Business School

Dr Mark Bremhorst

Room 415, Joyce Ackroyd Building, St. Lucia Campus

Mark studies systems design activities, decision-support systems, and computer augmented decision-making. Mark's research focuses on theories of cognition and how they can describe conceptual models that affect human-computer interaction. 

Publications

Book Chapter (1)
Conference Papers (4)
Thesis (1)

Book Chapter

Burton-Jones, Andrew, Bremhorst, Mark, Liu, Fang and Trieu, Van Hau (2017). IT use: notes from a journey from use to effective use. The Routledge companion to management information systems. (pp. 152-165) edited by Robert Galliers and Mari-Klara Stein. Abingdon, Oxon: Routledge. doi: 10.4324/9781315619361.ch11

Conference Papers

Jordan, Ree, Axelsen, Micheal, Matook, Sabine, Bremhorst, Mark, Burton-Jones, Andrew, Callan, Victor, Crowe, Louise, Karanasios, Stan, Mylonas, Aliisa, O'Quinn, Richard and Ranpara, Ashil (2024). Indigenizing Curriculum through Technology: A socio-technical perspective. European Conference on Information Systems 2024, Paphos, Cyprus, 13-19 June 2024. Atlanta, GA, United States: Association for Information Systems.
Bremhorst, Mark and Jordan, Ree (2023). How information systems can support heuristic decision making: a pilot study. Australiasian Conference on Information Systems, Wellington, New Zealand, 5-8 December 2023. Association for Information Systems.
Bremhorst, Mark (2018). A new look at an old problem: How digital representations can support data-driven decision-making in organizations. 39th International Conference on Information Systems, ICIS 2018, San Francisco, CA United States, 13-16 December 2018. Atlanta, GA United States: Association for Information Systems.
Bremhorst, Mark (2017). How information systems can support data-driven decision-making. Academy of Management Annual Meeting, Briarcliff Manor, NY, United States: Academy of Management. doi: 10.5465/ambpp.2017.15256abstract

Thesis

Bremhorst, Mark (2020). Three essays on digital representation and decision making: theory-driven study, data-driven study, and integration. PhD Thesis, School of Business, The University of Queensland. doi: 10.14264/132a139