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Toward a Theory of E-Government Interorganizational Collaboration: Generic Structures for Cross-Boundary Requirements Analysis

Toward a Theory of E-Government Interorganizational Collaboration: Generic Structures for Cross-Boundary Requirements Analysis
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Author(s): Luis Felipe Luna-Reyes (Universidad de las Américas Puebla, México)and David F. Andersen (University at Albany/SUNY, USA)
Copyright: 2015
Pages: 23
Source title: Public Affairs and Administration: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-4666-8358-7.ch097

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Abstract

In this chapter, the authors present a series of causal maps that constitute an initial effort in the creation of a generic theory of interorganizational cross-boundary electronic government (e-Government) projects. Such causal structures are the result of a simulation-based study in which they explored the interactions and social processes associated with the development of trust and knowledge sharing in the development of an interorganizational e-Government application in New York State: the Homeless Information Management System (HIMS). The chapter includes the main theoretical and practical implications of the modeling and simulation work, as well as discussion of some paths to continue the exploration of collaboration in this specific context. The causal maps are organized around three themes that emerged during the modeling process. The first theme is related to trust development, and its recursive interactions with knowledge sharing and learning. The second theme is related to the importance of achieving stakeholder engagement by establishing a trusting environment as opposed to the use of authority or coercive mechanisms. The last theme is associated with the understanding of requirement definition as a social process of learning and knowledge transfer. The authors believe that these recursive structures constitute an alternative to the factor approach to understanding success and failure in digital government.

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