| Year | Citation |
|---|---|
| 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 |
| 2023 | Prokofieva, M., Zarate, D., Parker, A., Palikara, O., & Stavropoulos, V. (231201). Exploratory structural equation modeling: a streamlined step by step approach using the R Project software. BMC Psychiatry, 23(1), |
| 2023 | Zarate, D., Fullwood, L., Prokofieva, M., Griffiths, M. D., & Stavropoulos, V. (231201). Problematic Shopping Behavior: An Item Response Theory Examination of the Seven-Item Bergen Shopping Addiction Scale. International Journal of Mental Health and Addiction, 21(6), (4108-4126). |
| 2023 | Gomez, R., Brown, T., Gill, P., Prokofieva, M., & Stavropoulos, V. (231201). Using Online Gambling Disorder Questionnaire (OGD-Q) with Adults: Factor Structure, Reliability, External Validity, and Measurement Invariance Across Age and Gender. International Journal of Mental Health and Addiction, 21(6), (3910-3926). |
| 2023 | Prokofieva, M. (230601). Integrating data analytics in teaching audit with machine learning and artificial intelligence. Education and Information Technologies, 28(6), (7317-7353). |
| 2023 | Alharasis, E. E., Prokofieva, M., & Clark, C. (230320). The moderating impact of auditor industry specialisation on the relationship between fair value disclosure and audit fees: empirical evidence from Jordan. Asian Review of Accounting, 31(2), (227-255). |
| 2023 | Stavropoulos, V., Zarate, D., Prokofieva, M., van, de., Karimi, L., Alesi, A. G., Richards, M., Bennet, S., & Griffiths, M. D. (230101). Deep learning(s) in gaming disorder through the user-avatar bond: A longitudinal study using machine learning. Journal of Behavioral Addictions, |
| 2023 | Zarate, D., Tran, T. TD., Rehm, I., Prokofieva, M., & Stavropoulos, V. (230101). Measuring problematic sexual behaviour: an item response theory examination of the Bergen-Yale sex addiction scale. Clinical Psychologist, 27(3), (328-342). |
| 2023 |
Zarate, D., Dorman, G., Prokofieva, M., Morda, R., & Stavropoulos, V. (230101). Online Behavioral Addictions: Longitudinal Network Analysis and Invariance Across Men and Women. Technology, Mind, and Behavior, 4(1), doi: 10.1037/tmb0000105 |
| 2022 | Ghahramani, A., de, Courten., & Prokofieva, M. (221201). The potential of social media in health promotion beyond creating awareness: an integrative review . BMC Public Health, 22(1), |
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
Journal article (showing 10 of 29)
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 |
|---|---|---|
| 2 | 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 (2) | 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.
