Information and Knowledge Management using ArcGIS ModelBuilder

Mohammad Abooyee Ardakan, Babak Sohrabi and Vahid Saadat
conducted a full-scale test of the measurement properties and of the structural model. All procedures
including item development, instrument pretesting and refinement, assessment of measurement
properties and model testing were done and they have measured IT Knowledge dimension by
Technology, Applications, System Development, Management and Access to Knowledge factors and
also IT Experience dimension by Experience in Projects and Experience in IT Management factors.
We have used these dimensions and sub-dimensions for our questionnaire and also customize the
questions. Questions were revised according to preliminary context validity survey, like the previous
part actions done.
Questionnaire with 39 questions prepared for measuring IT Competency of Managers and also IT
Projects' Risks Exposure. We designed 3 questions related to performance items: Time, Budget and
Quality that filled for each project by its end users. We designed questions in 5-point Likert scale by
Google Doc and used its online benefits to obliged respondents to fill all questions; because of this we
hadn't any excluded questions. Questionnaires filled for 100 projects by 100 Managers and 745 users
that we calculated the average of each questions filled by users for each project (For instance, project
A had 39 questions filled by its Manager and 3 questions of its performance that filled by 8 users, we
calculate the average response of these 8 users for each performance questions). Tehran
Municipality supported us in all research processes. We investigated their projects and chose 120
projects among them and focused on them. We identified their projects and negotiate with them,
finally 100 projects remained for us that their managers filled the questionnaires and sent.
4. Data
In below, there are two tables; tables 1 shows reliability estimates of questions and table 2 shows
demographics of IT Managers who participate in this research.
Table 1: Reliability estimates
Dimension Sub-dimensions Number of Alpha
Questions
IT Competency Knowledge of Technology 3 0.89
Knowledge of Applications 4 0.87
Knowledge of System Development 3 0.83
Knowledge of Management of IT 4 0.91
Access to IT Knowledge 2 0.79
Experience in IT Projects 3 0.89
Experience in Management of IT 3 0.86
Risk Exposure Technology Newness 3 0.90
Application Size, 3 0.81
Lack of Expertise 4 0.91
Application Complexity 3 0.83
Table 2: Demographics
Organizational Environment 4 0.88
Division Group Category Count Percent
Gender Male 92 92
Female 8 8
Degree Diploma 7 7
Bachelor 49 49
Master 38 38
Ph.D. 6 6
IT Management Experience Less than 3 years 11 11
Between 3 to 5 years 23 23
Between 5 to 10 years 52 52
More than 10 years 14 14
4.1 Model testing
The model was tested using LISREL 8.53 (Jِreskog and Sِrbom 2002) with maximum-likelihood
estimation procedures and the covariance matrix. The model presented in Figure 5 suggests three
levels of factors, or latent variables. For IT Competency, the first-order factors are the five dimensions
of IT knowledge (Technology, Applications, System Development, Management of IT, and Access to
IT Knowledge) and the two dimensions of IT Experience (IT Projects, Management of IT). These
factors at the first order measure two second order factors: IT Knowledge and IT Experience. IT
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