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Some 20 years after the emergence of configurational theory as a key perspective in organization studies in the 1990s, this approach has yet to deliver on its promise. While we know that configurations the relative arrangement of parts and elements - matters, empirical research on configurations is just beginning to deliver on its promise.
This handbook provides a clear examination of case-oriented research. It defines case-based social research as a subfield of methodology.
This study on multilevel analysis cuts through the confusion surrounding the development and testing of multilevel theories. It illuminates processes and effects within organisations, synthesising and updating current theory.
This book explains psychological, sociopolitical and organisational change in multidisciplinary settings. It shows how advanced techniques of contextual analysis can be applied to complex situations and offers a new cybernetic agency paradigm based on living systems theory. It models, diagnoses, and analyses complex, realworld situations to anticipate patterns of behaviour.
Scholars have studied international organizations (IOs) in many disciplines, thus generating important theoretical developments. Yet a proper assessment and a broad discussion of the methods used to research these organizations are lacking. Which methods are being used to study IOs and in what ways? Do we need a specific methodology applied to the case of IOs? What are the concrete methodological challenges when doing research on IOs? International Organizations and Research Methods: An Introduction compiles an inventory of the methods developed in the study of IOs under the five headings of Observing, Interviewing, Documenting, Measuring, and Combining. It does not reconcile diverging views on the purpose and meaning of IO scholarship, but creates a space for scholars and students embedded in different academic traditions to reflect on methodological choices and the way they impact knowledge production on IOs.
In this guidebook, we have a powerful contribution to social science methodology in a context where methodology is contested, and is therefore political: different methodologies can produce quite different results or findings using the same evidence. The evidence in Ragin and Fiss s book is survey data. Ragin s has developed for 25 years a way to bridge the case study method and the large n statistical study. He calls it the set analytic method --making use of fuzzy sets to bridge the divide between quantitative and qualitative methods. Paradoxically, the fuzzy set is a powerful tool because it replaces an unwieldy, "fuzzy" instrumentthe variable, which establishes only the positions of cases relative to each other, with a precise onedegree of membership in a well-defined set. Now, with Intersectional Inequality, Ragin and his coauthor, Peter Fiss, show how the method works in application to a very mainstream sociological research topic. That topic, the use of IQ and school achievement tests as predictors of life chances, is advanced here by viewing cases intersectionally, i.e., in terms of the different ways they combine causally relevant conditions. The specific controversy they take up is the famous Bell Curve book of Charles Murray and Richard Herrnstein which argued that IQ is influenced by both inherited and environmental factors. Controversy has gone on for 20 years over which variable has the strongest impact on life changes: education, or test scores, or family background. The centrality, now more than ever, of education to American social and economic policy, compels close re-examination of traditional methods (and the blind spots of the so-called net-effects approach). By use of this sophisticated qualitative comparative analysis, Ragin and Fiss underscore the importance of racial differences in addressing social inequality in America today."
This timely Handbook provides a comprehensive guide to the methodological challenges of qualitative research in family business. Written by an international, multidisciplinary team of experts in the field, the Handbook provides practical guidance based on the experiences of senior researchers, and features reflective discussion on how to craft insightful, rigorous studies.
Networks and other collaborations are central to the public sector’s ability to respond to their diverse responsibilities, from international development and regional governance, to policy development and service provision. Great strides have been made toward understanding their formation, governance and management, but more opportunities to explore methodologies and measures is required to ensure they are properly understood. This volume showcases an array of selected research methods and analytics tools currently used by scholars and practitioners in network and collaboration research, as well as emerging styles of empirical investigation. Although it cannot attempt to capture all technical details for each one, this book provides a unique catalogue of compelling methods for researchers and practitioners, which are illustrated extensively with applications in the public and non-profit sector. By bringing together leading and upcoming scholars in network research, the book will be of enormous assistance in guiding students and scholars in public management to study collaboration and networks empirically by demonstrating the core research approaches and tools for investigating and evaluating these crucially important arrangements.
Embark on a riveting journey through the study of social complexity with The Atlas of Social Complexity. Over three decades of scientific exploration unfold, unravelling the enigmatic threads that compose the fabric of society. From the dance of bacteria, to human-machine interactions, to the ever-shifting dynamics of power in social networks, this Atlas maps the evolution of our understanding of social complexity.
Research can face artificial intelligence (AI) as an issue of technology development but also as an issue of enacted technology at work. Human-centered design of AI gives emphasis to the expertise and needs of human beings as a starting point of technology development or as an outcome of AI-based work settings. This is an important goal, as expressed, for example, by the international labor organization's call for a "human-centered agenda" for the future of AI and automation collaboration. This Research Topic raises the question of what human-centricity means, i.e. what are the criteria and indicators of human-centered AI and how can they be considered and implemented?