This study examines whether management’s corporate social responsibility (CSR) motives and CSR assurance influence jurors’ negligence and punitive damages assessments using a 2 × 2 experiment. CSR activities can provide insurance-like protection from negative reactions during a corporate crisis if stakeholders perceive altruistic motives. However, it is not known whether this insurance-like protection applies during litigation. Findings suggest that disclosure of altruistic CSR activities (i.e., without expectation of financial returns) improves jurors’ affective response to the defendant and perceptions of company behavior prior to a negative event compared to self-serving CSR activities (i.e., expectation of financial returns), which reduce negligence and punitive damages assessments. However, when disclosures are assured, the relationship changes. In this scenario, altruistic and self-serving CSR have similar influences on jurors’ judgments. Overall, results suggest that CSR disclosure and assurance may provide benefits during litigation by increasing jurors’ affective reaction to the defendant and perceptions of the company’s behavior.

Godfrey (2005) asserts that corporate social responsibility (CSR) activities can provide insurance-like benefits during a corporate crisis by generating positive moral capital among stakeholders. Prior literature supports this argument, as CSR information reduces adverse reaction following a negative event (e.g., foodborne illness and product-harm crisis) among consumers (e.g., Klein and Dawar 2004) and investors (e.g., Christensen 2016; Godfrey, Merrill, and Hansen 2009; Stuart, Bedard, and Clark 2021; Zahller, Arnold, and Roberts 2015). Unexplored is whether the insurance-like protection from CSR extends to the litigation setting. Jurors play a pivotal role in society by listening to case evidence, reconciling conflicting arguments, and processing unfamiliar language, before deciding on an appropriate verdict (Winter and Greene 2007). Importantly, the juror decision-making context is distinct from other stakeholders since there is no economic transaction between jurors and the company, limiting the incentive for self-interested behavior.

CSR disclosure can communicate management’s CSR motives based on the type of CSR activities implemented. Management can focus on altruistic activities (i.e., benefit society without the expectation of financial returns) or self-serving activities (i.e., benefit society with the expectation of financial returns).1 This distinction is important when examining stakeholder reactions to CSR information since perceptions of corporate CSR motives are an important predictor of response (e.g., Du, Bhattacharya, and Sen 2010; Ellen, Webb, and Mohr 2006; Groza, Pronschinske, and Walker 2011; Klein and Dawar 2004). Accordingly, this study examines whether the insurance-like protection from CSR disclosures extends to the litigation setting and considers management’s motives in analyzing the effects of CSR disclosure on jurors’ negligence and punitive damages assessments. It also investigates the impact of assurance on these relationships.

In considering how jurors process blame, the Culpable Control Model (CCM) (Alicke 2000) suggests that jurors’ evaluations of negligence are influenced by their direct spontaneous reaction not only to the case details but also to the perceived personal control the defendant had over the negative event. Furthermore, the CCM theorizes that jurors’ affective response to the defendant can influence perceived personal control.2 Jurors with a favorable affective response to the defendant decrease perceptions of control by prioritizing exculpatory details of the case (Alicke 2000). In summary, the CCM suggests that jurors’ affective reaction to the defendant will indirectly influence negligence assessments through perceived personal control.

In this study, the CSR disclosure is unrelated to the negative event and is therefore unlikely to influence perceptions of control. Therefore, I rely on an affect-as-information theory that suggests that people use affective reactions as information when making subsequent decisions (Schwarz and Clore 1983). CSR information has been found to evoke affective reactions in investors (e.g., Elliott, Jackson, Peecher, and White 2014), and I expect the disclosure of altruistic CSR motives will have a similar influence in the litigation setting and generate favorable affective reactions toward the defendant. Consistent with affect-as-information theory, I expect jurors will use the positive affective reactions toward the defendant as relevant information when assessing blameworthiness of the defendant (Kadous 2001), which will reduce jurors’ negligence assessments.

H1: CSR disclosure stating altruistic (versus self-serving) CSR motives will increase jurors’ affective reactions to the defendant and reduce negligence assessments.

Damages assessments are influenced by factors distinct from the determinants of negligence (e.g., Greene, Johns, and Smith 2001; Kadous 2000; Lowe, Reckers, and Whitecotton 2002; Reffett 2010). Punitive damages are assessed to punish the defendant’s actions and to deter the behavior from happening again (Greene and Bornstein 2000).3 Therefore, jurors are likely to search for signals about the company’s behavior before the negative event when determining punitive damages (Cass, Levett, and Kovera 2010; Cather, Greene, and Durham 1996). Perceptions of good company behavior should decrease the level of punitive damages since jurors will desire to punish the defendant less. This is consistent with the legal principle of mens rea, or the state of mind behind the company’s behavior (i.e., “bad” actors are punished more severely for bad deeds than “good” actors) (Christensen 2016; Godfrey et al. 2009).

In this study, the disclosure of long-standing CSR activities is expected to provide jurors with information about company behavior. CSR can create a halo effect among stakeholders even when CSR activities are unrelated to the negative event (e.g., Godfrey et al. 2009; Klein and Dawar 2004; Stuart et al. 2021).4 Similarly, I expect altruistic CSR motives will increase perceptions of the company’s behavior (i.e., they are a “good” actor) prior to the negative event and in turn reduce punitive damages.

H2: CSR disclosure stating altruistic (versus self-serving) CSR motives will increase jurors’ perception of the company’s behavior prior to the negative event and reduce punitive damages.

The credibility of information presented to jurors is important during litigation (Grenier, Lowe, Reffett, and Warne 2015a). Prior literature suggests that CSR initiatives and disclosures are pursued out of self-interest in an attempt to manage organizational legitimacy (e.g., Campbell, Craven, and Shrives 2003; Cho and Patten 2007). Therefore, jurors could judge the disclosure of altruistic CSR motives as less credible if perceived only as an attempt to improve the company’s image rather than a genuine commitment to CSR. In this case, assurance could improve the credibility of the disclosure (e.g., Brown-Liburd and Zamora 2015; Cheng, Green, and Ko 2015; Pflugrath, Roebuck, and Simnett 2011). However, in the negative event setting, CSR assurance can also signal altruistic motives and improve perceptions of the company’s underlying ethical culture (Stuart et al. 2021). In this case, assurance could allow the disclosure of self-serving CSR activities to offer the same insurance-like protection as altruistic activities. Together, I expect CSR assurance to moderate the mediating relationships predicted in H1 and H2 by improving jurors’ affective reaction to the defendant and perceptions of company behavior when disclosure contains self-serving motives.

H3a: CSR assurance will moderate the effect of self-serving CSR motives on jurors’ affective reaction to the defendant.

H3b: CSR assurance will moderate the effect of self-serving CSR motives on jurors’ perception of the defendant’s behavior.

In total, 182 participants were solicited from Amazon Mechanical Turk (MTurk) after passing screening criteria, consistent with juror eligibility and appropriate representation of a cross-section of the population.5 Participants are 55 percent male and 74 percent between the ages of 25 and 44. Eighty-one percent have never served on a jury, 38 percent have a high school diploma, 17 (35) percent have associate’s (bachelor’s) degree, and 10 percent hold graduate degrees.6

The experimental task involves a foodborne illness lawsuit brought against XYZ, Inc. after a nationwide recall of its products. Participants receive background information about the company before random assignment to treatment groups. Next, participants read a transcript of the lawsuit where consumers are suing XYZ, Inc. after allegedly suffering sickness from using XYZ’s product. The plaintiffs claim XYZ, Inc. was negligent by not following food safety protocols. The transcript provides participants with opening and closing statements, expert testimony, and juror instructions. As part of XYZ’s closing statements, participants are given excerpts from the XYZ’s most recent CSR report, where the manipulations are included. Participants are then asked to make negligence assessments and answer additional questions to capture factors influencing juror decision-making. Participants who deem XYZ negligent continue on to make damages assessments.

Participants are provided with an excerpt of the company’s CSR report detailing the company’s investments in sustainable energy upgrades and reduction of pollution and waste in its production process. In the altruistic setting, the case explicitly states that the activities are undertaken by the company without anticipation of any financial benefit. In the self-serving setting, the case explicitly states that the activities are expected to contribute to positive future financial performance.7

The assurance-present treatment includes a statement that XYZ, Inc. engaged an independent assurer who concluded all information was fairly reported, while in the assurance-absent treatment participants are informed that XYZ Inc. did not engage an independent assurer.8

Consistent with prior research (e.g., Backof 2015; Brasel, Doxey, Grenier, and Reffett 2016; Maksymov and Nelson 2017), I measure jurors’ assessments of negligence by asking participants to estimate the likelihood that XYZ, Inc. was negligent using a 101-point scale (0 = not at all likely, 100 = extremely likely) and to provide a dichotomous measure (0 = not negligent, 1 = negligent). I measure the affective reaction to the defendant by asking participants to rate their impression of the company (0 = very unfavorable, 10 = very favorable) (Backof 2015).

Compensatory damages are measured between $0 and $10 million. Punitive damages are captured using an 11-point scale (0 = no punitive damages, 10 = ten times the compensatory damages) (Lee and Sweeney 2015). Also, participants rate their perceptions of the company’s behavior leading up to the negative event on an 11-point scale (0 = very bad, 10 = very good).

I test the study’s predictions using conditional process analysis (Hayes 2018; Preacher and Hayes 2004). Table 1 displays summary statistics for the dependent and mediating variables, and Table 2 displays the means of the mediating variables by treatment group.

TABLE 1

Descriptive Statistics

Number of ObservationsMeanMedianStd. Dev.MinMax
Negligence Assessment 
NEGLIGENCE 182 50.33 50.00 30.45 0.00 100.00 
CONTROLLABILITY 182 −0.04 −0.21 0.92 −1.33 2.34 
AFFECT_DEF 182 5.60 5.00 2.17 0.00 10.00 
REACTION_CASE 182 −0.80 0.00 2.55 −9.00 8.00 
Damages Assessments 
PUNITIVE 83 2.83 2.00 2.32 0.00 10.00 
COMPENSATORY 83 7.17 7.55 2.41 0.11 10.00 
BEHAVIOR 83 5.78 5.00 2.18 1.00 10.00 
Number of ObservationsMeanMedianStd. Dev.MinMax
Negligence Assessment 
NEGLIGENCE 182 50.33 50.00 30.45 0.00 100.00 
CONTROLLABILITY 182 −0.04 −0.21 0.92 −1.33 2.34 
AFFECT_DEF 182 5.60 5.00 2.17 0.00 10.00 
REACTION_CASE 182 −0.80 0.00 2.55 −9.00 8.00 
Damages Assessments 
PUNITIVE 83 2.83 2.00 2.32 0.00 10.00 
COMPENSATORY 83 7.17 7.55 2.41 0.11 10.00 
BEHAVIOR 83 5.78 5.00 2.18 1.00 10.00 

Table 1 displays the dependent, mediating, and control variables used in the analysis. Variable Definitions:

NEGLIGENCE = measures participants' perceptions of the likelihood that the defendant was negligent on a 0 (not at all likely) to 100 (extremely likely) scale;

CONTROLLABILITY= measures participants' perceptions of the defendant's control over the negative event. Consistent with prior research, participants' perceptions of causation, foreseeability, and intentionality load on a single factor (eigenvalue = 1.249);

AFFECT_DEF = measures participants' affective reaction to the defendant on a 0 (very unfavorable) to 10 (very favorable) scale;

REACTION_CASE = calculated by subtracting participants' feelings toward the plaintiffs from their feelings toward the defendant. Both are measured on a 0 (very strong negative feelings) to 10 (very strong positive feelings) scale;

PUNITIVE = measures participants' punitive damages assessment on a 0 to 10 (times compensatory damages) scale;

COMPENSATORY = measures participants' compensatory damages assessment on a $0 to $10 million scale;

BEHAVIOR = measures participants' perceptions of the behavior of the defendant leading up to the negative event on a 0 (very bad) to 10 (very good) scale;

ALTRUISTIC = 1 if management's CSR motives is no expectation of future financial returns; = 0 if there is expectation of future financial returns, benefits to society are held constant; and

CSR_ASSURANCE = 1 if CSR disclosures are independently assured; 0 otherwise.

TABLE 2

Descriptive Statistics of Mediating Variables by Treatment Group

Panel A: AFFECT_DEF
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 4.94 6.22 5.51 
(2.26) (1.94) (2.21) 
50 40 90 
Present 5.67 5.72 5.70 
(2.13) (2.17) (2.14) 
45 47 92 
Overall 5.28 5.95 5.60 
(2.22) (2.07) (2.17) 
95 87 182 
Panel A: AFFECT_DEF
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 4.94 6.22 5.51 
(2.26) (1.94) (2.21) 
50 40 90 
Present 5.67 5.72 5.70 
(2.13) (2.17) (2.14) 
45 47 92 
Overall 5.28 5.95 5.60 
(2.22) (2.07) (2.17) 
95 87 182 
Panel B: BEHAVIOR
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 5.00 6.22 5.51 
(1.66) (2.18) (1.97) 
25 18 43 
Present 6.58 5.62 6.07 
(1.89) (2.71) (2.38) 
19 21 40 
Overall 5.68 5.90 5.78 
(1.91) (2.47) (2.18) 
44 39 83 
Panel B: BEHAVIOR
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 5.00 6.22 5.51 
(1.66) (2.18) (1.97) 
25 18 43 
Present 6.58 5.62 6.07 
(1.89) (2.71) (2.38) 
19 21 40 
Overall 5.68 5.90 5.78 
(1.91) (2.47) (2.18) 
44 39 83 

Table 2, Panel A displays the means, (standard deviation), and number of observations by treatment cell for jurors’ affective reaction toward the defendant (AFFECT_DEF). Panel B displays the means, (standard deviation), and number of observations by treatment cell for jurors’ perceptions of the company’s behavior prior to the negative event (BEHAVIOR). All variables are defined in Table 1.

Table 3, Panel A provides treatment means and Panel B reports the ANCOVA model that suggests CSR motives and assurance do not directly influence negligence assessments. Rather, jurors’ perception of the company’s control (p = 0.000) and positive affective reaction to the defendant (p = 0.001) significantly influence negligence judgments.9Table 4, Panel A reports the conditional process analysis regression results. Results show that the disclosure of altruistic CSR leads to a more positive affective reaction toward the defendant (β = 1.285; p = 0.003) and that the increased positive affective reaction toward the defendant decreases negligence assessments (β = −7.551; p < 0.001).10 Consistent with H1, the disclosure of altruistic (versus self-serving) CSR activities generates a more favorable affective response to the defendant, which reduces jurors’ negligence assessments.

TABLE 3

Descriptive Statistics and ANCOVA for Jurors’ Negligence Assessments

Panel A: Least Square Means, (Standard Error), Number of Observations
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 47.62 52.38 49.89 
(3.19) (3.55) (2.35) 
50 40 90 
Present 48.81 52.93 50.78 
(3.31) (3.23) (2.32) 
45 47 92 
Overall 48.22 52.66  
(2.29) (2.40)  
95 87  
Panel A: Least Square Means, (Standard Error), Number of Observations
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 47.62 52.38 49.89 
(3.19) (3.55) (2.35) 
50 40 90 
Present 48.81 52.93 50.78 
(3.31) (3.23) (2.32) 
45 47 92 
Overall 48.22 52.66  
(2.29) (2.40)  
95 87  
Panel B: Analysis of Covariance
SourceSum of SquaresdfMean SquareFp-value
CSR Motives 865.32 865.32 1.77 0.185 
CSR Assurance 33.52 33.52 0.07 0.794 
CSR Motives × CSR Assurance 4.4 4.4 0.01 0.925 
Covariates:      
CONTROLLABILITY 30,801.67 30,801.67 63.01 0.000 
AFFECT_DEF 16,414.38 16,414.38 33.58 0.000 
REACTION_CASE 466.46 466.46 0.95 0.330 
Error 85,552.01 175 488.87   
Panel B: Analysis of Covariance
SourceSum of SquaresdfMean SquareFp-value
CSR Motives 865.32 865.32 1.77 0.185 
CSR Assurance 33.52 33.52 0.07 0.794 
CSR Motives × CSR Assurance 4.4 4.4 0.01 0.925 
Covariates:      
CONTROLLABILITY 30,801.67 30,801.67 63.01 0.000 
AFFECT_DEF 16,414.38 16,414.38 33.58 0.000 
REACTION_CASE 466.46 466.46 0.95 0.330 
Error 85,552.01 175 488.87   

Table 3, Panel A reports the least square means, (standard error), and number of observations by treatment cell for jurors’ negligence assessments. Panel B reports the ANCOVA model, and the overall model is significant (F = 28.05, p < 0.001). All p-values are based on two-tailed tests. Variables are defined in Table 1.

TABLE 4

Regression Results: Moderated Mediation Models

Panel A: Negligence Assessments; Tests of H1 and H3a
(1)(2)
AFFECT_DEFNEGLIGENCE
VariableCoefficientCoefficient
(t-statistic)(t-statistic)
AFFECT_DEF  −7.551*** 
(−8.311) 
ALTRUISTIC 1.285*** 2.928 
(2.831) (0.521) 
CSR_ASSURANCE 0.727* −3.913 
(1.653) (−0.729) 
ALTRUISTIC × CSR_ASSURANCE −1.228** 2.032 
(−1.929) (0.261) 
Intercept 4.940*** 92.702*** 
(16.323) (15.992) 
Panel A: Negligence Assessments; Tests of H1 and H3a
(1)(2)
AFFECT_DEFNEGLIGENCE
VariableCoefficientCoefficient
(t-statistic)(t-statistic)
AFFECT_DEF  −7.551*** 
(−8.311) 
ALTRUISTIC 1.285*** 2.928 
(2.831) (0.521) 
CSR_ASSURANCE 0.727* −3.913 
(1.653) (−0.729) 
ALTRUISTIC × CSR_ASSURANCE −1.228** 2.032 
(−1.929) (0.261) 
Intercept 4.940*** 92.702*** 
(16.323) (15.992) 
Panel B: Negative Event Present; Tests of H2 and H3b
(1)(2)
BEHAVIORPUNITIVE
VariableCoefficientCoefficient
(t-statistic)(t-statistic)
BEHAVIOR  −0.344*** 
(−2.956) 
ALTRUISTIC 1.222** 0.348 
(1.856) (0.499) 
CSR_ASSURANCE 1.579*** 0.146 
(2.435) (0.210) 
ALTRUISTIC × CSR_ASSURANCE −2.182** −1.473 
(−2.314) (−1.459) 
Intercept 5.000*** 4.962*** 
(11.733) (6.788) 
Panel B: Negative Event Present; Tests of H2 and H3b
(1)(2)
BEHAVIORPUNITIVE
VariableCoefficientCoefficient
(t-statistic)(t-statistic)
BEHAVIOR  −0.344*** 
(−2.956) 
ALTRUISTIC 1.222** 0.348 
(1.856) (0.499) 
CSR_ASSURANCE 1.579*** 0.146 
(2.435) (0.210) 
ALTRUISTIC × CSR_ASSURANCE −2.182** −1.473 
(−2.314) (−1.459) 
Intercept 5.000*** 4.962*** 
(11.733) (6.788) 

*, **, *** Indicate p < 0.10, p < 0.05, and p < 0.01 levels, respectively. All p-values are reported as one-tailed. Table 4 presents the full OLS regression results of the conditional process analysis shown in Figures 1 and 2. All variables are defined in Table 1.

Table 5, Panel A provides treatment means and Panel B reports the ANCOVA model that suggests that CSR motives and assurance do not directly influence punitive damages. Rather, jurors’ compensatory damages assessments (p = 0.007) and perceptions of the company’s behavior prior to the negative event (p = 0.004) significantly influence punitive damages. Table 4, Panel B reports the conditional process analysis regression results. Results show that the disclosure of altruistic CSR activities increases jurors’ perceptions of the defendant’s behavior before the negative event (β = 1.222; p = 0.034) and that increased perceptions of behavior reduces punitive damages (β = −0.344; p = 0.002).11 Consistent with H2, CSR disclosure of altruistic (versus self-serving) activities indirectly reduces punitive damages by increasing perceptions of the defendant’s behavior.12

TABLE 5

Descriptive Statistics and ANCOVA for Jurors’ Punitive Damages Assessment

Panel A: Least Square Means, (Standard Error), Number of Observations
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 2.84 3.03 2.93 
(0.44) (0.51) (0.33) 
25 18 43 
Present 3.31 2.22 2.80 
(0.50) (0.47) (0.35) 
19 21 40 
Overall 3.07 2.64  
(0.32) (0.34)  
44 39  
Panel A: Least Square Means, (Standard Error), Number of Observations
CSR Motives
CSR AssuranceSelf-ServingAltruisticOverall
Absent 2.84 3.03 2.93 
(0.44) (0.51) (0.33) 
25 18 43 
Present 3.31 2.22 2.80 
(0.50) (0.47) (0.35) 
19 21 40 
Overall 3.07 2.64  
(0.32) (0.34)  
44 39  
Panel B: Analysis of Covariance
SourceSum of SquaresdfMean SquareFp-value
CSR Motives 4.16 4.16 0.93 0.339 
CSR Assurance 0.52 0.52 0.11 0.736 
CSR Motives × CSR Assurance 7.78 7.78 1.73 0.192 
Covariates:      
COMPENSATORY 34.74 34.74 7.75 0.007 
BEHAVIOR 39.68 39.68 8.85 0.004 
Error 345.25 77 4.48   
Panel B: Analysis of Covariance
SourceSum of SquaresdfMean SquareFp-value
CSR Motives 4.16 4.16 0.93 0.339 
CSR Assurance 0.52 0.52 0.11 0.736 
CSR Motives × CSR Assurance 7.78 7.78 1.73 0.192 
Covariates:      
COMPENSATORY 34.74 34.74 7.75 0.007 
BEHAVIOR 39.68 39.68 8.85 0.004 
Error 345.25 77 4.48   

Table 5, Panel A reports the least square means, (standard error), and number of observations by treatment cell for jurors’ punitive damages assessments. Panel B reports the ANCOVA model, and the overall model is significant (F = 4.30, p = 0.002). All p-values are based on two-tailed tests. Variables are defined in Table 1.

Figure 1 shows that the disclosure of altruistic (versus self-serving) CSR activities leads to a more positive affective reaction to the defendant when assurance is absent (β = 1.285; 90 percent confidence interval [CI90%], 0.534 to 2.036), but there is no difference in affective reactions to the defendant when assurance is present (β = 0.057; CI90%, −0.681 to 0.795). Conditional indirect effects show that the disclosure of altruistic CSR activities has a negative and significant influence on negligence when assurance is absent (CI90%, −19.703 to −1.248). However, when assurance is present, the benefit of altruistic (versus self-serving) activities is removed since the indirect effects are not significant (CI90%, −6.076 to 5.311). Together, results support H3a.

FIGURE 1

Conditional Process Analysis

***, **, * Denote statistical significance at the 1 percent, 5 percent, and 10 percent levels, respectively, in one-tailed tests.

Figure 1 tests report coefficients from conditional process analysis Model 8 (Hayes 2018) for negligence assessments. Statistical significance is from bootstrapped sampling distributions (10,000 bootstrap samples) reported at 90 percent confidence intervals. The index of moderated mediation tests whether the difference of the conditional indirect effects is statistically significant.

All variables are defined in Table 1.

FIGURE 1

Conditional Process Analysis

***, **, * Denote statistical significance at the 1 percent, 5 percent, and 10 percent levels, respectively, in one-tailed tests.

Figure 1 tests report coefficients from conditional process analysis Model 8 (Hayes 2018) for negligence assessments. Statistical significance is from bootstrapped sampling distributions (10,000 bootstrap samples) reported at 90 percent confidence intervals. The index of moderated mediation tests whether the difference of the conditional indirect effects is statistically significant.

All variables are defined in Table 1.

Close modal

Figure 2 shows that the disclosure of altruistic (versus self-serving) CSR activities leads to marginally greater perceptions of the defendant’s behavior before the negative event when assurance is absent (β = 1.222; CI90%, 0.126 to 2.319), but there is no difference when assurance is present (β = −0.960; CI90%, −2.083 to 0.163). Conditional indirect effects show that the disclosure of altruistic CSR has a negative and significant influence on punitive assessments when assurance is absent (CI90%, −0.900 to −0.060). However, when assurance is present, the benefit of altruistic (versus self-serving) activities is removed since the indirect effects are not significant (CI90%, −0.076 to 0.870). Together, results support H3b.

FIGURE 2

Conditional Process Analysis

***, **, * Denote statistical significance at the 1 percent, 5 percent, and 10 percent levels, respectively, in one-tailed tests.

Figure 2 reports coefficients from conditional process analysis Model 8 (Hayes 2018) for punitive damages assessments. Statistical significance is from bootstrapped sampling distributions (10,000 bootstrap samples) reported at 90 percent confidence intervals. The index of moderated mediation tests whether the difference of the conditional indirect effects is statistically significant.

All variables are defined in Table 1.

FIGURE 2

Conditional Process Analysis

***, **, * Denote statistical significance at the 1 percent, 5 percent, and 10 percent levels, respectively, in one-tailed tests.

Figure 2 reports coefficients from conditional process analysis Model 8 (Hayes 2018) for punitive damages assessments. Statistical significance is from bootstrapped sampling distributions (10,000 bootstrap samples) reported at 90 percent confidence intervals. The index of moderated mediation tests whether the difference of the conditional indirect effects is statistically significant.

All variables are defined in Table 1.

Close modal

The prediction for H3 is based upon assurance improving the credibility of the CSR disclosure and providing an additional altruistic signal about company management. Results from ANOVA analysis (not tabulated) suggest that assurance does both in the litigation setting. First, the independent variables interact to influence jurors’ perceptions of the believability of the disclosures (F = 3.83; p = 0.052).13 Follow-up simple effects show that jurors find the CSR disclosure more believable when assurance is present for both altruistic (7.06 versus 6.20; p = 0.097) and self-serving (7.67 versus 5.40; p < 0.001) disclosures, but the increase for self-serving is greater. Second, jurors appear to view assurance as an additional signal of altruistic motives when receiving self-serving disclosures (5.30 versus 4.20; p = 0.038) but not when receiving altruistic disclosures (6.10 versus 5.85; p = 0.646).14 Together, results suggest that assurance increases disclosure credibility but can also improve perceptions of company management by sending an altruistic signal when disclosing self-serving CSR motives.

Findings suggest that jurors reduce negligence and punitive damages assessments if they perceive altruistic CSR motives. However, CSR assurance also plays an important role during litigation by sending its own altruistic signal, providing companies the opportunity to pursue self-serving CSR activities and to receive similar insurance-like protection available from altruistic CSR activities.15 Currently, voluntary assurance rates are lower than disclosure rates (Blasco and King 2017), suggesting managers think the costs of assurance outweigh its benefits. However, audit firms building CSR lines of service and audit committees making the CSR assurance decision should consider the additional value of assurance in the litigation setting.

Alicke
,
M. D.
.
2000
.
Culpable control and the psychology of blame
.
Psychological Bulletin
126
(
4
):
556
574
.
Backof
,
A. G.
.
2015
.
The impact of audit evidence documentation on jurors' negligence verdicts and damage awards
.
The Accounting Review
90
(
6
):
2177
2204
.
Blasco
,
J. L.
, and
A.
King
.
2017
.
The Road Ahead: The KPMG Survey of Corporate Responsibility Reporting
.
Zurich, Switzerland
:
KPMG International
. http://www.home.kpmg/content/dam/kpmg/campaigns/csr/pdf/CSR_Reporting_2017.pdf (last accessed December 29, 2017).
Brasel
,
K.
,
M. M.
Doxey
,
J. H.
Grenier
, and
A.
Reffett
.
2016
.
Risk disclosure preceding negative outcomes: The effects of reporting critical audit matters on judgments of auditor liability
.
The Accounting Review
91
(
5
):
1345
1362
. https://doi.org/10.2308/accr-51380
Brown-Liburd
,
H.
, and
V. L.
Zamora
.
2015
.
The role of corporate social responsibility (CSR) assurance in investors' judgments when managerial pay is explicitly tied to CSR performance
.
Auditing: A Journal of Practice & Theory
34
(
1
):
75
96
.
Campbell
,
D.
,
B.
Craven
, and
P.
Shrives
.
2003
.
Voluntary social reporting in three FTSE sectors: A comment on perception and legitimacy
.
Accounting, Auditing & Accountability Journal
16
(
4
):
558
581
.
Cass
,
S. A.
,
L. M.
Levett
, and
M. B.
Kovera
.
2010
.
The effects of harassment severity and organizational behavior on damage awards in a hostile work environment sexual harassment case
.
Behavioral Sciences & the Law
28
(
3
):
303
321
. https://doi.org/10.1002/bsl.886
Cather
,
C.
,
E.
Greene
, and
R.
Durham
.
1996
.
Plaintiff injury and defendant reprehensibility: Implications for compensatory and punitive damage awards
.
Law and Human Behavior
20
(
2
):
189
205
.
Cheng
,
M.
,
W. J.
Green
, and
J. C. W.
Ko
.
2015
.
The impact of strategic relevance and assurance of sustainability indicators on investor's decisions
.
Auditing: A Journal of Practice & Theory
34
(
1
):
131
162
.
Cho
,
C. H.
, and
D. M.
Patten
.
2007
.
The role of environmental disclosures as tools of legitimacy: A research note
.
Accounting, Organizations and Society
32
(
7-8
):
639
647
.
Christensen
,
D. M.
.
2016
.
Corporate accountability reporting and high-profile misconduct
.
The Accounting Review
91
(
2
):
377
399
.
Du
,
S.
,
C. B.
Bhattacharya
, and
S.
Sen
.
2010
.
Maximizing business returns to corporate social responsibility (CSR): The role of CSR communication
.
International Journal of Management Reviews
12
(
1
):
8
19
.
Ellen
,
P. S.
,
D. J.
Webb
, and
L. A.
Mohr
.
2006
.
Building corporate associations: Consumer attributions for corporate socially responsible programs
.
Journal of the Academy of Marketing Science
34
(
2
):
147
157
.
Elliott
,
W. B.
,
K. E.
Jackson
,
M. E.
Peecher
, and
B. J.
White
.
2014
.
The unintended effect of corporate social responsibility performance on investors' estimates of fundamental value
.
The Accounting Review
89
(
1
):
275
302
.
Godfrey
,
P. C.
.
2005
.
The relationship between corporate philanthropy and shareholder wealth: A risk management perspective
.
Academy of Management Review
30
(
4
):
777
798
.
Godfrey
,
P. C.
,
C. B.
Merrill
, and
J. M.
Hansen
.
2009
.
The relationship between corporate social responsibility and shareholder value: An empirical test of the risk management hypothesis
.
Strategic Management Journal
30
(
4
):
425
445
.
Greene
,
E.
, and
B.
Bornstein
.
2000
.
Precious little guidance: Jury instruction on damage awards
.
Psychology, Public Policy, and Law
6
(
3
):
743
768
.
Greene
,
E.
,
M.
Johns
, and
A.
Smith
.
2001
.
The effects of defendant conduct on jury damage awards
.
Journal of Applied Psychology
86
(
2
):
228
237
.
Grenier
,
J. H.
,
D. J.
Lowe
,
A.
Reffett
, and
R. C.
Warne
.
2015a
.
The effects of independent expert recommendations on juror judgments of auditor negligence
.
Auditing: A Journal of Practice & Theory
34
(
4
):
157
170
.
Grenier
,
J. H.
,
B.
Pomeroy
, and
M. T.
Stern
.
2015b
.
The effects of accounting standard precision, auditor task expertise, and judgment frameworks on audit firm litigation exposure
.
Contemporary Accounting Research
32
(
1
):
336
357
.
Groza
,
M. D.
,
M. R.
Pronschinske
, and
M.
Walker
.
2011
.
Perceived organizational motives and consumer responses to proactive and reactive CSR
.
Journal of Business Ethics
102
(
4
):
639
652
.
Hayes
,
A. F.
.
2018
.
Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach
.
New York, NY
:
The Guilford Press
.
Kadous
,
K.
.
2000
.
The effects of audit quality and consequence severity on juror evaluations of auditor responsibility for plaintiff losses
.
The Accounting Review
75
(
3
):
327
341
.
Kadous
,
K.
.
2001
.
Improving jurors' evaluations of auditors in negligence cases
.
Contemporary Accounting Research
18
(
3
):
425
444
.
Klein
,
J.
, and
N.
Dawar
.
2004
.
Corporate social responsibility and consumers' attributions and brand evaluations in a product–harm crisis
.
International Journal of Research in Marketing
21
(
3
):
203
217
.
Koonce
,
L.
,
J.
Miller
, and
J.
Winchel
.
2015
.
The effects of norms on investor reactions to derivative use
.
Contemporary Accounting Research
32
(
4
):
1529
1554
.
Lee
,
W. E.
, and
J. T.
Sweeney
.
2015
.
Use of discretionary environmental accounting narratives to influence stakeholders: The case of jurors’ award assessments
.
Journal of Business Ethics
129
(
3
):
673
688
.
Lowe
,
D. J.
,
P. M.
Reckers
, and
S. M.
Whitecotton
.
2002
.
The effects of decision-aid use and reliability on jurors' evaluations of auditor liability
.
The Accounting Review
77
(
1
):
185
202
.
Maksymov
,
E. M.
, and
M. W.
Nelson
.
2017
.
Malleable standards of care required by jurors when assessing auditor negligence
.
The Accounting Review
92
(
1
):
165
181
.
Pflugrath
,
G.
,
P.
Roebuck
, and
R.
Simnett
.
2011
.
Impact of assurance and assurer's professional affiliation on financial analysts' assessment of credibility of corporate social responsibility information
.
Auditing: A Journal of Practice & Theory
30
(
3
):
239
254
.
Preacher
,
K. J.
, and
A. F.
Hayes
.
2004
.
SPSS and SAS procedures for estimating indirect effects in simple mediation models
.
Behavior Research Methods, Instruments, & Computers
36
(
4
):
717
731
.
Reffett
,
A. B.
.
2010
.
Can identifying and investigating fraud risks increase auditors' liability?
The Accounting Review
85
(
6
):
2145
2167
.
Schwarz
,
N.
, and
G.
Clore
.
1983
.
Mood, misattribution, and judgments of well-being: Informative and directive functions of affective states
.
Journal of Personality and Social Psychology
45
(
3
):
513
523
.
Stuart
,
A. C.
,
J. C.
Bedard
, and
C. E.
Clark
.
2021
.
Corporate social responsibility disclosures and investor judgments in difficult times: The role of ethical culture and assurance
.
Journal of Business Ethics
171
(
3
):
565
582
.
Thorndike
,
E. L.
.
1920
.
A constant error in psychological ratings
.
Journal of Applied Psychology
4
(
1
):
25
29
.
Vogel
,
D. J.
.
2005
.
Is there a market for virtue? The business case for corporate social responsibility
.
California Management Review
47
(
4
):
19
45
. https://doi.org/10.2307/41166315
Winter
,
R. J.
, and
E.
Greene
.
2007
.
Juror decision making
.
Handbook of Applied Cognition
2
:
739
762
. https://doi.org/10.1002/9780470713181.ch28
Zahller
,
K.
,
V.
Arnold
, and
R. W.
Roberts
.
2015
.
Using CSR disclosure quality to develop social resilience to exogenous shocks: a test of investor perceptions
.
Behavioral Research in Accounting
27
(
2
):
155
177
.
1

This distinction in CSR activity type is often referred to as “doing good to do good” versus “doing good to do well” (Vogel 2005).

2

Jurors’ perceptions of personal control are influenced by the following three intermediate judgments: causation, foreseeability and, intentionality. Causation refers to jurors’ perceptions of whether the negative event would have been averted or diminished if the defendant was not involved. Foreseeability refers to jurors’ perception on whether the negative event could have been anticipated. Intentionality refers to whether jurors perceive the defendant had a desire for the negative event to occur. The CCM asserts that jurors’ affective reaction to the defendant influences perceptions of causation, foreseeability, and intentions and therefore plays a role on their evaluations of negligence by influencing perceptions of personal control (Alicke 2000).

3

Following an environmental malfeasance, reactive environmental disclosures discussing the company’s future plans decrease jurors’ punitive assessments (Lee and Sweeney 2015). This suggests that if jurors perceive the company has taken steps to prevent a reoccurrence, they reduce their punitive damages assessments. Unlike disclosure of future plans, this study examines whether the disclosure of past CSR behavior can create a halo effect.

4

Halo effect is a cognitive bias where people have a “marked tendency to think of the person in general as rather good or rather inferior” (Thorndike 1920, 25). The halo effect created by CSR can spill over to affect other unrelated judgments (e.g., Klein and Dawar 2004).

5

Institutional Review Board (IRB) approval was obtained prior to collecting data. Participants were paid $2.00 upon completion of the task (e.g., Brasel et al. 2016; Grenier, Pomeroy, and Stern 2015b). I screened participant eligibility consistent with prior studies using MTurk participants as proxies for jurors (e.g., Brasel et al. 2016; Grenier et al. 2015b; Maksymov and Nelson 2017). Participants (1) are over 18 years of age, (2) are U.S. citizens, and (3) consider themselves proficient in the English language. Also, participants met the following additional criteria of being physically located in the United States and having MTurk approval rate of 95 percent or higher on at least 50 or more completed assignments (e.g., Koonce, Miller, and Winchel 2015).

6

The final sample comprises 182 participants with cell sizes ranging from 40 to 50, with 83 determining the company was negligent and provided damages assessments. To ensure demographic variables reported are evenly represented across the four experimental conditions, I performed Chi-square tests for categorical variables and ANOVA models with continuous variables as dependent variables. None of the categorical variables had significant Chi-square p-values, suggesting roughly equal counts in all conditions. Two continuous variables (years of investor experience; number of college-level finance classes) had significant coefficients but do not change the results and interpretations reported if included as covariates in the analysis. Three participants report experience as a lawyer or CPA. Reported results are consistent with results if these three participants are removed.

7

Both manipulations include identical cues to the importance of the CSR activities to the company (i.e., dollar amount invested during the most recent year, number of years participating in the cause and the total amount invested over all years of participation). The experimental materials asked three questions measuring participants’ perceptions of CSR motives following Groza et al. (2011), which load on a single factor (eigenvalue 2.543). Participants receiving the disclosure of altruistic (versus self-serving) CSR activities perceived a higher level of altruistic motives (0.18 versus −0.16; p < 0.01). Also, participants found it more likely that the company practices CSR to be a good corporate citizen (5.99 versus 4.73; p < 0.01) and less likely that the company practices CSR to improve future financial performance (5.48 versus 7.04; p < 0.01). Perceptions of CSR connected to being a good corporate citizen or future financial performance measured as 0 = highly unlikely, 10 = highly likely. This suggests that the manipulation was successful.

8

Consistent with expectations, jurors in the assurance-present (versus -absent) treatment perceived the disclosure as more believable (7.36 versus 5.76; p < 0.01).

9

An additional analysis suggests that CSR disclosure and assurance do not influence perceptions of control directly or through the three intermediate judgments, namely, causation, foreseeability, and intentionality, further supporting the importance of affective reactions in this scenario.

10

ANOVA analysis shows that the independent variables interact to influence jurors’ affective reaction to the defendant (F = 3.72; p = 0.055). Follow-up simple effects comparisons suggest that when assurance is absent, jurors’ affective reaction sto the defendant are significantly more positive when receiving disclosures of altruistic versus self-serving CSR activities (6.22 versus 4.94; p = 0.005). However, when assurance is present, jurors’ affective reactions to the defendant are not different (5.72 versus 5.67; p = 0.899). Also, when receiving disclosure of self-serving activities jurors’ affective reactions to the defendant are more positive when disclosures are assured versus not assured (5.67 versus 4.94; p = 0.099). Means are reported in Table 2, Panel A. Reported p-values are two-tailed.

11

ANOVA analysis shows that the independent variables interact to influence jurors’ perception of the company’s behavior prior to the negative event (F = 5.36; p = 0.023). Follow-up simple effects comparisons suggest that when assurance is absent, jurors’ perceptions of the company’s behavior are significantly higher when receiving disclosures of altruistic versus self-serving CSR activities (6.22 versus 5.00; p = 0.067). However, when assurance is present, jurors’ perceptions are not different (5.62 versus 6.58; p = 0.159). Furthermore, when receiving disclosure of self-serving activities, jurors’ perceptions of behavior are significantly higher when disclosures are assured versus not assured (6.58 versus 5.00; p = 0.017). Means are reported in Table 2, Panel B. Reported p-values are two-tailed.

12

I also performed conditional process analysis with compensatory damages as the outcome variable. However, CSR disclosure did not have a direct or indirect effect on the level of compensatory damages.

13

Participants rate how believable they find the CSR disclosures on an 11-point scale (0 = very doubtful, 10 = very believable).

14

Participants provide their opinion on the likeliness that CSR is conducted primarily to be a good corporate citizen on an 11-point scale (0 = highly unlikely, 10 = highly likely).

15

The study’s use of explicit statements to manipulate management’s altruistic or self-serving CSR motives and presence or absence of assurance are experimental choices that may limit the generalizability of the study’s results. Future research could examine the influence of purely altruistic activities (e.g., corporate philanthropy, donating sustainable equipment) on juror judgments and/or be silent on the omission of assurance.