2.5 Technology Acceptance Attitude: Usefulness and Ease of Use Technology Acceptance Model (TAM) framework has been widely applied to many contexts and fields investigating the acceptance and adoption of new technology product and as well to various system studies. This includes the people’s interest in e-learning, acceptance of smartphone applications, the use of information technology, the use of internet banking, the use of mobile internet and many others. According to Stern, Royne, Stafford and Bienstock (2008), TAM model was used to measure the utility and usability that influenced a technology acceptance and also to anticipate the users’ adoption behaviors towards the new technology or system. TAM was validated as a vigorous and powerful
The goal of TAM is to evaluate information systems acceptance by users before the actual system implementation. The central idea behind it is to increase the use of IT by promoting its acceptance. The acceptance can only be promoted if the factors that influence it are known; this can be done by examining the perception of the users concerning the use of the technology (Davis, Bagozzi, & Warshaw, 1989; Holden & Karsh, 2010; Chuttur, 2009). Initially TAM was developed with the objective of having a theoretical model that will be used to assess the effect of system characteristics on acceptance of computer-based information systems by users, and also explore the acceptance processes in order to have better information system (Davis, 1985). As the model suggested, the individual 's attitude toward using a particular system is a main factor that determines actual use of the system.
The Technology Acceptance Model (TAM) is by far one of the most frequently cited articles about predicting the usage of technology by a given set of individuals in various fields. The following part will include the basic studies, in addition to some extensions and replications of the model in various fields. 4.5 The Technology Acceptance Model (Davis, Bagozzi, & Warshaw, 1989) Davis first introduced the technology acceptance model in 1986 , as an adaptation of the theory of reasoned action (Fishbein & Ajzen, 1975), to predict information system usage. It aims at providing an explanation of the antecedents to acceptance and use of computers and related technologies in a wide range of technological areas. TAM has been used to trace the impact of external factors on beliefs, attitudes, and intentions by identifying a limited number of variables suggested by previous research, related to cognitive and affective determinants of the acceptance of
Originally applied in information system (IS) and software application research, the theory was extended in the area of social media to try to explain usage behavior (Rauniar, Rawski, Yang & Johnson, 2014). According to the model, when a user is introduced to a new technology, his or her overall attitude towards using the said technology is a major determinant as to whether or not the user will actually
Therefore, the author wants to stop stop side-stepping around the issue and attempt to operate a more expansive consideration of what the intervention could be used for. This examination of the various processes by which the interventions are delivered will achieve a consensus protagonists on the types of impacts we can realistically expect in of themselves from TTM-based
The technology acceptance model (TAM) is an information systems theory that states how users come to accept and use a technology.The model suggests that when users are presented with a new technology, a number of factors influence their decision about how and when they will use
Origin and overview of TAM The technology acceptance model (TAM) (Davis F. D. ,1989; Davis, F. D. Bagozzi, 1989), is one of the various models that IT/IS researchers have used to predict and explain the underlying factors that motivate users to accept and adopt new information technology systems. This model (Figure 4.3) is derived from the theory of reasoned action (TRA) (Fishbein and Ajzen, 1975; Ajzen and Fishbein, 1980). According to TRA, the individual attitudes and subjective norms influence the user’s behavioural intention, which, in turn, influences his/her actual behaviour. Building upon this, TAM was proposed to explain and predict users’ acceptance of IT and IS systems by assuming that the constructs - perceived ease of use (PEOU) and perceived usefulness (PU) - are the key determinants of IT and IS acceptance behaviour. Davis (1989, p.320) defined perceived usefulness as “the degree to which a person believes that using a particular system would enhance his or her job performance”, and defined perceived ease of use as “the degree to which a person believes that using a particular system would be
As technology acceptance model (TAM) is mainly of two system features of perceived usefulness (PU) and perceived ease of use (PEUO) (Davis,1989) it is incomplete in the context of online banking services. Perceived usefulness is defined as the degree to which a person believes that using a particular system will enhance users performance, while the perceived ease of use is defined as the extent to which a person believes that using a particular system is free of effort. The TAM has been evaluated to be not only a powerful and parsimonious model for representing the determinants of system usage but also a valuable tool for system planning, since the system designers have some degree of control over easiness and usefulness (Taylor & Todd,1995). A significant
Online consumer researchers have mostly implemented the Technology Acceptance Model by Davis (1989) to explain the acceptance of e-commerce (Chen et al., 2002; Moon and Kim, 2001). TAM has been developed by Davis (1989) is one of the most popular research models to predict use and acceptance of information systems and technology by individual users. TAM has been widely studied and verified by different studies that examine the individual technology acceptance behavior in different information systems constructs. There are two main factors relevant in computer use behaviors in the TAM model; perceived usefulness and perceived ease of use. Davis defines perceived usefulness as the prospective user’s subjective probability that using a specific
TTM was shown evidently versatile as it could be effectively applied to changing behaviours in populations bearing various characteristics without having regular clinical supervisions and could even be used in psychotherapies. Even so, the model’s functions were found to be limited as its optimal effectiveness is dependent on the individual’s degree of readiness for actions driven by positive expectations, which is largely absent in most people at baseline. This has sparked debates on whether TTM is able to maintain the long-term success of behaviour change and raised doubts on the functions of the ‘maintenance’ and ‘termination’ stages. This essay has given a balanced view on the strengths and weaknesses of TTM but most evidences targeted on only one construct (stages of change) of the model hence future research should focus on exploring the other three constructs in order to understand the full potential of this