IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v67y2014i11p2376-2384.html
   My bibliography  Save this article

Aggregated or disaggregated information first?

Author

Listed:
  • Lau, Yeng Wai

Abstract

Proliferation of reporting tools—such as “Online Analytical Processing” (OLAP)—and current practices of viewing information in a sequence from aggregated-to-disaggregated information are encouraged in the attention economy characterized by scarcity of human attention. The aggregated-to-disaggregated sequence in viewing information preserves scarce attentional resources by directing human attention. In a quasi-experimental setting, two sequences in viewing product profitability information—aggregated-to-disaggregated versus disaggregated-to-aggregated sequence—are contrasted. Results of 92 participating advanced accounting students reveal that consistent with conventional wisdom, the aggregated-to-disaggregated sequence directs human attention. On the other hand, the disaggregated-to-aggregated sequence facilitates knowledge application and discovery of previously undiscerned information that alters conventional understanding. Such findings shed light on the implications of directing human attention to preserve scarce attentional resources.

Suggested Citation

  • Lau, Yeng Wai, 2014. "Aggregated or disaggregated information first?," Journal of Business Research, Elsevier, vol. 67(11), pages 2376-2384.
  • Handle: RePEc:eee:jbrese:v:67:y:2014:i:11:p:2376-2384
    DOI: 10.1016/j.jbusres.2014.02.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296314000678
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2014.02.003?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Pincus, Karen V., 1989. "The efficacy of a red flags questionnaire for assessing the possibility of fraud," Accounting, Organizations and Society, Elsevier, vol. 14(1-2), pages 153-163, January.
    2. Stephen K. Asare & Arnold M. Wright, 2003. "A Note on the Interdependence between Hypothesis Generation and Information Search in Conducting Analytical Procedures," Contemporary Accounting Research, John Wiley & Sons, vol. 20(2), pages 235-251, June.
    3. Manoj Thomas & Vicki Morwitz, 2005. "Penny Wise and Pound Foolish: The Left-Digit Effect in Price Cognition," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 32(1), pages 54-64, June.
    4. 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.
    5. Christine E. Earley, 2002. "The Differential Use of Information by Experienced and Novice Auditors in the Performance of Ill†Structured Audit Tasks," Contemporary Accounting Research, John Wiley & Sons, vol. 19(4), pages 595-614, December.
    6. Bonner, Se & Lewis, Bl, 1990. "Determinants Of Auditor Expertise," Journal of Accounting Research, Wiley Blackwell, vol. 28, pages 1-20.
    7. Libby, Robert & Luft, Joan, 1993. "Determinants of judgment performance in accounting settings: Ability, knowledge, motivation, and environment," Accounting, Organizations and Society, Elsevier, vol. 18(5), pages 425-450, July.
    8. Libby, R, 1985. "Availability And The Generation Of Hypotheses In Analytical Review," Journal of Accounting Research, Wiley Blackwell, vol. 23(2), pages 648-667.
    9. Barrick, John A. & Spilker, Brian C., 2003. "The relations between knowledge, search strategy, and performance in unaided and aided information search," Organizational Behavior and Human Decision Processes, Elsevier, vol. 90(1), pages 1-18, January.
    10. Tan, HT & Kao, A, 1999. "Accountability effects on auditors' performance: The influence of knowledge, problem-solving ability, and task complexity," Journal of Accounting Research, Wiley Blackwell, vol. 37(1), pages 209-223.
    11. O'Donnell, Ed. & Koch, Bruce & Boone, Jeff, 2005. "The influence of domain knowledge and task complexity on tax professionals' compliance recommendations," Accounting, Organizations and Society, Elsevier, vol. 30(2), pages 145-165, February.
    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. von der Gracht, Heiko A. & Hommel, Ulrich & Prokesch, Tobias & Wohlenberg, Holger, 2016. "Testing weighting approaches for forecasting in a Group Wisdom Support System environment," Journal of Business Research, Elsevier, vol. 69(10), pages 4081-4094.

    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. Rajni Mala & Parmod Chand, 2015. "Judgment and Decision‐Making Research in Auditing and Accounting: Future Research Implications of Person, Task, and Environment Perspective," Accounting Perspectives, John Wiley & Sons, vol. 14(1), pages 1-50, March.
    2. Cardinaels, Eddy, 2008. "The interplay between cost accounting knowledge and presentation formats in cost-based decision-making," Accounting, Organizations and Society, Elsevier, vol. 33(6), pages 582-602, August.
    3. Solomon, Ira & Trotman, Ken T., 2003. "Experimental judgment and decision research in auditing: the first 25 years of AOS," Accounting, Organizations and Society, Elsevier, vol. 28(4), pages 395-412, May.
    4. Alissa, Walid & Capkun, Vedran & Jeanjean, Thomas & Suca, Nadja, 2014. "An empirical investigation of the impact of audit and auditor characteristics on auditor performance," Accounting, Organizations and Society, Elsevier, vol. 39(7), pages 495-510.
    5. O'Donnell, Ed. & Koch, Bruce & Boone, Jeff, 2005. "The influence of domain knowledge and task complexity on tax professionals' compliance recommendations," Accounting, Organizations and Society, Elsevier, vol. 30(2), pages 145-165, February.
    6. Dezoort, F. T., 1998. "An analysis of experience effects on audit committee members' oversight judgments," Accounting, Organizations and Society, Elsevier, vol. 23(1), pages 1-21, January.
    7. Seow, Poh-Sun, 2011. "The effects of decision aid structural restrictiveness on decision-making outcomes," International Journal of Accounting Information Systems, Elsevier, vol. 12(1), pages 40-56.
    8. 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.
    9. David T. Dearman & Michael D. Shields, 2005. "Avoiding Accounting Fixation: Determinants of Cognitive Adaptation to Differences in Accounting Method," Contemporary Accounting Research, John Wiley & Sons, vol. 22(2), pages 351-384, June.
    10. Dilla, William N. & Janvrin, Diane J. & Jeffrey, Cynthia, 2014. "Pro forma accounting disclosures: The effect of reconciliations and financial reporting knowledge on nonprofessional investors' judgments," Advances in accounting, Elsevier, vol. 30(1), pages 43-54.
    11. Bills, Kenneth L. & Cobabe, Matthew & Pittman, Jeffrey & Stein, Sarah E., 2020. "To share or not to share: The importance of peer firm similarity to auditor choice," Accounting, Organizations and Society, Elsevier, vol. 83(C).
    12. Luippold, Benjamin L. & Kida, Thomas & Piercey, M. David & Smith, James F., 2015. "Managing audits to manage earnings: The impact of diversions on an auditor’s detection of earnings management," Accounting, Organizations and Society, Elsevier, vol. 41(C), pages 39-54.
    13. Clement, Michael B. & Koonce, Lisa & Lopez, Thomas J., 2007. "The roles of task-specific forecasting experience and innate ability in understanding analyst forecasting performance," Journal of Accounting and Economics, Elsevier, vol. 44(3), pages 378-398, December.
    14. Rita Lamboglia & Daniela Mancini, 2021. "The relationship between auditors’ human capital attributes and the assessment of the control environment," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 25(4), pages 1211-1239, December.
    15. Glover, Steven M. & Prawitt, Douglas F. & Spilker, Brian C., 1997. "The Influence of Decision Aids on User Behavior: Implications for Knowledge Acquisition and Inappropriate Reliance," Organizational Behavior and Human Decision Processes, Elsevier, vol. 72(2), pages 232-255, November.
    16. Owhoso, Vincent & Weickgenannt, Andrea, 2009. "Auditors’ self-perceived abilities in conducting domain audits," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 20(1), pages 3-21.
    17. Ruhnke, Klaus, 2023. "Empirical research frameworks in a changing world: The case of audit data analytics," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 51(C).
    18. Jagdish PATHAK & Mary LIND & Mohammad ABDOLMOHAMMADI, 2010. "E-Commerce Audit Judgment Expertise: Does Expertise in System Change Management and Information Technology Auditing Mediate E-Commerce Audit Judgment Expertise?," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(1), pages 5-20.
    19. Asare, S. K. & Wright, A., 1997. "Hypothesis revision strategies in conducting analytical procedures," Accounting, Organizations and Society, Elsevier, vol. 22(8), pages 737-755, November.
    20. Lisa Frey, 2018. "Tax certified individual auditors and effective tax rates," Business Research, Springer;German Academic Association for Business Research, vol. 11(1), pages 77-114, February.

    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:eee:jbrese:v:67:y:2014:i:11:p:2376-2384. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.