Assessing performance and value-creation capabilities in Lean healthcare: insights from a case study

ABSTRACT

Lean thinking is increasingly being applied worldwide. Yet its actual impact is still a puzzle, particularly when a ‘full-implementation approach’—which entails the adoption of a strategic approach to Lean dissemination on policy deployment procedures—is used. Focusing on the healthcare sector, this paper presents and tests a comprehensive measurement framework for Lean interventions. The paper explains how Lean testing can help decision-makers to solve managerial issues related to Lean initiatives.     

把食品质量安全作为"健康·维权"的重点

“中消协”把“健康·维权”列为2005年维权的主题,对于促进我国国民身心健康、落实以人为本的科学发展观和构建社会主义和谐社会,有很大的现实意义。“健康”是个大概念,包括身体健康、心理健康和人身安全等等,综合指标可以是国民的平均寿命影响健康和平均寿命的因素很多,诸如衣食住行、医疗保健、生活环境、人际关系等,既有外部的,相应的健康维权也需从多方面努力。从我国现实情况看,我以为应把食品的质量安全作为重点,因为:1 食品消费在国民健康和和构建和谐社会主义社会中具有特别重要的作用。民以食为天,食品消费是最基本的消费。…     

A portfolio approach to a cross-sectoral and cross-national investment strategy in transition economies

This paper takes a systematic look at the portfolio choice problem faced by Investment Banks or Funds investing in transition economies. We relate the performance of projects in the transition economies to the broader macroeconomic and international environments, which affect the project through their input-output structures and financial balance sheets. Among the macroeconomic determinanst of enterprise behaviour are productivity growth, real wage growth, movements in the international terms of trade, shocks to the relative price of traded and non-traded goods, domestic and foreign interest rates, currency depreciation and the rate of inflaction. We evaluate the attractiveness of alternative investment strategies and provisioning rules from the perspective of portfoio theory.     

Internal validity assessment of conjoint estimated attribute importance weights

This paper investigates how various conjoint designs (full versus fractional) and estimation procedures (LINMAP, MONANOVA, OLS) may interact with basic characteristics of the “true” utility functions (i.e., their range, shape, and curvature) when estimating attribute importance weights. Substantial weight distortions are found, especially under a fractional design.     

Interpartner legitimacy in regional strategic networks

Our aim is to add to the knowledge on a network level, focusing on if, and how, interpartner legitimacy affects the success or failure of network formation and development processes. Existing network theories and research tend to focus on resource exchange rather than on how actors perceive each other in terms of being legitimate or not. The purpose of the article is to analyze the interpartner legitimacy's influence on the formation and development processes of regional strategic networks (RSNs) from a network level. Two Swedish cases are discussed in terms of pragmatic, moral and cognitive interpartner legitimacy. The cases and the following discussion illuminate that interpartner legitimacy is important to incorporate into the analytical model if we wish to understand the processes of negotiations on the rules and norms which set the possibilities for survival of multi-actor interactions.     

Robustness and inference in nonparametric partial frontier modeling

A major aim in recent nonparametric frontier modeling is to estimate a partial frontier well inside the sample of production units but near the optimal boundary. Two concepts of partial boundaries of the production set have been proposed: an expected maximum output frontier of order m=1,2,… and a conditional quantile-type frontier of order α∈]0,1]. In this paper, we answer the important question of how the two families are linked. For each m, we specify the order α for which both partial production frontiers can be compared. We show that even one perturbation in data is sufficient for breakdown of the nonparametric order-m frontiers, whereas the global robustness of the order-α frontiers attains a higher breakdown value. Nevertheless, once the α frontiers break down, they become less resistant to outliers than the order-m frontiers. Moreover, the m frontiers have the advantage to be statistically more efficient. Based on these findings, we suggest a methodology for identifying outlying data points. We establish some asymptotic results, contributing to important gaps in the literature. The theoretical findings are illustrated via simulations and real data.     

Bayesian regression analysis using poly-t densities

Poly-t densities are defined by the property that their kernel is a product, or ratio of products, of Student-t kernels. These multivariate densities arise as Bayesian posterior densities for regression coefficients, under a surprising variety of specifications for the prior density and the data generating process. Although no analytical expression exists for the integrating constant and moments of these densities, these parameters are obtained through numerical integration in a number of dimensions given by the number of Student-t kernels in the numerator, minus one. The paper reviews how poly-t densities arise in regression analysis, and summarizes the results obtained for a number of models.     

Su un piano ottimale d'ammortamento di un prestito diviso in obbligazioni

Viene considerato il problema della determinazione della «politica ottima» di un'impresa che deve ammortizzare un prestito diviso in obbligazioni, noti i tassi di interesse del prestito, la redditività del capitale disponibile e prefissati vincoli sul numero massimo di obbligazioni da rimborsare nei singoli anni. Il problema viene risolto coi metodi della programmazione lineare.