[HTML][HTML] Text mining for big data analysis in financial sector: A literature review

M Pejić Bach, Ž Krstić, S Seljan, L Turulja - Sustainability, 2019 - mdpi.com
Big data technologies have a strong impact on different industries, starting from the last
decade, which continues nowadays, with the tendency to become omnipresent. The …

[HTML][HTML] How can artificial intelligence help customer intelligence for credit portfolio management? A systematic literature review

A Amato, JR Osterrieder, MR Machado - International Journal of Information …, 2024 - Elsevier
In this era of Big Data and the advancement of sophisticated analytical techniques, the
financial industry has the capacity to implement innovative technologies within their systems …

[HTML][HTML] The sustainable approach to corporate social responsibility: A global analysis and future trends

E Abad-Segura, FJ Cortés-García, LJ Belmonte-Ureña - Sustainability, 2019 - mdpi.com
Due to the process of globalization, companies are obligated to observe corporate social
responsibility and best practices from a sustainability approach towards their stakeholders …

[HTML][HTML] Effects of financial education and financial literacy on creative entrepreneurship: A worldwide research

E Abad-Segura, MD González-Zamar - Education Sciences, 2019 - mdpi.com
The limited attention given to financial education in the development of student
competencies can undermine the decision making of individuals in their adulthood. This …

A machine learning-based human resources recruitment system for business process management: using LSA, BERT and SVM

X Tian, R Pavur, H Han, L Zhang - Business Process Management …, 2023 - emerald.com
Purpose Studies on mining text and generating intelligence on human resource documents
are rare. This research aims to use artificial intelligence and machine learning techniques to …

A bibliometric study on intelligent techniques of bankruptcy prediction for corporate firms

Y Shi, X Li - Heliyon, 2019 - cell.com
Bibliometric analysis is an effective method to carry out quantitative study of academic output
to address the research trends on a given area of investigation through analysing existing …

Lessons from entrepreneurial failure through vicarious learning

JF Alvarado Valenzuela, I Wakkee… - Journal of Small …, 2023 - Taylor & Francis
Despite its widespread occurrence, the topic of failure is barely addressed in
entrepreneurship education. Consequently, students are given an incomplete and …

[หนังสือ][B] Risk management in crisis: Winners and losers during the COVID-19 pandemic

P Jedynak, S Bąk - 2021 - library.oapen.org
Risk management is a domain of management which comes to the fore in crisis. This book
looks at risk management under crisis conditions in the COVID-19 pandemic context. The …

Designing early warning systems for detecting systemic risk: A case study and discussion

M Wever, M Shah, N O'Leary - Futures, 2022 - Elsevier
Systemic risks are potential trigger events or developments that could undermine the
viability of entire networks or systems. Growing complexity in systems make such risks both …

Early warning system for risk of external liquidity shock in BRICS countries

H An, H Wang, S Delpachitra, S Cottrell, X Yu - Emerging Markets Review, 2022 - Elsevier
The early-warning system (EWS) is recognized in the literature as a method of detecting
crises prior to events and to reduce false alarms of possible crises. This study constructs an …