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Application of Decision Science in Business and Management is a book where each chapter has been contributed by a different author(s). The chapters introduce and demonstrate a decision-making theory to practice case studies. It demonstrates key results for each sector with diverse real-world case studies. Theory is accompanied by relevant analysis techniques, with a progressive approach building from simple theory to complex and dynamic decisions with multiple data points, including big data, lot of data, etc. Computational techniques, dynamic analysis, probabilistic methods, and mathematical optimization techniques are expertly blended to support analysis of multi-criteria decision-making problems with defined constraints and requirements. The book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning abilities of decision making. It is complementary to other sub-disciplines such as economics, finance, marketing, decision and risk analysis, etc.
Institutions - the structures, practices, and meanings that define what people and organizations think, do, and aspire to - are created through process. They are 'work in progress' that involves continual efforts to maintain, modify, or disturb them. Institutional logics are also in motion, holding varying degrees of dominance that change over time. This volume brings together two streams of thought within organization theory - institutional theory and process perspective - to advocate for stronger process ontology that highlights institutions as emergent, generative, political, and social. A stronger process view allows us to challenge our understanding of central concepts within institutional theory, such as 'loose coupling', 'institutional work', the work of institutional logics on the ground, and institutionalization between diffusion and translation. Enriched with an emphasis on practice and widened by taking a broad view of institutions, this volume draws on the Ninth International Symposium on Process Organization Studies to offer key insights that will inform our thinking of institutions as processes.