{"title":"探讨投资者使用机器人顾问的意愿:情绪反应的中介作用","authors":"Huosong Xia, Qian Zhang, J. Zhang, L. J. Zheng","doi":"10.1108/imds-07-2022-0400","DOIUrl":null,"url":null,"abstract":"PurposeThis paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response.Design/methodology/approachThe authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain of robo-advisor users on financial technology platforms and conduct an empirical study based on 248 valid questionnaires.FindingsThe authors find two types of factors driving the willingness to use robo-advisors: perceived usefulness, trust and perceived risk as external driving forces and investor sentiment as an internal driving force. Trust has a significant positive effect on willingness to use, and arousal in emotional response plays a mediating role between perceived usefulness and willingness to use.Originality/valueThis research provides valuable insights for financial institutions to engage in robo-advisor innovation from customers' perspectives.","PeriodicalId":270213,"journal":{"name":"Industrial Management & Data Systems","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring investors' willingness to use robo-advisors: mediating role of emotional response\",\"authors\":\"Huosong Xia, Qian Zhang, J. Zhang, L. J. Zheng\",\"doi\":\"10.1108/imds-07-2022-0400\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"PurposeThis paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response.Design/methodology/approachThe authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain of robo-advisor users on financial technology platforms and conduct an empirical study based on 248 valid questionnaires.FindingsThe authors find two types of factors driving the willingness to use robo-advisors: perceived usefulness, trust and perceived risk as external driving forces and investor sentiment as an internal driving force. Trust has a significant positive effect on willingness to use, and arousal in emotional response plays a mediating role between perceived usefulness and willingness to use.Originality/valueThis research provides valuable insights for financial institutions to engage in robo-advisor innovation from customers' perspectives.\",\"PeriodicalId\":270213,\"journal\":{\"name\":\"Industrial Management & Data Systems\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-08-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Industrial Management & Data Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1108/imds-07-2022-0400\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Management & Data Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/imds-07-2022-0400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Exploring investors' willingness to use robo-advisors: mediating role of emotional response
PurposeThis paper aims to investigate investors' willingness to use robo-advisors from customers' perspectives and analyzes the factors that drive them to use robo-advisors, including perceived usefulness and emotional response.Design/methodology/approachThe authors extend the Cognition-Affect-Conation (CAC) framework to the behavioral domain of robo-advisor users on financial technology platforms and conduct an empirical study based on 248 valid questionnaires.FindingsThe authors find two types of factors driving the willingness to use robo-advisors: perceived usefulness, trust and perceived risk as external driving forces and investor sentiment as an internal driving force. Trust has a significant positive effect on willingness to use, and arousal in emotional response plays a mediating role between perceived usefulness and willingness to use.Originality/valueThis research provides valuable insights for financial institutions to engage in robo-advisor innovation from customers' perspectives.