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Both economic research and the history of foreign aid suggest that the largest barriers to development arise from a society's institutions - its norms and rules. This book explains how institutions drive economic development. It provides numerous examples to illustrate the complex, interlocking, and persistent nature of real world rules and norms.

A conceptual and analytical framework for understanding economic institutions and institutional change. Markets are one of the most salient institutions produced by humans, and economists have traditionally analyzed the workings of the market mechanism. Recently, however, economists and others have begun to appreciate the many institution-related events and phenomena that have a significant impact on economic performance. Examples include the demise of the communist states, the emergence of Silicon Valley and e-commerce, the European currency unification, and the East Asian financial crises. In this book Masahiko Aoki uses modern game theory to develop a conceptual and analytical framework for understanding issues related to economic institutions. The wide-ranging discussion considers how institutions evolve, why their overall arrangements are robust and diverse across economies, and why they do or do not change in response to environmental factors such as technological progress, global market integration, and demographic change.

Economic Analysis of Institutions and Systems aims to redirect the study of what was previously referred to as comparative economic systems toward analysis of the history and development of institutions, and the effects of alternative institutional arrangements on economic behavior. To this end, the book internalizes into a theoretical framework: (i) the effects of alternative institutions on the costs of transactions and incentive structures; (ii) the effects of the costs of transactions and incentives on economic behavior, and (iii) the evidence for refutable implications of those effects. In the process, it provides the logical premises for various institutions from which refutable implications can be deduced.

Long a fruitful area of scrutiny for students of organizations, the study of institutions is undergoing a renaissance in contemporary social science. This volume offers, for the first time, both often-cited foundation works and the latest writings of scholars associated with the "institutional" approach to organization analysis. In their introduction, the editors discuss points of convergence and disagreement with institutionally oriented research in economics and political science, and locate the "institutional" approach in relation to major developments in contemporary sociological theory. Several chapters consolidate the theoretical advances of the past decade, identify and clarify the paradigm's key ambiguities, and push the theoretical agenda in novel ways by developing sophisticated arguments about the linkage between institutional patterns and forms of social structure. The empirical studies that follow—involving such diverse topics as mental health clinics, art museums, large corporations, civil-service systems, and national polities—illustrate the explanatory power of institutional theory in the analysis of organizational change. Required reading for anyone interested in the sociology of organizations, the volume should appeal to scholars concerned with culture, political institutions, and social change.

The digital transformation of higher education institutions has accelerated in the last decade due to the confluent development of digital technologies. Understanding how artificial intelligence-enabled changes and improvements in universities in relation to teaching, management, sustainability, and research allows researchers to understand the advances and identify the challenges that may arise. This knowledge provides technological instruments as well as cognitive, philosophical, and epistemological tools to address different current issues. Strategy, Policy, Practice, and Governance for AI in Higher Education Institutions offers both empirical and theoretical information focused on artificial intelligence and its various applications in higher education institutions. It includes research results, authoritative overview articles, high quality analysis on trends, comparative studies, and analysis of cases that focus on issues including ethical issues and risks for applying AI in higher education, policies to introduce AI in curricula, and applications in teaching and learning. Covering topics such as artificial intelligence ethics, energy efficiency, and postsecondary administrative leadership, this premier reference source is an essential resource for computer scientists, AI scientists, administration of higher education institutions, educators and faculty of higher education, pre-service teachers, researchers, IT professionals, and academicians.