Financial stress experienced by supply chain elements causes stress to all members. Predictive data mining is a common tool for predicting bankruptcy. Bankruptcy often involves highly imbalanced datasets with a large number of potential variables, with bankrupt firms being by far the minority...

With the advent of digital transformation, ICT innovations have also led to a "data revolution" wherein more data is being captured, produced, stored, accessed, analyzed, archived, and reanalyzed, and at an exponential pace. An examination of new data sources, including big data and...

This study is designed to discover current energy-related research trends as evidence inherent in big data and obtain future agendas and new insights to reshape global energy strategy considering environmental change globally in the era of COVID-19. To this end, vast amounts of unstructured text...

This study aims to track the structural development of academic research on credit risk assessment and big data using bibliometric analysis. The bibliography is obtained from the Scopus database and contains all studies with citations published between 2012 and 2021. The study's findings suggest...

This study provides a critical review of the literature that examines and analyses how Fraud Prevention mediates the Effect of Internal Audit, Risk Management, Whistle Blowing System and Big Data Analytics on the Prevention of Financial Crime Behaviour. The problem discussed in this study is the...

Compared with common intelligent service, full-scene intelligent service has its uniqueness in high integration, synergy, and technological spillover. However, the traditional service or business model theories cannot precisely elaborate its sociotechnical contextual nature and value creation...