Factors of the Technology Acceptance Model for Construction IT

Abstract

The use of information technology is spreading in the construction field. However, the use of information technology in the construction field does not conform to the requirements and characteristics of users who use information technology. This fact is blindly accepted by the government and client demands, which is an impediment to the dissemination of information technology in the construction field. To improve the use of information technology in the construction field, this study analyzes the factors of acceptance of information technology according to the characteristics of users who use information technology in the construction field based on Davis’ technology acceptance model. As a result of the analysis, we found that if users consider IT in the construction industry easy to use, spontaneous attitude and behavioral intention are to be expected. Moreover, acceptance type, educational satisfaction, usage enjoyment, and usage experience are the factors that impact perceived usefulness, and educational satisfaction and usage enjoyment impact perceived ease of use as well. This study aims to derive factors that maximize the approachability and usefulness of users through the use of a technology acceptance model in construction prior to the application of new information technology in the construction field.

Assessing Digital Transformation of Cost Accounting Tools in Healthcare

“…Following a bootstrapping procedure in SmartPLS 3.0 (with 500 subsamples and a significance level of 0.05), the path coefficients indicate significant positive direct influences among model variables ( Table 6 ). Values above 1.6 for T statistics and below 0.005 for p values show an increased relevance of the path coefficients [ 70 ].…”

“…The rapidity of operations (in real-time) and information security are the essential features of digital technologies implemented in traditional and innovative CAT that influence their efficiency and effectiveness. Moreover, the other features selected from the literature on technology acceptance [ 54 , 55 , 59 , 60 , 61 , 62 , 63 , 70 , 78 ], i.e., customization, trust, and accessibility, record high values of outer loadings and outer weights in the healthcare industry, proving their relevance for accountants.…”

“…The most critical aspect of DT in CAT is the acceptance of implementing digital technologies, such as AI, BD, BC, CC, or IoT, within existing IT solutions and their actual use due to the perception of increased efficiency and effectiveness of the activity. Even if healthcare organizations invest large amounts of money in implementing digital technologies, it is necessary to understand the acceptance by users of the new technologies [ 70 ]. Starting from the technology acceptance model (TAM) proposed by Davis [ 71 ], various studies applied the TAM model regarding new technology acceptance in various fields [ 72 , 73 , 74 , 75 , 76 , 77 , 78 ].…”

“…The perception of Romanian accountants in the healthcare industry regarding the usefulness of CAT represents exogenous variables of the theoretical research model, which determine the latent variables of innovative CAT usefulness and traditional CAT usefulness. The latent variable DT influence has antecedents defined based on the literature in the field: trust, security, rapidity, customization, and accessibility [ 70 , 71 , 72 , 73 , 74 , 75 ]. The extent to which the application of CAT could be improved by implementing DT, in the perception of Romanian accountants in the healthcare industry, defines two other latent variables which have as antecedents the four traditional CAT (SC, AC, PC, and MC) and the four innovative CAT (ABC, TC, LC, and KC) improved through DT.…”

Effects of reliability indicators on usage, acceptance and preference of predictive process management decision support systems

“…Despite the increasing capacities of DSS, the level of adoption by users and relevant stakeholders in everyday work practices has found to be still limited [3,18,34,41,52,59]. Also in the construction industry, concerns have so far hindered wide uptake of digitized decision support [36], namely the necessity for all stakeholders to use consistent tools and formats, the learning curve to get accustomed to novel technologies, as well as the large data size required for BIM [83].…”