Reflective Journal
Technology Acceptance Model (TAM) :
The technology acceptance model(TAM) was originally proposed by Fred Davis in 1985as a doctoral thesis ay the Massachusetts institute of technology current literature of TAM indicates that it is a highly cited model. Since the proposal was made in 1985, the model has been modified to incorporate the variables and relationships derived from the 1975 Fishbein and Ajzen Theory of Reasoned Action ( TRA). The performance of the innovations was a more developed model that was important for those willing to challenge the principle of technology adoption and its use in learning. Commenting on the hypothesis, (Chen Shih-Chih, 2011) expands the argument that perceived utility (PU ) and perceived ease of use (PEOU) have a positive impact on a technology's attitudes towards usage (ATU). The relationship between these determinants can be illustrated by the
model in Fig. 1 as suggested by Davis.
Fig.1 Technology Acceptance Model (D, 1989)
The technology acceptance classical is an data system theory is similar to website and application mainly on the model on how operators do come to receive the use of technology (Rafique, 2020). Like website and application technology acceptance existing system uses it is known as the endpoint, where all people are wanted to be able to use technology to form a social purpose. This is the factor that does lead individuals to use technology. This social intension is prejudiced by an altitude that is the universal impress of the technology. This typical does suggest that when the users have been obtainable with technology, issues like apparent practicality and apparent ease-of-use effect on the choice about how and also when they can use it.
Online shopping:
Online shopping is a form of electric market that allows clients to buy goods directly or even amenities from a seller using the internet, and this happens through the use of a web browser (Fu, 2020). Consumers do find a produce of their attention through staying the website of the retailers by probing them using errands engines that does display the same product obtainability and also pricing at dissimilar e-retailers.
Popular websites and applications:
Webs
Google search, YouTube, Facebook, amazon
Popular apps
Instagram, Twitter, LinkedIn, and Snapchat
Both the apps and websites are sites that are being used today by people for shopping. Today most of the sellers are displaying their goods in this platform for potential customers to purchase.
How factors of website influence behavior:
Through the use of web design, items, as well as information is placed in a particular order through serial position effect. Through the use of the serial position effect, the more expensive items are put at the top, and this is what attracts the attention of the customers.
Perceived company reputation on the customers:
If the customers have no involvement with a particular seller, then standing might likely be a key to engross clienteles. From other people's expression of mouth, then clienteles can be positive with an organization and form a positive experience towards the company.
References Chen Shih-Chih, L. S.-H.-Y. (2011). technlogy acceptance model. australian journal of business and management research, 124. D, D. F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 319-340. Fu, H. M. (2020). Intelligent decision-making of online behaviour based on the internet things. International Journal of Information Management,50, 515-525. Rafique, H. A. (2020). Investigating the acceptance of mobile library applications with an extended technologyacceptance model(TAM). computers & education, 145.