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This paper aims to examine how a firm’s exposure to economic policy uncertainty affects the auditors’ perceptions of financial reporting risk. Firms that are more sensitive to policy uncertainty are predicted to engage in more earnings management because these firms are more likely to experience greater uncertainty in future operations. Audit fees will reflect this reporting risk. On the other hand, auditors might feel more fee pressure from policy-sensitive firms because firms are more inclined to reduce spending in the face of uncertainty and subsequently charge lower fees.

The author tests my hypothesis using U.S. data on audit fees and client characteristics of public companies between the years 2001 and 2021. The author estimates a standard audit fee model based on the audit fee literature (Hay et al., 2006) while also including the two policy sensitivity measures. This study uses panel data methods that allow time-series analyses, providing a powerful setting to test dynamic audit fee adjustment to improve the understanding of the audit market.

The results suggest that audit fee is higher for policy-sensitive firms than for policy-neutral firms. These results are robust to various proxies of policy sensitivity and various specifications designed to mitigate the endogeneity concerns. The study provides assurance that on average, auditor pricing reflects client risk adequately, mitigating the concern that auditors give in to fee pressure and compromise audit quality as a result.

While the findings from this study should be of value to regulators and academics seeking to understand audit activities amid escalating macroeconomic uncertainty, when interpreting these results, several limitations must be considered. The study does not examine how external auditors evaluate risks tied to policy uncertainty. A comprehensive understanding of how and why external auditors respond to heightened policy uncertainty faced by firms could be better achieved through interviews with external auditors and audit committee members. In addition, while this study posits that auditors adjust their approach in response to changes in policy uncertainty, largely due to potential shifts in the risks of material misstatement, there might be additional factors at play that warrant higher audit fees post a change in policy uncertainty. For instance, specific policy changes may give rise to new risks or modify existing ones, thereby precipitating increased scrutiny of records and procedures as company directors’ demand. These aspects offer potential avenues for future research.

This study underscores the significant role of policy sensitivity in determining audit fees and audit quality. Policy-sensitive firms present unique complexities and potential risks that require additional effort and vigilance from auditors. Auditors must develop a specialized understanding of sectors prone to policy fluctuations to navigate these unique challenges effectively. In addition, the role of professional standards boards and regulators in establishing guidelines for auditing policy-sensitive firms cannot be understated. Such guidelines could lead to more consistent audit practices and improved audit quality. Finally, by recognizing and effectively responding to the policy sensitivity of client firms, audit firms can mitigate their own risks, strengthen public trust and enhance the reliability of financial reports.

First, this study adds to an emerging stream of auditing literature that focuses on how audit fees interact with a firm’s external environment by providing evidence of an unexplored implication, a firm-specific policy sensitivity. Second, my main construct, policy sensitivity, provides two distinct advantages over other variables used in prior studies that explore the relationship between audit fees and external firm environments. Third, this study answers the calls for research by De Villiers et al. (2013, p. 3), who identified the cost behavior of audit fees, especially over time, as an area not well understood.

The study aims to examine diabetic patients’ switching intentions toward self-monitoring blood glucose devices, incorporating perceived usefulness and perceived ease of use, with switching cost as a moderator.

A self-administered questionnaire was developed using established measuring scales. Data from 321 respondents was collected and analyzed using the partial least squares structural equation modeling approach.

Results indicate that perceived usefulness and perceived ease of use influence switching intention. Switching cost does not moderate the perceived usefulness, perceived ease of use and switching intention. This study reveals important information for healthcare practitioners and device manufacturers.

The significance and originality of this study stem from its pioneering investigation into the switching intentions of diabetic patients regarding self-monitoring glucose devices through the application of the technology acceptance model, thereby addressing a notable gap in the existing literature on diabetes management and technology adoption, which has lacked comprehensive examination of patients’ transition behaviors in this specific context.

The purpose of the paper is to present an integrated methodology for identifying trends in a particular subject area based on a combination of advanced text mining and expert methods. The authors aim to test it in an area of clinical psychology and psychotherapy in 2010–2019.

The authors demonstrate the way of applying text-mining and the Word2Vec model to identify hot topics (HT) and emerging trends (ET) in clinical psychology and psychotherapy. The analysis of 11.3 million scientific publications in the Microsoft Academic Graph database revealed the most rapidly growing clinical psychology and psychotherapy terms – those with the largest increase in the number of publications reflecting real or potential trends.

The proposed approach allows one to identify HT and ET for the six thematic clusters related to mental disorders, symptoms, pharmacology, psychotherapy, treatment techniques and important psychological skills.

The developed methodology allows one to see the broad picture of the most dynamic research areas in the field of clinical psychology and psychotherapy in 2010–2019. For clinicians, who are often overwhelmed by practical work, this map of the current research can help identify the areas worthy of further attention to improve the effectiveness of their clinical work. This methodology might be applied for the identification of trends in any other subject area by taking into account its specificity.

The paper demonstrates the value of the advanced text-mining approach for understanding trends in a subject area. To the best of the authors’ knowledge, for the first time, text-mining and the Word2Vec model have been applied to identifying trends in the field of clinical psychology and psychotherapy.