decisions fairly predictable. While a great deal of work has been done on how organizations act as patterns of events for (boundedly) rational decisions, less effort has been devoted to study under which circumstances organizations cease to act as such reliable mechanisms. Through an empirical strategy on open-ended response data from a survey among junior judges, the work pursues two main goals. The first one is to explore the limits of “institutional rationality” of the Spanish lower courts on-call service, an optimal scenario to observe decision-making under uncertainty. The second aim is to achieve a better understanding of the kind of uncertainty under which inexperienced decision-makers work. This entails exploring the demands imposed by problems and the knowledge needed to deal with them, making this book also a study on expertise achievement in institutional environments. This book combines standard multivariate statistical methods with machine learning techniques such as multidimensional scaling and topic models, treating text as data. Doing so, the book contributes to the collaboration between empirical social scientific approaches and the community of scientists that provide the set of tools and methods to make sense of the fastest growing resource of our time: data.
650 0 _alaw.
_9303702
650 0 _aPolitical science.
_9131496
650 0 _acomputers.
_9460101
650 0 _aLaw and legislation.
_9462982
650 0 _aLaw
_xPhilosophy.
_9294176
650 0 _aInternational law.
_9126072
650 0 _aIntellectual property
_xLaw and legislation.
_9463989
650 0 _aStatistics.
_9124796
650 0 _apublic administration.
_9284801
650 1 4 _aLaw.
_9303702
650 2 4 _aInternational IT and Media Law, Intellectual Property Law.
_9413425
650 2 4 _aPolitical Science.
_9131496
650 2 4 _aFundamentals of Law.
_9567374
650 2 4 _aPublic Administration.
_9284801
650 2 4 _aStatistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
_9303278
650 2 4 _aLegal Aspects of Computing.
_9303938
710 2 _aSpringerLink (Online service)
_9143950
773 0 _tSpringer eBooks
830 0 _aLaw, Governance and Technology Series,
_9567372
856 4 0 _uhttp://dx.doi.org/10.1007/978-94-017-9427-5
912 _aZDB-2-SHU
999 _c417583