Projects per year
Personal profile
Biography
Dr Ly-Fie Sugianto is an Associate Professor in Accounting Information Systems at the Monash Business School, specializing in Data Analytics, AI and Machine Learning. She has expertise in applying data analytics and AI techniques to study the competitive behavior in the Australian electricity market. Her research projects include: exploring the effectiveness of deregulated electricity industry using agent based model; discovering emergence and gaming behavior in competitive market; examining the effect of mobile technology usage on work engagement and emotional exhaustion; measuring satisfaction in mobile portal usage. She has also been engaged in projects developing intelligent decision support systems to optimize inventory for Jeeralang power station and for Western Power (formerly the State Electricity Commission of Western Australia). Ly-Fie’s research in Data Analytics and AI applications in the electricity industry, and technology adoption studies, have been funded by a number of prestigious and competitive grants, including the ARC (SPIRT/Linkage) grant, the Australia Indonesia Governance Research Partnership (AIGRP) grant and the Sumitomo Foundation grant. Ly-Fie’s research in Data Analytics, AI and Information Systems topics had been published in top journals, such as the European Journal of Information Systems, Computer and Mathematics with Applications, Applied Mathematics Letters, and Journal of Business Research.
Consulting
Western Power, Ecogen Energy, AEMO (formerly known as NEMMCO)
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research area keywords
- Agent Based Simulation
- Business Information Systems
- Business forecasting
- Decision Support Systems
- E-commerce
- Electricity Market
- Simulation and Modelling
Collaborations and top research areas from the last five years
Projects
- 4 Finished
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MSME: The effect of safety and health climate in the daily operation of women’s MSMEs on business survival strategy during COVID-19 pandemic
Kusumastuti, R. & Sugianto, L. F.
15/04/21 → 31/03/22
Project: Research
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Implication of technology use on job satisfaction and employee well-being
28/03/11 → 31/07/12
Project: Research
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Investigating the effectiveness of a deregulated electricity market. (Grant administered by ANU)
5/05/08 → 15/06/09
Project: Research
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Dispatch Optimisation and Constraint Modelling in the Australian National Electricity Market - Apai
Smith-Miles, K., Al-Hakim, L. & Sugianto, L. F.
Australian Research Council (ARC), Australian Energy Market Operator
1/01/01 → 31/12/03
Project: Research
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The role of enterprise social media during the COVID-19 pandemic: insights from leaders' experience
Sugianto, L. F., Cheng, C., Moulang, C. & Considine, B., 23 Oct 2023, In: Australasian Journal of Information Systems. 27, 32 p.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile -
CrudeOilNews: an annotated Crude Oil News corpus for event extraction
Lee, M., Soon, L. K., Siew, E. G. & Sugianto, L. F., 2022, Language Resources and Evaluation Conference, LREC 2022. Calzolari, N., Bechet, F., Blache, P., Choukri, K., Cieri, C., Declerck, T., Goggi, S., Isahara, H., Maegaard, B., Mariani, J., Mazo, H., Odijk, J. & Piperidis, S. (eds.). Paris France: European Language Resources Association (ELRA), p. 465-479 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research
Open AccessFile4 Citations (Scopus) -
Leading others to go beyond the call of duty: a dyadic study of servant leadership and psychological ethical climate
Sendjaya, S., Eva, N., Robin, M., Sugianto, L., ButarButar, I. & Hartel, C., 2020, In: Personnel Review. 49, 2, p. 620-635 16 p.Research output: Contribution to journal › Article › Research › peer-review
19 Citations (Scopus) -
Examining servant leadership effects on team satisfaction: an agent-based approach
Prasad, K. & Sugianto, L. F., 2019, Leading for High Performance in Asia: Contemporary Research and Evidence-Based Practices. Sendjaya, S. (ed.). 1st ed. Singapore Singapore: Springer, p. 107-131 25 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review
1 Citation (Scopus) -
Discovering emergence and bidding behaviour in competitive electricity market using agent-based simulation
Sugianto, L-F. & Liao, Z., 2018, Proceedings of ELM-2016. Cao, J., Cambria, E., Lendasse, A., Miche, Y. & Vong, C. M. (eds.). Cham Switzerland: Springer, p. 145-158 14 p. 12. (Proceedings in Adaptation, Learning and Optimization; vol. 9).Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review