AbstractThe main aim of this research is to study the IT adoption in the Libyan construction industry. In order to achieve this aim, two methodologies (qualitative and quantitative methodologies) were used for this purpose. The interviews with 26 managers reveal that The Libyan construction industry faces many barriers such as the lack of a skilled workforce in the field of IT, lack of training, lack of internet security, lack of government regulations, weak banking systems, and problems with communications network.
Based on the literature and on the interviews an IT adoption model was designed and statistically tested. The model connected the dependent variable and 9 independent variables with 16 moderator variables. The dependent variable was the IT adoption, the independent variables were, relative advantage, compatibility, image, ease of use, result demonstrability, visibility, trialability, facilitating conditions and subjective norms. While the moderator variables were voluntariness, external orientation, achievement orientation, company slack, pro-activity, environmental dynamism, business-level attitude toward IT adoption, number of employees, business type, time in business, type of organisation, availability of IT department, age of manager, degree, speaking foreign language and having IT budget. The model was tested using data collected by a survey from 260 managers in Libyan construction industry.
The results from the simple regression models which were d
erived between the IT adoption and each of the independent variables show that positive significant relationship between the dependent and all the independent variables.
A multiple regression was also carried out and found that result demonstrability, image, facilitating conditions and subjective norms are the most dominant variables in the model. Then the effect of the moderator variables on the derived model was tested using MODPROBE Marco developed by Hayes and Matthes (2009) and it is compatible with SPSS.
Interesting results were found from the statistical tests. From 16 moderator variables only five variables were found to have significant effect on the derived multiple regression model. These variables are: voluntariness, number of employees (i.e. size of the organisation), time in business (i.e. organisation age), type of organisation (i.e. public, private and foreign) and the manager age. These findings are also supported by the literature. These are explained in detail in chapter 7.
|Date of Award
|Rami Djebarni (Supervisor)