IDEAS home Printed from https://ideas.repec.org/a/bla/ausact/v28y2018i3p323-333.html
   My bibliography  Save this article

Big Data Opportunities for Accounting and Finance Practice and Research

Author

Listed:
  • Sophie Cockcroft
  • Mark Russell

Abstract

We examine the research opportunities for the use of ‘big data’ in accounting and finance. The purpose of the study is to present a snapshot of big data academic research in information systems, accounting and finance, and to highlight areas for further research in accounting and finance. The research question addressed in this work is: What are the major themes in existing research in big data and where are the resulting gaps in the accounting and finance literature? An analysis is presented of 47 accounting, finance and information systems journals from 2007–2016. We identify and sample the relevant literature to derive a taxonomy of themes. These themes are presented as a conceptual matrix in which the themes from the taxonomy are used as concepts, and the matrix identifies where they appear, and where there are potential areas for further research. Prior research in big data in accounting, finance and information systems falls into six themes. The six under‐researched areas of big data in accounting and finance are risk and security, data visualisation and predictive analytics, data management and data quality. Increased research in these areas will lead to improvements in industry practices, and opportunities for cross‐disciplinary research.

Suggested Citation

  • Sophie Cockcroft & Mark Russell, 2018. "Big Data Opportunities for Accounting and Finance Practice and Research," Australian Accounting Review, CPA Australia, vol. 28(3), pages 323-333, September.
  • Handle: RePEc:bla:ausact:v:28:y:2018:i:3:p:323-333
    DOI: 10.1111/auar.12218
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/auar.12218
    Download Restriction: no

    File URL: https://libkey.io/10.1111/auar.12218?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Bin Gu & Prabhudev Konana & Rajagopal Raghunathan & Hsuanwei Michelle Chen, 2014. "Research Note —The Allure of Homophily in Social Media: Evidence from Investor Responses on Virtual Communities," Information Systems Research, INFORMS, vol. 25(3), pages 604-617, September.
    2. Chiu, Victoria & Liu, Qi & Vasarhelyi, Miklos A., 2014. "The development and intellectual structure of continuous auditing research," Journal of Accounting Literature, Elsevier, vol. 33(1), pages 37-57.
    3. Bhanu Sharma & Ruppa K. Thulasiram & Parimala Thulasiraman, 2015. "Computing value-at-risk using genetic algorithm," Journal of Risk Finance, Emerald Group Publishing, vol. 16(2), pages 170-189, March.
    4. Shahriar Akter & Samuel Fosso Wamba, 2016. "Big data analytics in E-commerce: a systematic review and agenda for future research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 173-194, May.
    5. Flood, Mark D. & Lemieux, Victoria L. & Varga, Margaret & William Wong, B.L., 2016. "The application of visual analytics to financial stability monitoring," Journal of Financial Stability, Elsevier, vol. 27(C), pages 180-197.
    6. Colin Ferguson & Poh‐Sun Seow, 2011. "Accounting information systems research over the past decade: Past and future trends," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 51(1), pages 235-251, March.
    7. Efraim Turban & Judy Whiteside & David King & Jon Outland, 2017. "Introduction to Electronic Commerce and Social Commerce," Springer Texts in Business and Economics, Springer, edition 4, number 978-3-319-50091-1, August.
    8. Olivera Marjanovic & Vijaya Murthy, 2016. "From product-centric to customer-centric services in a financial institution – exploring the organizational challenges of the transition process," Information Systems Frontiers, Springer, vol. 18(3), pages 479-497, June.
    9. Kishore Singh & Peter Best, 2016. "Interactive visual analysis of anomalous accounts payable transactions in SAP enterprise systems," Managerial Auditing Journal, Emerald Group Publishing, vol. 31(1), pages 35-63, January.
    10. Xueming Luo & Jie Zhang & Wenjing Duan, 2013. "Social Media and Firm Equity Value," Information Systems Research, INFORMS, vol. 24(1), pages 146-163, March.
    11. Clive Gaunt & Steven Cahan, 2014. "Accounting and Finance: authorship and citation trends," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 54(2), pages 441-465, June.
    12. Jeacle, Ingrid & Carter, Chris, 2011. "In TripAdvisor we trust: Rankings, calculative regimes and abstract systems," Accounting, Organizations and Society, Elsevier, vol. 36(4), pages 293-309.
    13. Nofer, Michael & Hinz, Oliver, 2015. "Using Twitter to Predict the Stock Market: Where is the Mood Effect?," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 77140, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    14. Alnoor Bhimani & Leslie Willcocks, 2014. "Digitisation, 'Big Data' and the transformation of accounting information," Accounting and Business Research, Taylor & Francis Journals, vol. 44(4), pages 469-490, August.
    15. Howard Chivers & John A. Clark & Philip Nobles & Siraj A. Shaikh & Hao Chen, 2013. "Knowing who to watch: Identifying attackers whose actions are hidden within false alarms and background noise," Information Systems Frontiers, Springer, vol. 15(1), pages 17-34, March.
    16. Robert Wayne Gregory & Jan Muntermann, 2014. "Research Note —Heuristic Theorizing: Proactively Generating Design Theories," Information Systems Research, INFORMS, vol. 25(3), pages 639-653, September.
    17. Tim Loughran & Bill Mcdonald, 2011. "When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10‐Ks," Journal of Finance, American Finance Association, vol. 66(1), pages 35-65, February.
    18. Jörg Becker & Patrick Delfmann & Hanns-Alexander Dietrich & Matthias Steinhorst & Mathias Eggert, 2016. "Business process compliance checking – applying and evaluating a generic pattern matching approach for conceptual models in the financial sector," Information Systems Frontiers, Springer, vol. 18(2), pages 359-405, April.
    19. Carly L. Huth & David W. Chadwick & William R. Claycomb & Ilsun You, 2013. "Guest editorial: A brief overview of data leakage and insider threats," Information Systems Frontiers, Springer, vol. 15(1), pages 1-4, March.
    20. Dzielinski, Michal, 2012. "Measuring economic uncertainty and its impact on the stock market," Finance Research Letters, Elsevier, vol. 9(3), pages 167-175.
    21. Michael Nofer & Oliver Hinz, 2015. "Using Twitter to Predict the Stock Market," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(4), pages 229-242, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Morshadul Hasan & Ariful Hoque & Thi Le, 2023. "Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives," FinTech, MDPI, vol. 2(3), pages 1-26, July.
    2. Marco Bellucci & Damiano Cesa Bianchi & Giacomo Manetti, 2021. "A literature review on blockchain in accounting research," Working Papers - Business wp2021_04.rdf, Universita' degli Studi di Firenze, Dipartimento di Scienze per l'Economia e l'Impresa.
    3. Tadas Limba & Andrejus Novikovas & Andrius Stankevičius & Antanas Andrulevičius & Manuela Tvaronavičienė, 2020. "Big Data Manifestation in Municipal Waste Management and Cryptocurrency Sectors: Positive and Negative Implementation Factors," Sustainability, MDPI, vol. 12(7), pages 1-14, April.
    4. Emilio Abad-Segura & Mariana-Daniela González-Zamar & Eloy López-Meneses & Esteban Vázquez-Cano, 2020. "Financial Technology: Review of Trends, Approaches and Management," Mathematics, MDPI, vol. 8(6), pages 1-37, June.
    5. Khalil Feghali & Joelle Matta & Samir Moussa, 2022. "Digital Transformation of Accounting Practices and Behavior During COVID-19: MENA Evidence," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(2), pages 236-269, June.
    6. Laura Corazza & Junru Zhang & Dilhani Kapu Arachchilage & Simone Domenico Scagnelli, 2022. "Blockchain and Sustainability Disclosure: A Scenario-Based Application for Supply Chains," Sustainability, MDPI, vol. 15(1), pages 1-12, December.
    7. Michele Galeotti & Rosa Lombardi & Paola Paoloni & Fabiana Roberto, 2022. "Big data and sustainability reports: The current approach to non-accounting data management," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2022(2 Suppl.), pages 95-116.
    8. Mohamed Saeudy & Ali Meftah Gerged & Khaldoon Albitar, 2022. "Accounting Perspectives on The Business Value of Big Data During and Beyond The COVID-19 Pandemic," Journal of Accounting and Management Information Systems, Faculty of Accounting and Management Information Systems, The Bucharest University of Economic Studies, vol. 21(2), pages 174-199, June.
    9. Marina Johnson & Rashmi Jain & Peggy Brennan-Tonetta & Ethne Swartz & Deborah Silver & Jessica Paolini & Stanislav Mamonov & Chelsey Hill, 2021. "Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(3), pages 197-217, September.
    10. Feng Xiong & Maoyue Xie & Lingjuan Zhao & Cheng Li & Xuan Fan, 2022. "Recognition and Evaluation of Data as Intangible Assets," SAGE Open, , vol. 12(2), pages 21582440221, April.
    11. Lavinia Mihaela CRISTEA, 2020. "Innovations in Financial Audit based on Emerging Technologies," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 18(159), pages 513-513.
    12. Falana, Gbenga Ayodele & Olusola Esther (PhD) & Dagunduro, Muyiwa Emmanuel, 2023. "Effect of Big Data on Accounting Information Quality in Selected Firms in Nigeria," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 789-806, March.
    13. Adriana Tiron-Tudor & Delia Deliu, 2021. "Big Data’s Disruptive Effect on Job Profiles: Management Accountants’ Case Study," JRFM, MDPI, vol. 14(8), pages 1-26, August.
    14. Sora Yoon, 2020. "A Study on the Transformation of Accounting Based on New Technologies: Evidence from Korea," Sustainability, MDPI, vol. 12(20), pages 1-22, October.
    15. Yuqian Zhang, 2023. "Using Google Trends to track the global interest in International Financial Reporting Standards: Evidence from big data," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(2), pages 87-100, April.
    16. Huidong Sun & Mustafa Raza Rabbani & Muhammad Safdar Sial & Siming Yu & José António Filipe & Jacob Cherian, 2020. "Identifying Big Data’s Opportunities, Challenges, and Implications in Finance," Mathematics, MDPI, vol. 8(10), pages 1-19, October.
    17. Alnoor Bhimani, 2020. "Digital data and management accounting: why we need to rethink research methods," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 31(1), pages 9-23, April.
    18. Francis Aboagye‐Otchere & Cletus Agyenim‐Boateng & Abdulai Enusah & Theodora Ekua Aryee, 2021. "A Review of Big Data Research in Accounting," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 28(4), pages 268-283, October.
    19. Stewart Jones & Nurul Alam, 2019. "A machine learning analysis of citation impact among selected Pacific Basin journals," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 59(4), pages 2509-2552, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bowden, James & Gemayel, Roland, 2022. "Sentiment and trading decisions in an ambiguous environment: A study on cryptocurrency traders," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    2. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    3. Peng Xie, 2022. "The Interplay Between Investor Activity on Virtual Investment Community and the Trading Dynamics: Evidence From the Bitcoin Market," Information Systems Frontiers, Springer, vol. 24(4), pages 1287-1303, August.
    4. Benjamin Clapham & Michael Siering & Peter Gomber, 2021. "Popular News Are Relevant News! How Investor Attention Affects Algorithmic Decision-Making and Decision Support in Financial Markets," Information Systems Frontiers, Springer, vol. 23(2), pages 477-494, April.
    5. Daniele Ballinari & Simon Behrendt, 2021. "How to gauge investor behavior? A comparison of online investor sentiment measures," Digital Finance, Springer, vol. 3(2), pages 169-204, June.
    6. Eryka Probierz & Adam Galuszka & Katarzyna Klimczak & Karol Jedrasiak & Tomasz Wisniewski & Tomasz Dzida, 2021. "Financial Sentiment on Twitter's Community and it's Connection to Polish Stock Market Movements in Context of Behavior Modelling," European Research Studies Journal, European Research Studies Journal, vol. 0(4B), pages 56-65.
    7. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    8. Rikhardsson, Pall & Yigitbasioglu, Ogan, 2018. "Business intelligence & analytics in management accounting research: Status and future focus," International Journal of Accounting Information Systems, Elsevier, vol. 29(C), pages 37-58.
    9. Geng, Yuedan & Ye, Qiang & Jin, Yu & Shi, Wen, 2022. "Crowd wisdom and internet searches: What happens when investors search for stocks?," International Review of Financial Analysis, Elsevier, vol. 82(C).
    10. Bhanu Pratap & Nalin Priyaranjan, 2023. "Macroeconomic effects of uncertainty: a Google trends-based analysis for India," Empirical Economics, Springer, vol. 65(4), pages 1599-1625, October.
    11. Qadan, Mahmoud & Aharon, David Y. & Cohen, Gil, 2020. "Everybody likes shopping, including the US capital market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    12. Lehrer, Steven & Xie, Tian & Zhang, Xinyu, 2021. "Social media sentiment, model uncertainty, and volatility forecasting," Economic Modelling, Elsevier, vol. 102(C).
    13. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    14. Stefan Stieglitz & Christian Meske & Björn Ross & Milad Mirbabaie, 2020. "Going Back in Time to Predict the Future - The Complex Role of the Data Collection Period in Social Media Analytics," Information Systems Frontiers, Springer, vol. 22(2), pages 395-409, April.
    15. Frank Z. Xing & Erik Cambria & Lorenzo Malandri & Carlo Vercellis, 2018. "Discovering Bayesian Market Views for Intelligent Asset Allocation," Papers 1802.09911, arXiv.org, revised Jun 2018.
    16. Karen Benson & Peter M Clarkson & Tom Smith & Irene Tutticci, 2015. "A review of accounting research in the Asia Pacific region," Australian Journal of Management, Australian School of Business, vol. 40(1), pages 36-88, February.
    17. Costola, Michele & Hinz, Oliver & Nofer, Michael & Pelizzon, Loriana, 2023. "Machine learning sentiment analysis, COVID-19 news and stock market reactions," Research in International Business and Finance, Elsevier, vol. 64(C).
    18. Patrick Houlihan & Germán G. Creamer, 2021. "Leveraging Social Media to Predict Continuation and Reversal in Asset Prices," Computational Economics, Springer;Society for Computational Economics, vol. 57(2), pages 433-453, February.
    19. Knudsen, Dan-Richard, 2020. "Elusive boundaries, power relations, and knowledge production: A systematic review of the literature on digitalization in accounting," International Journal of Accounting Information Systems, Elsevier, vol. 36(C).
    20. Heba Ali, 2018. "Twitter, Investor Sentiment and Capital Markets: What Do We Know?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(8), pages 158-158, August.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:ausact:v:28:y:2018:i:3:p:323-333. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=1035-6908 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.