Profile image of Morteza Namvar

Dr Morteza Namvar





Faculty of Business and Law


BL Deakin Business School


Melbourne Burwood Campus

Biography summary

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.

Research interests

  • Visualis analytics
  • Sensemaking
  • Business intelliegence
  • Text analytics

Units taught

  • 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


Filter by


Using business intelligence to support the process of organizational sensemaking

M Namvar, J Cybulski, L Perera

(2016), Vol. 38, pp. 330-352, Communications of the association for information systems, Atlanta, Ga., C1


BI-based organizations: a sensemaking perspective

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


Exploring the role of intellectual capital in the development of e-business models: the case of Iranian carpet industry

M Namvar, P Khalilzadeh

(2013), Vol. 23, pp. 97-112, International journal of commerce and management, Bingley, Eng., C1


An approach to optimised customer segmentation and profiling using RFM, LTV, and demographic features

M Namvar, S Khakabimamaghani, M Gholamian

(2011), Vol. 5, pp. 220-235, International Journal of Electronic Customer Relationship Management, Olney, Eng., C1-1


Exploring the impacts of intellectual property on intellectual capital and company performance: the case of Iranian computer and electronic organizations

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