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The purpose of this paper is to illustrate how the Wirecard scandal has highlighted the need for further reforms in Germany and Europe, exposing institutional and market oversight weaknesses, particularly in terms of market integrity and investor protection.

To provide a comprehensive picture of the situation, this paper is based only on relevant studies, which focus on the topic of interest, namely, the context of the Wirecard collapse in June 2020. It also examines how internal and external governance and monitoring mechanisms failed to uncover major fraud within the German payments group earlier.

This study shows that this is by no means an isolated or unpredictable incident, and the allegations of accounting fraud had been known for several years, thanks to warnings from the Financial Times. In addition, the paper reviews the serious shortcomings revealed in the Wambach report. The report provided private details of the Wirecard audit and documents on the relationship between Wirecard management and the auditor. All of this can serve as a reference point for institutional and market oversight architecture in Germany and Europe and pave the way for future research.

The paper contributes to the literature by highlighting the implications of the Wirecard scandal and the lessons that can be learned from what was one of Germany’s biggest corporate scandals especially at a time when many are already affected by the impact of COVID-19 on the entire financial services industry.

Generative pretrained transformers (GPTs), soaring to one million users at lightning speed, outpaced social media giants (15 times faster) (Buchholz, 2023). Despite this, scant research explored GPT’s impact on the digital entrepreneurial intentions (EIs) of students and tech-savvy generations. This study aims to pioneer a fusion of the technology acceptance model (TAM) and the theory of planned behavior (TPB), bridging the gap in research.

In this bold quantitative quest, business administration students became fearless participants, engaging in a survey of profound significance. Guided by the mighty powers of G*Power and Stata’s structural equation modeling builder, the intricate relationships within a robust sample of (n = 400) were unraveled.

The mediating power of GPT usefulness and GPT ease of use part of the TAM emerges, paving the way for a future brimming with digital entrepreneurship (DE) boundless possibilities. Predictably, the study found that TPB constructs also affect the EI of students.

This groundbreaking study brings together the powerful combination of TAM and TPB, while pioneering the exploration of GPT models’ mediating role. Its findings offer invaluable contributions to the field of DE and policymakers.