Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

Operations research (OR) has been at the core of decision making since World War II, and
today, business interactions on different platforms have changed business dynamics …

Within the next years, consumer households will be increasingly equipped with smart
metering and intelligent appliances. These technologies are the basis for households to …

Transportation is a backbone of modern globalized societies. It also causes approximately
one third of all European Union and US greenhouse gas emissions, represents a major …

Creating an intelligent system that can accurately predict stock price in a robust way has
always been a subject of great interest for many investors and financial analysts. Predicting …

Purpose: In recent years, a number of practical logistic applications of machine learning
(ML) have emerged, especially in Supply Chain Management (SCM). By linking applied ML …

Electronic markets have been a core topic of information systems (IS) research for last three
decades. We focus on a more recent phenomenon: smart markets. This phenomenon is …

Market conditions change continuously. However, in portfolio investment strategies, it is hard
to account for this intrinsic non-stationarity. In this paper, we propose to address this issue by …

There is both a need and an opportunity to develop analytics-driven approaches to address
many significant challenges facing society. Toward this end, this article presents an “ESG …

The trend towards renewable, decentralized, and highly fluctuating energy suppliers (eg
photovoltaic, wind power, CHP) introduces a tremendous burden on the stability of future …