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Information and Knowledge Management using ArcGIS ModelBuilder

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Juha Kontio<br />

Phase<br />

In stallation<br />

Operational use<br />

Subphases Functions<br />

Phase III:<br />

Piloting<br />

Structure/format of students’ individual<br />

study plan<br />

Students’<br />

Analysis<br />

Process definitions<br />

individual study<br />

Desing<br />

Data transfer to/from Study Register<br />

IS<br />

plans <strong>and</strong><br />

Tailoring<br />

connections to<br />

Testing<br />

study register.<br />

Installation<br />

Operational use<br />

3. Research<br />

3.1 Design <strong>and</strong> methods<br />

Methodologically this research is a single case study research. This approach is viable research<br />

methodology in IS-research for several reasons. First, the researcher can study information systems<br />

in a natural setting, learn about the real-life situation, <strong>and</strong> generate theories from practice (Benbasat<br />

et al., 1987, Cavaye, 1996). Second, case methods allow the researcher to underst<strong>and</strong> the nature<br />

<strong>and</strong> complexity of the processes taking place (Benbasat et al., 1987).<br />

This<br />

research aims at describing the reasons of a project falling behind its’ schedule in the Turku<br />

University of Applied Sciences. The research question is "What reasons can be identified for the delay<br />

of an information system project?”<br />

In a typical case study research multiple data collection methods are used (Benbasat et al., 1987).<br />

This involves combining different techniques such as observation <strong>and</strong> document <strong>and</strong> text analysis<br />

(Broadbent et al., 1998). Participant-observation was the main data collection method in this research.<br />

It means that the researcher may have a variety of roles within the case study situation <strong>and</strong> really<br />

participate in the events being studied (Yin, 1994). In this research, the roles of the researcher<br />

included a) chair of the project steering group b) member of the executive board of the University, <strong>and</strong><br />

c) the member of the staff. The participant-observation has happened from the beginning of the<br />

project to the end of March 2011. The different roles of the researcher provided different viewpoints to<br />

the underst<strong>and</strong>ing <strong>and</strong> also guiding the project. As a chair of the project steering group the researcher<br />

participated in making project related decisions. As a member of the executive board of the University<br />

the researcher participated decisions relating the information systems in the University <strong>and</strong> thus also<br />

this new information system. Finally, as a member of the staff the researcher used the information<br />

systems similarly as other staff member <strong>and</strong> collected data about the project. These three roles<br />

correspond quite well with the three levels where an information system success could be measured<br />

(Fowler <strong>and</strong> Horan, 2007): organizational, b) process level <strong>and</strong> c) individual level. Besides the<br />

participant-observation data was also gathered from existing documents which included system<br />

documentation, project group memos, steering group memos <strong>and</strong> presentations of the new<br />

information system.<br />

3.2 The case organization<br />

The Turku University of Applied Sciences<br />

(TUAS) is one of the largest of its kind in Finl<strong>and</strong>. The<br />

University is administered by the City of Turku, which means that University has to use some of the<br />

information systems provided by the City. Examples of these systems are the Financials <strong>and</strong> Salary<br />

IS (see figure 2).<br />

The TUAS has almost 9000 students <strong>and</strong> we educate Bachelors <strong>and</strong> Masters in about 50 different<br />

Degree Programs.The TUAS is organized in six faculties that promote multidisciplinary learning<br />

(Figure 4). Each faculty has several degree programs <strong>and</strong> students from 700 to 2500. The faculties<br />

differ from each by the preparedness of ICT technology – others are reluctant with new technology<br />

while others look new technology with too much expertise <strong>and</strong> might be extra critical. The broad<br />

variety of Degree Programs create challenges for the teaching process – finding solutions suitable for<br />

both small <strong>and</strong> big programs require a lot of planning <strong>and</strong> design.<br />

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