Assoc. Prof. Dr. Mahadi Bahari

Assoc. Prof. Dr. Mahadi Bahari is an Associate Professor of Information Systems at the Faculty of Management, Universiti Teknologi Malaysia (UTM), where he has served since 1997 and currently holds the role of Deputy Dean of Research, Innovation and Development (TDPIP). He earned his Bachelor’s (1997) and Master’s (2000) degrees in Computer Science from UTM, followed by a Ph.D. in Information Systems from Brunel University London in 2013, where his research focused on the implementation of Citizen Relationship Management in Malaysian local government. His research interests span IS/IT adoption and implementation, IS healthcare and healthcare informatics, business analytics, digital transformation, AI Governance, and Smart Tourism. Dr. Mahadi has published more than 70 indexed articles in reputable journals and conferences across information systems, business management, computer science, and social sciences, with his work presented internationally in Asia, Europe, and South America. He has authored two research monographs on telerehabilitation and four books on database systems, including the award-winning A Structural Model of Healthcare Personnel Readiness for Telerehabilitation, which received the Buku Karya Ilmiah Terbaik 2021 from USIM Press. A dedicated academic mentor, he has supervised and graduated numerous Ph.D. and Master’s students and has been recognized with multiple local and international awards for his research and consultancy contributions. He also holds a Tableau Desktop certification and actively conducts capacity-building workshops on literature reviews, grant writing, and publication development.

Indexed-Articles (Scopus & Web of Science)

1) Arpaci, I., & Bahari, M. (2024). Investigating the role of psychological needs in predicting the educational sustainability of Metaverse using a deep learning-based hybrid SEM-ANN technique. Interactive Learning Environments, 32(6), 2957–2969. [https://doi.org/10.1080/10494820.2022.2164313]

2) Bahari, M., Arpaci, I., Der, O., Akkoyun, F., & Ercetin, A. (2024). Driving agricultural transformation: Unraveling key factors shaping IoT adoption in smart farming with empirical insights. Sustainability, 16(5), 2129. [https://doi.org/10.3390/su16052129]

3) Arpaci, I., & Bahari, M. (2023). A complementary SEM and deep ANN approach to predict the adoption of cryptocurrencies. Computers in Human Behavior, 143, 107678. [https://doi.org/10.1016/j.chb.2023.107678]

4) Bahari, M., Arpaci, I., Azmi, N. F. M., & Shuib, L. (2023). Predicting the intention to use learning analytics for academic advising. Sustainability, 15(21), 15190. [https://doi.org/10.3390/su152115190]

5) Ismail, W., Niknejad, N., Bahari, M., Hendradi, R., Zaizi, N. J. M., & Zulkifli, M. Z. (2023). Water treatment and artificial intelligence techniques: a systematic literature review research. Environmental Science and Pollution Research, 30(28), 71794–71812. [https://doi.org/10.1007/s11356-021-16471-0]

6) Niknejad, N., Ismail, W., Bahari, M., Hendradi, R., & Salleh, A. Z. (2021). Mapping the research trends on blockchain technology in food and agriculture industry: A bibliometric analysis. Environmental Technology & Innovation, 21, 101272. [https://doi.org/10.1016/j.eti.2020.101272]

7) Niknejad, N., Ismail, W., Bahari, M., & Nazari, B. (2021). Understanding telerehabilitation technology to evaluate stakeholders’ adoption of telerehabilitation services: A systematic literature review and directions for further research. Archives of Physical Medicine and Rehabilitation, 102(7), 1390–1403. https://doi.org/10.1016/j.apmr.2020.12.014

8) Jalal, A. N., Bahari, M., & Tarofder, A. K. (2021). Transforming traditional CRM into social CRM: An empirical investigation in Iraqi healthcare industry. Heliyon, 7(5), e06913. https://doi.org/10.1016/j.heliyon.2021.e06913

9) Niknejad, N., Ismail, W., Ghani, I., Nazari, B., Bahari, M., & Che Hussin, A. R. B. (2020). Understanding Service-Oriented Architecture (SOA): A systematic literature review and directions for further investigation. Information Systems, 91, 101491. [https://doi.org/10.1016/j.is.2020.101491]

10) Jafni, T. I., Bahari, M., Ismail, W., & Radman, A. (2017). Understanding the implementation of telerehabilitation at pre-implementation stage: A systematic literature review. Procedia Computer Science, 124, 452–460. https://doi.org/10.1016/j.procs.2017.12.177

Book Chapters

1) Putra, A., Bahari, M., Miskon, S., & Samsuryadi. (2023). Derivation sustainable model of e-government application usage in Indonesian local government. In F. Saeed, F. Mohammed, E. Mohammed, T. Al-Hadhrami, & M. Al-Sarem (Eds.), Advances on intelligent computing and data science. ICACIn 2022. Lecture Notes on Data Engineering and Communications Technologies (Vol. 179). Springer, Cham. [https://doi.org/10.1007/978-3-031-36258-3_59]

2) Ahmadu, B., Hussin, A. R. C., & Bahari, M. (2021). Development and validation of a classified information assurance scale for institutions of higher learning. In F. Saeed, F. Mohammed, & A. Al-Nahari (Eds.), Innovative systems for intelligent health informatics. IRICT 2020. Lecture Notes on Data Engineering and Communications Technologies (Vol. 72). Springer, Cham. [https://doi.org/10.1007/978-3-030-70713-2_77]

3) Salleh, M. A., Bahari, M., & Ismail, W. (2020). Exploring the software quality criteria and sustainable development targets: A case study of digital library in Malaysian higher learning institution. In F. Saeed, F. Mohammed, & N. Gazem (Eds.), Emerging trends in intelligent computing and informatics. IRICT 2019. Advances in Intelligent Systems and Computing (Vol. 1073, pp. 1076–1086). Springer, Cham. ISBN: 978-303033581-6

4) Jafni, T. I., Bahari, M., Ismail, W., & Hanafi, M. H. (2019). Exploring barriers that affect telerehabilitation readiness: A case study of a rehabilitation centre in Malaysia. In F. Saeed, N. Gazem, F. Mohammed, & A. Busalim (Eds.), Recent trends in data science and soft computing. IRICT 2018. Advances in Intelligent Systems and Computing (Vol. 843, pp. 761–771). Springer, Cham. ISBN: 978-331999006-4

5) Bahari, M., Jafni, T. I., Ismail, W., Hashim, H., & Hussain, H. (2019). Analysis of the readiness for healthcare personnel adopting telerehabilitation: An interpretive structural modelling (ISM) approach. In M. Themisto-cleous & R. da Cunha P. (Eds.), Information systems. EMCIS 2018. Lecture Notes in Business Information Processing (Vol. 341, pp. 353–368). Springer, Cham. ISBN: 978-303011394-0

Books

1) Che Lah, N. S., Che Hussin, A. R., Mohamed Dahlan, H., & Bahari, M. (2024). Artificial intelligence: A beginner’s guide to concepts, applications and ethics. UTM Press

2) Mahadi Bahari, Waidah Ismail, Tiara Izrinda Jafni (2020), ” A structural Model of Healthcare Personnel Readiness for Telerehabilitation”, USIM Press, ISBN 9-789674-407001

3) Waidah Ismail, Mahadi Bahari, Sapora Sipon, Norasikin Fabil, Dina Imam Supaat (2020), “Intelligent Rehabilitation Volume 2”, USIM Press, ISBN 9-789674-408671

4) Md Hafiz Selamat, Mahadi Bahari, Habsah Abdullah, Suraya Miskon, Zeti Darlena Eri, Ab Razak Che Hussin (2000) “Introduction to Database: Theory and Practice”, Asia Customise Edition, Mc Graw-Hill, ISBN: 983- 9340-12-3

5) Ab Razak Che Hussin, Halina M. Dahlan, Md. Hafiz Selamat, Mahadi Bahari (2010) “Control & Audit in Information Systems”, UTM Press, ISBN: 978-983-52-0732-7

6) Halina M. Dahlan, Ab Razak Che Hussin, Md Hafiz Selamat, M. Shahizan Othman, Nor Hawaniah Zakaria, Roliana Ibrahim, Mahadi Bahari (2011) “Database Systems”, UTM Press, ISBN 978-983-52-0778

Research Interest

IS/IT adoption and implementation, IS healthcare and healthcare informatics, business analytics, digital transformation, case study method

Number of PhD supervisees

Availability of Supervision

Yes

Research Title Available for Supervision

1) Sentiment Analysis for Predicting Tourist Behaviour and Destination Choice in the Digital Era;
2) Using Social Media Sentiment Analytics to Assess Tourism Destination Competitiveness;
3) AI-Driven Sentiment Analysis as a Tool for Enhancing Tourist Satisfaction and Service Improvement;
4) An Integrated Sentiment–Behaviour Framework for Predicting Tourist Loyalty and Revisit Intentions;
5) Impact of Influencer-Generated Content on Tourist Sentiments and Destination Branding;
6) Government Agencies’ Readiness to Adopt AI Technology for Enhancing Public Service Delivery;
7) Digital Transformation in Public Services: A Study on the Effectiveness of Government e-Service Delivery;
8) Effectiveness of National Digital Policy Implementation in Government Agencies: A Governance and Leadership Perspective