Daniel Schaupp is an assistant professor of accounting at WHU - Otto Beisheim School of Management. His research interests include intra-organizational transparency, opportunistic behavior in organizations, performance evaluation and feedback. He concentrates on quantitative research projects in the field, surveys and archival data to apply various methods from multivariate regression analyses to natural language processing, topic modelling and qualitative comparative analysis (QCA). He is part of the institute of management accounting and control (IMC).
Dr. rer. pol. in Managerial Accounting, 2018
JMU Wurzburg
Visiting PhD student, 2017
University of Melbourne
MSc Business Management, 2014
JMU Wurzburg
Exchange student, 2010
Aberystwyth University
BSc Management & Economics, 2012
JMU Wurzburg
Responsibilities include:
Current Field Experiment with SME.
Current Field Project with Multinational Company.
This paper studies multi-rater performance evaluation and calibration. Specifically, we examine how supervisors use their discretion to weight multi-rater assessments and how calibration committees make decisions to adjust these employee performance evaluations. Using data from an e-commerce company, we document that supervisors use their discretion to weight multi-rater assessments consistent with the aim to improve the informativeness of employee performance evaluations by emphasizing (deemphasizing) ratings that are relatively more (less) informative. However, we find that these weighting efforts can be constrained by a high information load placed on the supervisor and supervisor bias. Furthermore, we document that calibration committees analyze the performance information provided and are less likely to adjust supervisors’ weighting decisions when the supervisor relied more strongly on more informative multi-raters’ assessments and when the supervisor provided more substantiated argumentation for their decision. We also find that the extent to which the calibration committee relies on different information sources depends on job type, and more focus is placed on those employee cases that are more suspect of supervisor bias.
In autonomous teams, formal decision-making responsibility is shared, paving the way for communication to play a prominent role. We conduct three experimental studies to examine the influence of communication on team members in the context of cost reporting decisions. The first and second experimental study show that communication among team members fulfills a critical role in driving team misreporting. They reveal statistical evidence for a dishonesty shift, where communication does not discipline relatively dishonest team members but assists them in infecting relatively honest team members instead. In our third experimental study, in which teams report directly to their firm’s owner, we find no statistical evidence of the dishonesty shift. Jointly, the findings of all three experimental studies suggest that the adverse role of communication on misreporting in autonomous teams hinges on relatively honest team members revising their perception of the social norm based on specific situational cues.
New digital technologies allow companies to provide managers with performance feedback in real-time. We provide evidence on the causal effects of real-time feedback on individual effort and decision quality by exploiting a natural quasi-experiment in the setting of professional soccer referees. Our results suggest that the effects of real-time feedback depend on agents’ experience. Specifically, we find that experienced agents decrease their effort under real-time feedback without harming the quality of their initial decisions. This results in better final decisions because real-time feedback allows agents to correct initially wrong decisions upon feedback. In contrast, less experienced agents increase their effort but make worse initial decisions and, utilizing corrective feedback, only manage to compensate for their increased number of initial mistakes but see no improvement in the quality of final decisions. Furthermore, we document that the effects of real-time feedback change over time as agents gain more experience under this system.
This paper investigates how narrative feedback affects employee performance. We use archival data from a European e-commerce firm to investigate the effects of the length, level of detail, and causal understanding facilitation of narrative feedback on performance improvement. We find that both higher levels of detail in feedback regarding strengths and more facilitation of causal understanding in feedback regarding weaknesses increase the likelihood of performance improvements. We also find a negative effect of inconsistent signals from ratings and narrative feedback. In additional analyses, we show differing effects for employees who receive positive or negative feedback surprises and differing effects on stronger and weaker areas of performance. Our findings contribute to the accounting literature on feedback by showing which aspects of narrative feedback can help improve future employee performance, thereby advancing our understanding of the types and characteristics that make feedback valuable.
The contemporary transparency narrative has recently evolved from a predominantly bright side of positive motivational influence to a more nuanced narrative integrating a potential dark side of transparency of demotivating threats to individual information privacy. Based on this more nuanced narrative, we try to provide a first empirical picture relying on an integrated model of direct and indirect psychological consequences of individual performance transparency. We propose a ‘bright’ path between transparency and psychological empowerment and a parallel ‘dark’ path through information privacy concerns. Using panel survey data of 401 employees of the finance function and structural equation modeling, we find that transparency has both a direct and indirect link to psychological empowerment. Taking a closer look at the dark path, we find that the link between transparency and information privacy concerns is moderated by core self-evaluation and relative performance information advantage. In contrast, we do not find a moderating effect of individual performance. With this study, we contribute a novel conceptual integration and first empirical examination of this duality of psychological consequences of transparency of individual performance. Additionally, we enrich the debate about potential moderating factors. Overall, we offer a more nuanced perspective on the value of transparency of individual performance in organizations.
This paper takes a fresh look at auditor independence for small and midsized audit prac-tices (SMPs) by analyzing a German sample of 1,052 firm-year observations between 2007 and 2014 about changes in earnings management (EM) behavior when client importance increases. In particular, we ask whether firms audited by SMPs use higher or lower accrual-based earnings management (AEM) around certain critical client importance thresholds and whether this involves a trade-off in real activities earnings management (REM). We compare two measures of client importance, (1) total sales from the client in relation to total sales of the audit firm from all (public interest entity (PIE) and non-PIE) clients and (2) non-audit sales in relation to total sales from the client. For measure (1), we find that clients below the threshold engage in less AEM and more REM as importance increases until reaching a threshold level of importance, at which point the relationship reverses. We do not find significant results for measure (2). Our results hold for de-facto office and partner level analysis, and we provide further reasoning for our results, thereby offering a new perspective on small and midsized auditors’ eligibility to perform PIE audits.
Accounting research has extensively debated the modelling of Earnings Management (EM) for all industries but the baking industry. We provide a first analysis of the validity, strengths and weaknesses of existing loan loss provisioning (LLP) models and develop an extensive framework for modelling components. We rely on US data from 2000-2018 and apply prevalent test procedures that examine the extent of measurement errors, extreme performance, omitted-variable biases and predictive power of each of the models. The results indicate that established modelling can be optimized with regard to measurement errors, omitted-variable biases and predictive power. In particular, we find that including net charge offs is less important while a non-performing loan component is indispensable. In addition, our results reveal that LLP models are less prone to measurement errors related to one-step vs. two-step modelling, while more advanced estimation approaches are not linked to better prediction power.
This study explores whether introducing transparency about relative performance information (RPI) can effectively increase performance of an important task that is not tied to financial incentives of the organization or employee. Therefore, we analyze proprietary data from a medical center, where a reporting tool with aggregated RPI about discharge letter process times is introduced. The process of creating discharge letters represents an important reporting task in a complex working environment. Controlling for patient- and treatment-related factors as well as ward and time specific fixed effects, we find that establishing RPI significantly improves performance by decreasing the average total process times by 59.7 %. This overall reduction in process times can be divided into the initial treatment effect (-23.9 %) and marginally decreasing reductions over time. We understand these performance improvements as a type of learning process caused by social comparison, which starts after the treatment and stabilizes at a high level. Our paper contributes by demonstrating the effectiveness of RPI in a complex work environment, while showing that performance increases are not only significant but also enduring.
Prior research on voluntary disclosures has long debated whether managers tend to withhold bad news. However, these studies have been conducted in settings in which, ex-ante, the trade-off between the potential benefits and the potential costs of withholding information is obscure. In this paper, we study voluntary disclosure choices using a context-rich setting of distressed firms in which potential benefits from withholding news (particularly bad news) are seemingly high, whereas the potential costs are seemingly low. Specifically, we focus on the question of how ‘going concern’ uncertainty affects management earnings forecasts in financially distressed firms. Our results suggest that as financial distress intensifies, there is a lower likelihood and frequency of management earnings forecasts, indicating that managers may be withholding news, particularly bad news, in distressed firm-years. For comparative purposes, we also present results for ‘safe’ firm-years and find that managers have a tendency to disclose bad news as the financial health of the firm worsens.
This paper examines whether firms that act socially responsible engage in different amounts of Earnings Management (EM). In particular, this study tries to disentangle the two main incentives incorporated into Corporate Social Responsibility (CSR) investments and analyses whether these entail diverse EM strategies in terms of accrual-based earnings management (AEM), real activities earnings management (REM), total EM and the trade-off relationship between AEM and REM. Furthermore, we consider the effect of corporate governance (CG) on EM strategies, particularly whether the respective CSR incentives moderate this relationship. For our European sample with 2,733 firm-years from the 2005-2014 period, the results show that EM strategies vary between intrinsic and reputational CSR incentives. For both incentives, we find that respective firms engage in lower AEM. However, high reputation firms use more total EM and trade off from AEM to REM at the expense of shareholder value, whereas intrinsic firms use less total EM and trade off vice versa. Additionally, we find that certain independence in the board limits opportunities to pursue AEM, whereas CSR incentives significantly moderate the outcome of effective monitoring. While both CSR incentives entail a lower use of AEM with increasing independence, high reputation firms again switch to higher REM and further trade off from AEM to REM. Altogether, the results indicate that firms with a high CSR orientation engage in different EM strategies, depending on their CSR incentives and thereby preserve or jeopardize shareholder value.