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Predicting intention to share information on commercial websites based on personality traits

机译:预测基于人格特征的商业网站分享信息的意图

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Purpose - The growing popularity of e-oommerce, in recent years, has led to an increase in sharing information in cyberspace. Personality traits are one of the most effective personal factors in sharing information on business websites. This study aims to investigate the relationship between personality traits and intention to share information on commercial websites. Design/methodology/approach - In this survey study, structural equation modeling was used. The statistical population of this study consisted of 385 Iranian students. Two questionnaires, i.e. personality traits and intention to share information, were used to collect the required data. The validity of the research instruments was estimated by calculating the average variance extracted. Furthermore, the reliability was assessed and confirmed by Cronbach's alpha coefficient and composite reliability. Data analysis was performed with AMOS and partial least squares statistical software. Findings - The results indicated that the components of personality traits including authoritarianism, self-esteem, locus of control and adaptation had a significant positive effect on intention to share information. Originality/value - In this study, the authors designed a model to examine the effect of personality traits on intention to share information on commercial websites.
机译:目的 - 近年来,电子商务的日益普及导致网络空间中的共享信息增加。人格特质是分享商业网站信息中最有效的个人因素之一。本研究旨在调查人格特质与分享商业网站信息的意图之间的关系。设计/方法/方法 - 在该调查研究中,使用了结构方程模型。本研究的统计人口由385名伊朗学生组成。两个问卷,即人格特质和有意分享信息,用于收取所需数据。通过计算提取的平均方差估算了研究仪器的有效性。此外,通过Cronbach的alpha系数和复合可靠性评估和证实可靠性。使用AMOS和部分最小二乘统计软件进行数据分析。结果 - 结果表明,包括威权主义,自尊,控制权的人格特质的组成部分对分享信息的意图具有显着的积极影响。原创性/价值 - 作者设计了一种模型,以检查人格特质是否有意分享商业网站信息的意图。

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