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[HTML][HTML] Text mining for big data analysis in financial sector: A literature review
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 …
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
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 …
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
Due to the process of globalization, companies are obligated to observe corporate social
responsibility and best practices from a sustainability approach towards their stakeholders …
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
The limited attention given to financial education in the development of student
competencies can undermine the decision making of individuals in their adulthood. This …
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
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 …
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
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 …
to address the research trends on a given area of investigation through analysing existing …
Lessons from entrepreneurial failure through vicarious learning
Despite its widespread occurrence, the topic of failure is barely addressed in
entrepreneurship education. Consequently, students are given an incomplete and …
entrepreneurship education. Consequently, students are given an incomplete and …
[หนังสือ][B] Risk management in crisis: Winners and losers during the COVID-19 pandemic
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 …
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
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 …
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 …
crises prior to events and to reduce false alarms of possible crises. This study constructs an …