User acceptance of AI advice in the context of collaborative supply chains formationCitation formats

Standard

User acceptance of AI advice in the context of collaborative supply chains formation. / Cisneros Cabrera, Sonia; Mehandjiev, Nikolay; Felfernig, Alexander; Sampaio, Pedro; Kununka, Sophia.

2019. Poster session presented at Network Plus: Industrial Systems in the Digital Age Conference 2019, Nottingham, United Kingdom.

Research output: Contribution to conferencePosterpeer-review

Harvard

Cisneros Cabrera, S, Mehandjiev, N, Felfernig, A, Sampaio, P & Kununka, S 2019, 'User acceptance of AI advice in the context of collaborative supply chains formation', Network Plus: Industrial Systems in the Digital Age Conference 2019, Nottingham, United Kingdom, 25/06/19 - 26/06/19. <https://connectedeverythingmedia.files.wordpress.com/2019/07/ce2019_paper_16.pdf>

APA

Cisneros Cabrera, S., Mehandjiev, N., Felfernig, A., Sampaio, P., & Kununka, S. (2019). User acceptance of AI advice in the context of collaborative supply chains formation. Poster session presented at Network Plus: Industrial Systems in the Digital Age Conference 2019, Nottingham, United Kingdom. https://connectedeverythingmedia.files.wordpress.com/2019/07/ce2019_paper_16.pdf

Vancouver

Cisneros Cabrera S, Mehandjiev N, Felfernig A, Sampaio P, Kununka S. User acceptance of AI advice in the context of collaborative supply chains formation. 2019. Poster session presented at Network Plus: Industrial Systems in the Digital Age Conference 2019, Nottingham, United Kingdom.

Author

Cisneros Cabrera, Sonia ; Mehandjiev, Nikolay ; Felfernig, Alexander ; Sampaio, Pedro ; Kununka, Sophia. / User acceptance of AI advice in the context of collaborative supply chains formation. Poster session presented at Network Plus: Industrial Systems in the Digital Age Conference 2019, Nottingham, United Kingdom.1 p.

Bibtex

@conference{3e156fc5c67940e58a6959c04ff888e7,
title = "User acceptance of AI advice in the context of collaborative supply chains formation",
abstract = "The future manufacturing vision behindIndustry 4.0 identifies businesscollaboration as one of the core enablersof the new industrial paradigm [1]. Ourteam at the University of Manchester worksclosely with automotive and aerospacemanufacturers to develop an advancedknowledge-driven configurator system [2]that advises its users with whichbusinesses to partner to “catch” a specificbusiness opportunity. The users of oursystem are of course the key to its uptakeand impact. We therefore need tounderstand the key factors which makethem accept recommendations from such asystem, and their relationships, creating afactor model of advice acceptance.We aim to answer this research question:What are the important factors influencingusers{\textquoteright} acceptance of advice coming out ofa knowledge-based system in the contextof business collaboration? ",
author = "{Cisneros Cabrera}, Sonia and Nikolay Mehandjiev and Alexander Felfernig and Pedro Sampaio and Sophia Kununka",
year = "2019",
language = "English",
note = "Network Plus: Industrial Systems in the Digital Age Conference 2019 : Designing a Connected Future ; Conference date: 25-06-2019 Through 26-06-2019",
url = "https://connectedeverything.ac.uk/conference-2019-2/",

}

RIS

TY - CONF

T1 - User acceptance of AI advice in the context of collaborative supply chains formation

AU - Cisneros Cabrera, Sonia

AU - Mehandjiev, Nikolay

AU - Felfernig, Alexander

AU - Sampaio, Pedro

AU - Kununka, Sophia

PY - 2019

Y1 - 2019

N2 - The future manufacturing vision behindIndustry 4.0 identifies businesscollaboration as one of the core enablersof the new industrial paradigm [1]. Ourteam at the University of Manchester worksclosely with automotive and aerospacemanufacturers to develop an advancedknowledge-driven configurator system [2]that advises its users with whichbusinesses to partner to “catch” a specificbusiness opportunity. The users of oursystem are of course the key to its uptakeand impact. We therefore need tounderstand the key factors which makethem accept recommendations from such asystem, and their relationships, creating afactor model of advice acceptance.We aim to answer this research question:What are the important factors influencingusers’ acceptance of advice coming out ofa knowledge-based system in the contextof business collaboration?

AB - The future manufacturing vision behindIndustry 4.0 identifies businesscollaboration as one of the core enablersof the new industrial paradigm [1]. Ourteam at the University of Manchester worksclosely with automotive and aerospacemanufacturers to develop an advancedknowledge-driven configurator system [2]that advises its users with whichbusinesses to partner to “catch” a specificbusiness opportunity. The users of oursystem are of course the key to its uptakeand impact. We therefore need tounderstand the key factors which makethem accept recommendations from such asystem, and their relationships, creating afactor model of advice acceptance.We aim to answer this research question:What are the important factors influencingusers’ acceptance of advice coming out ofa knowledge-based system in the contextof business collaboration?

M3 - Poster

T2 - Network Plus: Industrial Systems in the Digital Age Conference 2019

Y2 - 25 June 2019 through 26 June 2019

ER -