The Role of Perceived Ease of Use and Perceived Usefulness on Personality Traits among Adults

IF 0.9 Q3 EDUCATION & EDUCATIONAL RESEARCH Open Praxis Pub Date : 2022-01-01 DOI:10.55982/openpraxis.14.2.142
H. Salar, N. Hamutoğlu
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引用次数: 0

Abstract

It has been suggested that individuals’ technology acceptance are affected by personality traits. This paper aims to emphasise the importance of personality traits beyond BIG 5 on the acceptance and individual usage of Cloud Computing Systems (CCSs) with Perceived Ease of Use (PEU) and Perceived Usefulness (PU). Based on this, a quantitative cross-sectional survey research was designed, and 722 students studying at Sakarya University, Pedagogical Training Certification Program in the academic year of 2016–2017 were involved to the study. A path analysis which is a structural equation model was performed to examine the direct and indirect effects of the variables that are theoretically interrelated in the study. According to the results, while Extroversion (EXT), Agreeableness (AGR), Conscientiousness (CONS), and OE are not predictors of PEU and PU components, Nervousness (NEUR), is a significant predictor of PEU in the model. In addition to this, behavioural intention (BI) is significantly predicted by both PU and PEU, and PEU is a significant predictor of PU and BI on the individual usage of CCSs.
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感知易用性和感知有用性对成人人格特质的影响
有人认为,个人的技术接受程度受到人格特质的影响。本文旨在强调BIG 5之外的人格特征对接受和个人使用具有感知易用性(PEU)和感知有用性(PU)的云计算系统(CCSs)的重要性。在此基础上,设计了一种定量的横断面调查研究,以2016-2017学年Sakarya大学教学培训认证项目的722名学生为研究对象。路径分析是一种结构方程模型,用于检查研究中理论上相互关联的变量的直接和间接影响。结果表明,外向性(EXT)、亲和性(AGR)、责任心(CONS)和OE不是PEU和PU成分的预测因子,而神经质(NEUR)是模型中PEU的显著预测因子。除此之外,行为意向(BI)可由PU和PEU显著预测,PEU是PU和BI对CCSs个人使用的显著预测因子。
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来源期刊
Open Praxis
Open Praxis EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
3.50
自引率
6.20%
发文量
0
审稿时长
13 weeks
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