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Mechanisms of cognitive trust development in artificial intelligence among front line employees: An empirical examination from a developing economy

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dc.title Mechanisms of cognitive trust development in artificial intelligence among front line employees: An empirical examination from a developing economy en
dc.contributor.author Shamim, Saqib
dc.contributor.author Yang, Yumei
dc.contributor.author Zia, Najam Ul
dc.contributor.author Khan, Zaheer
dc.contributor.author Shariq, Syed Muhammad
dc.relation.ispartof Journal of Business Research
dc.identifier.issn 0148-2963 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1873-7978 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
utb.relation.volume 167
dc.type article
dc.language.iso en
dc.publisher Elsevier Inc.
dc.identifier.doi 10.1016/j.jbusres.2023.114168
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0148296323005271
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0148296323005271/pdfft?md5=ea2379707919f7231900e09156eeac1d&pid=1-s2.0-S0148296323005271-main.pdf
dc.subject artificial intelligence en
dc.subject cognitive trust en
dc.subject data governance en
dc.subject developing market en
dc.subject disruption in work routines en
dc.description.abstract Drawing upon insights from the trust literature, we conducted two empirical surveys with the front-line employees of firms in Pakistan investigating the factors influencing cognitive trust in artificial intelligence (AI). Study1 consisted of 46 in-depth interviews aimed at exploring factors influencing cognitive trust. Based on the findings of Study 1, we developed a framework to enhance employees’ cognitive trust in AI. We then conducted a quantitative survey (study 2) with 314 employees to validate the proposed model. The findings suggest that AI features positively influence the cognitive trust of employees, while work routine disruptions have negative impact on cognitive trust in AI. The effectiveness of data governance was also found to facilitate employees' trust in data governance and subsequently, employees' cognitive trust in AI. We contribute to the technology trust literature, especial in developing economics. We discuss the implications of our findings for both research and practice. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1011629
utb.identifier.obdid 43884529
utb.identifier.scopus 2-s2.0-85164996568
utb.identifier.wok 001144567500001
utb.identifier.coden JBRED
utb.source j-scopus
dc.date.accessioned 2023-09-05T23:17:40Z
dc.date.available 2023-09-05T23:17:40Z
dc.description.sponsorship Internal Grant Agency, Tomas Bata University in Zelin, Czech Republic [IGA/FaME/2022/008]
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Shariq, Syed Muhammad
utb.fulltext.affiliation Saqib Shamim a,b, Yumei Yang c,*, Najam Ul Zia d, Zaheer Khan b,e, Syed Muhammad Shariq f a School of Business and Management, Queen Mary University of London, UK b Innolab, University of Vaasa, Finland c Bournemouth University Business School, Bournemouth University, Bournemouth, UK d Oxford Brookes University, Oxford Brookes Business School, Headington Campus, Oxford OX3 0BP, UK e Business School, King’s College, University of Aberdeen, Aberdeen AB243FX, Scotland, UK f Faculty of Management and Economics, Tomas Bata University in Zlin, Czech Republic Corresponding author. E-mail address: yangy@bournemouth.ac.uk (Y. Yang).
utb.fulltext.dates Received 12 July 2022 Received in revised form 6 July 2023 Accepted 10 July 2023 Available online 13 July 2023
utb.fulltext.sponsorship This work is funded by Internal Grant Agency, Tomas Bata University in Zlin, Czech Republic, IGA/FaME/2022/008.
utb.wos.affiliation [Shamim, Saqib] Queen Mary Univ London, Sch Business & Management, London, England; [Shamim, Saqib; Khan, Zaheer] Univ Vaasa, Innolab, Vaasa, Finland; [Yang, Yumei] Bournemouth Univ, Business Sch, Bournemouth, England; [Ul Zia, Najam] Oxford Brookes Univ, Oxford Brookes Business Sch, Headington Campus, Oxford OX3 0BP, England; [Khan, Zaheer] Univ Aberdeen, Kings Coll, Business Sch, Aberdeen AB24 3FX, Scotland; [Shariq, Syed Muhammad] Tomas Bata Univ Zlin, Fac Management & Econ, Zlin, Czech Republic
utb.scopus.affiliation School of Business and Management, Queen Mary University of London, United Kingdom; Innolab, University of Vaasa, Finland; Bournemouth University Business School, Bournemouth University, Bournemouth, United Kingdom; Oxford Brookes University, Oxford Brookes Business School, Headington Campus, Oxford, OX3 0BP, United Kingdom; Business School, King's College, University of Aberdeen, Scotland, Aberdeen AB243FX, United Kingdom; Faculty of Management and Economics, Tomas Bata University in Zlin, Czech Republic
utb.fulltext.projects IGA/FaME/2022/008
utb.fulltext.faculty Faculty of Management and Economics
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