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Using complex adaptive systems theory to drive system health measures for a province-wide higher education system

Posted on:2016-04-28Degree:M.ScType:Thesis
University:University of Lethbridge (Canada)Candidate:Ali, Syed HammadFull Text:PDF
GTID:2470390017481592Subject:Higher education administration
Abstract/Summary:
Beginning in October, 2013, an Advisory Group was convened by the Province of Alberta, Canada to 'tame' the operationalization of a Results-Based Budgeting (RBB) exercise to be imposed upon Campus Alberta. Campus Alberta is the governmental institution that encompasses and oversees all 26 post-secondary institutions of Alberta. Utilizing Burgelman's Model (1983), I study Campus Alberta. The purpose is to identify and incorporate in the larger set of RBB measures such indicators that monitor those conditions that cause Campus Alberta to be in the complexity region. Furthermore, to ensure that co-evolutionary dynamics do not shift Campus Alberta from the complexity region, I employ McKelvey's (2002) work on managing co-evolutionary dynamics in complex adaptive systems through damping mechanisms. Therefore, an applied suggestion my research offers is '2M': Monitoring the overall health of the system and, then, Managing co-evolutionary dynamics so that the system can be attuned to changing dynamics of the eco-system.
Keywords/Search Tags:System, Alberta, Co-evolutionary dynamics
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