The Center for

Workplace

Transformation

  Charles Heckscher and Saul Rubinstein, directors

  School of Management and Labor Relations Rutgers University

  50 Labor Center Way New Brunswick, New Jersey 08901-8553

  Tel: 732-932-9503   Email: info@cwt-ru.org 

Mission:

The Center for Workplace Transformation advances the knowledge and practice of the widespread move from bureaucratic hierarchies to team-based, flexible work systems that can leverage resources across boundaries. It does this by:
  1. building collaborative research networks and projects;
  2.  involving companies, unions, and other organizations in learning dialogues in which they can reflect on their experiences;
  3. providing education and consultation to organizations making this transition; and
  4. publicizing the case for organizational change and building a network of support.

Documents:

Research and publications:


We have tested the idea that teamwork in medical care can make a significant difference in patient outcomes through fieldwork in acute cardiac care units observing interactions among the different providers, from nurses to nutritionists to doctors, and explore their effects. A paper based on that research has been submitted for publication, and others are in preparation.

We conducted research on on the conditions for collaborative organization in over 25 companies; the results were published in The Collaborative Enterprise, Yale University Press 2007.

A project on “collaborative community” explored the problem of the creation and maintenance of trust in complex knowledge-focused organizations. This brought together sociologists and political scientists with business researchers and practitioners for a series of discussions that built a common theoretical framework and a set of linked empirical studies. The outcome was published in 2006 as The Firm as a Collaborative Community (Oxford University Press).
Research on accountability in complex team-based organizations, based on interviews and observations in seven companies, were the basis of a PhD dissertation by Carlos Martin.


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