# Factors of the Technology Acceptance Model for Construction IT
## 5 Results and Discussion  
We checked the specific correlation of the external and internal variables with multiple regression analysis as well as the reliability and classification standard in terms of the validity of the factors related to the analysis, to propose a TAM for construction IT suitable to the characteristics of each information accepter based on the construction industry factors verified in this study. We examined the correlation among six internal and 12 external variables through hypothesis verification and rejected the hypotheses for five external variables. First, in the case of the hypotheses for acceptance type, the hypothesis related to the perceived usefulness of construction IT for each individual was confirmed but that related to the perceived ease of use was rejected because even when respondents had experience with other IT systems, they were not able to feel any major difference in their acceptance of IT. Moreover, they might not be able to use IT easily, in spite of thinking that the programs or systems of construction IT are useful. This result might be related to the fact that a higher level of knowledge and experience is necessary to understand IT in the construction industry than that in other industries. Thus, when developing construction IT in the future, an interface accessible to users has to be considered and the program visuals have to be emphasized for users to accept the new construction IT more easily. \begin{table}
\begin{tabular}{l l} \hline \hline
**Form of Construction IT** & **Complaints** \\ \hline \multirow{7}{*}{Design Programs} & Difficulty with many orders \\  & Difficulty using the program without expertise \\  & Lack of manuals \\  & Lack of special education \\  & Difficulty inputting orders \\  & Lack of continuous upgrades \\  & Crashes, lack of compatibility with other programs \\  & Frequent errors due to large files \\  & Low program speed \\  & Need to design drawings three-dimensionally, whereas the existing system \\  & uses a two-dimensional design \\  & Impossible to utilize well because of a lack of regular education \\ \hline \multirow{7}{*}{Knowledge Management Systems} & Lack of various types of information \\  & Difficult examination \\  & Low usage experience \\  & Difficulty computerizing data for sharing \\  & No ability to develop, share, or utilize data and news only \\  & Lack of technical education \\  & Need to take root in organizations \\  & Need to monitor system to figure out the entire process \\  & Inconvenient interface due to the programmed composition \\ \hline \multirow{7}{*}{Project Management Information Systems} & Difficulty searching for information \\  & Difficulty processing and downloading data \\  & Lack of compatibility with other programs \\  & Inconvenient input tool function \\  & Lack of real-time updates \\  & Weak information management \\  & Problems with data duplication \\  & Complex contents \\ \hline \hline \end{tabular}
\end{table} 
Table 3: _Cont._Second, in the case of the hypotheses for usage knowledge, only one was not confirmed because it had a correlation with perceived ease of use but not with perceived usefulness. This result is different from the TAM results in other industries, because new construction IT might depend on legal and contractor requisites and it might not be introduced, even though users in the field need it. Public relations for new construction IT have to be improved to let users understand or realize the necessity and efficiency of it for it to spread in the future. Third, in the case of the hypotheses for usage experience, the hypothesis related to the perceived ease of use was rejected. This is because although users might perceive the existing and new construction IT to be efficient and effective, they might not perceive the new technology to be easy to use. Fourth, the hypotheses for usage frequency were rejected for both perceived usefulness and ease of use.