{"title":"机器人过程自动化的用户接受模型","authors":"Judith Wewerka, Sebastian Dax, M. Reichert","doi":"10.1109/EDOC49727.2020.00021","DOIUrl":null,"url":null,"abstract":"Robotic Process Automation (RPA) is the rule-based automation of business processes by software bots mimicking human interactions to relieve employees from tedious work. However, any RPA initiative will not be successful if user acceptance is poor. So far, variables influencing RPA user acceptance have not been systematically investigated. The objective of this paper is to develop a model for assessing RPA user acceptance as well as variables influencing it. We derive this model using the Technology Acceptance Model (TAM) and extend TAM by RPA-specific variables. Our empirical validation indicates that the most important variables, which significantly influence perceived usefulness and perceived ease of use are facilitating conditions, result demonstrability, innovation joy, and social influence. These findings can be used to derive concrete recommendations for the design and implementation of RPA bots increasing acceptance of employees using the bots during their daily work. For the first time, an RPA user acceptance model is presented and validated contributing to an increased maturity of RPA projects.","PeriodicalId":409420,"journal":{"name":"2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"A User Acceptance Model for Robotic Process Automation\",\"authors\":\"Judith Wewerka, Sebastian Dax, M. Reichert\",\"doi\":\"10.1109/EDOC49727.2020.00021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Robotic Process Automation (RPA) is the rule-based automation of business processes by software bots mimicking human interactions to relieve employees from tedious work. However, any RPA initiative will not be successful if user acceptance is poor. So far, variables influencing RPA user acceptance have not been systematically investigated. The objective of this paper is to develop a model for assessing RPA user acceptance as well as variables influencing it. We derive this model using the Technology Acceptance Model (TAM) and extend TAM by RPA-specific variables. Our empirical validation indicates that the most important variables, which significantly influence perceived usefulness and perceived ease of use are facilitating conditions, result demonstrability, innovation joy, and social influence. These findings can be used to derive concrete recommendations for the design and implementation of RPA bots increasing acceptance of employees using the bots during their daily work. For the first time, an RPA user acceptance model is presented and validated contributing to an increased maturity of RPA projects.\",\"PeriodicalId\":409420,\"journal\":{\"name\":\"2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EDOC49727.2020.00021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 24th International Enterprise Distributed Object Computing Conference (EDOC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EDOC49727.2020.00021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
摘要
机器人流程自动化(Robotic Process Automation, RPA)是一种基于规则的业务流程自动化,通过软件机器人模仿人类交互,将员工从繁琐的工作中解脱出来。然而,如果用户接受度差,任何RPA计划都不会成功。到目前为止,影响RPA用户接受度的变量尚未得到系统的研究。本文的目的是开发一个模型来评估RPA用户的接受程度以及影响它的变量。我们使用技术接受模型(TAM)推导了这个模型,并通过特定于rpa的变量扩展了TAM。我们的实证验证表明,影响感知有用性和感知易用性的最重要变量是促进条件、结果可论证性、创新快乐和社会影响力。这些发现可以用来为RPA机器人的设计和实现提供具体的建议,从而提高员工在日常工作中使用机器人的接受度。第一次提出并验证了RPA用户接受模型,这有助于提高RPA项目的成熟度。
A User Acceptance Model for Robotic Process Automation
Robotic Process Automation (RPA) is the rule-based automation of business processes by software bots mimicking human interactions to relieve employees from tedious work. However, any RPA initiative will not be successful if user acceptance is poor. So far, variables influencing RPA user acceptance have not been systematically investigated. The objective of this paper is to develop a model for assessing RPA user acceptance as well as variables influencing it. We derive this model using the Technology Acceptance Model (TAM) and extend TAM by RPA-specific variables. Our empirical validation indicates that the most important variables, which significantly influence perceived usefulness and perceived ease of use are facilitating conditions, result demonstrability, innovation joy, and social influence. These findings can be used to derive concrete recommendations for the design and implementation of RPA bots increasing acceptance of employees using the bots during their daily work. For the first time, an RPA user acceptance model is presented and validated contributing to an increased maturity of RPA projects.