This paper aims to explore the impact of Big Data Analytic (BDA) tools on financial audit procedures by modelling and comparing the applications of traditional and BDA tools in financial audit procedures. By using the lens of Dffusion of Innovation Theory and relevant literature review, the...

In the insurance industry, the accumulation of complex problems and volume of data creates a large scope for actuaries to apply big data techniques to investigate and provide unique solutions for millions of policyholders. With much of the actuarial focus on traditional problems like price...

Banks and other financial institutions cannot do away with the outstanding credit balances with customers and the speed at which customers file for bankruptcy presents a risk to the credit industry sustainability. The demand for banks and financial institutions to break even in the credit...

This paper implements a context-based text mining approach in online reviews of three European historic city districts, to assess the data-driven projection of experiences and major determinants of traveler satisfaction. Bivariate analyses, semantic networks of experience concepts, and word...

Optimization models enable organizations to find the best solution and respond to the demand from an uncertain environment and stochastic process promptly and with less engineering effort. This study aims to optimize the number of seasonal agents and customer prioritization needed for a call...

Negative emissions technologies (NETs) feature prominently in most scenarios that halt climate change and deliver on the Paris Agreement's temperature goal. As of today, however, their maturity and desirability are highly debated. Since the social value of new technologies depends on how novel...