01
Machine learning frameworks to analyze climate change impact on hydropower productivity (opens in a new tab)
Applied Water ScienceVol. 16, no. 3Pages: 54Springer International Publishing Cham
Opening the academic archive…
Research impact
Strategy, technology, and human behavior in motion.
An international research program examining how organizations build sustainable capabilities—and how people respond to the technologies, institutions, and markets around them.
Research portfolio
Five fields of inquiry, one connected body of work.
Explore 152 scholarly records grouped by their primary research contribution. This thematic view complements the publication-type archive.
Selected field
Artificial Intelligence, Digital Transformation, Analytics & Decision Systems
AI and digital transformation, technology adoption, analytics, machine learning, optimization, forecasting, and decision-support systems.
28 records
02
Navigating the future: envisioning metaverse adoption in Indonesian tourism through the technological–organizational–environmental (TOE) framework (opens in a new tab)
Journal of Theoretical and Applied Electronic Commerce ResearchVol. 20, no. 2Pages: 118MDPI
03
Advanced predictive modeling of municipal solid waste management using robust machine learning (opens in a new tab)
Scientific ReportsVol. 15, no. 1Pages: 43247Nature Publishing Group UK London
04
Navigating the Future of the Aviation Market: Machine Learning-Based Intention and Attitude Analysis (opens in a new tab)
Conference on Information Technology and its ApplicationsPages: 951-964Springer Nature Switzerland Cham
05
Transparency and Accountability (opens in a new tab)
Challenges in Large Language Model Development and AI EthicsPages: 178-211IGI Global; DOI: 10.4018/979-8-3693-3860-5
06
Data Ethics and Privacy (opens in a new tab)
Challenges in Large Language Model Development and AI EthicsPages: 321-353IGI Global; DOI: 10.4018/979-8-3693-3860-5
07
Foundations of AI Ethics (opens in a new tab)
Challenges in Large Language Model Development and AI EthicsPages: 82-114IGI Global; DOI: 10.4018/979-8-3693-3860-5
08
Incorporating Web Semantics, the Technology Acceptance Model, and the Theory of Planned Behavior for Analyzing User Intentions on Dating Apps (opens in a new tab)
International Journal on Semantic Web and Information Systems (IJSWIS)Vol. 20, no. 1Pages: 1-20IGI Global Scientific Publishing
09
Monthly river discharge forecasting using hybrid models based on extreme gradient boosting coupled with wavelet theory and Lévy–Jaya optimization algorithm (opens in a new tab)
Water Resources ManagementVol. 37, no. 10Pages: 3953-3972Springer Netherlands Dordrecht
10
Web semantic-based MOOP Algorithm for facilitating allocation problems in the supply chain domain (opens in a new tab)
International Journal on Semantic Web and Information Systems (IJSWIS)Vol. 19, no. 1Pages: 1-23IGI Global Scientific Publishing
11
SAPD: Secure Authentication Protocol Development for Smart Healthcare Management Using IoT (opens in a new tab)
2023 IEEE 12th Global Conference on Consumer Electronics (GCCE)Pages: 1014-1018IEEE
12
A novel deep federated learning-based model to enhance privacy in critical infrastructure systems (opens in a new tab)
International Journal of Software Science and Computational Intelligence (IJSSCI)Vol. 15, no. 1Pages: 1-23IGI Global Scientific Publishing
13
Feasibility of soft computing techniques for estimating the long-term mean monthly wind speed (opens in a new tab)
Energy ReportsVol. 8Pages: 638-648Elsevier
14
Predictive analytics in business analytics: decision tree
Advances in Decision SciencesVol. 26, no. 1Pages: 1-29Asia University, Taiwan
15
A robust approach to pore pressure prediction applying petrophysical log data aided by machine learning techniques (opens in a new tab)
Energy ReportsVol. 8Pages: 2233-2247Elsevier
16
A novel approach for estimation of sediment load in Dam reservoir with hybrid intelligent algorithms (opens in a new tab)
Frontiers in Environmental SciencePages: 165Frontiers
17
A survey on machine learning and internet of medical things-based approaches for handling COVID-19: Meta-analysis (opens in a new tab)
Frontiers in Public HealthVol. 10Pages: 869238Frontiers Media SA
18
When smart cities get smarter via machine learning: An in-depth literature review (opens in a new tab)
IEEE accessVol. 10Pages: 60985-61015IEEE
19
Circulatory System Based Optimization (CSBO): an expert multilevel biologically inspired meta-heuristic algorithm (opens in a new tab)
Engineering Applications of Computational Fluid MechanicsVol. 16, no. 1Pages: 1483-1525Taylor & Francis
20
APPLICATIONS OF THE THEORY OF DERIVATIVE IN DECISION SCIENCE AND EDUCATION
Journal of Management Information and Decision Sciences,Vol. 24, no. S1Pages: 1-20
21
The effectiveness of web-based audiovisual media applications in monitoring children's growth to prevent stunting (opens in a new tab)
Advances in Decision SciencesVol. 25, no. 3Pages: 1-11Asia University, Taiwan
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23
Simultaneous Adaptation of AHP and Fuzzy AHP to Evaluate Outsourcing Service in East and Southeast Asia
Journal of Testing and EvaluationVol. 48, no. 2Pages: 1594-1614ASTM International
24
An evaluation of project management tools and techniques in Vietnam (opens in a new tab)
Management Science LettersVol. 9, no. 2Pages: 283-300
25
26
Factors influencing intention to use of smartphone applications in Thailand (opens in a new tab)
2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)Pages: 1108-1112IEEE
27
Multiple criteria model study of outsourcing service countries in the East and Southeast Asia
International Journal of Supply Chain ManagementVol. 6, no. 3Pages: 63-70
28
When Smart Cities Get Smarter via Machine Learning: An In-Depth Literature Review (With Full Text)
Publication venue not supplied in the source workbook.Institute of Electrical and Electronics Engineers Inc.
Methods & expertise
Rigor for complex systems
AHP / Fuzzy AHP
Multi-criteria decision structures for expert evaluation and prioritization.
Structural equation modeling
Mediation and moderation analysis across large cross-country survey datasets.
Machine learning
Hybrid prediction frameworks for environmental, organizational, and market questions.
Independent recognition
Stanford/Elsevier World’s Top 2% Scientists list
Included in the World’s Top 2% Scientists, 2025 single-year ranking. The original certificate and independent profile are available below for verification.
