Performance tiers: Implementing comparative effectiveness analysis in the health care setting through operations research and spatial methods

This dissertation develops and tests a comparative effectiveness methodology utilizing a novel approach to the application of Data Envelopment Analysis (DEA) in health studies. The concept of performance tiers (PerT) is introduced as terminology to express a relative risk class for individuals within a peer group and the PerT calculation is implemented with operations research (DEA) and spatial algorithms. The analysis results in the discrimination of the individual data observations into a relative risk classification by the DEA-PerT methodology. The performance of two distance measures, kNN (k-nearest neighbor) and Mahalanobis, was subsequently tested to classify new entrants into the appropriate tier. The methods were applied to subject data for the 14 year old cohort in the Project HeartBeat! study.^ The concepts presented herein represent a paradigm shift in the potential for public health applications to identify and respond to individual health status. The resultant classification scheme provides descriptive, and potentially prescriptive, guidance to assess and implement treatments and strategies to improve the delivery and performance of health systems. ^

Management science, economics and finance: A connection

This paper provides a brief review of the connecting literature in management science, economics and finance, and discusses some research that is related to the three disciplines. Academics could develop theoretical models and subsequent econometric models to estimate the parameters in the associated models, and analyze some interesting issues in the three disciplines.

Ground water quality [microform] : hearings before the Subcommittee on Department Operations, Research, and Foreign Agriculture of the Committee on Agriculture, House of Representatives, One Hundredth Congress, first session on H.R. 791, July 28, and September 16, 1987.

"Serial no. 100-49."

Review of ground water quality concerns [microform] : hearings before the Subcommittee on Department Operations, Research, and Foreign Agriculture of the Committee on Agriculture, House of Representatives, One Hundredth Congress, first and second sessions, October 12, 1987, Humboldt, IA; October 27 and December 9, 1987; March 29 and May 24, 1988.

"Serial no. 100-95."

Earthquake and Fire Act authorization [microform] : hearings before the Subcommittee on Science, Research, and Technology of the Committee on Science and Technology, U.S. House of Representatives, Ninety-seventh Congress, first session, February 25, March 4, 11, 1981.

"No. 18."

Local incentives for high technology firms and innovation [microform] : hearing before the Subcommittee on Science, Research and Technology of the Committee on Science and Technology, U.S. House of Representatives, Ninety-seventh Congress, second session, February 16, 1982.

"No. 90."

Positioning terrorism in management and marketing: Research propositions

Terrorism poses both direct and indirect threats to the operations of the firm. It represents a market imperfection that increases transaction costs and creates barriers to the free flow of goods, affecting potential gains that would occur in the presence of unhindered exchange. Terrorism reflects the risk or actual encounter of violent acts, whose goal is to engender fear, coercion, or intimidation. We investigate terrorism and its association with marketing strategy and operations. Key concepts on terrorism are reviewed and a collection of propositions is offered. We highlight the pivotal roles of sourcing, production, distribution, pricing, communications, and general business strategy as functions influenced by, or capable of influencing, terrorism. Lastly, we offer managerial implications, as well as directions and guidelines for future research.

Insights into factors affecting production and operations management (POM) journal evaluation

The paper extends the current literature on peer review journal evaluations by providing a number of insights based on the diversity of Production and Operations Management (POM) research. We provide peer review evaluations for POM research outlets, based on a sampling frame that includes a large number of POM researchers worldwide. More specifically, the paper develops and tests various hypotheses as to whether the perceived quality and relevance of a journal is affected by such factors as: (i) nature of research work (empiricists versus modelers), (ii) society membership, (iii) research productivity, (iv) geographical location, and (v) seniority. Our findings suggest that caution must be exercised when utilizing existing POM journal rankings, as some factors, particularly the difference between empiricists and modelers, may influence journal evaluation. These must be considered when addressing issues such as faculty promotions, tenure, and salary. © 2006 Elsevier B.V. All rights reserved.

Leadership and management research in Africa:a synthesis and suggestions for future research

Although we are aware of some positive cases of leadership and management emerging on the African continent, very little empirical or theoretical work has addressed leadership and management in Africa. This raises a challenge for African nations in that ultimately a country's economic performance is contingent on the effectiveness of its leadership and management practices that serve to unlock the potential of its workforce to effectively implement the strategic goals of organizations. Against the backdrop of an increasingly knowledge-dependent global marketplace, the centrality of leadership and effective management systems as drivers of individual and organization performance has never been more critical. This special section brings together a compendium of papers that advances the science of leadership and management within the African context. Our principle goal was to examine what is unique, what generalizes, and what does not generalize from the West and East to Africa, as well as within different regions of Africa and then offer ideas to guide future research and practice. The papers in this section provide a broad and indeed innovative approach to studying leadership and management in Africa by including historical, philosophical, economic, and socio-political perspectives, as part of the analyses of leadership and management in the African context. Our editorial provides an integration of this work and a launching point for some audacious goals for future leadership and management science and practice in Africa and beyond. ©2011 The British Psychological Society.

Unifying Services Marketing and Operations with Service Experience Management

One of the pioneer firms in the leisure cruise industry embarked on a bold idea in 2000 to offer an unregimented experience unlike most cruises. Despite the appeal of the concept from a marketing perspective, the service innovation posed operational challenges, many of which continue to undermine the firm’s competitive position. Using a multi-method empirical approach and interdisciplinary views that draw on research from marketing and operations management, the authors analyze this business case to identify challenges that service firms face when services are developed and managed from siloed functional perspectives. Based on their research findings and guided by the literature, the authors derive a service-systems model to aid service planning and management. The authors further highlight a new organizational form and function for services under the domain of service experience management that is positioned as a means to unify service operations and marketing for delivering on service promises. The authors offer direction for further research on service operations systems and service experience management.

Analytics and Methods for Logistic System Design and Operations Management

Analytics is the technology working with the manipulation of data to produce information able to change the world we live every day. Analytics have been largely used within the last decade to cluster people’s behaviour to predict their preferences of items to buy, music to listen, movies to watch and even electoral preference. The most advanced companies succeded in controlling people’s behaviour using analytics. Despite the evidence of the super-power of analytics, they are rarely applied to the big data collected within supply chain systems (i.e. distribution network, storage systems and production plants). This PhD thesis explores the fourth research paradigm (i.e. the generation of knowledge from data) applied to supply chain system design and operations management. An ontology defining the entities and the metrics of supply chain systems is used to design data structures for data collection in supply chain systems. The consistency of this data is provided by mathematical demonstrations inspired by the factory physics theory. The availability, quantity and quality of the data within these data structures define different decision patterns. Ten decision patterns are identified, and validated on-field, to address ten different class of design and control problems in the field of supply chain systems research.

Assessing influence in survival data with a cure fraction and covariates

Diagnostic methods have been an important tool in regression analysis to detect anomalies, such as departures from error assumptions and the presence of outliers and influential observations with the fitted models. Assuming censored data, we considered a classical analysis and Bayesian analysis assuming no informative priors for the parameters of the model with a cure fraction. A Bayesian approach was considered by using Markov Chain Monte Carlo Methods with Metropolis-Hasting algorithms steps to obtain the posterior summaries of interest. Some influence methods, such as the local influence, total local influence of an individual, local influence on predictions and generalized leverage were derived, analyzed and discussed in survival data with a cure fraction and covariates. The relevance of the approach was illustrated with a real data set, where it is shown that, by removing the most influential observations, the decision about which model best fits the data is changed.

A note on the likelihood and moments of the skew-normal distribution

In this paper an alternative approach to the one in Henze (1986) is proposed for deriving the odd moments of the skew-normal distribution considered in Azzalini (1985). The approach is based on a Pascal type triangle, which seems to greatly simplify moments computation. Moreover, it is shown that the likelihood equation for estimating the asymmetry parameter in such model is generated as orthogonal functions to the sample vector. As a consequence, conditions for a unique solution of the likelihood equation are established, which seem to hold in more general setting.