Tsan-Ming Choi

TL;DR: Several industrial sectors such as shipping, manufacturing, automotive, aviation, finance, technology, energy, healthcare, agriculture and food, e-commerce, and education among others are examined that can be successfully revamped with blockchain based technologies through enhanced visibility and business process management.

TL;DR: This study first explores the existing big data‐related analytics techniques, and identifies their strengths, weaknesses as well as major functionalities, and discusses various big data analytics strategies to overcome the respective computational and data challenges.

TL;DR: This study applies a novel neural network technique called extreme learning machine (ELM) to investigate the relationship between sales amount and some significant factors which affect demand, and proposes methods which outperform several sales forecasting methods which are based on backpropagation neural networks.

TL;DR: In this article, the performance of different closed-loop supply chains under different channel leadership is investigated. And the authors find that the retailer-led model gives the most effective CLSC and analytically reveal that the remanufacturing system's efficiency is highly related to a supply chain agent's proximity to the market.

TL;DR: This paper explores different consumer utility driven operations models and highlights the values of blockchain technology supported (BTS) platforms for diamond authentication and certification, and builds models and analytically examines both the traditional retail network operations and the BTS selling platform.