{"title":"Trust building in the sharing economy: proposition and test of an integrated model","authors":"Bruno Fernandes, R. Nogueira, P. Chimenti","doi":"10.1108/bl-01-2023-0012","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe purpose of this study is to propose and test an integrated model to explain how trust is built in sharing economy (SE) transactions.\n\n\nDesign/methodology/approach\nInitially, prior literature was systematically selected and synthesized to develop a comprehensive framework applicable to multiple trust-building perspectives and categories of SE platforms. Then, a survey was conducted to validate the constructs and test the model with Airbnb guests. A sample of 351 responses was collected and analyzed using structural equation modeling.\n\n\nFindings\nThe results indicate that the cues an individual assesses to infer their counterpart’s trustworthiness and the reasons the individual has for engaging in the SE transaction can explain a large variance in their trust in the counterpart. In addition, the individual’s propensity to trust moderates this relationship.\n\n\nResearch limitations/implications\nThe proposed model can help identify the most effective trust-building mechanisms. It can be taken as a common knowledge base for scholars to compare the four trust-building perspectives and different categories of SE platforms, as well as to investigate the subject over time and across cultures.\n\n\nPractical implications\nThis research can also help practitioners understand the complexity of building trust and design platform features to do so.\n\n\nSocial implications\nA unified model clarifies trust in the SE, aiding platform growth and community bonding. This insight guides platforms in feature enhancement and policymakers in drafting balanced regulations.\n\n\nOriginality/value\nTo the best of the authors’ knowledge, for the first time, there is a comprehensive and parsimonious model applicable to the four trust-building perspectives and different categories of SE platforms.\n","PeriodicalId":293295,"journal":{"name":"The Bottom Line","volume":"37 6","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Bottom Line","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/bl-01-2023-0012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
The purpose of this study is to propose and test an integrated model to explain how trust is built in sharing economy (SE) transactions.
Design/methodology/approach
Initially, prior literature was systematically selected and synthesized to develop a comprehensive framework applicable to multiple trust-building perspectives and categories of SE platforms. Then, a survey was conducted to validate the constructs and test the model with Airbnb guests. A sample of 351 responses was collected and analyzed using structural equation modeling.
Findings
The results indicate that the cues an individual assesses to infer their counterpart’s trustworthiness and the reasons the individual has for engaging in the SE transaction can explain a large variance in their trust in the counterpart. In addition, the individual’s propensity to trust moderates this relationship.
Research limitations/implications
The proposed model can help identify the most effective trust-building mechanisms. It can be taken as a common knowledge base for scholars to compare the four trust-building perspectives and different categories of SE platforms, as well as to investigate the subject over time and across cultures.
Practical implications
This research can also help practitioners understand the complexity of building trust and design platform features to do so.
Social implications
A unified model clarifies trust in the SE, aiding platform growth and community bonding. This insight guides platforms in feature enhancement and policymakers in drafting balanced regulations.
Originality/value
To the best of the authors’ knowledge, for the first time, there is a comprehensive and parsimonious model applicable to the four trust-building perspectives and different categories of SE platforms.
本研究旨在提出并测试一个综合模型,以解释信任是如何在共享经济(SE)交易中建立起来的。设计/方法/途径首先,系统地选择并综合了先前的文献,以建立一个适用于多种信任建立视角和共享经济平台类别的综合框架。然后,我们进行了一项调查,以验证构建的模型,并对 Airbnb 客人进行测试。研究结果表明,个人为推断对方的可信度而评估的线索以及个人参与 SE 交易的原因可以解释他们对对方信任度的巨大差异。此外,个人的信任倾向也会调节这种关系。实践意义这项研究还可以帮助从业人员了解建立信任的复杂性,并设计出相应的平台功能。社会意义统一的模型明确了社会企业中的信任,有助于平台的发展和社区的建立。据作者所知,这是第一次有一个适用于四种信任建立视角和不同类别社会企业平台的全面而简洁的模型。