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Peter M. Allen

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Peter M. Allen

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Peter M. Allen

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Professor Peter Allen

A methodology implies a purpose which here is to reveal and understand what patterns and structures exist in social systems and how, why and when they occur. In the natural sciences, we can perform repeatable experiments that allow us to find robust general laws by induction and make predictions about specific behaviour by deduction. In social systems, however, agents inhabiting a situation are really in co-evolution with each other and their environment, hence constantly changing over time. This makes induction for general laws much harder and predictions on the basis of deduction questionable. Complexity Science provides a ‘scientific’ basis for evolutionary, qualitative changes, revealing the impossibility of guaranteed prediction. We use several examples to show how complexity and evolution involve changing systems of changing elements – both qualitative and quantitative. Our interpretive frameworks (models) do not make predictions about the world but about themselves thus making, through reflexivity, evasive action more likely.

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Professor Peter Allen

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Hans-Peter Brunner and Peter Allen

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Peter Allen, Mark Strathern and James Baldwin

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Ihar Sahakiants, Marion Festing, Allen D. Engle and Peter J. Dowling

This chapter addresses the topic of total rewards policies and practices from an international comparative perspective. The authors consider the potential for international rewards systems to converge across the globe, discussing whether they can be standardized in multinational corporations. The chapter provides insights into comparative data on reward packages for managers across countries, raising important questions on the future directions for research including issues such as the social acceptability of executive pay.

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Marion Festing, Allen D. Engle, Peter J. Dowling and Ihar Sahakiants