Hsini Huang, Kyoung-Cheol Kim, Matthew M. Young, Justin B. Bullock
{"title":"A matter of perspective: differential evaluations of artificial intelligence between managers and staff in an experimental simulation","authors":"Hsini Huang, Kyoung-Cheol Kim, Matthew M. Young, Justin B. Bullock","doi":"10.1080/23276665.2021.1945468","DOIUrl":null,"url":null,"abstract":"ABSTRACT This article tests whether managers and staff evaluate artificial intelligence (AI)-based process innovations differently. Scholars have argued perceptions of innovation vary systematically as a function of an individual’s position within organisations. We test for attitudinal differences between managers and staff via an online experimental simulation fielded among working-age Taiwanese citizens employed in public sector employment (n = 600). Respondents engage in a 12-round simulation. We experimentally vary whether the respondent receives support from an AI decision support tool. We assess pre-intervention and post-intervention attitudes towards the use of AI for a suite of organisational tasks, using a difference-in-difference estimation approach to identify the causal effect of organisational position on innovation evaluation. Our findings suggest managers are more supportive of AI as a decision support tool than staff, and remain so after the simulation. Managers also increased their support of AI tools to a larger degree than staff.","PeriodicalId":43945,"journal":{"name":"Asia Pacific Journal of Public Administration","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia Pacific Journal of Public Administration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/23276665.2021.1945468","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC ADMINISTRATION","Score":null,"Total":0}
引用次数: 5
Abstract
ABSTRACT This article tests whether managers and staff evaluate artificial intelligence (AI)-based process innovations differently. Scholars have argued perceptions of innovation vary systematically as a function of an individual’s position within organisations. We test for attitudinal differences between managers and staff via an online experimental simulation fielded among working-age Taiwanese citizens employed in public sector employment (n = 600). Respondents engage in a 12-round simulation. We experimentally vary whether the respondent receives support from an AI decision support tool. We assess pre-intervention and post-intervention attitudes towards the use of AI for a suite of organisational tasks, using a difference-in-difference estimation approach to identify the causal effect of organisational position on innovation evaluation. Our findings suggest managers are more supportive of AI as a decision support tool than staff, and remain so after the simulation. Managers also increased their support of AI tools to a larger degree than staff.