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Facilitating Employee Intention to Work with Robots

dc.contributor.authorYou, Sangseok
dc.contributor.authorRobert, Lionel + Jr
dc.date.accessioned2017-12-07T23:21:12Z
dc.date.available2017-12-07T23:21:12Z
dc.date.issued2017-12-10
dc.identifier.citationYou, S. and Robert, L. P. (2017). Facilitating Employee Intention to Work with Robots, presented at the Twenty-First Diffusion Interest Group In Information Technology Workshop (DIGIT 2017), Dec 10, Seoul, Koreaen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/139708
dc.identifier.urihttp://aisel.aisnet.org/digit2017/8/
dc.description.abstractOrganizations are adopting and integrating robots to work with and alongside their human employees. However, their human employees are not necessarily happy about this new work arrangement. This may be in part due to the increasing fears that robots will eventually take their jobs. Organizations are now facing the challenge of integrating robots into their workforce by encouraging humans to work with their robotic teammates. To address this issue, this study employs similarity and attraction theory to encourage humans to work with and alongside their robotic co-worker. Our research model asserts that surface and deep level similarity with the robot will impact a human’s willingness to work with a robot. We also seek to examine whether risk moderates the importance of both surface and deep level similarity. To empirically examine this model, this proposal presents an experimental design. Results of the study should provide new insights into the benefits and limitations of similarity to encourage humans to work with and alongside their robot co-worker.en_US
dc.language.isoen_USen_US
dc.publisherAISen_US
dc.subjectrobotsen_US
dc.subjecthuman robot interactionen_US
dc.subjectrobotic workeren_US
dc.subjecthuman-robot similarityen_US
dc.subjecthuman robot cooperationen_US
dc.subjectwillingness to work with robotsen_US
dc.subjectintegrating robotsen_US
dc.subjectdiversityen_US
dc.subjectrobot co-workeren_US
dc.subjectrobotic workforceen_US
dc.subjectdeep level similarityen_US
dc.subjectsurface level similarityen_US
dc.subjectRobotic Partneren_US
dc.subjectRobotics and Autonomous Systemsen_US
dc.subjectAutonomous Robotsen_US
dc.subjectSocial Roboticsen_US
dc.subjectRobotics Researchen_US
dc.subjectHuman robot collaborationen_US
dc.subjecthuman robot teamworken_US
dc.subjectWorking with Robotsen_US
dc.titleFacilitating Employee Intention to Work with Robotsen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumInformation, School ofen_US
dc.contributor.affiliationumSyracuse Universityen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/139708/1/DIGIT-04.pdf
dc.identifier.sourceProceedings of the Twenty-Second DIGIT Workshopen_US
dc.identifier.orcid0000-0002-1410-2601en_US
dc.description.filedescriptionDescription of DIGIT-04.pdf : Main article
dc.identifier.name-orcidRobert, Lionel P.; 0000-0002-1410-2601en_US
dc.owningcollnameInformation, School of (SI)


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