Tracing the Trajectory of Accounting Information Research for Managerial Decision-Making: A Bibliometric and Science Mapping Analysis
DOI:
https://doi.org/10.63541/p73q9b08Keywords:
Accounting Information, Bibliometric Analysis, Managerial Decision-Making, Science MappingAbstract
This study examines the dominant themes and emerging trajectories of accounting information for managerial decision-making using bibliometric analysis and science mapping. The data were retrieved from the Scopus database, which covers 626 publications published between 2010 and 2025. Biblioshiny and VOSviewer were used to map publication trends, author productivity, country contributions, leading journals, and keyword co-occurrence patterns. The findings show a marked increase in research output after 2022, reaching 93 publications by 2025. The United States and China were the leading contributing countries, whereas Pamucar D was the most prolific author. The most prominent publication outlets were Expert Systems with Applications, Journal of Cleaner Production, and IEEE Access. Keyword analysis reveals a growing convergence among decision support systems, artificial intelligence, and management accounting tools, indicating a shift toward data-driven and technology-enabled managerial decision-making. These findings provide a structured overview of the thematic evolution of the field and future research directions.
References
Alshboul, O., Shehadeh, A., Al-Kasasbeh, M., Mamlook, R. E. A., Halalsheh, N., & Alkasasbeh, M. (2021). Deep and Machine Learning Approaches for Forecasting the Residual Value of Heavy Construction Equipment: A management Decision Support Model. Engineering Construction & Architectural Management, 29(10), 4153–4176. https://doi.org/10.1108/ecam-08-2020-0614
Anggraini, W., Nawanir, G., & Wong, K. Y. (2021). Measuring the effects of different factors influencing on the readiness of smes towards digitalization: A multiple perspectives design of decision support system. Decision Science Letters, 10(3), 425–442. https://doi.org/10.5267/j.dsl.2021.1.002
Arkhipova, D., Montemari, M., Mio, C., & Marasca, S. (2024). Digital Technologies and the Evolution of the Management Accounting Profession: A Grounded Theory Literature Review. Meditari Accountancy Research, 32(7), 35–64. https://doi.org/10.1108/medar-07-2023-2097
Bennett, A. W., & Loose, S. M. (2024). User-Centered Development of an Online Dashboard Tool for Economic Sustainability for Small and Medium Enterprises. Sustainability, 16(2), 557. https://doi.org/10.3390/su16020557
Bui, H. Q., Hoai, T. T., Tran, H. A., & Nguyen, N. P. (2022). Performance Implications of the Interaction Between the Accountants’ Participation In strategic Decision-Making And accounting Capacity. Journal of Asian Business and Economic Studies, 30(1), 68–82. https://doi.org/10.1108/jabes-04-2022-0087
Cavicchi, C., Oppi, C., & Vagnoni, E. (2022). Mobilising Management Control Systems to Support Sustainability Strategy in SMEs: The Case of a Waste Disposal Firm. Meditari Accountancy Research, 31(4), 1015–1037. https://doi.org/10.1108/medar-07-2021-1382
Chalmeta, R., & Ferrer Estevez, M. (2023). Developing a business intelligence tool for sustainability management. Business Process Management Journal, 29(8), 188–209. https://doi.org/10.1108/BPMJ-03-2023-0232
Chan, E. W., & Thornock, T. A. (2022). Disaggregated Versus Holistic Performance Evaluations in a Promotion Setting. Journal of Management Accounting Research, 34(3), 77–97. https://doi.org/10.2308/jmar-2021-035
Cheng, X., Lyandres, E., Zhou, K., & Zhou, T. (2025). Labor-Replacing Automation and Finance. Management Science, 71(8), 6997–7028. https://doi.org/10.1287/mnsc.2022.02658
Choudhri, A. F., Siddiqui, A., Khan, N. R., & Cohen, H. L. (2015). Understanding bibliometric parameters and analysis. Radiographics, 35(3), 736–746. https://doi.org/10.1148/rg.2015140036
Dewi, I. S., Mashurin, A. H., Anidhea, N. O., Jauhariyah, M. N. R., Prahani, B. K., Safitri, N. S., & Mubarok, H. (2021). Bibliometric Analysis of Research Developments in the Field of Augmented Reality in Physics Education. Advances in Engineering Research, 209(Ijcse), 471–478.
Duan, S. X., Wibowo, S., & Chong, J. (2021). A Multicriteria Analysis Approach for Evaluating the Performance of Agriculture Decision Support Systems for Sustainable Agribusiness. Mathematics, 9(8), 884. https://doi.org/10.3390/math9080884
Francis, A., & Thomas, A. (2022). System Dynamics Modelling Coupled With Multi-Criteria Decision-Making (MCDM) for Sustainability-Related Policy Analysis and Decision-Making in the Built Environment. Smart and Sustainable Built Environment, 12(3), 534–564. https://doi.org/10.1108/sasbe-09-2021-0156
Franke, F., & Hiebl, M. R. W. (2023). Big data and decision quality: the role of management accountants’ data analytics skills. International Journal of Accounting and Information Management, 31(1), 93–127. https://doi.org/10.1108/IJAIM-12-2021-0246
Fu, H. (2021). Optimization Study of Multidimensional Big Data Matrix Model in Enterprise Performance Evaluation System. Wireless Communications and Mobile Computing, 2021(1). https://doi.org/10.1155/2021/4351944
Gama, M. da S. B., & Bonamigo, A. (2023). Sustainable Lean Manufacturing as Long-Term Strategy: Performance Framework Development and Prioritization. Journal of Strategy and Management, 17(2), 205–221. https://doi.org/10.1108/jsma-05-2023-0104
Grzybek, O., Maruszewska, E. W., & Tuszkiewicz, M. A. (2025). The past, present, and future of Accounting Information Systems research: A bibliometric analysis and thematic synthesis. Zeszyty Teoretyczne Rachunkowosci, 49(3), 67–84. https://doi.org/10.5604/01.3001.0055.2469
Gunawan, G., Adiyanti, S. A., Ramdana, A. D., Agustina, G., & Supriatna, D. (2026). Artificial Intelligence in Knowledge Management: Mapping a Decade of Research and Emerging Directions. CAKRAWALA : Management Science Journal, 2(3), 294–305. https://doi.org/10.63541/z157nq33
Harymawan, I., Anjum, H. F., Rasid, S. Z. A., & Moshiul, A. M. (2025). The Impact of Information Technology on The Management Accounting Profession. Quality - Access to Success, 26(207), 240–257. https://doi.org/10.47750/QAS/26.207.26
Hosseinizadeh Mazloumi, S. H., Moini, A., & Agha Mohammad Ali Kermani, M. (2023). Designing synchronizer module in CMMS software based on lean smart maintenance and process mining. Journal of Quality in Maintenance Engineering, 29(2), 509–529. https://doi.org/10.1108/JQME-10-2021-0077
Huang, R., & Wang, Z.-Z. (2025). Internal Control and Risk Management in Accounting Information System. International Journal of Information Systems in the Service Sector, 16(1), 1–17. https://doi.org/10.4018/ijisss.392475
Jaiswal, V., & Thaker, K. B. (2024). Studying Research in Balanced Scorecard Over the Years in Performance Management Systems: A Bibliometric Analysis. International Journal of Productivity and Performance Management, 73(8), 2558–2582. https://doi.org/10.1108/ijppm-08-2023-0416
Jia, T., Wang, C., Tian, Z., Bing-yin, W., & Tian, F. (2022). Design of Digital and Intelligent Financial Decision Support System Based on Artificial Intelligence. Computational Intelligence and Neuroscience, 2022, 1–7. https://doi.org/10.1155/2022/1962937
Khan, A., Goodell, J. W., Hassan, M. K., & Paltrinieri, A. (2022). A bibliometric review of finance bibliometric papers. Finance Research Letters, 47(PA), 102520. https://doi.org/10.1016/j.frl.2021.102520
Livera, A., Theristis, M., Micheli, L., Férnández, E. F., Stein, J. S., & Georghiou, G. E. (2022). Operation and Maintenance Decision Support System for Photovoltaic Systems. Ieee Access, 10, 42481–42496. https://doi.org/10.1109/access.2022.3168140
Ma, L., Chen, X., Zhou, J., & Aldieri, L. (2022). Strategic Management Accounting in Small and Medium-Sized Enterprises in Emerging Countries and Markets: A Case Study From China. Economies, 10(4), 74. https://doi.org/10.3390/economies10040074
Shao, F., Shao, H., Wu, X., Cheng, Q., & Lam, W. H. K. (2025). A physics-informed machine learning framework for speed-flow prediction: Integrating an S-shaped traffic stream model with deep learning models. Transportation Research Part C: Emerging Technologies, 180. https://doi.org/10.1016/j.trc.2025.105362
Sinaga, A., & Maulana, D. (2022). Implementation of Weighted Product Method for Evaluating Performance of Technicians. International Journal of Modern Education and Computer Science, 14(4), 30–42. https://doi.org/10.5815/ijmecs.2022.04.03
Swalih, M. M., Ram, R., & Tew, E. (2024). Environmental Management Accounting for Strategic Decision‐making: A Systematic Literature Review. Business Strategy and the Environment, 33(7), 6335–6367. https://doi.org/10.1002/bse.3828
van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
Zhang, Z., Jin, G., Hu, Y., He, N., & Niu, J. (2022). Performance Management of Natural Resources: A Systematic Review and Conceptual Framework for China. Water, 14(20), 3338. https://doi.org/10.3390/w14203338
Zhou, T. (2024). Construction of Strategic Management Accounting Decision Model Supported by Deep Learning Technology. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-3277
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Copyright (c) 2026 Mirna Triana, Rima Rachmawati, Herry Achmad Buchory, Andry Arifian Rachman, Rita Yuniarti (Author)

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