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This conference proceedings examines the role social sciences can play in developing sound policy.
This book explores several branches of the social sciences and their perspectives regarding their relations with decision-making processes: computer science, education, linguistics, sociology, and management. The decision-making process in social contexts is based on the analysis of sound alternatives using evaluative criteria. Therefore, this process is one that can be rational or irrational, and can be based on knowledge and/or beliefs. A decision-making process always produces a final decision, which may or may not imply prompt action, and increases the chances of choosing the best possible alternative. The book is divided into four main parts. The concepts covered in the first part, on computer science, explore how the rise of algorithms and the growth in computing power over the years can influence decision-making processes. In the second part, some traditional and innovative ideas and methods used in education are presented: compulsory schooling, inclusive schools, higher education, etc. In turn, the third part focuses on linguistics aspects, and examines how progress is manifested in language. The fourth part, on sociology, explores how society can be influenced by social norms, human interactions, culture, and religion. Management, regarded as a science of the decision-making process, is explored in the last part of this book. Selected organizations strategies, objectives and resources are presented, e.g., human resources, financial resources, and technological resources. The book gathers and presents, in a concise format, a broad range of aspects regarding the decision-making process in social contexts, making it a valuable and unique resource for the scientific community.
This book provides an in-depth discussion of the promises and perils of specific types of theories of choice. It shows how the selection of a specific theory of choice can make a difference for concrete legal questions, in particular in the regulation of the digital economy or in choosing between market, firm, or network.
Social workers regularly make high-risk, high-impact decisions: determining that a child has been abused; that an individual may take their own life; or that someone with a history of violence poses harm to another. In the course of this work, social workers are exposed to acute and prolonged workplace trauma and stress that may result in posttraumatic stress, compassion fatigue, and burnout. These effects not only impact practitioners, but also the decisions that social workers make and ultimately the quality of the services that they provide. In this book, Cheryl Regehr explores the intersection between workplace stress, trauma exposure, and professional decision-making in social workers. She weaves together practice experience, research on the impact of stress and trauma on performance and decision-making in other high-risk professions including paramedics and police officers, and the empirical study of competence and decision-making in social work practice. Covering a wide range of research and theory, she surveys practical approaches to reducing stress and trauma exposure, mitigating their effects in social work practice, and improving decision-making. This book is critical reading for all social workers who engage in high-stakes decision-making, from those newly embarking on a career to expert practitioners.
This practical, user-friendly guide examines ethics in research. It helps researchers to manage ethical dilemmas that arise while research is being planned, conducted and reported and includes a unique 'ethical review checklist', as well as other useful features, to aid ethics in practice.
This book gathers an expert group of social scientists to showcase emerging forms of analysis and evaluation for public policy analysis. Each chapter highlights a different method or approach, putting it in context and highlighting its key features before illustrating its application and potential value to policy makers. Aimed at upper-level undergraduates in public policy and social work, it also has much to offer policy makers and practitioners themselves.
This book explores several branches of the social sciences and their perspectives regarding their relations with decision-making processes: computer science, education, linguistics, sociology, and management. The decision-making process in social contexts is based on the analysis of sound alternatives using evaluative criteria. Therefore, this process is one that can be rational or irrational, and can be based on knowledge and/or beliefs. A decision-making process always produces a final decision, which may or may not imply prompt action, and increases the chances of choosing the best possible alternative. The book is divided into four main parts. The concepts covered in the first part, on computer science, explore how the rise of algorithms and the growth in computing power over the years can influence decision-making processes. In the second part, some traditional and innovative ideas and methods used in education are presented: compulsory schooling, inclusive schools, higher education, etc. In turn, the third part focuses on linguistics aspects, and examines how progress is manifested in language. The fourth part, on sociology, explores how society can be influenced by social norms, human interactions, culture, and religion. Management, regarded as a science of the decision-making process, is explored in the last part of this book. Selected organizations’ strategies, objectives and resources are presented, e.g., human resources, financial resources, and technological resources. The book gathers and presents, in a concise format, a broad range of aspects regarding the decision-making process in social contexts, making it a valuable and unique resource for the scientific community.
Decision making is a complex phenomenon which normally is deeply integrated into social life. At the same time the decision making process often gives the decision maker an opportunity for conscious planning and for taking a reflective stance with respect to the action considered. This suggests that decision making allows creative solutions with a potential to change the course of events both on an individual and a collective level. Given these considerations, we argue that in order to more fully understand decision making the perspectives of different disciplines are needed. In this volume we have attempted to draw together contributions that would provide a broad view of decision making. Much work has been carried out in the writing and editing of this volume. First of all we would like to thank the contributors for their efforts in producing interesting and important texts and for their patience in the editorial process. Each chapter was edited by two or three reviewers. These reviewers are listed on a separate page in this book. Our heartfelt thanks go to them for their time and for their incisive and constructive reviews! We are also grateful to the publishing editors at Kluwer Academic Publishers, Christiane Roll and Dorien Francissen, who have been generous with their encouragement and patience throughout the editorial process.
This mono graph is intended for an advanced undergraduate or graduate course as weIl as for the researchers who want a compilation of developments in this rapidly growing field of operations research. This is a sequel to our previous work entitled "Multiple Objective Decision Making--Methods and Applications: A State-of-the-Art Survey," (No. 164 of the Lecture Notes). The literature on methods and applications of Multiple Attribute Decision Making (MADM) has been reviewed and classified systematically. This study provides readers with a capsule look into the existing methods, their char acteristics, and applicability to analysis of MADM problems. The basic MADM concepts are defined and a standard notation is introduced in Part 11. Also introduced are foundations such as models for MADM, trans formation of attributes, fuzzy decision rules, and methods for assessing weight. A system of classifying seventeen major MADM methods is presented. These methods have been proposed by researchers in diversified disciplines; half of them are classical ones, but the other half have appeared recently. The basic concept, the computational procedure, and the characteristics of each of these methods are presented concisely in Part 111. The computational procedure of each method is illustrated by solving a simple numerical example. Part IV of the survey deals with the applications of these MADM methods.