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The Influence of a Family Business Climate and CEO–CFO Relationship Quality on Misreporting Conduct

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Abstract

This study answers Vazquez’s (J Bus Ethics 150(3):691–709, 2016) call for more research focused on the intersection between family firms and business ethics. We investigate two contextual factors potentially affecting the ethical reporting of chief financial officers (CFOs): a firm’s social ties to the controlling family and the CFOs’ perceived relationship quality with the CEO. We test our hypotheses by examining the financial reporting behavior of Chinese CFOs who work at (1) family or nonfamily businesses and in (2) private or public firms. Results of this study advance our understanding of social and contextual factors that may compromise CFOs' reporting behavior in family firms (Suh et al., J Bus Ethics, 2018, https://doi.org/10.1007/s10551-018-3982-3).  This research also suggests that failure to distinguish between public and private companies may bias the results of studies that examine family firms.

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Notes

  1. In a similar vein, Prencipe et al. (2014) draw upon the relatively scarce judgment and decision-making (JDM) research in the family firm literature to highlight the need to better understand “accounting phenomena” within private family enterprises.

  2. Utilizing Chinese firms also enables this research to avoid the North American sampling bias present in much of the family business literature (Labelle et al. 2018).

  3. Earnings quality is measured by evaluating “the informativeness of reported earnings, the level of disclosure, and the degree of compliance with accepted accounting standards” (Salvato and Moores 2010, p. 196). Accounting-based earnings attributes are accrual quality, persistence, predictability, and smoothness; market-based earnings attributes are value relevance, timeliness, and conservatism (Francis et al. 2004).

  4. The seven countries are Hong Kong, Indonesia, Malaysia, Singapore, South Korea, Taiwan, and Thailand. According to Leuz et al. (2003), Indonesia, South Korea, Taiwan, and Thailand are identified with a low index of minority shareholder rights and a weak legal enforcement environment.

  5. Cultural-normative embeddedness is the fourth context that determines the nature of influence of a family on a business. It refers to “the ethical and religious beliefs of the family, their social consciousness, and their values as a social unit. And these in turn may relate to the society in which a family is embedded and the socialization of the family within that society” (Le Breton-Miller and Miller 2009, p. 1182). In this study, we do not discuss and examine the fourth context of social embeddedness because of the lack of empirical evidence on the influence of cultural-normative embeddedness on business stewardship behavior or agency behavior.

  6. According to the State Administration for Industry and Commerce (http://www.saic.gov.cn/), there are 7 million firms registered in China and 90% of these firms are family firms. Of the total population, only 2875 firms are listed on the Shang Hai and Shenzhen stock exchanges.

  7. There are no specific criteria that need to be met for a private company to be listed on Bloomberg. In general, private companies are listed on Bloomberg if they appear frequently in the news and/or report more than 500 M in revenue per year.

  8. Our response rate of 9.5% falls close to those reported by prior studies surveying financial executives. For example, Indjejikian and Matĕjka (2009) obtained a response rate of 6.8%, Graham and Harvey (2001) 9%, Graham et al. (2005) 10%, Graham et al. (2013) 11%, Trahan and Gitman (1995) 12%, and Brav et al. (2005) 16%. These studies employed online surveys or paper-based surveys at a conference or forum with limited time. In our study, on the other hand, one of the authors administered the paper-based survey instrument, including the case material (of earnings management), to each participating CFO in a private setting, allowing them to spend enough time to analyze the earnings management case and respond to questions.

  9. The average participating CFO’s age is similar to the demographic data of Chinese CFOs reported by Liu et al. (2016). The authors used the Chinese Securities Market and Accounting Research databases from 1999 to 2011 and found that male CFOs are, on average, 42.6 years old, and have 2.94 years of tenure (female CFOs are, on average, 44.2 years old and have 2.85 years of tenure). Compared to the participating CFOs’ demographic data, the average U.S. CFOs-age and -tenure are 53 years and 5.1 years, respectively (http://www.kornferry.com/press/age-and-tenure-in-the-c-suite-korn-ferry-institute-study-reveals-trends-by-title-and-industry/).

  10. From 2010 to 2015, the mean and median revenues for Compustat North America companies ranged from $3045 to $3311 million US dollars and from $129 to 147 million US dollars, respectively.

  11. A one-way ANOVA reveals that the mean of Tenure (F = 0.26, p = 0.85) and Age (F = 0.29, p = 0.84) do not differ significantly across the four contexts for private firms. Results of a \(\chi^{2}\) test indicate that Accounting Expertise (\(\chi^{2}\) = 1.22, p = 0.75) and Promotion (\(\chi^{2}\) = 4.43, p = 0.62) do not differ significantly across the four contexts for private firms.

  12. A one-way ANOVA reveals that the mean of Tenure (F = 1.75, p = 0.17) and Age (F = 0.49, p = 0.69) do not differ significantly across the four contexts for public firms. Results of a Chi-square test indicate that Accounting Expertise (\(\chi^{2}\) = 0.37, p = 0.95) and Promotion (\(\chi^{2}\) = 0.35, p = 0.95) do not differ significantly across the four contexts for public firms.

  13. Un-tabulated results of a one-way ANOVA reveal insignificant differences in the average sales revenue (F = 0.22, p = 0.88), the average number of operating segments (F = 0.44, p = 0.73), the average debt-to-assets (F = 1.89, p = 0.15) and the average ratio of short-term debt to total assets (F = 0.38, p = 0.77) across the four contexts for private firms. Un-tabulated results of a one-way ANOVA reveal significant differences in the average sales revenue (F = 2.54, p = 0.07) and the average number of operating segments (F = 4.01, p = 0.02) but insignificant differences in the average debt-to-assets (F = 0.32, p = 0.82) and the average ratio of short-term debt to total assets (F = 0.09, p = 0.97) across the four contexts for public firms.

  14. CFOs’ compensation information (salary, stock options, and bonus) is not included in the firm information due to the participating CFOs’ refusal to provide this information.

  15. See Peabody et al. (2000) for a validation study of vignette-based surveys.

  16. We created an initial survey instrument using a vignette or case material obtained from Brown (2014) and pretested in China with a group of accountants. Based on the pretest results and feedback from a number of academics and practitioners, we modified the final survey instrument to reduce ambiguity and improve clarity. The pretest participants were not included in the final sample.

  17. Rather than designing a reporting task specific to each firm, we opted to use an identical task of earnings management that Chinese CFOs would be familiar with given their past or present experience in financial reporting. All participants indicated that expense recognition is important for their company.

  18. The annual bonus rate (i.e., 50% of yearly salary) used in an earnings management case of Brown (2014) matches with the average annual bonus rate of corporate CFOs or CEOs reported in prior research (e.g., Indjejikian and Matĕjka 2009).

  19. We also used participants’ responses concerning the firm description to validate the two independent variables through investment companies.

  20. A confirmatory factor analysis was conducted on the items to test dimensionality using an OBLIQUE rotation for Eigen values greater than 1.0. The use of the factor analysis was supported by the Kaiser–Meyer–Olken (KMO) measure of sample adequacy, which was in the meritorious (> 0.8) range (KMO = 0.808) (Hutcheson & Sofronious, 1999), and Bartlett’s test of sphericity, which was significant (p < 0.001). All factor loadings were > 0.70.

  21. Neither logistic regression nor MANOVA is an appropriate analysis for hypothesis testing because (1) the former is used when the dependent variable is a categorical variable and the independent variables are both continuous and categorical, and (2) the latter is used when there are two or more continuous dependent variables and the independent variable(s) is(are) categorical variables (Allison 2012; Field 2009; Hair et al. 2006).

  22. The coefficient of the Family Firm variable is still negative and significant (p  =  0.079) even if we run the regression model without the interaction term.

  23. We excluded the interaction terms between the social embeddedness variables and the Relationship Quality variable from the regression model (Table 4) because of their insignificant effects on the CFOs’ Reporting Decision (p  ≥  0.629). The coefficient of Family Executives variable is still negative and significant (one-tailed p  =  0.076) with the interactions terms, after controlling for the CEO FR Oversight variable (p = 0.047).

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Funding

This research has been partially funded through the research center of Renmin University of China (No. 16XNF020) and the National Natural Science Foundation of China (NSFC-71902181).

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Correspondence to Ikseon Suh.

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We appreciate the insightful comments of Kimberly Charron, Jane Jollineau, Erin Hamilton, William Messier, Robyn Raschke, Jason Smith, Aaron Saiewitz, Hun-Tong Tan, and Jixun Zhang.

Appendix I

Appendix I

All questions are answered on a scale from − 3 to + 3, anchored by “Strongly Disagree” and “Strongly Agree.”

  1. 1.

    The CEO would be a lot of fun to work with.

  2. 2.

    I like the CEO as a person.

  3. 3.

    The CEO is the kind of person I would like to have as a friend.

  4. 4.

    The CEO would come to my defense if I were “attacked” by others.

  5. 5.

    The CEO would defend me to others in the organization if I made an honest mistake.

  6. 6.

    The CEO would defend my work actions to the board members, even without complete knowledge of the issue in question.

  7. 7.

    I would not mind working my hardest for the CEO.

  8. 8.

    I would be willing to do work for the CEO that goes beyond what is specified as my task.

  9. 9.

    I would be willing to apply extra efforts, beyond those normally requested, to meet the CEO’s work goals.

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Gao, J., Masli, A., Suh, I. et al. The Influence of a Family Business Climate and CEO–CFO Relationship Quality on Misreporting Conduct. J Bus Ethics 171, 99–122 (2021). https://doi.org/10.1007/s10551-019-04253-1

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