Putting farmers at the centre of industry innovation
As the world’s population grows there is increasing pressure on the agriculture sector to produce safe, high quality food in production systems that are climate smart, transparent and ...
Six James Cook University (JCU) research delegates attended the global 23rd International Conference on Electronic Business (ICEB) which was held across October 19 -23 last year, in Chiayi, Taiwan.
Adjunct Professor John Hamilton advised that seven papers were presented. This conference is today’s worldwide top academic Electronic Business conference. It is ISSN: 1683-0040 EI-Compendex/Scopus (since 2005), overseen by the International Consortium for Electronic Business (http://icebnet.org/) editorial board, and affiliated with the Association of Information Systems.
The 2023 conference included seven outstanding global scholar or journal editor keynote speeches. It was hosted by the College of Management, National Chung Cheng University (CCU), Chiayi, Taiwan and supported by Faculty of Business and Economics, University of Hong Kong (HKU), S.A.R. China and co-sponsored by International Consortium for Electronic Business, Journal of Business and Management, and International Journal of Electronic Business.
The following published JCU researchers’ conference papers are also available at ResearchOnline@JCU, and at https://aisnet.org/.
• Marino, S. (2023) Delivering Smart Warehousing in Australia.
• Pont, S., Hamilton, J. R., Maxwell, S. J., & Tee, S. (2023). Employee demographics in the human resource Space in a religious not-for-profit organization in Australia: Understanding for organizational retention rates.
• Maxwell, S. J., & Hamilton, J. R. (2023). Towards understanding university governance within Australia.
• Alharbi, H., Hamilton, J. R., & Maxwell, S.J. (2023). COVID19 and information technology: a systematic review.
• Hamilton, J. R., Maxwell, S., & Tee, S. (2023). AI and Firm Competitiveness.
• Hamilton, J. R., Maxwell, S. J., & Lynch, R. P. (2023). Prioritizing AI for smart, self-learning, autonomous, humanoid robots.
• Hamilton, J. R. & Maxwell, S. (2023). Artificial Intelligence (AI), Rio Tinto and Firm Leading-Edge AI Competitiveness Model.