Technology for enabling : the implications for management science of a hermeneutics of distinction

One way of describing this thesis, is to state that it attempts to explicate the context within which an application of Stafford Beer's Viable System Model (VSM) makes cybernetic sense. The thesis will attempt to explain how such a context is presently not clearly ennunciated, and why such a lack hinders communications of the model together with its consequent effective take-up by the student or practitioner. The epistemological grounding of the VSM will be described as concerning the ontology of the individuals who apply it and give witness to its application. In describing a particular grounding for the Viable System Model, I am instantiating a methodology which I call a `hermeneutics of distinction'. The final two chapters explicate such a methodology, and consider the implications for the design of a computer system. This thesis is grounded in contemporary insights into the nervous system, and research into the biology of language and cognition. Its conclusions emerge from a synthesis of the twin discourses of Stafford Beer and Humberto Maturana.

On a distinction between casual and formative variable models:theoretical issues and practical implications for organizational researchers

Formative measurement has seen increasing acceptance in organizational research since the turn of the 21st Century. However, in more recent times, a number of criticisms of the formative approach have appeared. Such work argues that formatively-measured constructs are empirically ambiguous and thus flawed in a theory-testing context. The aim of the present paper is to examine the underpinnings of formative measurement theory in light of theories of causality and ontology in measurement in general. In doing so, a thesis is advanced which draws a distinction between reflective, formative, and causal theories of latent variables. This distinction is shown to be advantageous in that it clarifies the ontological status of each type of latent variable, and thus provides advice on appropriate conceptualization and application. The distinction also reconciles in part both recent supportive and critical perspectives on formative measurement. In light of this, advice is given on how most appropriately to model formative composites in theory-testing applications, placing the onus on the researcher to make clear their conceptualization and operationalisation.