| Information sharing is a key element in achieving tight integration among supply chain members. It can create numerous benefits but also can pose serious risks that significantly impact the participating organizations and degrade the overall supply chain performance. This research proposes a methodology for both individuals and a group of organizations in a supply chain to make decisions on types of information to share with their partners.; The methodology has a number of specific approaches addressing unique classes of problems. At the highest level, problems are divided according to whether the organization is acting as an individual or if the group of organizations is acting as one. In the former case, the analytic hierarchy process (AHP), fuzzy AHP, and the analytic network process (ANP) are combined with goal programming (GP) depending on the format of the input and whether or not the data is independent. In the latter case, two approaches for group decision-making are employed, preference aggregation in the AHP framework and multi-criteria group decision-making, with selection based on whether the group of organizations acts as a single unit or an individual.; Applications of these approaches are provided by detailed numerical examples that emulate real situations. The results illustrate how conflicts appear and can be resolved. The applications further illustrate a number of the significant features of the methodology such as problem and input structure, consistency, and transparency of the interfaces that are superior to all existing techniques. |
