Search
24 articles for “Logistics management”
-
A Study on the Growth and Success Path of Delhivery
Abstract: This is the best time for the logistics companies to grow and flourish as the world is switching from retail to online shopping. Like any other business, logistics and supply chain too must go through difficult times of market turbulence, unstable economy, and unpredictable business returns. Having said that, it is the leadership and the management of an organization that helps the company sail through times like those in order …
Published in NOLEGEIN Journal of Supply Chain and Logistics Management · Vol. 1, Issue 2, 2018 · pp. 14–16 Read article
-
Drivers and Challenges in Humanitarian logistics
Abstract: As the concept of humanitarian logistics evolves swiftly, the field of study is becoming increasingly popular. This study examines the research on humanitarian logistics to provide readers with a full overview of the subject. In order to successfully complete relief efforts in response to worldwide emergencies such as floods, earthquakes, wars, etc., it is critical to quickly deliver the right amount of goods, people, and financial resources to the locations …
Published in NOLEGEIN Journal of Operations Research & Management · Vol. 6, Issue 1, 2023 · pp. 11–16 Read article
-
Case Study Flipkart (A): Transitioning to a Marketplace Model
Abstract: Conducted case study was attempted towards examining the misperception circulating current e-tailing marketplace concerning misinformation of the platform’s existing product. Reviewing of surfaced product quality challenge further uncovered related issues from the aspect of unhealthy price competition within the Indian marketplace, discrepancy in socioeconomic factors towards proliferation of current e-commerce practice and organizational ability in balancing sales growth to profit gain. Earlier academic studies and theoretical groundworks were reviewed and …
Published in NOLEGEIN Journal of Consumer Behavior & Market Research · Vol. 5, Issue 1, 2022 Read article
-
The Intelligent Frontier: Orchestrating AI and Machine Learning for Advanced Financial Fraud Detection
Abstract: Traditional rule-based systems cannot match that scale. They are too slow, too rigid, and too reactive. This paper examines how AI and ML are reshaping fraud detection. It evaluates LSTMs, GNNs, and Transformers as detection tools. Mastercard reported a 20% uplift in fraud detection rates. The paper also maps two emerging frontiers: Agentic AI and Quantum Graph Neural Networks. Strategic guidance is offered throughout CFOs and finance leaders. Global financial …
Published in NOLEGEIN Journal of Leadership and Strategic Management · Vol. 9, Issue 2, 2026 · pp. 29–36 Read article