Theories about technology accepentace

why the users accept or reject the information technology?

Authors

DOI:

https://doi.org/10.36311/1981-1640.2007.v1n2.05.p69

Keywords:

Technology Acceptance, Informational Behavior, Users, Information Technology

Abstract

The acceptance and use of information technology is a subject that has received the attention of researchers and professionals in the Computer Science, Information Systems and Information Science, because the prospect that a well-developed system will be used, since start with the assumption that good solutions in software, can bring competitive advantage to businesses and individuals. Understanding why people use or discard computers has become one of the most challenging issues in research on information systems. In literature, it is possible to identify various theories that attempt to predict the impact of technology on human behavior however this article will make a brief review of literature on three theories. They are: Theory of Reasoned Action (TRA), Theory of Planned Behavior (TPB) and finally Technology Accepentace Model (TAM), model which will better explained, because it is the best known and used in the area of information systems.

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Author Biographies

  • Patrícia Maria Silva, Universidade Federal da Paraíba

    Mestranda do Programa de Pós-Graduação em Ciência da Informação pela UFPB, Especialista em Gestão Estratégica de Sistemas de Informação pela UFRN, Bibliotecária do Conselho Regional de Medicina do Estado de PE.

  • Guilherme Ataíde Dias, Universidade Federal da Paraíba

    Doutor em Ciência da Comunicação (Ciência da Informação) pela USP; Mestre em Administração pela Central Connecticut State University, USA; Graduado em Ciência da Computação pela UFPB campus II e Professor vinculado ao Programa de Pós-Graduação em Ciência da Informação da UFPB.

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Published

2008-07-29

Issue

Vol. 1 No. 2 (2007)

Section

Papers

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How to Cite

“Theories about Technology Accepentace: Why the Users Accept or Reject the Information Technology?”. Brazilian Journal of Information Science: Research Trends, vol. 1, no. 2, July 2008, pp. 69-91, https://doi.org/10.36311/1981-1640.2007.v1n2.05.p69.