2012年3月22日星期四

Technology Acceptance Models

The Technology Acceptance Model (TAM) is definitely an [information systems] theory that models how users arrived at accept and make use of a technology. The model shows that when users are given a brand new software program, numerous facets influence their decision about how exactly so when they'll utilize it, significantly:


o Perceived usefulness (PU)


"The degree to which an individual believes that utilizing a particular system would enhance his / her job performance".


By Fred Davis


o Perceived ease-of-use (EOU)


"The degree to which an individual believes that utilizing a particular system would reduce effort".


By Fred Davis


The technology acceptance model is among the most influential extensions of Ajzen and Fishbein's theory of reasoned action (TRA) in the literature. It had been produced by Fred Davis and Richard Bagozzi. TAM replaces a lot of TRA's attitude measures with both technology acceptance measures, simplicity of use, and usefulness. TRA and TAM, both which have strong behavioral elements, assume that after somebody forms an intention to do something, that they'll be liberated to act without limitation. In real life you will see many constraints, such as for example limited ability, time constraints, environmental or organizational limits, or unconscious habits that will limit the freedom to do something.


Theory of Reasoned Action


TRA posits that each behavior is driven by behavioral intentions where behavioral intentions really are a function of a person's attitude toward the behavior and subjective norms surrounding the performance of the behavior.


Attitude toward the behavior is understood to be the individual's positive or negative feelings about performing a behavior. It is decided via an assessment of the beliefs concerning the consequences as a result of a behavior and an assessment of the desirability of those consequences. Formally, over all attitude could be assessed as the sum of the the person consequence x desirability assessments for several expected consequences of the behavior.


Subjective norm is understood to be a person's perception of whether people vital that you the patient think the behavior should be performed. The contribution of the opinion of any given referent is weighted by the motivation that the individual needs to adhere to the wishes of this referent. Ergo, over all subjective norm could be expressed as the sum of the the person perception x motivation assessments for several relevant referents.


Algebraically TRA could be represented as B ≈ BI = w1AB + w2SN where B is behavior, BI is behavioral intention, AB is attitude toward behavior, SN is subjective norm, and w1 and w2 are weights representing the significance of every term.


The model has some limitations including a substantial threat of confounding between attitudes and norms since attitudes can frequently be reframed as norms and vice versa. Another limitation may be the assumption that after somebody forms an intention to do something, they'll be liberated to act without limitation. Used, constraints such as for example limited ability, time, environmental or organizational limits, and unconscious habits will limit the freedom to do something. The idea of in the offing behavior (TPB) attempts to solve this limitation.


Theory of In the offing Behavior


TPB posits that each behavior is driven by behavioral intentions where behavioral intentions really are a function of a person's attitude toward the behavior, the subjective norms surrounding the performance of the behavior, and the individual's perception of the ease with that the behavior can be carried out (behavioral control).


Behavioral get a grip on is understood to be one's perception of the problem of performing a behavior. TPB views the get a grip on that individuals have over their behavior as lying on a continuum from behaviors which are easily performed to those requiring considerable effort, resources, and so on.


Even though Ajzen has suggested that the hyperlink between behavior and behavioral get a grip on outlined in the model ought to be between behavior and actual behavioral get a grip on instead of perceived behavioral get a grip on, the problem of assessing actual get a grip on has resulted in the utilization of perceived get a grip on as a proxy.


Unified Theory of Acceptance and utilization of Technology


The UTAUT aims to describe user intentions to make use of an IS and subsequent usage behavior. The idea holds that four key constructs (performance expectancy, effort expectancy, social influence, and facilitating conditions) are direct determinants of usage intention and behavior. Gender, age, experience, and voluntaries useful are posited to mediate the impact of the four key constructs on usage intention and behavior. The idea originated via a review and consolidation of the constructs of eight models that earlier in the day research had employed to describe IS usage behavior (theory of reasoned action, technology acceptance model, and motivational model, theory of in the offing behavior, a combined theory of in the offing behavior/technology acceptance model, type of PC utilization, innovation diffusion theory, and social cognitive theory). Subsequent validation of UTAUT in a longitudinal study found it to take into account 70% of the variance in usage intention.


Conclusion


The recent development of it applications that target highly specialized individual professionals, such as for example physicians and attorneys, has proliferated substantially. Thinking about the rapid growth of those innovative technology applications that target individual professionals, it's important to examine the extent to which existing theories can explain or predict their technology acceptance. In this vein, the present study represents a conceptual replication of some previous model comparison by re-examining commonplace theoretical models in a healthcare setting which involves different users and technologies. Specifically, this study empirically tests the applicability of three theoretical models: the Technology Acceptance Model (TAM), the idea of In the offing Behavior (TPB), and a decomposed TPB model that's potentially sufficient for the targeted professional context. Our investigative focus may be the extent to which each model can explain physicians' acceptance of telemedicine technology.



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