Community impacts on organizational interaction

The findings of this study provide a new source of empirical verification for those theoretical explications

Frederick Keast

2017

Scholarcy highlights

  • previous research and numerous others have noted that in many important ways, the United states is entering into an age of organizations
  • The analysis is guided by a single research question: Do the criteria by which organizations assess the benefits of entering into interagency agreements vary by city? If they do, the general underpinnings of the Primitive Economy Model--that organizations pursue goals other than those directly impacting the organization itself--are supported
  • Analyses employing three measures of intraorganizational decision making criteria--Agency Enhancement, Autonomy, and Internal Orientation--as dependent variables demonstrated that no significant differences exist between organizations in the six cities in their respective valuations of this class of goals
  • The fourth section will address implications of the dissertation's findings: first, with respect to the theoretical issues which prompted the development of the research question and, second, with respect to the policies and practices employed in the delivery of human services to clients
  • The preceding pages in this chapter are generally oriented to a brief recounting of the theoretical development of the Primitive Economy Model, and to a general discussion of analytical findings
  • The second covariate found to be significantly related to Agency Enhancement is state and Federal Uncertainty
  • One of the most important conclusions to emanate from this dissertation relates to organizational decision making, which is indicated here to be a more complex process than is widely acknowledged to be the case
  • This research suggests that the operational reality of human services organizations is a complex of goals, environmental forces, and linkages which, if fully understood, would allow considerable finetuning of existing and potential service networks

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