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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

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