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2022

Journal Article

Hybrid metaheuristics for QoS-Aware Service Composition: a systematic mapping study

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

Hybrid metaheuristics for QoS-Aware Service Composition: a systematic mapping study

2021

Conference Publication

Utilitarian, hedonic and monetary motivations of using mobile learning apps: Opinion mining using big data text analytics

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. Association for Information Systems.

Utilitarian, hedonic and monetary motivations of using mobile learning apps: Opinion mining using big data text analytics

2021

Journal Article

Sensegiving in organizations via the use of business analytics

Namvar, Morteza, Intezari, Ali and Im, Ghiyoung (2021). Sensegiving in organizations via the use of business analytics. Information Technology & People, 34 (6), 1615-1638. doi: 10.1108/itp-10-2020-0735

Sensegiving in organizations via the use of business analytics

2021

Conference Publication

Knowledge Identity (KI): A New Approach to Integrating Knowledge Management into Enterprise Systems

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. doi: 10.24251/hicss.2021.594

Knowledge Identity (KI): A New Approach to Integrating Knowledge Management into Enterprise Systems

2021

Conference Publication

Moderating effects of time-related factors in predicting the helpfulness of online reviews: a deep learning approach

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

Moderating effects of time-related factors in predicting the helpfulness of online reviews: a deep learning approach

2021

Conference Publication

Wise data-driven decision-making

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

Wise data-driven decision-making

2020

Conference Publication

A novel approach to predict the helpfulness of online reviews

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

A novel approach to predict the helpfulness of online reviews

2018

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. 19th European Conference on Knowledge Management, ECKM 2018, Padua, Italy, 6-7 September 2018. Sonning Common, United Kingdom: Academic Conferences and Publishing International.

Developing a block-chained knowledge management model (BCKMM): beyond traditional knowledge management

2018

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 1654. doi: 10.3127/ajis.v22i0.1654

Simplifying sensemaking: concept, process, strengths, shortcomings, and ways forward for information systems in contemporary business environments

2016

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) 20, 330-352. doi: 10.17705/1CAIS.03820

Using business intelligence to support the process of organizational sensemaking

2014

Conference Publication

BI-based organizations: a sensemaking perspective

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.

BI-based organizations: a sensemaking perspective

2013

Journal Article

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

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

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

2011

Journal Article

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

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

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

2011

Conference Publication

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. 3rd International Conference on Information and Financial Engineering (ICIFE 2011), Shanghai, China, 19-21 August 2011 . Singapore: IACSIT Press.

Exploring the role of human capital on firm's structural capital in Iranian e-business industry

2010

Journal Article

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

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

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

2010

Conference Publication

Data mining applications in customer churn management

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

Data mining applications in customer churn management

2010

Conference Publication

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. 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

A two phase clustering method for intelligent customer segmentation