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The accounting profession has consistently called for educators to assist in developing accounting students' skills beyond technical knowledge. As a result, our institution has emphasized professional skills such as oral and written communication, teamwork, research, and time management alongside technical content. Yet, our students have had difficulty making the transition from school to work, that is, from backpack to briefcase. Specifically, they lacked a sense of professional identity and an awareness of the accounting profession's roles in business and society. To address this issue, we created a professional development program to transform students from uninformed freshmen to graduates who understand what it means to be an accounting professional. The chapter describes activities that encourage the development of a sense of professional purpose. Limited assessment of the innovation suggests increased student enthusiasm for the major as well as improved perceptions of professional success. The chapter also suggests means by which other accounting programs might reevaluate and revise their own activities to assist students as they transition to accounting professionals.

This study aims to examine declines in audit quality after the COVID-19 travel restrictions/stay-at-home orders were issued in the USA in early 2020.

Taking advantage of variation in the dates of stay-at-home orders issued by different US states, this study identifies engagements that were significantly affected by the lock down orders.

The results suggest that engagements affected by the restrictions produced lower audit quality, as measured through restatements and discretionary accruals, relative to those completed before COVID-19 travel restrictions/stay-at-home orders. Further analysis reveals that this decrease in audit quality was attributable to firms with high inventory relative to assets, high R&D expenses relative to assets and non-Big 4 auditors.

This study finds that the restrictions on physical and on-site interaction caused auditors to universally struggle with resource/judgment-intensive accounts such as inventory and R&D expenditures. The results suggest that while Big 4 auditors managed to maintain their status quo level of audit quality following COVID-19 restrictions, non-Big 4 auditors were unable to overcome the challenges of an online work environment and their audit quality declined.

To the best of the authors’ knowledge, this paper is the first to empirically examine changes in audit quality as a response to a substantial change in auditors’ working environment due to the global health crisis. As work-from-home becomes more prevalent in audit firms, the results suggest that, on average, this move does diminish audit quality.

This paper aims to investigate whether the managers’ emphasis on audit in the management’s discussion and analysis (MD&A) section of the 10-K filing, as part of the firm’s “tone at the top,” is linked to audit quality.

Adopting a computational linguistics approach, the authors measure the manager’s audit emphasis as the frequency of audit-related words in the MD&A. The authors then assess the relationship between audit emphasis and audit quality with ordinary least squares and probit regression models.

This study finds that the manager’s audit emphasis, proxied by the count of audit-related words, is positively associated with audit fees, audit delay, the appointment and retention of Big 4 and industry-specialist auditors, and the probability of switching to Big 4 auditors, while negatively linked to abnormal accruals and the possibility of financial misstatements.

The audit emphasis measure suffers from limitations. The computer program determining audit emphasis may misinterpret words in the MD&A. Researchers need to consider procedures to minimize misinterpretations.

Frequency of audit words in the MD&A reflects the firm’s aspiration for audit quality. Auditors, regulators and investors could ascertain such aspiration from past and current MD&As.

This study associates the manager’s emphasis on audit, measured with computational linguistics from the MD&A, with realized audit quality.