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forms for the system. At the same time, the CDC and the MoH<br />
were coordinating their efforts to obtain the necessary technical<br />
resources. During the third phase, participants conducted several<br />
training sessions to train Saudi public health practitioners on how<br />
to use the system and operate the advanced mobile devices used<br />
with it. They also pilot-tested the system during Umrah—an<br />
Islamic ritual performed at Makkah anytime of year. In the final<br />
phase, participants deployed the system and formed one team to<br />
ensure the effective functioning of the MDSS via timely and<br />
accurate data analysis, and reported the results to top-level<br />
management during the days of the Hajj.<br />
During the four phases of the Hajj-MDSS implementation,<br />
participants exchanged a variety of content. Table [4] lists the<br />
content exchanged among participants, and specifies the content<br />
type. Content type is identified based on the extent to which<br />
content was expressed in written form, the extent to which it<br />
adhered to formal procedures, and the extent to which it<br />
conformed to explicitly stated techniques.<br />
Table 4. Content exchanged during Hajj-MDSS adoption<br />
Phase Content (Type)<br />
Preparation<br />
Technical resource<br />
acquisition and forms<br />
development<br />
Training and pilot<br />
testing<br />
Execution<br />
Information about the context of<br />
the Hajj (Explicit.)<br />
Proposal (Explicit &Tacit)<br />
Forms Design (Tacit)<br />
Systems Requirements<br />
(Explicit)<br />
Training materials (Explicit & Tacit)<br />
Installations (Tacit)<br />
System implementation and<br />
troubleshooting (Tacit)<br />
System’s data (Explicit)<br />
After five months of technical exchange, professional visits, and<br />
joint work, the Hajj-MDSS made its official debut during the<br />
2009 Hajj. The system provided public health officials in KSA<br />
with access to timely and accurate information. They were also<br />
able to monitor nine distinct infectious diseases, and make timely<br />
decisions in responding to unexpected situations. By the end of<br />
the 2009 Hajj, only 73 cases of pilgrims with confirmed pandemic<br />
influenza A (H1N1) were reported, and the Hajj was declared a<br />
success [24].<br />
4. RESEARCH METHODS<br />
This research explores exchange activities in TPSKNs and<br />
identifies the factors which might influence the achievement of<br />
participants’ goals and objectives in TPSKNs. The goal of the<br />
study is to extends the current knowledge-base regarding TPSKNs<br />
into a new transnational context, and a new policy domain, public<br />
health. This is achieved by relying on case study methods to<br />
identify the factors influenced the collaboration between the US<br />
CDC and SA’s MoH leading to the adoption of the Hajj-MDSS in<br />
2009. Given the goal of this research and the Hajj-MDSS case<br />
being introduced, the case study approach is most appropriate, as<br />
its main strength lies in its attempts to efficiently reconcile<br />
complexity, detail, and context [25].<br />
Qualitative data has been collected from in-depth, semi-structured<br />
interviews conducted in person, as well as various secondary data<br />
116<br />
sources, including: government documents, participants’ official<br />
websites, training materials, system manuals, news articles, and<br />
related publications. Nine government officials working for the<br />
Saudi MoH, along with three government officials working for the<br />
US CDC, participated in this study. All participants played critical<br />
roles in the project, and most were involved in all phases of the<br />
project’s implementation. Participants also represent different<br />
management levels, and organizational departments and units. A<br />
purposive sampling using a snowball method was used to identify<br />
individuals for interviews, starting with a single manager at the<br />
Saudi MoH.<br />
Two CDC participants preferred to respond in writing; interview<br />
questions were sent to them, and they responded in writing to the<br />
interview questions. Each in-person interview lasted from 1 to 2<br />
hours. Several participants were contacted later, by phone, to<br />
obtain additional information and for the purposes of clarification.<br />
As all Saudi-side participants being interviewed are native Arabic<br />
speakers, all such interviews were thus conducted in Arabic, as<br />
was the interview conducted with one participant from the CDC<br />
who is native Arabic speaker. The two CDC experts who<br />
preferred to respond in writing received an English version of the<br />
research questions and responded in English.<br />
The unit of analysis of the study is the collaboration aimed at<br />
ensuring the successful implementation of the Hajj-MDSS. The<br />
unit of observation of the study is the individual organizations<br />
who participated in this collaborative effort. The interview data<br />
was transcribed and analyzed in Arabic, and the data collected<br />
from the written response of CDC participants, along with the<br />
aforementioned secondary data sources, were analyzed in English.<br />
All collected data was coded and analyzed with an inductive<br />
approach.<br />
In the course of conducting data analysis, the qualitative software<br />
tool (Atlas-ti) has been used to support coding and analysis<br />
activities. Coding was conducted following two separate<br />
approaches proposed by Strauss and Corbin [26], open coding and<br />
axial coding. Open coding refers to the process of reducing the<br />
data to a small set of themes which appear to describe the<br />
phenomenon being studied. In the context of this research, codes<br />
were added to the coding book when data pointed to any new<br />
concept that could refer to an actor, a product, a process, or a<br />
factor influencing the sharing activities in TPSKNs. The outcome<br />
of this step was a series of different concepts representing the<br />
meaning of the data. After completing the open coding, an axial<br />
coding approach was applied. This process involves putting data<br />
together in new ways by making connections between the already<br />
identified concepts. This was achieved by organizing the initial<br />
codes into different categories which reflected the questions of<br />
interest to this research.<br />
5. FACTORS INFLUENCING TPSKNS<br />
Within the case study, a number of factors influenced technical,<br />
knowledge, and information exchange during the collaboration<br />
toward the adoption of the Hajj-MDSS were identified. This<br />
section discusses these factors in four broad contexts:<br />
technological; knowledge and information; organizational; and<br />
national contexts.<br />
5.1 Technological Context<br />
The collaboration toward adopting the Hajj-MDSS was influenced<br />
by several technical factors as the collaboration involves transfer<br />
of a system to suit a new context. Ease of use, the ability to meet