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 …

A negotiation between agents is typically an incomplete information game, where the agents
initially do not know their opponent's preferences or strategy. This poses a challenge, as …

Negotiations are central to reach consensus between supply chain partners while,
simultaneously, meeting internal cost and quality targets. Purchasing prices can be …

Big data are a commonly discussed topic, and their value in marketing and sales has been
thoroughly investigated. Although some authors have also discussed their relevance to …

A sales forecasting problem in the retail industry is addressed based on early sales. An
effective multivariate intelligent decision-making (MID) model is developed to provide …

Bilateral transactions hedge both sides against uncertain price and volume risks of day-
ahead auction and make up major portions of trading in electricity markets. Peer-to-peer …

In many real-world regression and forecasting problems, over-prediction and under-
prediction errors have different consequences and incur asymmetric costs. Such problems …

Negotiation is an important activity in human society, and is studied by various disciplines,
ranging from economics and game theory, to electronic commerce, social psychology, and …

With increasing e-commerce activities, the human–computer negotiation mechanism for
online transactions emerges. This study proposes a segmented linear regression strategy …

Massive regression and forecasting tasks are generally cost-sensitive regression learning
problems with asymmetric costs between over-prediction and under-prediction. However …