Data envelopment analysis (DEA) creates many opportunities for collaboration between analyst and decision-maker. There are, however, situations in which all of the decision-making units (DMUs) fall under the umbrella of a centralized decision maker that oversees them. Many organizations such as bank branches, chain stores, … can do this. This centralized decision maker unit expect that resource...

This study relies on Media Synchronicity Theory and Social Network Analysis to analyze how the structure of collaboration networks change when collaborating teams become temporally dispersed. The empirical test of hypotheses using ordinary least squares with archival data from 230 Open Source Software projects shows that the collaboration structure networks of more temporally dispersed teams ar...

The stable matching problem has many applications to real world markets and efficient centralized algorithms are known. However, little is known about the decentralized case. Several natural randomized algorithmic models for this setting have been proposed but they have worst case exponential time in expectation. We present a novel structure associated with a stable matching on a matching marke...

Using or extending Markov decision processes (MDPs) or partially observable Markov decision processes (POMDPs) to model multiagent decision problems has become an important trend. Generally speaking, there are two types of models: centralized ones and decentralized. The centralized ones focus on finding the best joint action given any global state, while the decentralied ones try to find out th...