Examining the Effects of Computer Self-Efficacy and System Complexity on Technology Acceptance

Abstract

Despite the prevalence of computing in all aspects of society, some computer systems may not be fully accepted by their intended users or become underutilized. Thus, acceptance and use of information technologies remain a paramount issue in information systems (IS) research and practice. Extending previous research by integrating computer self-efficacy and perceived system complexity as external variables to the technology acceptance model (TAM), this study examines the direct and indirect effects of these two factors on system acceptance and use. The results indicated that computer self-efficacy and system complexity had significant direct effects on perceived usefulness and perceived ease of use as well as indirect effects on attitude and behavioral intention. However, the effect of perceived ease of use on attitude was stronger than that of perceived usefulness. In turn, attitude demonstrated a non-significant impact on behavioral intention. These findings highlight several implications for research and practice.

Integrating Social Capital Theory, Social Cognitive Theory, and the Technology Acceptance Model to Explore a Behavioral Model of Telehealth Systems

“…These two studies have showed that system self-efficacy is a strong determinant of perceived ease of use before hands-on experience. Many previous empirical studies have also found system self-efficacy had a positive effect on perceived ease of use [8,50]. …”

“…Self-efficacy is a key element in SCT and refers to the judgments of people regarding their capabilities to organize and execute courses of action required to perform a task. Self-efficacy affects the behaviors that people choose to perform, the amount of effort they are prepared to exert, and the length of their persistence to overcome obstacles [8,15,47]. According SCT, self-efficacy is a major determinant of an individual’s task performance and has been found to have diverse psychological and behavioral effects in many areas of human psychosocial functioning [15,46].…”

“…Many studies of TAM have confirmed its robustness and reliability to predict and explain IS acceptance behavior [8]. Some studies have also utilized TAM to investigate patients’ adoption of healthcare information systems and found that TAM provides an appropriate theoretical basis [1,9,10,11].…”

Autoeficácia no uso do computador em situações de aprendizagem: uma análise da literatura internacional

“…Atitudes positivas perante o uso do computador, baixa ansiedade, confiança no uso da máquina, propensão para utilizar mais computadores e laboratórios de informática ou mais acessos ao software de apoio à aprendizagem também se confirmaram como aspectos correlacionados como nível de AEC dos indivíduos (Agarwal et al, 2000;Hasan, 2006;Ismail, Mahmud, Nor, Ahmad & Rahman, 2011;Khorrami-Arani, 2001;Mcilroy, Sadler & Boojawon, 2007;Noiwan, Piyawat, & Norcio, 2005;Tams, Craig & Murphy, 2011;Torkzadeh et al, 2006;Torkzadeh et al, 1999). Nas correlações negativas entre a autoeficácia e outras variáveis foi encontrado, no artigo de Agarwal et al (2000), que o nível de estresse associado ao uso da internet apresentou-se negativamente correlacionado com o nível de autoeficácia no uso da internet dos respondentes.…”

“…Como variável critério, os pesquisadores Barbeite e Weiss (2004) confirmaram a autoeficácia no uso de computadores como fator antecedente à percepção de conforto no uso de computadores. Com resultado parecido, Hasan (2006) investigou o modelo TAM (Technology Acceptance Model -Modelo de Aceitação de Tecnologia) proposto por Davis, Bagozzi e Warshaw (1989), e concluiu que a AEC pode ser considerada variável antecedente à percepção do aprendiz sobre a facilidade no uso de computadores, influenciando-a de maneira positiva.…”