A model of organisational knowledge management maturity based on people, process, and technology

10.1142/S0219649209002270Journal of Information and Knowledge Management8279-9

Beyond measuring the human resources management- organizational performance link: applying Critical Realist meta-theory

One response to the possible outsourcing of the human resource (HR) function is to turn to 'science' and seek to demonstrate an empirical association between HR practices and increased organizational performance. This paper critically examines the shortcomings of the 'scientific' approach by first, reviewing the three distinctive versions of research on the Human Resources Management (HRM)-Performance link in an attempt to demonstrate their commitment to a common 'scientific' meta-theory. Second, we use critical realism to demonstrate: (1) that theoretical underdevelopment and lack of explanatory power are encouraged by the use of an inappropriate 'scientific' meta-theory; (2) the possibility of meta-theorizing the causal connection between HRM and performance without seeking statistical associations; and (3) how all this is in-keeping with Institutional theory. Finally, all of this is achieved by inserting evidence from interviews with HR professionals to demonstrate not only that they are sceptical of the 'scientific' approach, but also that they hold views of the world not dissimilar to the critical realist approach we advocate. Copyright © 2006 SAGE

Considering Knowledge Uptake within a Cycle of Transforming Data, Information, and Knowledge

Knowledge uptake, having decision makers assimilate the ideas of experts, is recognized as an important stimulus to bringing about policy change. This is particularly true in the realm of environmental policymaking, which is characterized by knowledge intensity, complexity, and multifaceted concerns. Using examples from an innovative watershed management organization, this article presents a heuristic for understanding how knowledge uptake occurs within a cycle of organizational reasoning. This cycle is driven by activities that transform data, information, and knowledge and that link specialists with decision makers. The heuristic can be used as a diagnostic tool to identify breaks in the transformation process that impede mandate fulfillment and impair capacity building. Lack of appreciation of the dynamic relationship between data, information and knowledge leads to mistimed and ineffective policy interventions that do not result in the hoped for progress in science intended to underpin policy advances. Copyright 2006 by The Policy Studies Organization.