Contrary to Frey and Osborne's (2013) prediction that the accounting profession faces extinction, we argue that accountants can still create value in a world of Big Data analytics. To advance this position, we provide a conceptual framework based on structured/unstructured data and problem-driven/exploratory analysis. We argue that accountants already excel at problem-driven analysis of structured data, are well positioned to play a leading role in the problem-driven analysis of unstructured data, and can support data scientists performing exploratory analysis on Big Data. Our argument rests on two pillars: accountants are familiar with structured datasets, easing the transition to working with unstructured data, and possess knowledge of business fundamentals. Thus, rather than replacing accountants, we argue that Big Data analytics complements accountants' skills and knowledge. However, educators, standard setters, and professional bodies must adjust their curricula, standards, and frameworks to accommodate the challenges of Big Data analytics.

No abstract

In this study, we review the extant literature on factors affecting the level and structure of executive compensation, with a specific focus on the power dynamic between firms and their executives. In doing so, we explore the competing effects of corporate tax planning and managerial power on executive compensation structure. We consider the theoretical underpinnings and related empirical findings regarding executive compensation structure and propose new avenues for future research that may deepen our understanding of factors influencing executive compensation structure.