Welcome!
My name is Sebastian and I am an Assistant Professor in Accountancy from the University of Illinois Urbana-Champaign, Gies College of Business. You can find more information about me and my work on this site.
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My research examines how the formatting and complexity of firm disclosure influences users, preparers and auditors of financial statements in their judgment and decision making. While my research projects involve several agents, they all relate to fundamental topics in financial accounting and auditing, such as disclosure credibility, investor learning, earnings management and fraud detection. Using mostly economics based experimental methods, I capitalize on the comparative advantage of experiments at disentangling the effect of disclosure on investment decisions, measuring intervening processes and drawing strong causal inferences.
Check out the section on research projects for an overview of my work and find more information about me in my CV.


Sebastian Stirnkorb
Assistant Professor in Accountancy
University of Illinois Urbana-Champaign
Gies College of Business
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Email:
Address:
194 Wohlers Hall
1206 S Sixth Street
Champaign, IL 61820​
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EDUCATION
2016-2021
PhD in Accounting
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ROTTERDAM SCHOOL OF MANAGEMENT,
ERASMUS UNIVERSITY
PhD in Accounting and Control
Doctoral thesis:"Changes in the Information Landscape and Capital Market Communication"
2018
Research Visit
UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
Research visit from August to December 2018
Invited by Jessen Hobson
2013-2016
Master's Degree
HUMBOLDT UNIVERSITY, BERLIN
Master in Economics and Management Studies
Master thesis: "Behavioral Approaches to Information Acquisition and Avoidance"
RESEARCH PROJECTS
HOW INVESTOR STATUS AFFECTS JUDGMENTS OF MANAGEMENT CREDIBILITY: THE ROLE OF COMPANY IDENTIFICATION AND LOCUS OF ATTRIBUTION
with Erik Peek and Marcel van Rinsum. Contemporary Accounting Research (Forthcoming).
This study investigates the joint effects of investor status and locus of attribution on investors’ judgments of management credibility. We study these effects in the context of an adverse event disclosure. Building on social identity and ultimate attribution error theory, we predict and find that under external attribution, current investors perceive management as more credible than do prospective investors, while investor status does not affect perceived management credibility under internal attribution. We provide evidence supporting our theory that company identification explains these findings. In addition, we document that the differences in credibility are mainly driven by perceptions of management’s trustworthiness, rather than competence. Moreover, our results indicate that these differences in credibility judgments affect earnings expectations, thus inducing disagreement among investors. Our findings have important practical implications, including that company identification can be an asset to companies and that communicating adverse events with an external attribution reduces perceived management credibility for prospective investors.
COPING WITH CHANGING SKILL REQUIREMENTS: DOES (DIS)AFFIRMATION AFFECT AUDITORS' RELIANCE ON AI-SUPPORTED ADVICE FROM SPECIALISTS?
with Mark Peecher, Christian Pietsch, and Isaac Yamoah
The digital evolution in auditing has triggered a rapid shift in auditors’ required skill sets, with audit firms heavily investing in and extolling advanced data analytics and AI capabilities. However, this strong emphasis on newly required digital skills can lead many experienced auditors, who perceive these competencies as their weaker areas, to feel disaffirmed in their abilities. We predict and find, across two experiments, that auditors who feel disaffirmed in their digital skills more defensively discount specialist advice that places higher versus lower reliance on AI, but that an intervention in which auditors affirm their traditional audit skills mitigates this defensive reaction. Absent self-affirmation, higher specialist reliance on AI results in auditors denigrating the competence and the quality of advice that specialists provide. These findings suggest that disaffirmation escalates AI aversion, offering important insights into how audit firms can foster less defensive decision-making in the precipitously evolving audit environment.
