Lecturer in BIS
Overview
Morteza Namvar is Lecturer in Business Information Systems and Analytics at the University of Queensland (UQ) in Brisbane, Australia. Completing an undergraduate degree in computer engineering, Morteza added a master’s degree in information technology (IT) in Iran. After two years’ of work in this field, he moved to Australia in 2012 to continue his research in Information Systems. He completed a PhD that investigates how business intelligence and big data help organisational leaders make sense of the business environment in 2016 at Deakin University. Before finishing the PhD study, Morteza started his position as a Lecturer in the School of Information Systems and Business Analytics at Deakin University. Morteza then joined the School of Computing and Information Technology at the University of Wollongong, where he started several research projects in Blockchain technologies. Morteza started his lecture position in at the University of Queensland (UQ) on Jan 2019.
His research interests are in the areas of social media analytics and Blockchain technologies. In his recent projects, he has applied text analytics to discover fake online reviews. His articles have been published in several journals (e.g., CAIS, JAIS, MD) and peer-reviewed conference proceedings (ICIS, HICSS).
He has served as Associate Editor at ACIS, PACIS, as track chair at ACIS, and as a reviewer for various international journals (e.g., I&M and ACIS) and conferences (e.g., ICIS, ACIS, HICSS).
Morteza has also presented the practical contribution of his research to various industries. In 2018, he collaborated with a team in UNSW in research entitled “Social Listening in Healthcare: A DIGITAL SANDBOX”. In the “Leadership and Management Quarter”, which was held at Sydney, he presented his analysis of health-related tweets using big data and text analytics to senior health executives from Local Health Districts, the Ministry of Health, pillar organizations, and other health organizations.
Research Interests
- Social media analytics
- Blochchain technology
- Sensemaking theory
Publications
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Conference Publication: Developing a block-chained knowledge management model (BCKMM): beyond traditional knowledge management
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.
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Journal Article: Simplifying sensemaking: concept, process, strengths, shortcomings, and ways forward for information systems in contemporary business environments
Namvar, Morteza, Cybulski, Jacob L., Phang, Cynthia Su Chen, Ee, Yaw Seng and Tan, Kevin Tee Liang (2018) Simplifying sensemaking: concept, process, strengths, shortcomings, and ways forward for information systems in contemporary business environments. Australasian Journal of Information Systems, 22 . doi:10.3127/ajis.v22i0.1654
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Journal Article: Using business intelligence to support the process of organizational sensemaking
Namvar, Morteza, Cybulski, Jacob L. and Perera, Luckmika (2016) Using business intelligence to support the process of organizational sensemaking. Communications of the Association for Information Systems, 38 1: 330-352. doi:10.17705/1CAIS.03820
Publications
Journal Article
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Namvar, Morteza, Cybulski, Jacob L., Phang, Cynthia Su Chen, Ee, Yaw Seng and Tan, Kevin Tee Liang (2018) Simplifying sensemaking: concept, process, strengths, shortcomings, and ways forward for information systems in contemporary business environments. Australasian Journal of Information Systems, 22 . doi:10.3127/ajis.v22i0.1654
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Using business intelligence to support the process of organizational sensemaking
Namvar, Morteza, Cybulski, Jacob L. and Perera, Luckmika (2016) Using business intelligence to support the process of organizational sensemaking. Communications of the Association for Information Systems, 38 1: 330-352. doi:10.17705/1CAIS.03820
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Namvar, Morteza and Khalilzadeh, Pejman (2013) Exploring the role of intellectual capital in the development of e-business models: evidence from the Iranian carpet industry. International Journal of Commerce and Management, 23 2: 97-112. doi:10.1108/10569211311324902
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Namvar, Morteza, Khakabimamaghani, Sahand and Gholamian, Mohammad Reza (2011) An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features. International Journal of Electronic Customer Relationship Management, 5 3-4: 220-235. doi:10.1504/IJECRM.2011.044688
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Namvar, Morteza, Fathian, Mohammad, Akhavan, Peyman and Gholamian, Mohammad Reza (2010) Exploring the impacts of intellectual property on intellectual capital and company performance: The case of Iranian computer and electronic organizations. Management Decision, 48 5: 676-697. doi:10.1108/00251741011043876
Conference Publication
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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.
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BI-based organizations: a sensemaking perspective
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.
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Exploring the role of human capital on firm's structural capital in Iranian e-business industry
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 .
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A two phase clustering method for intelligent customer segmentation
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
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Data mining applications in customer churn management
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.
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Social media listening in healthcare
