Ly Fie Sugianto

Assoc Professor

Accepting PhD Students

19972019
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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)

Research area keywords

  • Agent Based Simulation
  • Business Information Systems
  • Business forecasting
  • Decision Support Systems
  • E-commerce
  • Electricity Market
  • Simulation and Modelling

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Projects 2001 2012

Research Output 1997 2019

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 proceedingChapter (Book)Researchpeer-review

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., 2019, (Accepted/In press) In : Personnel Review. 48, 16 p.

Research output: Contribution to journalArticleResearchpeer-review

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 proceedingChapter (Book)Researchpeer-review

Measuring mobile portal user satisfaction

Seng, D., Sugianto, L. F. & Wilkin, C., 5 Dec 2016, Proceedings of the 27th Australasian Conference on Information Systems (ACIS2016). Fisher, J. & Fernandez, W. (eds.). Wollongong NSW Australia: University of Wollongong, p. 1-12 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

Open Access
File
15 Citations (Scopus)

The effect of mobile technology usage on work engagement and emotional exhaustion in Japan

Fujimoto, Y., Ferdous, A. S., Sekiguchi, T. & Sugianto, L. F., 1 Sep 2016, In : Journal of Business Research. 69, 9, p. 3315-3323 9 p.

Research output: Contribution to journalArticleResearchpeer-review