Synopsis
What is a 'good' outcome? In relation to others, and in relation to the past? Commonly associated with the ideas of benchmarking and baselining, comparative assessment is an important part of organizational management, but this broadly defined undertaking lacks clear conceptual framing and methodological foundations. At the same time, the readily available transactional data make robust tracking and measurement possible at an unprecedented scale, but also accentuate the impact of assessment paradox: To be truly meaningful, exact magnitudes-expressed values often need to be 'translated' into qualitative, assessment-laden categories, but that task is impeded by lack of established approaches for doing so.
Inspired by these observations, Probabilistic Benchmarking frames the notions of benchmarking and baselining as two complementary but distinct mechanisms of comparative assessment that make use of informational contents of organizational data to contribute unbiased, systematic, and consistent evaluation of outcomes or states of interest. In that general context, this book provides much-needed conceptual and methodological clarity to guide construction and use of benchmarks and baselines, and re-casts the idea of assessment standards in the context of data-derived estimates, to better align the practice of comparative assessment with the emerging realities of the Age of Data.
This pioneering research-based but application-minded book bridges the gap between theory and practice. It will greatly benefit professionals, business students and others interested in the broad domain of organizational assessment.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Andrew Banasiewicz, Merrimack College, North Andover, USA
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Paperback. Etat : New. What is a 'good' outcome? In relation to others, and in relation to the past? Commonly associated with the ideas of benchmarking and baselining, comparative assessment is an important part of organizational management, but this broadly defined undertaking lacks clear conceptual framing and methodological foundations. At the same time, the readily available transactional data make robust tracking and measurement possible at an unprecedented scale, but also accentuate the impact of assessment paradox: To be truly meaningful, exact magnitudes-expressed values often need to be 'translated' into qualitative, assessment-laden categories, but that task is impeded by lack of established approaches for doing so. Inspired by these observations, Probabilistic Benchmarking frames the notions of benchmarking and baselining as two complementary but distinct mechanisms of comparative assessment that make use of informational contents of organizational data to contribute unbiased, systematic, and consistent evaluation of outcomes or states of interest. In that general context, this book provides much-needed conceptual and methodological clarity to guide construction and use of benchmarks and baselines, and re-casts the idea of assessment standards in the context of data-derived estimates, to better align the practice of comparative assessment with the emerging realities of the Age of Data. This pioneering research-based but application-minded book bridges the gap between theory and practice. It will greatly benefit professionals, business students and others interested in the broad domain of organizational assessment. N° de réf. du vendeur LU-9783110999792
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Paperback. Etat : New. What is a 'good' outcome? In relation to others, and in relation to the past? Commonly associated with the ideas of benchmarking and baselining, comparative assessment is an important part of organizational management, but this broadly defined undertaking lacks clear conceptual framing and methodological foundations. At the same time, the readily available transactional data make robust tracking and measurement possible at an unprecedented scale, but also accentuate the impact of assessment paradox: To be truly meaningful, exact magnitudes-expressed values often need to be 'translated' into qualitative, assessment-laden categories, but that task is impeded by lack of established approaches for doing so. Inspired by these observations, Probabilistic Benchmarking frames the notions of benchmarking and baselining as two complementary but distinct mechanisms of comparative assessment that make use of informational contents of organizational data to contribute unbiased, systematic, and consistent evaluation of outcomes or states of interest. In that general context, this book provides much-needed conceptual and methodological clarity to guide construction and use of benchmarks and baselines, and re-casts the idea of assessment standards in the context of data-derived estimates, to better align the practice of comparative assessment with the emerging realities of the Age of Data. This pioneering research-based but application-minded book bridges the gap between theory and practice. It will greatly benefit professionals, business students and others interested in the broad domain of organizational assessment. N° de réf. du vendeur LU-9783110999792
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Taschenbuch. Etat : Neu. Neuware - What is a 'good' outcome In relation to others, and in relation to the past Commonly associated with the ideas of benchmarking and baselining, comparative assessment is an important part of organizational management, but this broadly defined undertaking lacks clear conceptual framing and methodological foundations. At the same time, the readily available transactional data make robust tracking and measurement possible at an unprecedented scale, but also accentuate the impact of assessment paradox: To be truly meaningful, exact magnitudes-expressed values often need to be 'translated' into qualitative, assessment-laden categories, but that task is impeded by lack of established approaches for doing so. Inspired by these observations, Probabilistic Benchmarking frames the notions of benchmarking and baselining as two complementary but distinct mechanisms of comparative assessment that make use of informational contents of organizational data to contribute unbiased, systematic, and consistent evaluation of outcomes or states of interest. In that general context, this book provides much-needed conceptual and methodological clarity to guide construction and use of benchmarks and baselines, and re-casts the idea of assessment standards in the context of data-derived estimates, to better align the practice of comparative assessment with the emerging realities of the Age of Data. This pioneering research-based but application-minded book bridges the gap between theory and practice. It will greatly benefit professionals, business students and others interested in the broad domain of organizational assessment. N° de réf. du vendeur 9783110999792
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Probabilistic Benchmarking : Norm-Setting in the Age of Big Data
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 261 | Sprache: Englisch | Produktart: Bücher | What is a 'good' outcome? In relation to others, and in relation to the past? Commonly associated with the ideas of benchmarking and baselining, comparative assessment is an important part of organizational management, but this broadly defined undertaking lacks clear conceptual framing and methodological foundations. At the same time, the readily available transactional data make robust tracking and measurement possible at an unprecedented scale, but also accentuate the impact of assessment paradox: To be truly meaningful, exact magnitudes-expressed values often need to be 'translated' into qualitative, assessment-laden categories, but that task is impeded by lack of established approaches for doing so. Inspired by those observations, Probabilistic Benchmarking and Baselining frames the notions of benchmarking and baselining as two complementary but distinct mechanisms of comparative assessment that make use of informational contents of organizational data to contribute unbiased, systematic, and consistent evaluation of outcomes or states of interest. In that general context, this book provides much-needed conceptual and methodological clarity to guide construction and use of benchmarks and baselines, and re-casts the idea of assessment standards in the context of data-derived estimates, to better align the practice of comparative assessment with the emerging realities of the Age of Data. This pioneering research-based but application-minded book bridges the gap between theory and practice. It will greatly benefit professional, business students and others interested in the broad domain of organizational assessment. N° de réf. du vendeur 42815548/12
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