Dr Steve Lockey

Postdoctoral Research Fellow

School of Business
Faculty of Business, Economics and Law
s.lockey@uq.edu.au
+61 7 344 31206

Overview

Steve joined UQ Business School in in August 2019. He previously held a Lectureship at Northumbria University (UK) and a Research Associate position at Durham University Business School (UK), in which he investigated topics such as wellbeing in policing, and how leadership, feeling trusted, organisational policies, and processes influence service delivery and attitudes in police officers and staff.

Steve received his PhD in Management Studies from Durham University in June 2017. His thesis quantitively examined the role of emotions in the violation and repair of trust between organisations and customers, focusing particularly on the Volkswagen ‘Dieselgate’ scandal. Steve was jointly awarded the ‘Outstanding Thesis Award’ by Durham University Business School for this work. He is published in Business Ethics Quarterly and the International Journal of Police Science and Management.

Research Interests

  • Trust Repair
  • Emerging technologies
  • Well-being
  • Emotions at Work
  • Trust

Research Impacts

Steve's research trust in Artificial Intelligence has been featured in media outlets such as Sydney Morning Herald, The Australian, ABC Radio Queensland, and The Conversation and has been cited in the Australian Human Rights Commission’s (2021) Human Rights and Technology Report, the Australian Government’s (2021) Australia’s AI Action Plan. It was also cited as part of a presentation on the launch of Australia’s National AI Centre. He was an invited panellist at the Australia and New Zealand Policing Advisory Agency (ANZPAA) forum Spotlight on Artificial Intelligence in Policing in April 2022(>180 registrants). Further, Steve's work in the police context was cited in the UK Home Office's Front-Line Review of Policing, an initiative designed to capture ideas for improvements and change from the front line of policing, informed by academic evidence. His evidence-based report into the impact of performance-related pay in the public sector was cited in a submission by the National Police Chiefs’ Council to the Police Remuneration Review Body, which influences policy relating to police pay and benefits in England and Wales.

Qualifications

  • Doctor of Philosophy, Durham University

Publications

  • Gillespie, Nicole, Lockey, Steven, Curtis, Caitlin, Pool, Javad and Ali Akbari (2023). Trust in Artificial Intelligence: A global study. Brisbane, Australia; New York, United States: The University of Queensland; KPMG Australia. doi: 10.14264/00d3c94

  • Lockey, Steven, Edwards, Martin R., Hornsey, Matthew J., Gillespie, Nicole, Akhlaghpour, Saeed and Colville, Shannon (2021). Profiling Adopters (and Non-adopters) of a Contact Tracing Mobile Application: Insights from Australia. International Journal of Medical Informatics, 149 104414, 1-7. doi: 10.1016/j.ijmedinf.2021.104414

  • Lockey, Steven, Gillespie, Nicole, Holm, Daniel and Someh, Ida Asadi (2021). A review of trust in artificial intelligence: challenges, vulnerabilities and future directions. Hawaii International Conference on System Sciences , Honolulu, HI, United States, 4-8 January 2021. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2021.664

View all Publications

Publications

Featured Publications

Book Chapter

  • Lockey, Steve and Gillespie, Nicole (2024). Understanding trust in artificial intelligence: a research agenda. A Research Agenda for Trust. (pp. 11-24) Edward Elgar Publishing. doi: 10.4337/9781802200942.00009

  • Gillespie, Nicole, Lockey, Steve, Hornsey, Matthew and Okimoto, Tyler (2021). Trust repair: a multilevel framework. Understanding trust in organizations: a multilevel perspective. (pp. 143-176) New York, NY., United States of America: Taylor and Francis. doi: 10.4324/9780429449185

Journal Article

Conference Publication

  • Pool, Javad, Smith, Natalie, Dodds, Hunter, Lockey, Steven, Curtis, Caitlin, Rinta-Kahila, Tapani and Gillespie, Nicole (2023). An AI-enabled community safety service: stakeholder benefits and vulnerabilities. Australasian Conference on Information Systems (ACIS), Wellington, New Zealand, 5 - 8 December 2023. Atlanta, GA, United States: Association for Information Systems.

  • Mayer, Roger C., Jang, Dongil, Shah, Pri Pradhan, Jones, Stephen L., Siderits, Ian, Flynn, Patrick, Mulvey, Paul W, Lockey, Steve, Gillespie, Nicole, Pool, Javad, Curtis, Caitlin, Edwards, Martin, Belkin, Liuba, Tuskey, Sarah, Becker, William J., Korsgaard, M. Audrey, Strizver, Sam, Ployhart, Robert E and Williams, Michele (2023). From the complex present to the risk-laden future of trust: over the mountain and into the frying pan. 83rd Annual Meeting of the Academy of Management, Boston, MA United States, 4-8 August 2023. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/amproc.2023.18559symposium

  • Lockey, Steve, Gillespie, Nicole, Curtis, Caitlin, Bingley, William, Worthy, Peter, Haslam, Alexander, Steffens, Niklas, Bialkowski, Alina, Ko, Ryan and Wiles, Janet (2022). Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening. 82nd Annual Meeting of the Academy of Management, Seattle, WA United States, 5-9 August 2022. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/ambpp.2022.10638abstract

  • Lockey, Steven, Gillespie, Nicole, Holm, Daniel and Someh, Ida Asadi (2021). A review of trust in artificial intelligence: challenges, vulnerabilities and future directions. Hawaii International Conference on System Sciences , Honolulu, HI, United States, 4-8 January 2021. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2021.664

Other Outputs