Facilitating Employee Intention to Work with Robots

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dc.contributor.author You, Sangseok
dc.contributor.author Robert, Lionel + Jr
dc.date.accessioned 2017-12-07T23:21:12Z
dc.date.available 2017-12-07T23:21:12Z
dc.date.issued 2017-12-10
dc.identifier.citation You, 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, Korea en_US
dc.identifier.uri http://hdl.handle.net/2027.42/139708
dc.description.abstract Organizations 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.iso en_US en_US
dc.publisher AIS en_US
dc.subject robots en_US
dc.subject human robot interaction en_US
dc.subject robotic worker en_US
dc.subject human-robot similarity en_US
dc.subject human robot cooperation en_US
dc.subject willingness to work with robots en_US
dc.subject integrating robots en_US
dc.subject diversity en_US
dc.subject robot co-worker en_US
dc.subject robotic workforce en_US
dc.subject deep level similarity en_US
dc.subject surface level similarity en_US
dc.subject Robotic Partner en_US
dc.subject Robotics and Autonomous Systems en_US
dc.subject Autonomous Robots en_US
dc.subject Social Robotics en_US
dc.subject Robotics Research en_US
dc.subject Human robot collaboration en_US
dc.subject human robot teamwork en_US
dc.subject Working with Robots en_US
dc.title Facilitating Employee Intention to Work with Robots en_US
dc.type Article en_US
dc.subject.hlbsecondlevel Information and Library Science
dc.subject.hlbtoplevel Social Sciences
dc.description.peerreviewed Peer Reviewed en_US
dc.contributor.affiliationum Information, School of en_US
dc.contributor.affiliationum Syracuse University en_US
dc.contributor.affiliationumcampus Ann Arbor en_US
dc.description.bitstreamurl https://deepblue.lib.umich.edu/bitstream/2027.42/139708/1/DIGIT-04.pdf
dc.identifier.source Proceedings of the Twenty-Second DIGIT Workshop en_US
dc.identifier.orcid 0000-0002-1410-2601 en_US
dc.description.filedescription Description of DIGIT-04.pdf : Main article
dc.owningcollname Information, School of (SI)
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