Kenneth D. Mackenzie (born 1937) is an American organizational theorist, former professor at the University of Kansas and management consultant. He is known for his early work on the "Theory of Group Structures"[1] and his later work on organizational design[2]
Mackenzie received his BA in mathematics with a minor in Physics in 1960 from the University of California, Berkeley, where in 1964 he also obtained his Ph.D. in Business Administration.[3]
After his graduation Mackenzie started his academic career in 1964 at the Carnegie-Mellon University as assistant professor of economics. In 1967 he moved to the Wharton School of the University of Pennsylvania at the University of Pennsylvania.[3] In 1972 he moved to the University of Kansas, where he was appointed Edmund P. Learned Distinguished Professor from January 1972 to January 2006. He further taught at U.C. Berkeley, University of Waterloo, and KU. In 2000 Mackenzie founded the consultancy firm EMAC Assessments, LLC.
Mackenzie has served on numerous editorial boards including Management Science, Organizational studies, International Journal of Organizational Analysis, Journal of Management Inquiry, Human Systems Management, and Engineering Management Research.
He has published 19 books and over 100 articles.
Mackenzie research interests have been in the fields of organization theories, organization design processual models, organizational leadership, multi-level research and the discoverer of the organizational hologram.
As a researcher, a teacher, an author, and an editor, he frequently encounters the difficulty of how to represent fundamental concepts such as leadership, structure, and process. In particular, the representations of structure and group and organizational processes are especially interesting and important because they cut across the group and organizational sciences.
In this regard, he has learned two things worth mentioning produced over a course of many years of research into organizational phenomena: the representation of group and organizational (a) structures and (b) processes. Both concepts are central to discussions of group and organizational processes (GOPs). And neither is represented consistently among scholars and practitioners. The result is confusion and barriers to cumulation. For how can one build on another's results when the other's methods and concepts are inconsistent with one's own?
A structure, Sn, of a group or organization of n agents, Xn = (x1, x2, ..., xi, ..., xn) can be represented by this equation:
Sn = (Xn; R) (Equation 1)
where the matrix R has n rows and n columns and entries rij where row i corresponds to the "sender," xi, the column j corresponds to the "receiver," xj, and the value of an entry rij is a measure of an interaction from xi to xj. The value of rij can range from a binary relation such as a boss-subordinate to how many thousands of board feet of douglas fir, 4-side finished, eight foot 2 x 4's were sold by wholesaler i to retailer j during a specified time period.
The xi ϵ X are engaged Processual Agents such as individuals, groups (e.g. committees, task forces, virtual teams, etc.), and even organizations. The dimension and measures for the entries, rij, are chosen for the purposes of an analysis. In this representation of group and organizational structures, the entries rij reflect the actual relationship between its members relevant to the purposes of the study. Please note the asymmetry: rij rarely equals rji . Also, in some applications, not all of the Processual Agents xi ϵ X are, in fact, human.
Given this representation of group and organizational structures, the following conclusions have strong empirical support:
Any group and organizational process (GOP) can be represented as:
Y = F(C) (Equation 2)
where C is a vector of considerations or steps in a GOP, F is a network illustrating the linkages between each of the considerations or steps, and Y is the set of outcomes of the GOP.
Intuitively, a GOP is a time dependent sequence of behaviors governed by a process framework given by equation (2). The GOP representation of equation (2) is derived from these six ontological axioms: