Dr Morteza Namvar

Lecturer in Business

School of Business
Faculty of Business, Economics and Law
m.namvar@business.uq.edu.au
+61 7 344 31211

Overview

My background is in the fields of IT and Computer Engineering. I moved to Australia from Iran in 2012 to pursue an Information Systems PhD at Deakin University, investigating how business intelligence and big data help organisational leaders make sense of the business environment. Since then, I have held Lecturer positions at both Deakin University and the University of Wollongong. I joined The University of Queensland in January 2019 to start my lecturer position. My research interests include social media analytics and blockchain technology.

Research Interests

  • Social media analytics
  • Blochchain technology
  • Sensemaking theory

Publications

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Available Projects

View all Available Projects

Publications

Journal Article

Conference Publication

  • Akhavan, Peyman, Philsoophian, Maryam, Rajabion, Lila and Namvar, Morteza (2018). Developing a block-chained knowledge management model (BCKMM): beyond traditional knowledge management. In: Proceedings of the 19th European Conference on Knowledge Management, ECKM 2018. 19th European Conference on Knowledge Management, ECKM 2018, Padua, Italy, (17-24). 6-7 September 2018.

  • Namvar, Morteza and Cybulski, Jacob (2014). BI-based organizations: a sensemaking perspective. In: 35th International Conference on Information Systems, Auckland, New Zealand, (). 14-17 December 2014.

  • Namvar, Morteza, Fathian, Mohammad, Gholamin, Mohammad R. and Akhavan, Peyman (2011). Exploring the role of human capital on firm's structural capital in Iranian e-business industry. In: 3rd International Conference on Information and Financial Engineering (ICIFE 2011), Shanghai, China, (145-150). 19-21 August 2011 .

  • Namvar, Morteza, Gholamian, Mohammad R. and KhakAbi, Sahand (2010). A two phase clustering method for intelligent customer segmentation. In: UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, Liverpool, United Kingdom, (215-+). 27-29 Jan 2010. doi:10.1109/ISMS.2010.48

  • KhakAbi, Sahand, Gholamian, Mohammad R. and Namvar, Morteza (2010). Data mining applications in customer churn management. In: ISMS 2010 - UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation. UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2010, Liverpool, United Kingdom, (220-225). 27-29 January 2010. doi:10.1109/ISMS.2010.49

Possible Research Projects

Note for students: The possible research projects listed on this page may not be comprehensive or up to date. Always feel free to contact the staff for more information, and also with your own research ideas.