The idea of using models to inform business practice seems appealing, as it suggests the abstraction and control of a large, complex subject by means of a smaller, easily manipulated mechanism. In reality, however, many models prove inadequate when translated into business methods. Monitoring Business Performance – Models, Methods and Tools elucidates how the assumptions and perceptions that guide performance assessment are often based on models that are poor interpretations and descriptions of reality.
In this book, the author scrutinizes the models underlying a number of well-known business methods and tools, and sheds light on the assumptions and subjective perceptions that undermine their effectiveness. In doing so, he offers a unique criticism of accepting business models without questioning their relevance and applicability, and highlights the need to treat models as hypotheses, rather than as certainties.
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Per Lind is Professor in Industrial Economics and Management at Uppsala University, Sweden. He received his doctoral degree from Royal Institute of Technology, Stockholm. He has experience with management in industry (production, marketing) with IBM and Logica, and developed business monitoring systems for UNIDO. He is author of Computerisation in Developing Countries (Routledge, 1991), Small Business Management in Cross-Cultural Environments (Routledge, 2012) and about 60 other publications in English, Spanish and Russian.
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Paperback. Condición: new. Paperback. The idea of using models to inform business practice seems appealing, as it suggests the abstraction and control of a large, complex subject by means of a smaller, easily manipulated mechanism. In reality, however, many models prove inadequate when translated into business methods. Monitoring Business Performance Models, Methods and Tools elucidates how the assumptions and perceptions that guide performance assessment are often based on models that are poor interpretations and descriptions of reality.In this book, the author scrutinizes the models underlying a number of well-known business methods and tools, and sheds light on the assumptions and subjective perceptions that undermine their effectiveness. In doing so, he offers a unique criticism of accepting business models without questioning their relevance and applicability, and highlights the need to treat models as hypotheses, rather than as certainties. Performance assessment is often based on models that are poor interpretations or descriptions of reality. This book examines the models underlying popular business methods and tools and highlights the assumptions that undermine their effectiveness. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9781138617971
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Paperback. Condición: new. Paperback. The idea of using models to inform business practice seems appealing, as it suggests the abstraction and control of a large, complex subject by means of a smaller, easily manipulated mechanism. In reality, however, many models prove inadequate when translated into business methods. Monitoring Business Performance Models, Methods and Tools elucidates how the assumptions and perceptions that guide performance assessment are often based on models that are poor interpretations and descriptions of reality.In this book, the author scrutinizes the models underlying a number of well-known business methods and tools, and sheds light on the assumptions and subjective perceptions that undermine their effectiveness. In doing so, he offers a unique criticism of accepting business models without questioning their relevance and applicability, and highlights the need to treat models as hypotheses, rather than as certainties. Performance assessment is often based on models that are poor interpretations or descriptions of reality. This book examines the models underlying popular business methods and tools and highlights the assumptions that undermine their effectiveness. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Nº de ref. del artículo: 9781138617971
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