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2025 | 49(3) | 67-84

Article title

The past, present, and future of Accounting Information Systems research: A bibliometric analysis and thematic synthesis

Content

Title variants

PL
Przeszłość, teraźniejszość i przyszłość badań z zakresu systemów informacyjnych rachunkowości: analiza bibliometryczna i synteza tematyczna

Languages of publication

EN

Abstracts

EN
Purpose: The paper aims to advance the positioning of Accounting Information Systems (AIS) within the established scholarly discourse on Information Systems (IS) and examine how AIS research has explored accounting problems, highlighting past and present challenges, as well as future opportunities. Methodology/approach: Bibliometric analysis and a thematic synthesis were used. Findings: The bibliometric comparison between AIS research and the broader IS literature reveals a delayed increase in AIS publications, likely due to the time needed for IS applications to be applied in accounting. AIS constitutes only 1.34% of IS articles, covering financial reporting, management accounting, and auditing. Initially, AIS research focused on management accounting, while it later began to focus on new technologies like AI, blockchain, and ERP systems. Over time, studies shifted from general system implementation to specific applications. Among 96 AIS articles, 45 were empirical, 30 were theoretical, and 21 were literature reviews, focusing on frameworks, case studies, and user interactions with AIS. There is a noticeable division of journals accepting AIS research and a growth of AIS publications over the analyzed years, showing its distinction from general IS research. Research limitations/implications: A limitation of the study is the scope restrictions made during the literature selection based on the SSCI from the WoS database. Originality/value: Our research contributes to the literature by positioning AIS as a subset of IS research and showing its differences and limitations compared to mainstream IS research. It indicates future AIS research directions, such as further exploring new technologies in AIS, especially within tax accounting, and factors that influence AIS system success, including behavioral ones.
PL
Cel: Celem artykułu jest umiejscowienie badań z zakresu systemów informatycznych rachunkowości (SIR) w szerszej literaturze poświęconej systemom informacyjnym (SI) oraz przedstawienie ewolucji badań w obszarze SIR z punktu widzenia problemów podnoszonych w rachunkowości, dla podkreślenia przeszłych i obecnych wyzwań, a także przyszłych możliwości. Metodologia/podejście badawcze: Zastosowano analizę bibliometryczną i syntezę tematyczną. Wyniki: Analiza bibliometryczna literatury SIR w porównaniu z literaturą IS ujawnia opóźniony wzrost liczby publikacji SIR, prawdopodobnie ze względu na czas potrzebny na aplikację SI w rachunkowości. Publikacje SIR stanowią tylko 1,34% artykułów SI i obejmują takie tematy jak sprawozdawczość finansowa, rachunkowość zarządcza i audyt. Początkowo badania SIR koncentrowały się na rachunkowości zarządczej, później skupiając się na nowych technologiach, takich jak AI, blockchain i systemy ERP. Z czasem badania przesunęły się z ogólnej implementacji systemu informatycznego na konkretne zastosowania. Spośród 96 artykułów SIR, 45 artykułów miało charakter empiryczny, 30 teoretyczny, 21 to przeglądy literatury, co odzwierciedla skupienie się na ramach teoretycznych, studiach przypadków i interakcjach użytkowników z AIS. Istnieje zauważalny podział czasopism akceptujących badania SIR i wzrost publikacji SIR w analizowanych latach, co pokazuje ich odmienność od ogólnych badań SI. Ograniczenia/implikacje badawcze: Ograniczeniem badania są założenia czynione przy doborze publikacji opartym na indeksie SSCI bazy WoS. Oryginalność/wartość: Nasze badania stanowią wkład do literatury poprzez pozycjonowanie badań SIR jako podzbioru badań SI i pokazanie ich różnic i ograniczeń w porównaniu z głównymi badaniami SI. W artykule wskazano przyszłe kierunki badań SIR, takie jak dalsza eksploracja stosowania nowych technologii w SIR, zwłaszcza w zakresie rachunkowości podatkowej i czynników wpływających na sukces systemu SIR, w tym czynników behawioralnych.

Year

Issue

Pages

67-84

Physical description

Contributors

author
  • University of Economics in Katowice, Faculty of Finance, Department of Business Informatics and International Accounting
  • University of Economics in Katowice, Faculty of Finance, Department of Business Informatics and International Accounting
  • University of Economics in Katowice, Faculty of Finance, Department of Business Informatics and International Accounting

References

  • Alamin A.A., Wilkin C.L., Yeoh W., Warren M. (2020), The Impact of Self-Efficacy on Accountants’ Behavioral Intention to Adopt and Use Accounting Information Systems, “Journal of Information Systems”, 34 (3), pp. 31–46; https://doi.org/10.2308/isys-52617.
  • Alavi M., Leidner D.E. (2001), Review: knowledge management and knowledge management systems: conceptual foundations and research issues, “MIS Quarterly”, 25 (1), pp. 107–136.
  • Anderson S.W., Lanen W.N. (2002), Using electronic data interchange (EDI) to improve the efficiency of accounting transactions, “Accounting Review”, 77, pp. 703–729; https://doi.org/10.2308/accr.2002.77.4.703.
  • Aria M., Cuccurullo C. (2017), Bibliometrix: An R-tool for comprehensive science mapping analysis, “Journal of Informetrics”, 11 (4), pp. 959–975; https://doi.org/10.1016/ J.JOI.2017.08.007.
  • Aria M., Misuraca M., Spano M. (2020), Mapping the Evolution of Social Research and Data Science on 30 Years of Social Indicators Research, “Social Indicators Research”, 149 (3), pp. 803–831; https://doi.org/10.1007/S11205-020-02281-3/FIGURES/10.
  • Arnold V., Collier P.A., Leech S.A., Rose J.M., Sutton S.G. (2023), Can knowledge-based systems be designed to counteract deskilling effects? “International Journal of Accounting Information Systems”, 50 (C), pp. 1–56; http://dx.doi.org/10.2139/ssrn.4423869.
  • Asatiani A., Apte U., Penttinen E., Rönkkö M., Saarinen T. (2019), Impact of accounting process characteristics on accounting outsourcing – Comparison of users and non-users of cloud-based accounting information systems, “International Journal of Accounting Information Systems”, 34, 100419; https://doi.org/10.1016/j.accinf.2019.06.002.
  • Banker R.D., Li X.R., Maex S.A., Shi W.Y. (2020), The Audit Implications of Cloud Computing, “Accounting Horizons”, 34 (4), pp. 1–31; https://doi.org/10.2308/HORIZONS-19-166.
  • Bell T.B., Knechel W.R., Payne J.L., Willingham J.J. (1998), An empirical investigation of the relationship between the computerization of accounting systems and the incidence and size of audit differences, “Auditing”, 17 (1), pp. 37–38.
  • Bhattacherjee A. (2001), Understanding Information Systems Continuance: An Expectation-Confirmation Model, “MIS Quarterly”, 25 (3), pp. 351–370; https://doi.org/10.2307/3250921.
  • Bhimani A., Willcocks L. (2014), Digitisation, ‘Big Data’ and the transformation of accounting information, “Accounting and Business Research”, 44 (4), pp. 469–490; https://doi.org/10.1080/00014788.2014.910051.
  • Birkle C., Pendlebury D. A., Schnell J., Adams J. (2020), Web of Science as a data source for research on scientific and scholarly activity, “Quantitative Science Studies”, 1 (1), pp. 363–376; https://doi.org/10.1162/QSS_A_00018.
  • Chiu V., Liu Q., Muehlmann B., Baldwin A.A. (2019), A bibliometric analysis of accounting information systems journals and their emerging technologies contributions, “International Journal of Accounting Information Systems”, 32, pp. 24–43; https://doi.org/10.1016/j.accinf.2018.11.003.
  • Choe J. M. (2002), The organisational learning effects of management accounting information under advanced manufacturing technology, “European Journal of Information Systems”, 11 (2), pp. 142–158; https://doi.org/10.1057/palgrave.ejis.3000424.
  • Cockcroft S., Russell M. (2018), Big Data Opportunities for Accounting and Finance Practice and Research, “Australian Accounting Review”, 28, pp. 323–333; https://doi.org/10.1111/auar.12218.
  • Davis F.D. (1989), Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, “MIS Quarterly”, 13 (3), pp. 319–340; https://doi.org/10.2307/249008.
  • Davis F.D., Bagozzi R.P., Warshaw P.R. (1989), User Acceptance of Computer Technology: A Comparison of Two Theoretical Models, “Management Science”, 35 (8), pp. 982–1003; https://doi.org/10.1287/mnsc.35.8.982.
  • DeLone W.H., McLean E.R. (2003), The DeLone and McLean Model of Information Systems Success: A Ten-Year Update, “Journal of Management Information Systems”, 19 (4), pp. 9–30; https://doi.org/10.1080/07421222.2003.11045748.
  • DeSanctis G., Poole M.S. (1994), Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory, “Organization Science”, 5 (2), pp. 121–147; https://doi.org/10.1287/orsc.5.2.121.
  • Dobroszek J., Zarzycka E., Almasan A., Circa C. (2019), Managers’ perception of the management accounting information system in transition countries, “Economic Research-Ekonomska Istraživanja”, 32 (1), pp. 2798–2817; https://doi.org/10.1080/1331677X.2019.1655466.
  • Doll W.J., Torkzadeh G. (1988), The Measurement of End-User Computing Satisfaction, “MIS Quarterly”, 12 (2), pp. 259–274; https://doi.org/10.2307/248851.
  • Donthu N., Kumar S., Mukherjee D., Pandey N., Lim W.M. (2021), How to conduct a bibliometric analysis: An overview and guidelines, “Journal of Business Research”, 133(April), pp. 285–296; https://doi.org/10.1016/j.jbusres.2021.04.070.
  • Eisenhardt K.M. (1989), Building Theories from Case Study Research, “The Academy of Management Review”, 14 (4), pp. 532–550; https://doi.org/10.2307/258557.
  • Garanina T., Hussinki H., Dumay J. (2021), Accounting for intangibles and intellectual capital: a literature review from 2000 to 2020, “Accounting and Finance”, 61 (4), pp. 5111–5140; https://doi.org/10.1111/acfi.12751.
  • Hartwick J., Barki H. (1994), Explaining the Role of User Participation in Information System Use, “Management Science”, 40 (4), pp. 440–465; https://doi.org/10.1287/mnsc.40.4.440.
  • Hevner A.R., March S.T., Park J., Ram S. (2004), Design Science in Information Systems Research, “MIS Quarterly”, 28 (1), pp. 75–105; https://doi.org/10.2307/25148625.
  • Hyvönen T., Jaervinen J., Pellinen J. (2008), A virtual integration-The management control system in a multinational enterprise, “Management Accounting Research”, 19 (1), pp. 45–61; https://doi.org/10.1016/j.mar.2007.08.001.
  • Jans M., Aysolmaz B., Corten M., Joshi A., Peteghem M. (2022), Digitalization in accounting – Warmly embraced or coldly ignored? “Accounting, Auditing & Accountability Journal”, 36 (9), pp. 61–85; https://doi.org/10.1108/AAAJ-11-2020-4998.
  • Klaus J.P., Kim K., Masli A., Guerra K., Kappelman L. (2022), Prioritizing IT Management Issues and Business Performance, “Journal of Information Systems”, 36 (2), pp. 83–99, https://doi.org/10.2308/ISYS-2020-016.
  • Krishnan R., Peters J., Padman R., Kaplan D. (2005), On data reliability assessment in accounting information systems. “Information System Research”, 16(3), pp. 307–326; https://doi.org/10.1287/isre.1050.0063.
  • Kumar S., Marrone M., Liu Q., Pandey N. (2020), Twenty years of the International Journal of Accounting Information Systems: A bibliometric analysis, “International Journal of Accounting Information Systems”, 39, 100488; https://doi.org/10.1016/j.accinf.2020.100488.
  • La Paz A., Merig J. M., Powell P., Ramaprasad A., Syn T. (2020), Twenty-five years of the Information Systems Journal: A bibliometric and ontological overview, “Information Systems Journal”, 30 (3), pp. 431–457; https://doi.org/10.1111/isj.12260.
  • Lidyah R., Aslichah, Defitri S. Y., Sudarmanto E., Rukmana A. Y. (2023), The Evolution of Accounting Information Systems Research: A Bibliometric Analysis of Key Concepts and Influential Authors, “The ES Accounting And Finance”, 1 (03), pp. 113–124; https://doi.org/10.58812/esaf.v1i03.99.
  • Lombardi R., de Villiers C., Moscariello N., Pizzo M. (2022), The disruption of blockchain in auditing – a systematic literature review and an agenda for future research, “Accounting, Auditing and Accountability Journal”, 35 (7), pp. 1534–1565; https://doi.org/10.1108/AAAJ-10-2020-4992.
  • Marginson D., King, M., McAulay L. (2000), Executives’ use of information technology: comparison of electronic mail and an accounting information system, “Journal of Information Technology”, 15, pp. 149–164; https://doi.org/10.1080/026839600344339.
  • Mauldin E.G., Ruchala L.V. (1999), Towards a meta-theory of accounting information systems. “Accounting, Organizations and Society”, 24, pp. 4; https://doi.org/10.1016/S0361-3682(99)00006-9.
  • McCallig J., Robb A., Rohde F. (2019), Establishing the representational faithfulness of financial accounting information using multiparty security, network analysis and a blockchain, “International Journal of Accounting Information Systems” 33, pp. 47–58; https://doi.org/10.1016/j.accinf.2019.03.004.
  • Mudau T.N., Cohen J., Papageorgiou E. (2024), Determinants and consequences of routine and advanced use of business intelligence (BI) systems by management accountants, “Information and Management”, 61, 103888; https://doi.org/10.1016/j.im.2023.103888.
  • Murthy U.S. (2016), Researching at the Intersection of Accounting and Information Technology: A Call for Action, “Journal of Information Systems”, 30 (2), pp. 159–167; https://doi.org/10.2308/isys-51413.
  • Murthy U.S., Wiggins C.E. (1999), A perspective on accounting information systems research, “Journal of Information Systems”, 13 (1), pp. 3–6.
  • OʼConnor N.G., Martinsons M.G. (2006), Management of information systems: Insights from accounting research, “Information & Management”, 43 (8), pp. 1014–1024.
  • Page M.J., McKenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., Chou R., Glanville J., Grimshaw J.M., Hróbjartsson A., Lalu M.M., Li T., Loder E.W., Mayo-Wilson E., McDonald S., Moher D. (2021), The PRISMA 2020 statement: an updated guideline for reporting systematic reviews, “Systematic Reviews”, 10, Article number 89; https://doi.org/10.1186/s13643-021-01626-4.
  • Paul J., Lim W.M., OʼCass A., Hao A. W., Bresciani S. (2021), Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR), “International Journal of Consumer Studies”, 45 (4), pp. O1–O16; https://doi.org/10.1111/IJCS.12695.
  • Peffers K., Tuunanen T., Rothenberger M.A., Chatterjee S. (2007), A Design Science Research Methodology for Information Systems Research. “Journal of Management Information Systems”, 24 (3), pp. 45–77; https://doi.org/10.2753/MIS0742-1222240302.
  • Podsakoff P.M., MacKenzie S.B., Lee J.-Y., Podsakoff N.P. (2003), Common method biases in behavioral research: A critical review of the literature and recommended remedies, “Journal of Applied Psychology”, 88 (5), pp. 879–903; https://doi.org/10.1037/0021-9010.88.5.879.
  • Rikhardsson P., Yigitbasioglu O. (2018), Business intelligence and analytics in management accounting research: Status and future focus, “International Journal of Accounting Information Systems”, 29, pp. 37–58; https://doi.org/10.1016/j.accinf.2018.03.001.
  • Rom A., Rohde C. (2007), Management accounting and integrated information systems: A literature review, “International Journal of Accounting Information Systems”, 8 (1), pp. 40–68; https://doi.org/10.1016/j.accinf.2006.12.003.
  • Semprevivo P. (1980), Incorporating data dictionary/directory and team approaches into the systems development process, “MIS Quarterly”, 4 (3), pp. 1–15.
  • Sogaard J.S. (2021), A blockchain-enabled platform for VAT settlement, “International Journal of Accounting Information Systems”, 40, 100502; https://doi.org/10.1016/j.accinf.2021.100502.
  • Taipaleenmäki J., Ikäheimo S. (2013), On the convergence of management accounting and financial accounting – the role of information technology in accounting change, “International Journal of Accounting Information Systems”, 14 (4), pp. 321–348; https://doi.org/10.1016/j.accinf.2013.09.003.
  • Tan B.S., Low K.Y. (2019), Blockchain as the Database Engine in the Accounting System, “Australian Accounting Review”, 29, pp. 312–318; https://doi.org/10.1111/auar.12278.
  • Trigo A., Belfo F., Estébanez R. P. (2016), Accounting Information Systems: Evolving towards a Business Process Oriented Accounting, “Procedia Computer Science”, 100, pp. 987–994; https://doi.org/10.1016/J.PROCS.2016.09.264.
  • Ugrin J.C. (2009), The Effect of System Characteristics, Stage of Adoption, and Experience on Institutional Explanations for ERP Systems Choice, “Accounting Horizons”, 23 (4), pp. 365–389; https://doi.org/10.2308/acch.2009.23.4.365.
  • Venkatesh V., Morris M.G., Davis G.B., Davis F.D. (2003), User Acceptance of Information Technology: Toward a Unified View, “MIS Quarterly”, 27 (3), pp. 425–478; https://doi.org/10.2307/30036540.
  • Verner J.M., Toraskar K., Brown R. (1996), Information systems chargeout: a review of current approaches and future challenges. “Journal of Information Technology”, 11 (2), pp. 101–117; https://doi.org/10.1080/026839696345324.
  • Wang X., Zhu W. (2025), Exploring the Relationship Between Accounting Information System (AIS) Quality and Corporate Sustainability Performance Using the IS Success Model, “Sustainability”, 17 (4), 1595; https://doi.org/10.3390/su17041595.
  • Wilkin C.L., Wang T. (2024), Reflections on the Journal of Information Systems and suggested future initiatives, “Journal of Information Systems”, 38 (1), pp. 1–3; https://doi.org/10.2308/ISYS-2024-003.
  • Xiao Z., Powell P.L., Dodgson J.H. (1998), The impact of information technology on information asymmetry, “European Journal of Information Systems”, 7, pp. 77–89; https://doi.org/10.1057/palgrave.ejis.3000291.
  • Zhang C.Y., Cho S., Vasarhelyi M. (2022), Explainable Artificial Intelligence (XAI) in auditing, “International Journal of Accounting Information Systems”, 46; https://doi.org/10.1016/j.accinf.2022.100572.
  • Zhu J., Liu W. (2020), A tale of two databases: the use of Web of Science and Scopus in academic papers, “Scientometrics”, 123 (1), pp. 321–335; https://doi.org/10.1007/S11192-020-03387-8/TABLES/3.
  • Fortune Business Insights (FBI), (2025, January 27), Accounting Software Market Size. https://www.fortunebusinessinsights.com/industry-reports/accounting-software-mar
  • ket-100107.

Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-1207b349-4bf4-4a19-8a8a-737176af182b
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