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Information overload research in accounting: a systematic review of the literature

Author

Listed:
  • Maren Hartmann

    (Heinrich Heine University Düsseldorf)

  • Barbara E. Weißenberger

    (Heinrich Heine University Düsseldorf)

Abstract

This paper reviews literature in the domain of information overload in accounting. The underlying psychological concepts of information load (as applied in accounting research) are summarized, and a framework to discuss findings in a structured way is proposed. This framework serves to make causes, consequences, and countermeasures transparent. Variables are further clustered into major categories from information processing research: input, process, and output. The main variables investigated are the characteristics of the information set, especially the number of information cues as an input variable; the experience of the decision-maker, the decision time, decision rule, and cue usage as process variables; and measures related to decision quality (i.e., accuracy, consensus, consistency) and related to selfinsight (calibration, confidence, feeling of overload) as output variables. The contexts of the respective research papers are described, and the operationalization of variables detailed and compared. We employ the method of stylized facts to evaluate the strength of the links between variables (number of links, direction and significance of relationship). The findings can be summarized as follows: most articles focus on individual decision-making in the domain of external accounting, with financial distress predictions constituting a large part of these. Most papers focus on input and output variables with the underlying information processing receiving less attention. The effects observed are dependent on the type of information input and the task employed. Decision accuracy is likely to decrease once information load passes a certain threshold, while decision time and a feeling of overload increase with increasing information load. While experience increases decision accuracy, the results on decision time and consensus are conflicting. Most articles have not established a significant link between changes in information load and changes in decision confidence. Relative cue usage, consensus, consistency, and calibration decline with increasing information load. Available time has a rather positive effect on decision accuracy and consensus. Based on these findings, implications for practice and future research are derived.

Suggested Citation

  • Maren Hartmann & Barbara E. Weißenberger, 2024. "Information overload research in accounting: a systematic review of the literature," Management Review Quarterly, Springer, vol. 74(3), pages 1619-1667, September.
  • Handle: RePEc:spr:manrev:v:74:y:2024:i:3:d:10.1007_s11301-023-00343-7
    DOI: 10.1007/s11301-023-00343-7
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    References listed on IDEAS

    as
    1. Patrick Velte, 2022. "Meta-analyses on Corporate Social Responsibility (CSR): a literature review," Management Review Quarterly, Springer, vol. 72(3), pages 627-675, September.
    2. Snowball, Doug, 1980. "Some effects of accounting expertise and information load: An empirical study," Accounting, Organizations and Society, Elsevier, vol. 5(3), pages 323-338, July.
    3. David Gadenne & Errol R. Iselin, 2000. "Properties of Accounting and Finance Information and Their Effects on the Performance of Bankers and Models in Predicting Company Failure," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(1&2), pages 155-193.
    4. Schick, Allen G. & Gordon, Lawrence A. & Haka, Susan, 1990. "Information overload: A temporal approach," Accounting, Organizations and Society, Elsevier, vol. 15(3), pages 199-220.
    5. Bonner, Sarah E. & Sprinkle, Geoffrey B., 2002. "The effects of monetary incentives on effort and task performance: theories, evidence, and a framework for research," Accounting, Organizations and Society, Elsevier, vol. 27(4-5), pages 303-345.
    6. Iselin, Errol R., 1988. "The effects of information load and information diversity on decision quality in a structured decision task," Accounting, Organizations and Society, Elsevier, vol. 13(2), pages 147-164, March.
    7. Blocher, Edward & Moffie, Robert P. & Zmud, Robert W., 1986. "Report format and task complexity: Interaction in risk judgments," Accounting, Organizations and Society, Elsevier, vol. 11(6), pages 457-470, October.
    8. Robert Winter, 2009. "What in Fact is Fundamental Research in Business and Information Systems Engineering?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 1(2), pages 192-199, April.
    9. Peter Loos & Peter Fettke & Barbara Weißenberger & Stephan Zelewski & Armin Heinzl & Ulrich Frank & Juhani Iivari, 2011. "What in Fact Is the Role of Stylized Facts in Fundamental Research of Business and Information Systems Engineering?," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 3(2), pages 107-125, April.
    10. Rose, Jacob M. & Wolfe, Christopher J., 2000. "The effects of system design alternatives on the acquisition of tax knowledge from a computerized tax decision aid," Accounting, Organizations and Society, Elsevier, vol. 25(3), pages 285-306, April.
    11. Chewning, Eugene Jr & Harrell, Adrian M., 1990. "The effect of information load on decision makers' cue utilization levels and decision quality in a financial distress decision task," Accounting, Organizations and Society, Elsevier, vol. 15(6), pages 527-542.
    12. Tuttle, Brad & Burton, F. Greg, 1999. "The effects of a modest incentive on information overload in an investment analysis task," Accounting, Organizations and Society, Elsevier, vol. 24(8), pages 673-687, November.
    13. Shujun Ding & Philip Beaulieu, 2011. "The Role of Financial Incentives in Balanced Scorecard‐Based Performance Evaluations: Correcting Mood Congruency Biases," Journal of Accounting Research, Wiley Blackwell, vol. 49(5), pages 1223-1247, December.
    14. Lei Dong & Gladie Lui & Bernard Wong†On†Wing, 2017. "Unintended Consequences of Forecast Disaggregation: A Multi†Period Perspective," Contemporary Accounting Research, John Wiley & Sons, vol. 34(3), pages 1580-1595, September.
    15. Koichi Hioki & Eiichiro Suematsu & Hiroshi Miya, 2020. "The interaction effect of quantity and characteristics of accounting measures on performance evaluation," Pacific Accounting Review, Emerald Group Publishing Limited, vol. 32(3), pages 305-321, March.
    16. Libby, Robert & Lewis, Barry L., 1977. "Human information processing research in accounting: The state of the art," Accounting, Organizations and Society, Elsevier, vol. 2(3), pages 245-268, June.
    17. Dan Ariely & Uri Gneezy & George Loewenstein & Nina Mazar, 2009. "Large Stakes and Big Mistakes," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(2), pages 451-469.
    18. D. Eric Hirst & Lisa Koonce & Shankar Venkataraman, 2007. "How Disaggregation Enhances the Credibility of Management Earnings Forecasts," Journal of Accounting Research, Wiley Blackwell, vol. 45(4), pages 811-837, September.
    19. Simnett, Roger, 1996. "The effect of information selection, information processing and task complexity on predictive accuracy of auditors," Accounting, Organizations and Society, Elsevier, vol. 21(7-8), pages 699-719.
    20. Peter Gordon Roetzel & Burkhard Pedell & Daniel Groninger, 2020. "Information load in escalation situations: combustive agent or counteractive measure?," Journal of Business Economics, Springer, vol. 90(5), pages 757-786, June.
    21. Otley, Dt & Dias, Fjb, 1982. "Accounting Aggregation And Decision-Making Performance - An Experimental Investigation," Journal of Accounting Research, Wiley Blackwell, vol. 20(1), pages 171-188.
    22. David Gadenne & Errol R. Iselin, 2000. "Properties of Accounting and Finance Information and Their Effects on the Performance of Bankers and Models in Predicting Company Failure," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(1‐2), pages 155-193, January.
    23. Ragland, Linda & Reck, Jacqueline L., 2016. "The effects of the method used to present a complex item on the face of a financial statement on nonprofessional investors' judgments," Advances in accounting, Elsevier, vol. 34(C), pages 77-89.
    24. Sprinkle, Geoffrey B., 2003. "Perspectives on experimental research in managerial accounting," Accounting, Organizations and Society, Elsevier, vol. 28(2-3), pages 287-318.
    25. Hines, Ruth D., 1988. "Financial accounting: In communicating reality, we construct reality," Accounting, Organizations and Society, Elsevier, vol. 13(3), pages 251-261, April.
    26. Shields, Michael D., 1980. "Some effects on information load on search patterns used to analyze performance reports," Accounting, Organizations and Society, Elsevier, vol. 5(4), pages 429-442, October.
    27. Bernhard Hirsch & Anna Seubert & Matthias Sohn, 2015. "Visualisation of data in management accounting reports," Journal of Applied Accounting Research, Emerald Group Publishing Limited, vol. 16(2), pages 221-239, September.
    28. Soo Yeong Ewe & Ferdinand A. Gul & Christina Kwai Choi Lee & Chia Yen Yang, 2018. "The Role of Regulatory Focus and Information in Investment Choice: Some Evidence Using Visual Cues to Frame Regulatory Focus," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 19(1), pages 89-100, January.
    29. Norman L. Chervany & Gary W. Dickson, 1974. "An Experimental Evaluation of Information Overload in a Production Environment," Management Science, INFORMS, vol. 20(10), pages 1335-1344, June.
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    More about this item

    Keywords

    Information overload; Literature review; Accounting; Decision-making; Information processing;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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