[HTML][HTML] Artificial intelligence in tactical human resource management: A systematic literature review

AM Votto, R Valecha, P Najafirad, HR Rao - International Journal of …, 2021 - Elsevier
Abstract Digitization within Human Resource Management (HRM) has resulted in Artificial
Intelligence (AI) becoming increasingly prevalent in Human Resource Management …

Applications of smart technologies in logistics and transport: A review

SH Chung - Transportation Research Part E: Logistics and …, 2021 - Elsevier
The emergence of smart technologies (STs) is inducing significant transformation in logistics
and transport nowadays. STs refer to the applications of artificial intelligence and data …

Toward a resilient supply chain model: critical role of knowledge management and dynamic capabilities

I Irfan, MSUK Sumbal, F Khurshid… - Industrial management & …, 2022 - emerald.com
Purpose Recent research has highlighted the beneficial role of supply chain resilience for
ensuring efficient production and business processes. The purpose of this study is to explore …

Artificial intelligence, machine learning, and deep learning for advanced business strategies: a review

NL Rane, M Paramesha, SP Choudhary… - Partners Universal …, 2024 - puiij.com
This study thoroughly analyses how artificial intelligence (AI), machine learning (ML), and
deep learning (DL) impact the development and improvement of business strategies. It …

An ensemble machine learning based bank loan approval predictions system with a smart application

N Uddin, MKU Ahamed, MA Uddin, MM Islam… - International Journal of …, 2023 - Elsevier
Banks rely heavily on loans as a primary source of revenue; however, distinguishing
deserving applicants who will reliably repay loans presents an ongoing challenge …

Hierarchical integrated machine learning model for predicting flight departure delays and duration in series

WA Khan, HL Ma, SH Chung, X Wen - Transportation Research Part C …, 2021 - Elsevier
Flight delays may propagate through the entire aviation network and are becoming an
important research topic. This paper proposes a novel hierarchical integrated machine …

Airline crew scheduling: Models and algorithms

X Wen, X Sun, Y Sun, X Yue - Transportation research part E: logistics and …, 2021 - Elsevier
The airline crew scheduling problem has become a crucial but challenging task for
commercial airlines for decades. Airlines are operating with two types of air crew: cockpit …

Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies

HL Ma, Y Sun, SH Chung, HK Chan - Transportation Research Part E …, 2022 - Elsevier
Aircraft maintenance routing (AMR) is crucial for both passenger airlines and cargo airlines
to maintain flight operations efficiency, meanwhile it ensures that aircraft fulfill the civil …

Airline crew scheduling with sustainability enhancement by data analytics under circular economy

X Wen, SH Chung, HL Ma, WA Khan - Annals of Operations Research, 2024 - Springer
As an energy-intensive industry, it is critical for airlines to enhance operation sustainability
under the circular economy. Airline crew pairing problem is to construct job itineraries …

Robust airline crew scheduling with flight flying time variability

X Wen, HL Ma, SH Chung, WA Khan - Transportation Research Part E …, 2020 - Elsevier
The crew pairing problem is one of the most important but challenging tasks for commercial
airlines. However, the operation environment of the aviation industry is highly volatile with …