Computational schema on ridge analysis

The purpose of this paper is to revisit the response surface technique ridge analysis within the context of the “trust region” problem in numerical analysis. It is found that these two approaches inherently solve the same problem. We introduce the computational difficulty, termed the “hard case”, which originates in the trust region methods, also exists in ridge analysis but has never been formally discussed in response surface methodology (RSM). The dual response global optimization algorithm (DRSALG) based on the trust region method is applied (with a certain modification) to solving the ridge analysis problem. Some numerical comparisons against a general-purpose nonlinear optimization algorithm are illustrated in terms of examples appearing in the literature     

Evaluation of Linear Mixed Model Case Deletion Diagnostic Tools by Monte Carlo Simulation

A large number of statistics have been proposed to study the influence of individual observations in the linear mixed model. An extensive Monte Carlo simulation study is used to evaluate the appropriateness of these influence diagnostic measures. The sensitivity of the diagnostic measures to outliers and leverages is examined, and helpful results are obtained.     

Improving patients’ satisfaction in a mobile hospital using Lean Six Sigma – a design-thinking intervention

Abstract

Lean Six Sigma (LSS) that offers a unique integration of Lean and Six Sigma has been accepted globally across services sectors. Previous studies that examined the application of LSS in healthcare were steered in traditional hospital settings. Apparently, there are no studies that highlight the application of LSS in mobile hospitals, an emerging trend in the healthcare sector. The aim of this article is to explore the applicability of LSS in a mobile hospital. The authors present a case study of improving patients’ satisfaction in a mobile hospital, through reducing turnaround time. Design-thinking intervention to LSS helped resolve a real-time problem using Define-Measure-Analyze-Design-Verify roadmap. This article contributes to the ‘healthcare quality” body of knowledge and is novel as it is the first of its kind of LSS application in a mobile hospital underpinning Design thinking. This study is unique as it demonstrates academia–industry collaboration in solving an organizational problem.     

Compulsory income management: Combatting or compounding the underlying causes of homelessness?

Compulsory Income Management (CIM) is a form of conditional welfare that involves the mandatory quarantining of a portion of welfare recipients’ social security payments. Quarantined funds are accessible via a government-issued debit card, with restrictions surrounding where and on what funds can be spent. Official justifications of CIM have framed these policies as attempts to combat substance abuse and gambling problems, and to thus secure better outcomes for welfare recipients and their families. Central to this narrative has been the argument that welfare quarantining will ensure more money is spent on ‘essentials’, including accommodation. No existing studies, however, have specifically interrogated the impacts of CIM on housing security. This article responds to this gap in the literature by reviewing existing research concerning CIM's impacts and locating this research within broader debates regarding the causes of homelessness and the efficacy of individualised policy interventions. In doing so, it highlights CIM's potential to exacerbate housing insecurity not only through technical issues such as rental transfer failures, but also by contributing to underlying stressors such as economic disadvantage; relationship difficulties, poor health and addiction; and social stigma. The article concludes that – far from addressing the structural causes of homelessness – CIM has enflamed them.     

Understanding the dynamic interinfluences of implementation processes: An illustration by multiple case studies

Many dropout prevention programs have been developed and validated in the past decades. Yet, little is known about the contextual factors influencing the implementation of these programs. Implementation processes, such as school principal leadership and governmental funding, have been identified for their influence on program implementation, but the mutual or dynamic influence of these processes is yet to be understood. This study examines the processes involved in the implementation of Check & Connect (C&C), a well-established targeted dropout prevention program validated in several countries that aims at promoting the development of a significant relationship between at-risk students and a mentor as a way to prevent school dropout.Semi-structured interviews were conducted with 12 mentors and coordinators directly involved in C&C implementation. Analyses were conducted in two subsequent steps: thematic analyses first helped identify implementation processes described by respondents, and then synthetic case studies allowed us to build the implementation stories of distinct sites. This last step was conducted using the Planned Change Framework.This framework helped us to understand the complex dynamics of implementation processes in each site, which were associated with previously identified program outcomes, beyond implementation fidelity. Implications for future implementations of evidence-based programs in the school setting are discussed.     

真伪之辩——基于新近材料的“海德格尔事件”核心问题研究

新近出版的《海德格尔兄弟通信集》为“海德格尔事件”研究的突破性进展提供了非常重要的文本资料，为澄清诸多疑难问题提供了一个关键契机。受此推动，本文将对“海德格尔事件”的核心问题展开追问:海德格尔在校长任职动机问题上的自我辩护是谎言还是事实?胡戈·奥特在其研究中批评海德格尔的辩护乃是撒谎，这一判断以种种变式影响着今天的《黑皮笔记》研究;但依据更多材料和更严谨的分析，可以看出奥特这一具有重大影响力的研究工作存在严重漏洞，扭曲了事实，而多年来一直被质疑的海德格尔自我辩护反倒符合事实。这一发现不仅揭示出了重新全面解读“海德格尔事件”的必要性，而且推动着我们去沉思相关论战一再爆发的深层原因，这将有助于我们走上真正的疑难澄清之路。     

Dependence and uncertainty in broker strategies of research intermediaries

This study examines how a research intermediary can successfully manage collaboration among research partners, while mitigating resource dependence in multi-partner programs. For that purpose, two fundamentally different strategies are explored: tertius gaudens and tertius iungens. Previous literature has not addressed the possibility that the effective deployment of tertius broker strategies may be contingent on multiple factors. Using a qualitative in-depth case study, we contribute to the literature by showing that the effective development of the tertius broker strategies in our study context is contingent on partner type, business integration and product readiness.     

Reinforced structural holes

Holes in social structure are variably reinforced by the social organization around the hole. The more reinforced the hole, the greater the difficulty in bridging it, but the more likely a successful bridge will carry information novel, and so potentially valuable, to people on the other side. To study how reinforcement varies with access to structural holes, and the achievement associated with access, I propose a measure of access to reinforced structural holes (RSH), and present results predicting achievement in an integrated banker organization and a balkanized supply-chain organization. In both study populations, the people who have access to structural holes also have access to reinforced structural holes, and all measures of access have a statistically significant association with achievement. However, there is no consistent prediction advantage from incorporating reinforcement in measures of access to structural holes. The reinforced-holes measure predicts compensation better or as well as network constraint and betweenness, but is weaker or no better than a count of nonredundant contacts. I do not infer from the results a rank-order of alternative measures so much as substitutability. I expect achievement to be associated with access to structural holes, but I expect the association to vary across alternative measures depending on how achievement is achieved in a specific population.     

Restaurant Revenue Management at Chevys: Determining the Best Table Mix

Revenue management has been used in a variety of industries and generally takes the form of managing demand by manipulating length of customer usage and price. Supply mix is rarely considered, although it can have considerable impact on revenue. In this research, we focused on developing an optimal supply mix, specifically on determining the supply mix that would maximize revenue. We used data from a Chevys restaurant, part of a large chain of Mexican restaurants, in conjunction with a simulation model to evaluate and enumerate all possible supply (table) mixes. Compared to the restaurant's existing table mix, the optimal mix is capable of handling a 30% increase in customer volume without increasing waiting times beyond their original levels. While our study was in a restaurant context, the results of this research are applicable to other service businesses.     

中国企业管理创新及其实现初探

在阐述企业管理创新的基本含义和主要决定因素的基础上,指出主体缺陷、客体不明、环境限制和风险与收益不对称等是导致中国企业管理创新不足的主要成因,进而提出改进和增强中国企业管理创新的实现途径