This volume is intended as a reference for those interested in the relationship between business strategy and business ethics, broadly conceived. Several articles have been selected from various leading journals in management, strategy and ethics. An introductory chapter provides an overview of the articles but it also relates them systematically to a fundamental dualism involving values, ethics and politics, all viewed from the perspective of business and business studies.

This work adopts a theoretical approach and focuses on strategic decision- making as a process. It describes decision-making as an activity performed by rational and biased individuals, and places an emphasis upon group dynamics and the organizational context.

This book grew out of the conviction that the preparation and management of large-scale technological projects can be substantially improved. We have witnessed the often unhappy course of societal and political decision making concerning projects such as hazardous chemical installations, novel types of electric power plant or storage sites for solid wastes. This has led us to believe that probabilistic risk analysis, technical reliability analysis and environm,ental impact analysis are necessary but insufficient for making acceptable, and justifiable, social decisions about such projects. There is more to socio-technical decision making than applying acceptance rules based on neglige ably low accident probabilities or on maximum credible accidents. Consideration must also be given to psychological, social and political issues and methods of decision making. Our conviction initially gave rise to an international experts' workshop titled 'Social decision methodology for technological projects' (SDMTP) and held in May 1986 at the University of Groningen, the Netherlands, at a time when Cvetkovich spent a sabbatical there. The work shop - aimed at surveying the issues and listing the methods to address them - was the first part of an effort whose second part was directed at the production of this volume. Plans called for the book to deal systematically with the main problems of socio-technical decision making; it was to list a number of useful approaches and methods; and it was to present a number of integrative conclusions and recommendations for both policy makers and methodologists.

In a ground-breaking series of articles, one of them written by a Nobel Laureate, this volume demonstrates the evolutionary dynamic and the transformation of today's democratic societies into scientific-democratic societies. It highlights the progress of modeling individual and societal evaluation by neo-Bayesian utility theory. It shows how social learning and collective opinion formation work, and how democracies cope with randomness caused by randomizers. Nonlinear `evolution equations' and serial stochastic matrices of evolutionary game theory allow us to optimally compute possible serial evolutionary solutions of societal conflicts. But in democracies progress can be defined as any positive, gradual, innovative and creative change of culturally used, transmitted and stored mentifacts (models, theories), sociofacts (customs, opinions), artifacts and technifacts, within and across generations. The most important changes are caused, besides randomness, by conflict solutions and their realizations by citizens who follow democratic laws. These laws correspond to the extended Pareto principle, a supreme, socioethical democratic rule. According to this principle, progress is any increase in the individual and collective welfare which is achieved during any evolutionary progress. Central to evolutionary modeling is the criterion of the empirical realization of computed solutions. Applied to serial conflict solutions (decisions), evolutionary trajectories are formed; they become the most influential causal attractors of the channeling of societal evolution. Democratic constitutions, legal systems etc., store all advantageous, present and past, adaptive, competitive, cooperative and collective solutions and their rules; they have been accepted by majority votes. Societal laws are codes of statutes (default or statistical rules), and they serve to optimally solve societal conflicts, in analogy to game theoretical models or to statistical decision theory. Such solutions become necessary when we face harmful or advantageous random events always lurking at the edge of societal and external chaos. The evolutionary theory of societal evolution in democracies presents a new type of stochastic theory; it is based on default rules and stresses realization. The rules represent the change of our democracies into information, science and technology-based societies; they will revolutionize social sciences, especially economics. Their methods have already found their way into neural brain physiology and research into intelligence. In this book, neural activity and the creativity of human thinking are no longer regarded as linear-deductive. Only evolutive nonlinear thinking can include multiple causal choices by many individuals and the risks of internal and external randomness; this serves the increasing welfare of all individuals and society as a whole. Evolution and Progress in Democracies is relevant for social scientists, economists, evolution theorists, statisticians, philosophers, philosophers of science, and interdisciplinary researchers.

When I started with this book several years ago I originally intended to write an introduction to mathematical systems theory for social scientists. Yet the more I thought about systems theory on the one side and theoretical sociology on the other the more I became convinced that the classical mathematical tools are not very well suited for the problems of sociology. Then I became acquainted with the researches on complex systems by the Santa Fe Institute and in particular with cellular automata, Boolean networks and genetic algorithms. These mathematically very simple but extremely efficient tools are, in my opinion, very well appropriate for modeling social dynamics. Therefore I tried to reformulate several classical problems of theoretical sociology in terms of these formal systems and outline new possibilities for a mathematical sociology which is able to join immediately on the great traditions of theoretical sociology. The result is this book; whether I succeeded with it is of course up to the readers. As the readers will perceive, the book could not have been written by me alone but only by the joint labors of the computer group at the Interdisciplinary Center of Research in Higher Education at the University of Essen. The members of the group, Christina Stoica, Jom Schmidt and Ralph Kier, are named in several subchapters as co-authors. Yet even more important than their contributions to this book were the permanent discussions with them and their patience with my new and very speculative ideas. Many thanks.

Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed.

Olof Dahlbäck's book breaks new ground for the analysis of crime from a rationality perspective by presenting models and methods that go far beyond those with which researchers have hitherto been equipped. The book examines single crimes, individual criminality, and societal crime, and it discusses thoroughly the general decision theoretical presuppositions necessary for analyzing these various types of crime. An expected utility maximization model for a single discrete choice regarding the commission of a crime is the foundation of most of the analyses presented. A version of this model is developed that permits interpersonal comparisons, and this basic model is used when deriving more complex models of crime as well as when analyzing the potential for such derivations. The rigorous, powerful methods suggested provide considerable opportunities for improving research and for seeing old problems in a new light.

Ten original essays examine the central themes of John Searle’s ontology of society. Written by an international team of philosophers and social scientists, the essays contribute to a deeper understanding of Searle’s work. Moreover, these essays open the door to new approaches to addressing fundamental questions about social phenomena. This book also features a new essay by Searle himself that summarizes and further develops his work.

This work for the first time brings together case law and law based on norms. It offers the reader a survey and a new explanation of evolutionary emergence of social contracts and constitutions in the European history, and should help to build a bridge between 'two cultures', science and humanities. It is addressed to philosophers of law, historians of law, theorists of science and social scientists.