Most discussions and articles about supply chain metrics are, in actuality, about internal logistics performance measures. The lack of a widely accepted definition for supply chain management and the complexity associated with overlapping supply chains make the development of supply chain metrics difficult. Despite these problems, managers continue to pursue supply chain metrics as a means to increase their “line of sight” over areas they do not directly control, but have a direct impact on their company's performance. We provide a framework for developing supply chain metrics that translates performance into shareholder value. The framework focuses on managing the interfacing customer relationship management and supplier relationship management processes at each link in the supply chain. The translation of process improvements into supplier and customer profitability provides a method for developing metrics that identify opportunities for improved profitability and align objectives across all of the firms in the supply chain.

Performance‐based logistics (PBL) represents a strategy for sustaining complex systems following production. Despite several implementations, limited understanding exists regarding PBL and its implications. Research using grounded theory emerged a theoretical framework for PBL. Service dominant logic (SDL) is introduced as a theoretical lens for interpreting the results and understanding how trading partners achieve performance‐based outcomes.