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Frameworks for Modeling Cognition and Decisions in Institutional Environments = A Data-Driven Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Frameworks for Modeling Cognition and Decisions in Institutional Environments/ by Joan-Josep Vallbé.
其他題名:	A Data-Driven Approach /
作者:	Vallbé, Joan-Josep.
面頁冊數:	XX, 232 p. 31 illus., 9 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mass media. -
電子資源:	https://doi.org/10.1007/978-94-017-9427-5
ISBN:	9789401794275

Frameworks for Modeling Cognition and Decisions in Institutional Environments = A Data-Driven Approach /
Vallbé, Joan-Josep.

Frameworks for Modeling Cognition and Decisions in Institutional EnvironmentsA Data-Driven Approach /[electronic resource] :by Joan-Josep Vallbé. - 1st ed. 2015. - XX, 232 p. 31 illus., 9 illus. in color.online resource. - Law, Governance and Technology Series,212352-1902 ;. - Law, Governance and Technology Series,21.

Foreword; 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.

This 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.

ISBN: 9789401794275

Standard No.: 10.1007/978-94-017-9427-5doiSubjects--Topical Terms:

556421
Mass media.

LC Class. No.: K4240-4343

Dewey Class. No.: 343.099

Frameworks for Modeling Cognition and Decisions in Institutional Environments = A Data-Driven Approach /
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