| Year | Citation |
|---|---|
| 2024 | Hein, K., Burleigh, T. L., Gorman, A., Prokofieva, M., & Stavropoulos, V. (241201). Proteus effect avatar profiles: Associations with disordered gaming and activity levels. Addictive Behaviors Reports, 20 |
| 2024 |
Alhazmi, A. HJ., Islam, S., & Prokofieva, M. (240901). The Impact of Changing External Auditors, Auditor Tenure, and Audit Firm Type on the Quality of Financial Reports on the Saudi Stock Exchange. Journal of Risk and Financial Management, 17(9), doi: 10.3390/jrfm17090407 |
| 2024 |
Nagano, H., Prokofieva, M., Asogwa, C. O., Sarashina, E., & Begg, R. (240801). A Machine Learning Model for Predicting Critical Minimum Foot Clearance (MFC) Heights. Applied Sciences (Switzerland), 14(15), doi: 10.3390/app14156705 |
| 2024 | Dowd, B., Hein, K., Diez, S. L., Prokofieva, M., Kannis-Dymand, L., & Stavropoulos, V. (240201). Cross-Addiction Risk Profile Associations with COVID-19 Anxiety: a Preliminary Exploratory Study. International Journal of Mental Health and Addiction, 22(1), (106-129). |
| 2024 | Alharasis, E. E., Prokofieva, M., Clark, C., Haddad, H., & Alramahi, N. (240101). The development of international accounting and auditing standards for fair value accounting in the Arab Middle East, Jordan: a systematic review. Cogent Business and Management, 11(1), |
| 2024 | Vysotskaya, A., & Prokofieva, M. (240101). Management accounting and data analytics: technology acceptance from the educational perspective. Accounting Education, |
| 2023 | Stavropoulos, V., Zarate, D., Prokofieva, M., van, de., Karimi, L., Alesi, A. G., Richards, M., Bennet, S., & Griffiths, M. D. (231222). Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning. Journal of Behavioral Addictions, 12(4), (878-894). |
| 2023 | Zarate, D., Ball, M., Prokofieva, M., Kostakos, V., & Stavropoulos, V. (231201). Identifying self-disclosed anxiety on Twitter: A natural language processing approach. Psychiatry Research, 330 |
Key details
Areas of expertise
- Data analytics for business applications
- Social media analytics
- Machine learning and AI
Available to supervise research students
Available for media queries
About Maria Prokofieva
Dr Maria Prokofieva is a senior lecturer at Victoria University Business School. She has also held academic positions at La Trobe University and Monash University, Australia.
She has a Bachelor in IT and Graduate Certificate in Accounting and her PhD is in the area of Business Information Systems (Russia).
With background in IT and Business. Maria is a quantitative researcher. Her areas of interest are:
- data analytics
- social media analytics
- business intelligence and machine learning.
She is also interested in investigating in business application of data analytics and machine learning/AI.
Her outstanding work has appeared in top-tier outlets of the field, such as:
- Journal of the Association for Information Systems
- Journal of Information Systems
- Australasian Journal of Educational Technology
- Issues in Accounting Education.
Maria is passionate about using R/Python in academic research and everyday life.
She is a member of:
- Women Who Code
- R Ladies Melbourne
- Melbourne Users of R Network (MelbURN)
- Melbourne Women in Machine Learning
- Data Science and Data Science Melbourne.
She is also a Women in Data Science (WiDS) Ambassador.
Qualifications
- Bachelor (IT), Russia
- Bachelor (Education), Russia
- Master (IT), Russia
- PhD (IS/Business), Russia
- GradCert (Accounting), La Trobe, Australia
Key publications
Book chapter (showing 2)
| Year | Citation |
|---|---|
| 2024 | Prokofieva, M. (241009). COLLABORATIVE ARRANGEMENTS IN DEVELOPING SUCCESSFUL BUSINESS STRATEGIES: LITERATURE REVIEW (pp. 229-252). |
| 2024 | Prokofieva, M. (241009). Collaborative arrangements in developing successful business strategies: literature review In Pratap, Singh. (Ed.) (pp. na-na). na: Emerald Publishing Limited. |
Journal article (showing 8 of 35)
Research funding for the past 5 years
Please note:
- Funding is ordered by the year the project commenced and may continue over several years.
- Funding amounts for contact research are not disclosed to maintain commercial confidentiality.
- The order of investigators is not indicative of the role they played in the research project.
2022
|
Impact of student cultural background on NAPLAN performance
From: Melbourne Archdiocese Catholic Schools Ltd
Other investigators: Dr Shuyan Huo, Mr Andrew Wade, Dr Melissa Tham
For period: 2022-2023
|
Not disclosed |
2020
|
Data Analytics in External Auditing
From: CPA Australia
For period: 2020-2020
|
$54,545 |
Supervision of research students at VU
Available to supervise research students
Available for media queries
Currently supervised research students at VU
| No. of students | Study level | Role |
|---|---|---|
| 1 | PhD Integrated | Principal supervisor |
| 2 | PhD Integrated | Associate supervisor |
| 1 | Master of Research | Associate supervisor |
Currently supervised research students at VU
| Students & level | Role |
|---|---|
| PhD Integrated (1) | Principal supervisor |
| PhD Integrated (2) | Associate supervisor |
| Master of Research (1) | Associate supervisor |
Completed supervision of research students at VU
| No. of students | Study level | Role |
|---|---|---|
| 3 | PhD | Associate supervisor |
| 2 | Doctor of Business Administration | Associate supervisor |
| 1 | PhD Integrated | Associate supervisor |
Completed supervision of research students at VU
| Students & level | Role |
|---|---|
| PhD (3) | Associate supervisor |
| Doctor of Business Administration (2) | Associate supervisor |
| PhD Integrated (1) | Associate supervisor |
Careers
Details of this Researcher's career are currently unavailable.
