Evaluation of mobile applications for personal finance management using the MARS scale
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Evaluation of mobile applications for personal finance management using the MARS scale
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Main Article Content
Authors
Abstract
This study evaluates personal finance management apps using the Mobile App Rating Scale. Four apps were analyzed: Wallet and Money Manager from App Store, Money Tracker and My Budget Book Pro from Google Play. Each was evaluated for engagement, functionality, aesthetics, information quality, subjective evaluation and specific features. Results showed the highest ratings for visual aspects and lower scores for functionality. Money Manager received the highest overall rating, particularly in functionality and subjective evaluation. In contrast, My Budget Book Pro achieved the weakest results, especially in information quality and application specificity. The study highlights areas for improvement and serves as a guide for consumers in selecting solutions for financial management.
Keywords:
Sustainable Development Goal (SDG)
- Industry, Innovation, Technology and Infrastructure
References
[1] B. Klug, An Overview of the Mobile App Rating Scale (MARS) in Health Care Application Assessment, Journal of Hospital Librarianship 24(1) (2023) 70–79, https://doi.org/10.1080/15323269.2023.2289804.
[2] S. R. Stoyanov, L. Hides, D. J. Kavanagh, O. Zelenko, D. Tjondronegoro, M. Mani, Mobile App Rating Scale: A New Tool for Assessing the Quality of Health Mobile Apps, JMIR Mhealth Uhealth 3(1) (2015) e27, https://doi.org/10.2196/mhealth.3422.
[3] S. R. Stoyanov, L. Hides, D. J. Kavanagh, H. Wilson, Development and Validation of the User Version of the Mobile Application Rating Scale (uMARS), JMIR Mhealth Uhealth 4(2) (2016) e72, https://doi.org/10.2196/mhealth.5849.
[4] Y. Terhorst, P. Philippi, L. B. Sander, D. Schultchen, S. Paganini, M. Bardus, K. Santo, J. Knitza, G. C. Machado, S. Schoeppe, N. Bauereiß, A. Portenhauser, M. Domhardt, B. Walter, M. Krusche, H. Baumeister, E.-M. Messner, Validation of the Mobile Application Rating Scale (MARS), PLOS ONE 15(11) (2020) e0241480, https://doi.org/10.1371/journal.pone.0241480.
[5] A. E. Roberts, T. A. Davenport, T. Wong, H.-W. Moon, I. B. Hickie, H. M. LaMonica, Evaluating the quality and safety of health-related apps and e-tools: Adapting the Mobile App Rating Scale and developing a quality assurance protocol, Internet Interventions 24 (2021) 100379, https://doi.org/10.1016/j.invent.2021.100379.
[6] A. Escriche-Escuder, I. De-Torres, C. Roldán-Jiménez, J. Martín-Martín, A. Muro-Culebras, M. González-Sánchez, M. Ruiz-Muñoz, F. Mayoral-Cleries, A. Biró, W. Tang, B. Nikolova, A. Salvatore, A. I. Cuesta-Vargas, Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS), International Journal of Environmental Research and Public Health 17(24) (2020) 9209, https://doi.org/10.3390/ijerph17249209.
[7] A. Salazar, H. de Sola, I. Failde, J. Moral-Munoz, Measuring the Quality of Mobile Apps for the Management of Pain: Systematic Search and Evaluation Using the Mobile App Rating Scale, JMIR Mhealth Uhealth 6(10) (2018) e10718, https://doi.org/10.2196/10718.
[8] L. Geng, G. Jiang, L. Yu, Y. Xu, W. Huang, Z. Chen, X. Qi, T. Zhang, M. Zhao, The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques, JMIR Mhealth Uhealth 11 (2023) e50226, https://doi.org/10.2196/50226.
[9] K. Lewartowski, M. Miłosz, Review and assessment of the quality of applications related to diet man-agement using the Mobile App Rating Scale (MARS), Journal of Computer Sciences Institute 36 (2025) 262–265, https://doi.org/10.35784/jcsi.7312.
[10] N. Jannati, S. Salehinejad, M. E. Kuenzig, J. N. Peña-Sánchez, Review and content analysis of mobile apps for inflammatory bowel disease management using the mobile application rating scale (MARS): Systematic search in app stores, International Journal of Medical Informatics 180 (2023) 105249, https://doi.org/10.1016/j.ijmedinf.2023.105249.
[11] A. Raeesi, R. Khajouei, L. Ahmadian, Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale. BMC Med Inform Decis Mak 22 (2022) 281, https://doi.org/10.1186/s12911-022-02029-8.
[12] M. Safeer V S, P. Gupta, S. Behl, D. Bansal, J. K. Sahu, Mobile health applications for epilepsy in Indian app stores: A systematic review and content analysis using the mobile app rating scale, Epilepsy Research 201 (2024) 107331, https://doi.org/10.1016/j.eplepsyres.2024.107331.
[13] Z. Arabkermani, S. Barzegari, A. Rouhani, N. Nahavandi, O. Gibreel, I. Arpaci, Mobile Apps Designed for Patients With Polycystic Ovary Syndrome: Content Analysis Using the Mobile App Rating Scale, Journal of Medical Internet Research 27 (2025) e71118, https://doi.org/10.2196/71118.
[14] H. J. Lee, S. H. Seong, H. Chung, Y. J. Lee, J.-H. Kim, Systematic Search and Qualitative Evaluation of Dietary Supplement Mobile Applications: Using the Mobile Application Rating Scale (MARS), Korean Journal of Clinical Pharmacy 33(1) (2023) 51–61, https://doi.org/10.24304/kjcp.2023.33.1.51.
[15] A. Olszar, E. Książek, K. Konikowska, Mobile Apps for Allergies: A Systematic Review and Quality Assessment Using the Mobile Application Rating Scale (MARS), Engineering Sciences and Technologies 40 (2024) 86–97, https://doi.org/10.15611/nit.2024.40.08.
[16] L. Scala, G. Giglioni, L. Bertazzoni, F. Bonetti, The Efficacy of the Smartphone App for the Self-Management of Low Back Pain: A Systematic Review and Assessment of Their Quality through the Mobile Application Rating Scale (MARS) in Italy, Life 14(6) (2024) 760, https://doi.org/10.3390/life14060760.
[17] A. Roy, P. P. Nayak, P. R. Shenoy, K. Somayaji, Availability and Content Analysis of Smartphone Applications on Conservative Dentistry and Endodontics Using Mobile Application Rating Scale (MARS), Current Oral Health Reports 9 (2022) 215–225, https://doi.org/10.1007/s40496-022-00325-w.
[18] B. Kim, A. Sharafoddini, N. Tran, E. Wen, J. Lee, Consumer Mobile Apps for Potential Drug-Drug Interaction Check: Systematic Review and Content Analysis Using the Mobile App Rating Scale (MARS), JMIR Mhealth Uhealth 6(3) (2018) e74, https://doi.org/10.2196/mhealth.8613.
[19] M. Alenazi, C. Sas, Evaluating Budgeting Apps: Limited Support for Budgeting Compared to Tracking, In 36th International BCS Human-Computer Interaction Conference (2023) 1–12, https://doi.org/10.14236/ewic/BCSHCI2023.1.
[20] A. Wahab, T. M. Alam, M. M. Raza, Usability Evaluation of FinTech Mobile Applications: A Statistical Approach, In 2021 International Conference on Innovative Computing (ICIC) (2021) 1–10, https://doi.org/10.1109/ICIC53490.2021.9691512.
[21] N. Chhillar, S. Arora, Personal Financial Management Behavior Using Digital Platforms And Its Domains, Journal of Financial Management, Markets and Institutions 10(2) (2022) 2250009, https://doi.org/10.1142/S2282717X22500098.
[22] D. French, D. McKillop, E. Stewart, Personal finance apps and low-income households, Strategic Change 30(4) (2021) 367–375, https://doi.org/10.1002/jsc.2430.
[23] M. Mijić, B. Ćebić, Mobile Applications for Personal Finance Management: Technology Acceptance Perspective, In: S. Benković, A. Labus, M. Milosavljević, (eds) Digital Transformation of the Financial Industry. Springer (2023) 273–295, https://doi.org/10.1007/978-3-031-23269-5_16.
[24] P. Bitrián, I. Buil, S. Catalán, Making finance fun: the gamification of personal financial management apps, International Journal of Bank Marketing 39(7) (2021) 1310–1332, https://doi.org/10.1108/IJBM-02-2021-0074.
[25] K. Waliszewski, A. Warchlewska, How we can benefit from personal finance management applications during the COVID-19 pandemic? The Polish case, Entrepreneurship and Sustainability Issues 8(3) (2021) 681–699, https://doi.org/10.9770/jesi.2021.8.3(42).
[26] J. Huebner, C. Schmid, M. Bouguerra, A. Ilic, FinMARS: A Mobile App Rating Scale for Finance Apps, In 9th International Conference on Information Communication and Management (ICICM '19) (2019) 6–11, https://doi.org/10.1145/3357419.3357428.
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