Cardoso Ricardo Lopes, Leite Rodrigo Oliveira, de Aquino André Carlos Busanelli
Fundação Getulio Vargas, Brazilian School of Public and Business Administration, Rio de Janeiro, RJ, Brazil.
Universidade de São Paulo, School of Economics, Business Administration and Accounting at Ribeirão Preto, Ribeirão Preto, SP, Brazil.
PLoS One. 2016 Aug 10;11(8):e0160443. doi: 10.1371/journal.pone.0160443. eCollection 2016.
Previous researches support that graphs are relevant decision aids to tasks related to the interpretation of numerical information. Moreover, literature shows that different types of graphical information can help or harm the accuracy on decision making of accountants and financial analysts. We conducted a 4×2 mixed-design experiment to examine the effects of numerical information disclosure on financial analysts' accuracy, and investigated the role of overconfidence in decision making. Results show that compared to text, column graph enhanced accuracy on decision making, followed by line graphs. No difference was found between table and textual disclosure. Overconfidence harmed accuracy, and both genders behaved overconfidently. Additionally, the type of disclosure (text, table, line graph and column graph) did not affect the overconfidence of individuals, providing evidence that overconfidence is a personal trait. This study makes three contributions. First, it provides evidence from a larger sample size (295) of financial analysts instead of a smaller sample size of students that graphs are relevant decision aids to tasks related to the interpretation of numerical information. Second, it uses the text as a baseline comparison to test how different ways of information disclosure (line and column graphs, and tables) can enhance understandability of information. Third, it brings an internal factor to this process: overconfidence, a personal trait that harms the decision-making process of individuals. At the end of this paper several research paths are highlighted to further study the effect of internal factors (personal traits) on financial analysts' accuracy on decision making regarding numerical information presented in a graphical form. In addition, we offer suggestions concerning some practical implications for professional accountants, auditors, financial analysts and standard setters.
以往的研究支持图表是与数字信息解读相关任务的重要决策辅助工具。此外,文献表明不同类型的图形信息可能有助于或损害会计师和财务分析师决策的准确性。我们进行了一项4×2混合设计实验,以检验数字信息披露对财务分析师准确性的影响,并研究过度自信在决策中的作用。结果表明,与文本相比,柱状图提高了决策的准确性,其次是折线图。表格披露和文本披露之间没有发现差异。过度自信会损害准确性,且男女都表现出过度自信。此外,披露类型(文本、表格、折线图和柱状图)不会影响个体的过度自信,这表明过度自信是一种个人特质。本研究有三点贡献。第一,它提供了来自更大样本量(295名)财务分析师而非较小样本量学生的证据,证明图表是与数字信息解读相关任务的重要决策辅助工具。第二,它以文本作为基线比较,来测试不同的信息披露方式(折线图、柱状图和表格)如何提高信息的可理解性。第三,它将一个内部因素引入这个过程:过度自信,这是一种损害个体决策过程的个人特质。在本文结尾,强调了几条研究路径,以进一步研究内部因素(个人特质)对财务分析师解读以图形形式呈现的数字信息时决策准确性的影响。此外,我们还为专业会计师、审计师、财务分析师和准则制定者提供了一些实际应用方面的建议。