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This study aims to detect the impact of three personality traits on agents' sales performance. The moderating role of the unit manager's leadership style is highlighted too. MLQ-5X and Mini-IPIP questionnaires were distributed to 200 insurance sales agents in Lebanon. Using SEM, extraversion is found to be positively and significantly affecting sales performance whereas the neuroticism's impact is found to be negatively significant. Moreover, the transformational and the laissez-faire leadership styles are found to strengthen the positive relationship between extraversion and sales performance. Transactional leadership seemed to boost the negative relationship between neuroticism and sales performance. This study fills a gap in the literature and enriches it, specifically when it comes to the insurance industry in a Lebanese context.

In the rise of digital transformation and big data, accounting and auditing professions are required to adopt advanced techniques that help detect irregularities and frauds. This chapter collects 1,112 documents from Scopus database published in 288 sources over the period 2008-2021. A bibliometric analysis is used to depict trends, and applicable methodologies are adopted to build a comprehensible base that will serve to instill a new fraud detection model. More specifically, RStudio through “biblioshiny package”, VOSviewer, and Excel are the tools embraced to analyze the dataset information. The chapter explores the literature growth over time and addresses key aspects of the literature, such as most relevant documents, authors, countries, citation analysis. This chapter applies a network and content analysis using the bibliographical coupling, trend analysis, word cloud, and co-occurrence analysis. The theoretical model helps auditors, forensic accountants, top managements, analysts, and policy makers predict potential anomalies and misstatements.