Wang Rongzhao, Lin Xuanxuan, Ye Zetong, Gao Hua, Liu Jianrong
School of Psychology, Fujian Normal University, Fuzhou, China.
Front Psychol. 2022 Aug 2;13:939508. doi: 10.3389/fpsyg.2022.939508. eCollection 2022.
This study aimed to analyze the mediating effect of tolerance of uncertainty (TU) and trait anxiety (TA) on future self-continuity (FSC) and intention to use Internet wealth management (IUIWM) systems. A questionnaire survey was distributed online and a total of 388 participants completed questionnaire, The questionnaire included the following scales: Chinese version of the FSC, Intention to Use the Internet Wealth Management, TU, and TA. Pearson correlation was used to investigate the correlation coefficient between variables while the sequential regression method was used to analyze relationship between variables. To analyze the collected data, the SPSS 26.0 was used. A two-step procedure was applied to analyze the mediation effect. Confirmatory factor analysis (CFA) was conducted to test the measurement model. Afterward, the Maximum Likelihood method was used for path analysis, and the Bias-corrected Bootstrap method was used to investigate determine the estimated value and confidence interval of the mediating effect. To analyze the mediation effect, the Mplus 7.0 was used. The results showed that FSC positively predicted individuals' Internet wealth management systems. Furthermore, TU and TA played complete serial multiple mediating roles between FSC and IUIWM. The role of TA and TU have negative impact on intention to use. This study provides a theoretical basis in personality psychology that Internet financial product suppliers can use to improve the attractiveness of their products. Product managers can subdivide users according to these personality traits to provide customized products.
本研究旨在分析不确定性容忍度(TU)和特质焦虑(TA)在未来自我连续性(FSC)与互联网财富管理使用意愿(IUIWM)系统之间的中介作用。通过在线发放问卷进行调查,共有388名参与者完成了问卷。问卷包括以下量表:中文版的FSC、互联网财富管理使用意愿、TU和TA。采用Pearson相关性分析变量间的相关系数,同时使用逐步回归法分析变量间的关系。使用SPSS 26.0对收集到的数据进行分析。采用两步法分析中介效应。进行验证性因素分析(CFA)以检验测量模型。之后,使用极大似然法进行路径分析,并使用偏差校正Bootstrap法来确定中介效应的估计值和置信区间。使用Mplus 7.0分析中介效应。结果表明,FSC正向预测个体对互联网财富管理系统的使用。此外,TU和TA在FSC与IUIWM之间发挥了完全的串行多重中介作用。TA和TU的作用对使用意愿有负面影响。本研究在人格心理学方面提供了理论依据,互联网金融产品供应商可据此提高其产品的吸引力。产品经理可根据这些人格特质对用户进行细分,以提供定制化产品。