Integration of Technology Readiness Index (TRI) Into the Technology Acceptance Model (TAM) for Explaining Behavior in Adoption of BIM

Abstract

Recently, Building Information Modelling (BIM) technology has attracted much attention in the Architecture, Engineering and Construction (AEC) industry and is becoming globally-recognized standards. The primary objective of this study is to gain better understanding of the drivers and barriers to the adoption of BIM.There is abundance of theories on technology adoption among which this study applies the Technology Acceptance Model (TAM) proposed by Davis (1989) to analyze the adoption and the use of the BIM technology by exploring implications of perceived ease of use, perceived usefulness, attitudes, behavioral intention and actual usage. In addition, this study integrates Technology Readiness Index (TRI) to explain adoption of BIM.With data collected through an online survey, findings of this study will assist in explaining behavior in adoption of BIM that may facilitate realizing the advantages of the BIM technology.

Understanding Digital Banking Adoption During Post-Coronavirus Pandemic: An Integration of Technology Readiness and Technology Acceptance Model

“…The role of a positive attitude towards technology will certainly lead to the perception that digital banking technology can be useful for work and daily life. When it comes to the application of technology, OPTM about the presence of technology can increase the adoption of technology use, especially in terms of convenience and usability [12]. So, the first and second hypotheses in this study are as described in the following: H 1 : OPTM has a positive effect on PU H 2 : OPTM has a positive effect on PEOU Another factor that plays a role as a supporter in one's technological readiness is INNV (INNV).…”

Chinese technology: a study of the image and the desire for possession, using the technology readiness index – TRI scale

“…The TRI scale, with due evidence of the reliability and validity criteria, it was possible to verify that its constructs had significant influences on the dimension of the model designed to explain the negative image of Chinese products and services, as described by Lai and Lee (2020) and Kaushik and Agrawal (2021). The established model, based on the IRT scale, demonstrated a good statistical significance of the relationships observed in the IRT construct Discomfort, Innovativeness, Insecurity and Optimism, which explain the negative image of Chinese products and services.…”

“…The general combination for technology is therefore given by the combination of four dimensions, which is to say that it is based on the dimensions: innovativeness, optimism, discomfort and insecurity (Parasuraman & Colby, 2001). These authors claim that the readiness for the TR -Technology Readiness concerns the propensity of individuals to adopt new technologies, and is the result of mental drivers and inhibitors that, together, determine the individual's predisposition to interact with products and services of technological bases (Parasuraman, 2000), ratified by Lima et al (2018), Bakirtaş and Akkaş (2020) and Lai and Lee (2020). For Parasuraman and Colby (2001), when launching a new technology on the market, the reactions are different, that is, varying from consumer to consumer, according to their beliefs, cultures, values and feelings.…”

“…China, for example, stands out in the marketing of technological products with the export of transmission products, chips, smartphones, tablets, smartwatch, notebooks and other components with a 10% growth in 2018, followed by the United States and Germany (Diniz, 2019). In this article, the readiness to adopt Chinese technology products and services will be measured, using the Technology Readiness Index (TRI) scale established by Parasuraman (2000) and Parasuraman and Colby (2001) corroborated by Lai and Lee (2020). The proposed application of the TRI scale is evidenced in the literature, so that new studies can replicate theories in other contexts, in order to promote scientific advancement.…”

Attitude Toward of Public Hospital Information System: The Role of Technology Readiness

“…Parasuraman and Colby define technology readiness as the level of a person's tendency to accept or reject information technology (Parasuraman & Colby, 2015). The more ready someone is to use technology, the more likely they are to have an attitude to continue using the technology (Damerji & Salimi, 2021;Elliott et al, 2012;Lai & Lee, 2020;Lee et al, 2012;Liljander et al, 2006;Nugroho & Andryzal Fajar, 2017;Shirahada et al, 2019). Facts in the field show that some employees feel they are not ready to implement accounting information systems.…”