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arising as a result of these two bi-lateral collaborations and<br />

analyzed the actual experiences of government and partner<br />

organizations. The resultant conclusions lay the foundation for<br />

future work that goes beyond description, to build a more robust<br />

theory of transnational knowledge- and information-sharing to<br />

better address global problems [6, 7].<br />

This study extends current knowledge about TPSKNs into a new<br />

transnational context involving US and SA and a new policy<br />

domain; public health. It expands context to include technological<br />

context when exchange is centered on implementing a new system<br />

or adopting an existing system. The study also expands<br />

understanding of the influential factors deriving from knowledge<br />

and information; organizational; and national layers of context.<br />

This paper presents selected results from the study that addresses<br />

the following research questions:<br />

o What were the critical factors influencing sharing and<br />

exchange activities during the adoption of the Hajj Mobile<br />

Disease Surveillance System (Hajj-MDSS)?<br />

o What is the impact of the identified factors on attaining the<br />

stated goals of the collaboration?<br />

2. LITERATURE REVIEW<br />

The study is guided by the Dynamic Model of Transnational<br />

Knowledge Networks (DMTKN) developed recently by group of<br />

researchers at the Center for Technology in Government (CTG) at<br />

the University at Albany [6, 7]. The model depicts the contextual<br />

complexity surrounding sharing activities in TPSKNs (Figure 1).<br />

It identifies the contextual elements that characterize the external<br />

and internal environments of the individual organizations that<br />

participate in such networks. These contextual factors are<br />

presented in the model as three layers of complexity: information<br />

and knowledge content; organizational context; and national<br />

context.<br />

Figure 1. Dynamic Model of Transnational Knowledge<br />

Networks [7]<br />

The content layer represents the characteristics of the knowledge<br />

and information being exchanged. Content layer captures the<br />

influence of the existing characteristics of information, and<br />

knowledge being exchanged. Many factors can influence sharing<br />

activities at content layer. While some of these factors are relevant<br />

regardless of the type of content that is exchanged, others become<br />

important only for specific types of content. Thus, the first factor<br />

114<br />

to examine at content layer is the type of content [8]. Following<br />

that, value and sensitivity are to be explored, as they represent two<br />

additional, important factors to be considered when any type of<br />

content is exchanged [9-11] . In the case of information exchange,<br />

the degree of standardization and the existence—or lack thereof—<br />

of metadata describing the information represent additional<br />

factors that has to be considered [9]. Finally, knowledge exchange<br />

is influenced by the degree of embeddedness and articulability of<br />

the exchanged knowledge [13, 14]. Table [1] lists and defines all<br />

such factors which might influence exchange activities at the<br />

content layer of complexity as proposed by the DMTKN.<br />

Table 1. Factors related to technical, information, and<br />

knowledge content<br />

Factor Definition<br />

Type Refers to the type of content being<br />

exchanged (technology, information, or<br />

Value<br />

Sensitivity<br />

knowledge).<br />

Refers to the extent to which the content<br />

being exchanged is perceived as an<br />

organizational, social, or governmental<br />

asset.<br />

Refers to the qualities which make the<br />

exchanged content vulnerable to misuse<br />

or misunderstanding.<br />

Data standards Refers to the extent to which there are<br />

and definitions standard data formats and definitions.<br />

Embeddedness Refers to the degree to which knowledge<br />

is situated in or generated by ongoing<br />

practice and learning by doing.<br />

Articulability Refers to the extent to which knowledge<br />

can be expressed in language, number,<br />

formal procedures, and explicit<br />

techniques.<br />

The organizational context embodies the structures, capabilities,<br />

and constraints of the governmental units involved in the<br />

exchange [6]. The DMTKNs identifies many organizational-level<br />

factors that may influence the effectiveness of TPSKNs. These<br />

factors include the goals and interests of participating<br />

organizations, trust, executive support and organizational<br />

commitment, risks, costs, benefits, authority and hierarchical<br />

structures, organizational culture, leadership, organizational rules<br />

procedures, and regulations, resources, and absorptive capacity [9,<br />

15-18]. Table [2] presents definitions for all such factors.<br />

The national context layer corresponds to the cultures and<br />

political systems surrounding the interaction [1]. Characteristics<br />

of the external environment are likely to influence the sharing in<br />

TPSKNs as indicated by previous research. A review of the<br />

factors which might impede sharing activities at the national level<br />

points to five main factors: national culture [16, 19, 20], laws and<br />

policies [9, 12, 18], political support and interests [15], language<br />

differences [21, 22], and geographic location [14, 22]. Table [3]<br />

presents definitions for the stated factors.<br />

The layers of context, surrounding each participating<br />

organization, represent one of several components of the DMTKN<br />

that emphasize the importance of context in two specific ways.<br />

First, the model depicts the influence of the three layers being<br />

discussed. Second, the layers of context and domestic

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