Completing an undergraduate science degree in Iran, Morteza added a master’s degree in science that majored in information technology (IT) engineering. After two years’ of work in this field, he soon realised that while many researchers were already developing predictive models, predictive models are not used to their fullest in strategic decision making. He, therefore, completed a PhD that investigates how business intelligence and big data help organisational leaders make sense of the business environment. Morteza's work has been published in Communications of Association for Information Systems, Management Decisions and International Conference on Information Systems. He is now working as a lecturer in the Deakin Business School’s Department of Information Systems and Business Analytics and enjoys sharing his knowledge with students who are keen to learn about the tools, techniques and concepts of business intelligence and analytics.
- Visualis analytics
- Business intelliegence
- Text analytics
- Predictive Analytics (2016)
- Business Requirement Analysis (2013-2016)
- Decision Modeling for Business Analytics (2015)
- Business Intelligence (2014)
- Data Warehousing (2014)
- Enterprise Information Management (2014)
- Namvar M. (2015) “Making Sense of Organisations by Analytics’ Emerging Trends”, Business Analytics Congress (BAC2015), Fort Worth, USA.
- Namvar M. and Cybulski J. (2014) " BI-based Organizations: A Sensemaking Perspective", International Conference on Information Systems (ICIS2014), New Zealand.
- Namvar M., Gholamian M.R. and KhakAbi S. (2010) “A two phase clustering method for intelligent customer segmentation”, First International Conference on Intelligent systems, Modeling and Simulation (ISMS), Liverpool.
- KhakAbi S., Gholamian M. R. and Namvar M. (2010) “Applications of data mining techniques in customer churn management”, First International Conference on Intelligent systems, Modeling and Simulation (ISMS), Liverpool.
- Namvar M., Gholamian M. R., Akhavan P. and Fathian M. (2010) "Exploring the impacts of structural capital on e-business implementation", 6th International Conference on Information & Communication Technology Management (ICTM), Tehran.
- Namvar M., Fathian M., Gholamian M.R. and Akhavan P. (2010) “Exploring the Role of human Capital on Firm’s Structural Capital in Iranian E-business Industry”, International Conference of Management Technology and Applications (ICMTA), Singapore.
- Gholamian M. R., Akhavan P., Moahmmadipoor F. and Namvar M. (2010) “Prioritization structural capital indicators in Iranian e-business”, Management International Conference (MIC), Ankara.
- Namvar M., Gholamian M.R. and KhakAbi S. (2009) "Electronic business selection based on firm’s intellectual capital", 8th International Conference on e-Business (iNCEB), Bangkok.
- Fathian M, Gholamian M.R. and Namvar M. (2009) "Intellectual property and intellectual capital: a new classification model", International Conference on Intellectual Capital Management (IICM), Zanjan.
- KhakAbi S., Gholamian M.R. and Namvar M. (2009) “An Ontology for e-Business models based on SCOPE of CRM”, 8th International Conference on e-Business (iNCEB), Bangkok
Best paper award in 6th International Conference of Technology Management, 2010. Tehran, Iran, 2010
M Namvar, J Cybulski, L Perera
(2016), Vol. 38, pp. 330-352, Communications of the association for information systems, Atlanta, Ga., C1
M Namvar, J Cybulski
(2014), pp. 1-17, ICIS 2014 : 35th International Conference on Information Systems "Building a Better World Through Information Systems", Auckland, New Zealand, E1
M Namvar, P Khalilzadeh
(2013), Vol. 23, pp. 97-112, International journal of commerce and management, Bingley, Eng., C1
M Namvar, S Khakabimamaghani, M Gholamian
(2011), Vol. 5, pp. 220-235, International Journal of Electronic Customer Relationship Management, Olney, Eng., C1-1
M Namvar, M Fathian, P Akhavan, M Gholamian
(2010), Vol. 48, pp. 676-697, Management Decision, Bingley, Eng., C1-1
Funded Projects at Deakin
No Funded Projects at Deakin found
No completed student supervisions to report