Dr Morteza Namvar
Lecturer in BIS
School of Business
+61 7 344 31211
Room 529, Joyce Ackroyd Building, St. Lucia Campus
Researcher biography
Morteza Namvar is an Assistant Professor (Lecturer) in the Business Information Systems discipline at UQ Business School. Morteza is a dedicated Machine Learning (ML) scholar and specialist. Joining the business school, he brought the experience and knowledge of computer science and IT engineering to business research. The overarching topic of his research program is explaining and using ML and NLP (Natural Language Processing) in organisations. The followings are the main research themes that Morteza is pursuing in his academic career: a) Effective use of ML, b) Using the existing ML and NLP techniques for social media analytics, and c) Improving and optimising ML and NLP techniques. Morteza has had success in attracting several external funding for NLP projects. His works are published in top-tier IS and computer science journals and conferences. Morteza teaches ML using Python programming and cloud computing (i.e., AWS) in the UQ business school.
Journal Articles
Pool, Javad, Namvar, Morteza, Akhlaghpour, Saeed and Fatehi, Farhad (2022). Exploring public opinion about telehealth during COVID-19 by social media analytics. Journal of Telemedicine and Telecare, 28 (10), 718-725. doi: 10.1177/1357633x221122112
Namvar, Morteza, Intezari, Ali, Akhlaghpour, Saeed and Brienza, Justin P. (2022). Beyond effective use: integrating wise reasoning in machine learning development. International Journal of Information Management 102566, 102566. doi: 10.1016/j.ijinfomgt.2022.102566
Namvar, Morteza and Chua, Alton Y.K. (2022). The impact of context clues on online review helpfulness. Internet Research. doi: 10.1108/intr-02-2021-0093
Gholizadeh, Mehran, Akhlaghpour, Saeed, Namvar, Morteza and Teixeira Isaias, Pedro (2022). Emergent affordances and potential challenges of mobile learning apps: Insights from online reviews. Information Technology & People, ahead-of-print (ahead-of-print), 2500-2517. doi: 10.1108/itp-05-2021-0412
Intezari, Ali, Namvar, Morteza and Taghinejad, Ramin (2022). Knowledge identity (KI): a determining factor in the effective use of analytics. Knowledge Management Research and Practice, 20 (1), 14-33. doi: 10.1080/14778238.2021.1967213
Naghavipour, Hadi, Soon, Tey Kok, Idris, Mohd Yamani Idna Bin, Namvar, Morteza, Salleh, Rosli Bin and Gani, Abdullah (2022). Hybrid metaheuristics for QoS-Aware Service Composition: a systematic mapping study. IEEE Access, 10, 12678-12701. doi: 10.1109/access.2021.3133505
Namvar, Morteza, Intezari, Ali and Im, Ghiyoung (2021). Sensegiving in organizations via the use of business analytics. Information Technology & People, ahead-of-print (ahead-of-print), 1615-1638. doi: 10.1108/itp-10-2020-0735
philsoophian, Maryam, Akhavan, Peyman and Namvar, Morteza (2021). The mediating role of blockchain technology in improvement of knowledge sharing for supply chain management. Management Decision, ahead-of-print (ahead-of-print), 784-805. doi: 10.1108/MD-08-2020-1122
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 1654. doi: 10.3127/ajis.v22i0.1654
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
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
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
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 Papers
Namvar, Morteza, Akhlaghpour, Saeed, Pool, Javad and Priscilia, Anisa (2022). Towards explaining user satisfaction with contact tracing mobile applications in a time of pandemic: a text analytics approach. Hawaii International Conference on System Sciences (HICSS), Hawaii, United States, 3-7 January 2022. Roskilde, Denmark: Roskilde University. doi: 10.24251/HICSS.2022.293
Sharifi Khajedehi, Salma, Namvar, Morteza, Pool, Javad and Akhlaghpour, Saeed (2022). On Justification: Legislating a Digital First Artifact. International Conference on Information Systems (ICIS) , Copenhagen, Denmark, 19-14 December 2022. Atlanta, GA United States: AIS eLibrary.
Namvar, Morteza, Akhlaghpour, Saeed, Boyce, James and Sharifi, Salma (2022). Iterative seed word generation for interactive topic modelling: a mixed text processing and qualitative content analysis approach. International Conference on Information Systems (ICIS), Copenhagen, Denmark, 9-14 December 2022.
Gholizadeh, Mehran, Akhlaghpour, Saeed, Teixeira Isaias, Pedro and Namvar, Morteza (2021). Utilitarian, hedonic and monetary motivations of using mobile learning apps: Opinion mining using big data text analytics. Australasian Conference on Information Systems 2021, Sydney, NSW Australia, 6-10 December 2021.
Intezari, Ali, Namvar, Morteza and Taghinejhad, Ramin (2021). Knowledge Identity (KI): A New Approach to Integrating Knowledge Management into Enterprise Systems. Hawaii International Conference on System Sciences (HICSS), Hawaii, United States, 5-8 January 2021. Honolulu, HI United States: HICCS.
Namvar, Morteza and Intezari, Ali (2021). Wise data-driven decision-making. Conference on e-Business, e-Services and e-Society, Galway, Ireland, 1-3 September 2021. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-030-85447-8_10
Namvar, Morteza, Boyce, James, Sarna, Jatin, Zheng, Yuanyuan, Chua Yeow Kuan, Alton and Ameli, Sina (2021). Moderating effects of time-related factors in predicting the helpfulness of online reviews: a deep learning approach. Hawaii International Conference on System Sciences 2021, Kauai, HI, United States, 5- 8 January 2021. IEEE Computer Society. doi: 10.24251/hicss.2021.092
Namvar, Morteza (2020). A novel approach to predict the helpfulness of online reviews. Hawaii International Conference on System Sciences , Maui, HI, United States, 7-10 January 2020. Honolulu, HI, United States: Hawaii International Conference on System Sciences. doi: 10.24251/hicss.2020.348
Akhavan, Peyman, Philsoophian, Maryam, Rajabion, Lila and Namvar, Morteza (2018). Developing a block-chained knowledge management model (BCKMM): beyond traditional knowledge management. 19th European Conference on Knowledge Management, ECKM 2018, Padua, Italy, 6-7 September 2018. Sonning Common, United Kingdom: Academic Conferences and Publishing International.
Namvar, Morteza and Cybulski, Jacob (2014). BI-based organizations: a sensemaking perspective. 35th International Conference on Information Systems, Auckland, New Zealand, 14-17 December 2014. Association for Information Systems.
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. 3rd International Conference on Information and Financial Engineering (ICIFE 2011), Shanghai, China, 19-21 August 2011 . Singapore: IACSIT Press.
KhakAbi, Sahand, Gholamian, Mohammad R. and Namvar, Morteza (2010). Data mining applications in customer churn management. UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, ISMS 2010, Liverpool, United Kingdom, 27-29 January 2010. Piscataway, NJ, United States: IEEE. doi: 10.1109/ISMS.2010.49
Namvar, Morteza, Gholamian, Mohammad R. and KhakAbi, Sahand (2010). A two phase clustering method for intelligent customer segmentation. UKSim/AMSS 1st International Conference on Intelligent Systems, Modelling and Simulation, Liverpool, United Kingdom, 27-29 Jan 2010. Los Alamitos, CA USA: IEEE Computer Society. doi: 10.1109/ISMS.2010.48