{"title":"Perceived trust: Do all of its dimensions matter for insurance inclusion?","authors":"Archillies Kiwanuka, Athenia Bongani Sibindi","doi":"10.21511/ins.13(1).2022.09","DOIUrl":null,"url":null,"abstract":"The study aimed to examine the significance of perceived trust dimensions in explaining insurance inclusion in Uganda. Insurance inclusion remained very low in Uganda. Although trust is vital for insurance inclusion, it is not known whether all of its dimensions are relevant for insurance inclusion. As such, hierarchical regression analysis was adopted to investigate the predictive power of the individual dimensions of perceived trust on insurance inclusion. The significance of the individual components was attained by determining the change in the adjusted R2 and the significance of the change. Hence, the results showed that integrity (β = 0.316, p < 0.01), credibility (β = 0.252, p < 0.01) and reliability (β = 0.211, p < 0.01) were significant positive predictors of insurance inclusion. However, the results showed benevolence (β = 0.018, p > 0.05) to have an insignificant positive influence on insurance inclusion in Uganda. The effect of benevolence on insurance inclusion was practically and statistically insignificant. Overall results showed that independent variables explained 50.6% of the variance in insurance inclusion in Uganda when combined. Unlike prior studies that have investigated the general effect of trust as the global variable, the current study examined the impact of the independent dimensions of trust in explaining insurance inclusion. Besides, earlier studies ignored the trust theory, which provides key dimensions for understanding trust. The current study reveals that not all dimensions of perceived trust are significant for insurance inclusion in Uganda.","PeriodicalId":32827,"journal":{"name":"Insurance Markets and Companies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Insurance Markets and Companies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21511/ins.13(1).2022.09","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Economics, Econometrics and Finance","Score":null,"Total":0}
引用次数: 0
Abstract
The study aimed to examine the significance of perceived trust dimensions in explaining insurance inclusion in Uganda. Insurance inclusion remained very low in Uganda. Although trust is vital for insurance inclusion, it is not known whether all of its dimensions are relevant for insurance inclusion. As such, hierarchical regression analysis was adopted to investigate the predictive power of the individual dimensions of perceived trust on insurance inclusion. The significance of the individual components was attained by determining the change in the adjusted R2 and the significance of the change. Hence, the results showed that integrity (β = 0.316, p < 0.01), credibility (β = 0.252, p < 0.01) and reliability (β = 0.211, p < 0.01) were significant positive predictors of insurance inclusion. However, the results showed benevolence (β = 0.018, p > 0.05) to have an insignificant positive influence on insurance inclusion in Uganda. The effect of benevolence on insurance inclusion was practically and statistically insignificant. Overall results showed that independent variables explained 50.6% of the variance in insurance inclusion in Uganda when combined. Unlike prior studies that have investigated the general effect of trust as the global variable, the current study examined the impact of the independent dimensions of trust in explaining insurance inclusion. Besides, earlier studies ignored the trust theory, which provides key dimensions for understanding trust. The current study reveals that not all dimensions of perceived trust are significant for insurance inclusion in Uganda.
该研究旨在研究感知信任维度在解释乌干达保险纳入方面的重要性。乌干达的保险覆盖率仍然很低。尽管信任对保险纳入至关重要,但尚不清楚其所有维度是否都与保险纳入相关。因此,本研究采用层次回归分析,探讨个体维度感知信任对保险包容性的预测能力。通过确定调整后R2的变化和变化的显著性来获得各成分的显著性。因此,结果表明完整性(β = 0.316, p <0.01),可信度(β = 0.252, p <0.01)和信度(β = 0.211, p <0.01)是保险纳入的显著正预测因子。然而,结果显示仁慈(β = 0.018, p >0.05)对乌干达的保险纳入有不显著的正向影响。仁慈对保险纳入的影响在实践和统计上都不显著。总体结果表明,当合并时,自变量解释了乌干达保险纳入差异的50.6%。与之前的研究不同,信任作为全局变量的一般效应,本研究考察了信任在解释保险纳入方面的独立维度的影响。此外,早期的研究忽略了信任理论,而信任理论是理解信任的关键维度。目前的研究表明,并非感知信任的所有维度都对乌干达的保险纳入具有重要意义。