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2022 Conference Publication Exploring the relationship between influencers’ sentiment and cryptocurrency fluctuation through microblogsNamvar, Morteza, Li, Jingqi, Boyce, James, Akhlaghpour, Saeed and Indulska, Marta (2022). Exploring the relationship between influencers’ sentiment and cryptocurrency fluctuation through microblogs. ACIS 2022 - Australasian Conference on Information Systems, Melbourne, VIC, Australia, 4-7 December 2022. Atlanta, GA, United States: Association for Information Systems. |
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2022 Journal Article Exploring public opinion about telehealth during COVID-19 by social media analyticsPool, 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 |
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2022 Conference Publication Iterative seed word generation for interactive topic modelling: a mixed text processing and qualitative content analysis approachNamvar, 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. Atlanta, GA United States: Association for Information Systems. |
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2022 Journal Article Beyond effective use: integrating wise reasoning in machine learning developmentNamvar, 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, 69 102566, 102566. doi: 10.1016/j.ijinfomgt.2022.102566 |
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2022 Journal Article The impact of context clues on online review helpfulnessNamvar, Morteza and Chua, Alton Y.K. (2022). The impact of context clues on online review helpfulness. Internet Research, 33 (3), 1015-1030. doi: 10.1108/intr-02-2021-0093 |
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2022 Journal Article Emergent affordances and potential challenges of mobile learning apps: Insights from online reviewsGholizadeh, 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, 35 (7), 2500-2517. doi: 10.1108/itp-05-2021-0412 |
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2022 Journal Article The mediating role of blockchain technology in improvement of knowledge sharing for supply chain managementphilsoophian, Maryam, Akhavan, Peyman and Namvar, Morteza (2022). The mediating role of blockchain technology in improvement of knowledge sharing for supply chain management. Management Decision, 60 (3), 784-805. doi: 10.1108/MD-08-2020-1122 |
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2022 Conference Publication Towards explaining user satisfaction with contact tracing mobile applications in a time of pandemic: a text analytics approachNamvar, 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 |
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2022 Journal Article Hybrid metaheuristics for QoS-Aware Service Composition: a systematic mapping studyNaghavipour, 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 |
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2022 Journal Article Knowledge identity (KI): a determining factor in the effective use of analyticsIntezari, 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 |
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2022 Conference Publication On Justification: Legislating a Digital First ArtifactSharifi 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. |
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2021 Conference Publication Utilitarian, hedonic and monetary motivations of using mobile learning apps: Opinion mining using big data text analyticsGholizadeh, 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. |
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2021 Journal Article Sensegiving in organizations via the use of business analyticsNamvar, 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 |
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2021 Journal Article Highly efficient green synthesis of highly pure microporous nanosilica from silicomanganese slagNamvar, Morteza, Mahinroosta, Mostafa and Allahverdi, Ali (2021). Highly efficient green synthesis of highly pure microporous nanosilica from silicomanganese slag. Ceramics International, 47 (2), 2222-2229. doi: 10.1016/j.ceramint.2020.09.062 |
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2021 Conference Publication Knowledge Identity (KI): A New Approach to Integrating Knowledge Management into Enterprise SystemsIntezari, 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 |
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2021 Conference Publication Moderating effects of time-related factors in predicting the helpfulness of online reviews: a deep learning approachNamvar, 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. Honolulu: IEEE Computer Society. doi: 10.24251/hicss.2021.092 |
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2021 Conference Publication Wise data-driven decision-makingNamvar, 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 |
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2020 Conference Publication A novel approach to predict the helpfulness of online reviewsNamvar, 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 |
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2018 Conference Publication Developing a block-chained knowledge management model (BCKMM): beyond traditional knowledge managementAkhavan, 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. |
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2018 Journal Article Simplifying sensemaking: concept, process, strengths, shortcomings, and ways forward for information systems in contemporary business environmentsNamvar, 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 |
