We document the development of academic research on retail analytics and compare it with current practice. We provide a definition of retail analytics, describe its evolution, and conduct bibliometric analyses on 123 retail analytics articles published in top operations journals in the 2000-2020...

The adoption of big data analysis in the legal domain is a recent but growing trend that highlights ethical concerns not just with big data analysis, as such, but also with its deployment in the legal domain. This article systematically analyses five big data use cases from the legal domain...

The evolution of Internet and Communication Technologies (ICTs) has changed the landscape of traditional web. The present scenario of web forms a large network of tools, techniques and people across globe, which turns the existing facet of web in a socially active web that is, social web. The...

With the evolution of social web, various networking services have contributed towards the establishment of a powerful platform that allows interaction and communication among people across the globe through shared information and messages. Unlike the traditional internet (which only supported...

In 2014, the State Council of the Chinese Communist Party announced the institution of a social credit system by 2020, a follow-up to a similar statement on the creation of a social credit system issued by the State Council in 2007. Social credit ratings of the type being developed by the State...

Given the enormous amount of data created through customers’ transactions in retail stores, it comes as no surprise that retailers are actively seeking initiatives to leverage big data and offer their customers superior services that provide mutual, previously unattainable benefits....

In this article we apply text mining techniques to analyse the TCFD recommendations on climate-related disclosures of the 12 significant Spanish financial institutions using publicly available corporate reports from 2014 until 2019.In our analysis, applying our domain knowledge, first we create...

Cluster analysis is a data analytics technique that can help forensic accountants effectively detect anomalies in complex financial datasets. This article provides a description of clustering analysis, discusses how it can be implemented to detect anomalies in data, and illustrates its use...

A rapid rise in population and demand for higher education led to considerable investment in the education sector in United Arab Emirates. UAE universities are facing a lot of challenges among which student retention a crucial one. Student retention is an indicator of academic performance and...