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The effect of visualization and complexity tasks in investment decision making

Author

Listed:
  • Almilia Luciana S.
  • Dewi Nurul H. U.
  • Wulanditya Putri

    (STIE PERBANAS SURABAYA, Wonorejo Utara 16, Surabaya, Indonesia)

Abstract

This study examines the effect of visualization level and level of assignment complexity on investment decision making as measured by level of accuracy, level of confidence and calibration level. This research uses experimental method. The experimental method in this research is 2x2 (mixed design) include: (1) Level of visualization (high and low) and (2) Complexity of task (high and low). The dependent variable in this research is the level of accuracy, level of confidence and calibration level. Data analysis technique used in this research is independent sample t-test. Participants in this study are students of Accounting Undergraduate Program in one Private University in East Java. The total participants in this study were 103 people, but only 77 participants who passed the check manipulation and can be analyzed further. The results of this study indicate that the visualization effect in decision-making has an effect only when decision makers receive assignment with low complexity of assignment. The results of this study indicate that the effect of the complexity of the assignment influences both decision-making as measured by the level of accuracy, level of confidence and calibration level.

Suggested Citation

  • Almilia Luciana S. & Dewi Nurul H. U. & Wulanditya Putri, 2019. "The effect of visualization and complexity tasks in investment decision making," HOLISTICA – Journal of Business and Public Administration, Sciendo, vol. 10(1), pages 68-77, April.
  • Handle: RePEc:vrs:hjobpa:v:10:y:2019:i:1:p:68-77:n:6
    DOI: 10.2478/hjbpa-2019-0006
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    References listed on IDEAS

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    1. Desanctis, Gerardine & Jarvenpaa, Sirkka L., 1989. "Graphical presentation of accounting data for financial forecasting: An experimental investigation," Accounting, Organizations and Society, Elsevier, vol. 14(5-6), pages 509-525, October.
    2. George M. Kasper, 1996. "A Theory of Decision Support System Design for User Calibration," Information Systems Research, INFORMS, vol. 7(2), pages 215-232, June.
    3. Luciana Spica Almilia & Supriyadi, 2013. "Examining belief adjustment model on investment decision making," International Journal of Economics and Accounting, Inderscience Enterprises Ltd, vol. 4(2), pages 169-183.
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    More about this item

    Keywords

    visualization effects; effects of task complexity; level of accuracy; level of confidence; calibration level;
    All these keywords.

    JEL classification:

    • M40 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - General
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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