Probabilistic forecasts are necessary for robust decisions in the face of uncertainty. The M5 Uncertainty competition required participating teams to forecast nine quantiles for unit sales of various products at various aggregation levels and for different time horizons. This paper evaluates the...

The paper develops a model for combining point forecasts into a predictive distribution for a variable of interest. Our approach allows for point forecasts to be correlated and admits uncertainty on the distribution parameters given the forecasts. Further, it provides an easy way to compute an...

This paper considers the problem of cost sharing, in which a coalition of agents, each endowed with an input, shares the output cost incurred from the total inputs of the coalition. Two allocations---average cost pricing and the Shapley value---are arguably the two most widely studied solution...

Drawing upon organizational culture and institutional theory, this study investigates how institutional pressures motivate the firm to adopt Internet-enabled Supply Chain Management systems (eSCM) and how such effects are moderated by organizational culture. The results of a survey of 131 firms...

Electronic Supply Chain Management systems (eSCMS), as instances of information technologies spanning organizational boundaries, have the potential to provide operational and strategic benefits. However, the high uncertainty of adoption consequences impedes firms from adopting eSCMS. Research on...

Electronic supply chain management (eSCM) has become a popular Web-based seamless supply chain process. Given that Chinese firms are important parts of global supply chains, it is imperative to investigate factors that would affect eSCM adoption in China. In this study, we examine the impact of...