Forward performance measurement and management integrated frameworks

Purpose – In recent years, performance measurement and management (PMM) has received much attention from researchers and practitioners. Despite the growing use of PMM systems, companies experience difficulty in implementing such systems, with consequent risk of partial benefits or total goal failure. The literature on PMM is quite vast, but only few of the models address the problem in its entirety, while many other works focus on specific issues related to PMM. The purpose of this paper is to analyze the state of the art of PMM models and propose an integrated framework as a base for performance measurement and management design. Design/methodology/approach – The evolution of the literature on PMM models and frameworks is highlighted starting from the development of the last twenty years. Further, the characteristics raised in the literature are merged so as to identify the milestones of an integrated performance measurement and management system. Based on it, an integrated framework is proposed as a base for a cohesive PMM design. Findings – The framework integrates five systems: a performance system, a cost system, a capability evaluation system, a benchmarking system and a planning system. Research limitations/implications – Though the proposed framework is a starting point for performance measurement and management design, it provides important guidelines for successful implementations of PMM initiatives inside companies. Practical implications – The paper elaborates on the findings in the literature through a review and explores how the framework proposed might be implemented and improved. Originality/value – The framework is based on the belief that PMM study requires an intensive and deep comprehension of the business in focus, which begins with a complete analysis of all the key activities in the company and their related drivers. Accordingly, the framework proposed starts with a defining “which” information should be analyzed, “how” they should be processed and “how” they should be integrated for generating valuable information to facilitate managers' decision-making processes.Performance management, Performance measurement (quality)

Quality Implications of Warranties in a Supply Chain

We examine a supply chain in which the final product consists of components made by a buyer and a supplier. In the single moral-hazard case, the buyer's quality is observable, whereas in the double moral-hazard case, the buyer's quality is not observable. The supplier's quality is not observable in both the single and double moral-hazard cases. In each case, we examine a warranty/penalty contract between the buyer and the supplier based on information from incoming inspection and external failures. When the warranty contract is based on information from external failures in the single moral-hazard case, the first-best quality is achieved, whereas in the double moral-hazard case, the first-best quality is achieved if the supplier is not held responsible for the buyer's defects. When the warranty contract is based on information from incoming inspection, the first-best is achieved in both the single and double moral-hazard cases, even when the incoming inspection does not identify all of the supplier's defectives. An analysis of whether the penalty on the supplier in each case meets a fairness criterion---that is, the penalty does not exceed the manufacturer's external failure cost---indicates that the fairness criterion is met by the warranty contract based on information from incoming inspection when the first-best incoming inspection is sufficiently high. However, if the first-best incoming inspection is low and the precision of pinpointing the supplier's responsibility for external failure is sufficiently high, the warranty contract based on external failures could satisfy the fairness criterion.incentives, supply chain, moral hazard, warranty, fairness criterion, legal constraint, quality management