Journal Article
Burton-Jones, Andrew, Amano, Tatsuya, Boyce, James, Chau, Patrick, Feng, Juan (Jane), Guzman, Indira R., Jarvenpaa, Sirkka, Li, Jingqi (Celeste), Namvar, Morteza, Padmanabhan, Balaji, Pineda, Jose, Richet, Jean-Loup, Sarker, Suprateek, Seidel, Stefan, Sharma, Sujeet, Vogel, Doug, Wang, Harry and Yoon, Victoria (2025). This article is not just in English: making science more inclusive and impactful with artificial intelligence translation. Australasian Journal of Information Systems, 29 5875, 1-54. doi: 10.3127/ajis.v29.5875
Conference Papers
Boyce, James, Phan, Thuy Linh (Isabella), Namvar, Morteza, Akhlaghpour, Saeed and Risius, Marten (2025). Who nudges the nudger? Conceptualizing an LLM-based Reciprocal Nudging System (LRNS). Pacific Asia Conference on Information Systems: PACIS 2025, Kuala Lumpur, Malaysia, 5 - 9 July 2025. Atlanta, GA, United States: Association for Information Systems (AIS).
Boyce, James, Namvar, Morteza, Lyu, Beibei, Liu, Yiying, Mensforth, Martha and Tao, Hsi-Wen (2025). The Interplay of Heuristic and Systematic Processing of Information in News Validation: A Natural Language Processing Approach. 58th Hawaii International Conference on System Sciences, Hi, Jan 07-10, 2025. Honolulu: IEEE Computer Society.
Boyce, James (2024). The matrix of influence: generative ai digital nudging leveraging generative AI to transform digital nudging. ICIS 2024 TREOS/45th International Conference on Information Systems, ICIS 2024, Bangkok, Thailand, 15-18 December 2025. Association for Information Systems.
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. Atlanta, GA United States: Association for Information Systems.
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. Honolulu: IEEE Computer Society. doi: 10.24251/hicss.2021.092