Professor Graeme Shanks

Professor

School of Business
Faculty of Business, Economics and Law

Overview

Graeme Shanks is a Professor in the Business Information Systems discipline at the UQ Business School, The University of Queensland. He is also Honorary Professor in the School of Computing and Information Systems, The University of Melbourne. He was previously Associate Dean (Research) in the Faculty of Information Technology at Monash University. His research interests include understanding how organisations benefit from artificial intelligence, business analytics and enterprise architecture, and ethical aspects of big data analytics.He has published the outcomes of his research in over 200 journal and conference papers. He was awarded an Australian Professorial Fellow position by the Australian Research Council in 2010, and was a member of the College of Experts of the Australian Research Council from 2004-2005.

Qualifications

  • Doctor of Philosophy, Monash University
  • Masters (Coursework), Monash University
  • Postgraduate Diploma, Monash University

Publications

View all Publications

Publications

Book Chapter

  • Breidbach, Christoph F., Davern, Michael, Shanks, Graeme and Asadi-Someh, Ida (2019). On the ethical implications of big data in service systems. Handbook of service science. (pp. 661-674) edited by Paul P. Maglio, Cheryl A. Kieliszewski, James C. Spohrer, Kelly Lyons, Lia Patrício and Yuriko Sawatani. Cham, Switzerland: Springer. doi: 10.1007/978-3-319-98512-1_29

  • Shanks, Graeme and Bekmamedova, Nargiza (2018). Case study research in information systems. Research methods: information, systems, and contexts. (pp. 193-208) edited by Kirsty Williamson and Graeme Johanson. Sawston, Cambridge, United Kingdom: Chandos Publishing. doi: 10.1016/b978-0-08-102220-7.00007-8

  • Price, Rosanne and Shanks, Graeme (2016). A semiotic information quality framework: development and comparative analysis. Enacting research methods in information systems. (pp. 219-250) edited by Leslie P. Willcocks, Chris Sauer and Mary C. Lacity. Cham, Switzerland: Palgrave Macmillan. doi: 10.1007/978-3-319-29272-4_7

  • Rivera, David Santiago and Shanks, Graeme (2014). A dashboard to support management of business analytics capabilities. DSS 2.0 – supporting decision making with new technologies. (pp. 253-264) Amsterdam, The Netherlands: IOS Press. doi: 10.3233/978-1-61499-399-5-253

  • Bekmamedova, Nargiza, Shanks, Graeme and Carlsson, Sven (2014). Achieving organisational benefits with social media analytics. DSS 2.0 – supporting decision making with new technologies. (pp. 533-544) Amsterdam, The Netherlands: IOS Press. doi: 10.3233/978-1-61499-399-5-533

  • Wood, Miguel, Milton, Simon and Shanks, Graeme (2014). The influence of personality traits on online information behaviour during political campaigns. DSS 2.0 – supporting decision making with new technologies. (pp. 203-214) Amsterdam, The Netherlands: IOS Press. doi: 10.3233/978-1-61499-399-5-203

  • Shanks, Graeme, Bekmamedova, Nargiza, Adam, Frederic and Daly, Mary (2012). Embedding business intelligence systems within organisations. Fusing decision support systems into the fabric of the context. (pp. 113-124) Amsterdam, The Netherlands: IOS Press. doi: 10.3233/978-1-61499-073-4-113

  • Shanks, Graeme and Bekmamedova, Nargiza (2012). Integrating business analytics systems with the enterprise environment: an evolutionary process perspective. Fusing decision support systems into the fabric of the context. (pp. 161-172) Amsterdam, The Netherlands: IOS Press. doi: 10.3233/978-1-61499-073-4-161

  • Shanks, Graeme, Nuredini, Jasmina and Weber, Ron (2005). Evaluating conceptual modelling practices: composites, things, properties. Business Systems Analysis with Ontologies. (pp. 28-55) edited by Peter Green and Michael Rosemann. Hershey, PA, United States: Idea Group Publishing. doi: 10.4018/978-1-59140-339-5.ch002

  • Seddon, Peter B., Lewis, Geoffrey, Freeman, Phil and Shanks, Graeme (2004). Business models and their relationship to strategy1. Value Creation from E-Business Models. (pp. 11-24) Elsevier Ltd.. doi: 10.1016/B978-075066140-9/50004-7

Journal Article

Conference Publication