Abstract
Despite regulatory reforms aimed at inhibiting aggressive financial reporting, earnings management persists and continues to concern practitioners, regulators, and standard setters. To provide insight into this practice and how to mitigate it, we conduct an experiment to examine the impact of two independent variables on CFOs’ discretionary expense accruals. One independent variable, incentive conflict, is manipulated at two levels (present and absent)—i.e., the presence or absence of a personal financial incentive that conflicts with a corporate financial incentive. The other independent variable is CFOs’ earnings management ethics (“EM-Ethics,” high vs. low), measured as their assessment of the ethicalness of key earnings management motivations. We find that incentive conflict and EM-Ethics interact to determine CFOs’ discretionary accruals such that (a) in the presence of incentive conflict, CFOs with low (high) EM-Ethics tend to give into (resist) the personal incentive by booking higher (lower) expense accruals; and (b) in the absence of an incentive conflict, CFOs with low (high) EM-Ethics tend to give into (resist) the corporate incentive by booking lower (higher) expense accruals. We also find support for a mediated-moderation model in which CFOs’ level of EM-Ethics influences their moral disengagement tendencies which, in turn, differentially affect their discretionary accruals, depending on the presence or absence of incentive conflict. Theoretical and practical implications of these findings are discussed.
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Notes
Fixed bonuses are often called “retention” or “stay” bonuses which are used as an incentive to retain key employees (e.g., Phadnis 2013; Scholtes 2009; Smith and Pleven 2009; Lublin 2013). Such bonuses have become increasingly popular (Klaff 2003) with, for example, Yahoo and Starbuck CEOs receiving millions of dollars of such bonuses in recent years (Isidore 2013; Smith 2012).
Bandura (1999) posits that the following eight cognitive mechanisms facilitate unethical behavior: moral justification (reframing unethical acts as being in support of the greater good—e.g., redefining the morality of killing to justify military action), euphemistic labeling (using sanitized language to rename harmful actions and make them appear more benign—e.g., fired employees described as being given a “career alternative enhancement”), advantageous comparison (contrasting the behavior under examination with more reprehensible behavior to make the former seem innocuous—e.g., “The Vietnam war saved the populace from communist enslavement”), displacement of responsibility (attribution of personal responsibility to authority figure[s]—e.g., Nazi prison guards claiming they were just carrying out orders), diffusion of responsibility (attribution of personal responsibility across members of a group—e.g., requiring a group decision to get otherwise considerate people to behave unethically), distortion of consequences (minimizing the seriousness of the effects on one’s actions—e.g., moving a person far away from destructive results to weaken the potential injurious effects on that person), dehumanization (framing the victims of one’s actions as undeserving of basic human consideration—e.g., during wartime, nations casting their enemies as “demons” or “beasts”), and attribution of blame (assigning responsibility to the victims themselves—e.g., computer hackers explaining that they are forced to hack into government databases because of a villainous government).
We mailed instruments to 1,500 individuals identified by the American Institute of Certified Public Accountants as CFOs/financial officers. We received replies from 113 individuals, and 24 were returned as undeliverable. The resulting response rate is 7.66 % (113 responses divided by 1,476 delivered). This response rate is consistent with prior studies involving CFO participants; for instance, Brav et al. 2008 report a 5.3 % rate; Graham and Harvey 2001, p. 191 report a “nearly 9.0 %” rate; and Graham et al. 2005 report an 8.4 % response rate for their unsolicited survey sample. There were 25 unusable responses: sixteen instruments were completed by inappropriately classified individuals such as staff accountants, clerks, and tax accountants (our conclusions remain the same with or without these individuals), and nine were returned with no response on the dependent variable. Thus, 88 usable responses remained. Five of these respondents were excluded in creating one of our main variables of interest. We discuss this process in more detail below. In addition, comparisons of early and late responders indicate no significant differences, suggesting that nonresponse bias does not drive our results.
Background variables (e.g., familiarity with recording expense accruals, current or prior experience working at a publicly traded company, and years of professional work experience) are not significantly different between conditions. In addition, when we include these variables in our analyses, they are neither significant nor do they alter the conclusions we draw.
The purpose of incorporating a variable bonus into an employment contract is to provide a risk-sharing element between the employer and employee, as well as to increase motivation for the employee to put forth maximum effort (Demski and Feltham 1978; Harris and Raviv 1979). Alternatively, incorporating a fixed bonus into an employment contract provides the employee with relief from assuming the risk for uncontrollable events that may impact the firm’s financial performance. Additionally, s/he will not incur any explicit personal cost for decisions made based on their financial statement impact. Use of a fixed bonus also shifts the agent’s focus from achieving financial targets (i.e., “risk-sharing”) to fulfilling tenure-based targets (i.e., there is a personal cost to the agent of leaving the firm before fixed bonuses are paid).
The Cronbach alpha value exceeds the standard for satisfactory scale reliability (i.e., .70; see Kline 1999; Nunnally and Bernstein 1994). To provide further evidence of our scale’s reliability, we conducted several inter-item correlational analyses (untabulated). All of the inter-item correlations are positive, with 89 % of the inter-item correlations significant at p < .005, 7 % significant at p < .05, and 4 % significant at p ≤ .10. Further, we assessed the split-half reliability of our scale by adopting an odd–even split of our scale, where the odd-numbered items form one score and the even-numbered items form another score (Davidshofer and Murphy 2005). These two scores show a positive correlation of .933 (p = .0001), providing additional support for the reliability of our scale. Finally, the correlations between each scale item and the total EM-Ethics score (i.e., the item-total correlations) are all positive, significant, and above the .30 internal consistency threshold recommended by Nunnally and Bernstein (1994).
Consistent with prior research in accounting (Boylan and Sprinkle 2001) and psychology (Ruwaard et al. 2012; Hutton et al. 2013), we performed our analyses using the ranks of the discretionary expense accrual observations as the dependent variable rather than the reported expense amounts because the reported expense amounts are not normally distributed (which violates one of the assumptions upon which ANOVA and regression are based). Specifically, the Shapiro–Wilk test for normality indicated that the reported expense amounts for each of the four conditions are not normally distributed (all p < .0001). Additionally, as shown in Table 1, the standard deviations of the reported expense amounts are quite high. Accordingly, an ANOVA conducted using a rank transformation of the reported expense amounts is likely to be more efficient (powerful) and theoretically more appropriate than an ANOVA conducted using the actual reported expense amounts (Conover and Iman 1982; Boylan and Sprinkle 2001). Analyses conducted using the actual reported expense amounts yield results that are qualitatively similar to those reported in the paper.
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Earnings Management Ethics (EM-Ethics) Construct A Items
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Beaudoin, C.A., Cianci, A.M. & Tsakumis, G.T. The Impact of CFOs’ Incentives and Earnings Management Ethics on their Financial Reporting Decisions: The Mediating Role of Moral Disengagement. J Bus Ethics 128, 505–518 (2015). https://doi.org/10.1007/s10551-014-2107-x
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DOI: https://doi.org/10.1007/s10551-014-2107-x