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A Local-State Government Spatial Data Sharing Partnership

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A <strong>Local</strong>-<strong>State</strong> <strong>Spatial</strong> <strong>Data</strong> <strong>Sharing</strong> <strong>Partnership</strong> Model to Facilitate SDI Development<br />

Azad and Wiggins (1995) proposed a typology based on inter-organisational relations<br />

(IOR) and dynamics. The authors argue that spatial data sharing across multi-agencies is<br />

fundamentally an organisational affair and that the organisational concept of autonomy is a<br />

critical issue in data sharing. Specifically, they argue that the process of sharing results in<br />

the loss of autonomy and greater inter-organisational dependence, which in turn conflict<br />

with each organisation’s goals. The typology classified organisations into three types<br />

based on the inter-organisational dynamic as being one way, mainly one way or two way.<br />

This typology extended the work of Oliver (1990) on organisational behaviour which<br />

classified the reasons for IOR into six areas namely: necessity, asymmetry, reciprocity,<br />

efficiency, stability and legitimacy. The authors also examined the level of IOR intensity<br />

and the stages of inter-organisational relations which they propose were “powerful<br />

explanatory concepts to disentangle the complex dynamics of geographic data sharing”<br />

(Azad & Wiggins 1995, p. 33). The model proposed by Azad and Wiggins is somewhat<br />

weakened by lack of justification of the initial premise that data sharing leads to the loss of<br />

autonomy and independence (Wehn de Montalvo 2003a).<br />

Another framework to understand organisational data sharing is put forward by Nedovic-<br />

Budic and Pinto (1999) and draws on the Kevany model (1995) which is largely<br />

experienced based. The conceptual framework draws on a broader literature base to derive<br />

four theoretical constructs namely: inter-organisational context, motivation, coordination<br />

mechanisms and outcomes. The theoretical foundations of this framework provide a very<br />

useful basis for further development and assessment of spatial data sharing initiatives.<br />

The authors have extended the understanding of the conceptual framework through a<br />

number of empirical investigations including mechanisms and motivations for data<br />

exchange (Nedovic-Budic et al. 2004a) and also the exploration of the organisational<br />

issues with respect to GIS interoperability (Nedovic-Budic & Pinto 2001).<br />

<strong>Sharing</strong> by its very nature is a human behaviour (Wehn de Montalvo 2002) and therefore it<br />

should be explored from a human behavioural context. Wehn de Montalvo (2003a)<br />

investigated the theory of “planned behaviour” as an organising framework for the<br />

willingness to share spatial data. The model maps the process of data sharing based on a<br />

belief structures and the predictive power of intentional behaviour. The basic model as<br />

shown in Figure 2.7 consists of five components: a particular behaviour consideration, the<br />

intention to act, and three determinants of intention (Wehn de Montalvo 2003a). These<br />

determinants identify the willingness to share based on attitude, social pressure and<br />

perceived control.<br />

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