An Integrated Multitheoretical Perspective of Public Healthcare Services Delivery Organizations

This study seeks to create an integrated multitheoretical model of public healthcare services delivery organizations. A literature review of selected organization theories and their relevance to healthcare was conducted. By illuminating the aspects of control over resources, isomorphism, adaptation to the changing environment and contracts between parties based on the key elements of the resource-dependence theory, institutional theory, population ecology and transaction-cost economics theory, an integrated multitheoretical model of a public healthcare services delivery organization has been presented. There is a need for empirically testing the model proposed by this study.

     

Social Capital and Human Mortality: Explaining the Rural Paradox with County‐Level Mortality Data

The “rural paradox” refers to standardized mortality rates in rural areas that are unexpectedly low in view of well‐known economic and infrastructural disadvantages there. We explore this paradox by incorporating social capital, a promising explanatory factor that has seldom been incorporated into residential mortality research. We do so while being attentive to spatial dependence, a statistical problem often ignored in mortality research. Analyzing data for counties in the contiguous United States, we find that: (1) the rural paradox is confirmed with both metro‐nonmetro and rural‐urban continuum codes, (2) social capital significantly reduces the impacts of residence on mortality after controlling for race and ethnicity and socioeconomic covariates, (3) this attenuation is greater when a spatial perspective is imposed on the analysis, (4) social capital is negatively associated with mortality at the county level, and (5) spatial dependence is strongly in evidence. A spatial approach is necessary in county‐level analyses such as ours to yield unbiased estimates and optimal model fit.     

Parallel multivariate slice sampling

Slice sampling provides an easily implemented method for constructing a Markov chain Monte Carlo (MCMC) algorithm. However, slice sampling has two major drawbacks: (i) it requires repeated evaluation of likelihoods for each update, which can make it impractical when evaluations are expensive or as the number of evaluations grows (geometrically) with the dimension of the slice sampler, and (ii) since it can be challenging to construct multivariate updates, the updates are typically univariate, which often results in slow mixing samplers. We propose an approach to multivariate slice sampling that naturally lends itself to a parallel implementation. Our approach takes advantage of recent advances in computer architectures, for instance, the newest generation of graphics cards can execute roughly 30,000 threads simultaneously. We demonstrate that it is possible to construct a multivariate slice sampler that has good mixing properties and is efficient in terms of computing time. The contributions of this article are therefore twofold. We study approaches for constructing a multivariate slice sampler, and we show how parallel computing can be useful for making MCMC algorithms computationally efficient. We study various implementations of our algorithm in the context of real and simulated data.     

Managing Cost Salience and Procrastination in Projects: Compensation and Team Composition

The rising trend of projects with high‐skilled and autonomous contributors increasingly exposes managers to the risk of idiosyncratic individual behaviors. In this article, we examine the effects of an important behavioral factor, an individual's cost salience. Cost salience leads individuals to perceive the cost of immediate effort to be larger than the cost of future effort. This leads to procrastination in early stages and back‐loaded effort over the course of the project. We model the problem confronting the manager of a project whose quality is adversely impacted by such distortion of individual effort over time. Complementary to prior works focused on the planning and scheduling tasks of project management in the absence of human behavior, we find that managers should reward contributions made in earlier stages of a project. Our analysis also yields interesting insights on the project team performance: teams with diverse levels of cost salience will perform better than homogeneous teams. We also address another important facet of team composition, namely, the choice between stable and fluid teams, and find that the practice of creating fluid teams might have previously unrecognized benefits when behavioral aspects of projects are considered. We conclude with insights and organizational implications for project managers.     

Multivariate process capability a bayesian perspective

In this paper an attempt has been made to examine the multivariate versions of the common process capability indices (PCI's) denoted by C_p and C_pk . Markov chain Monte Carlo (MCMC) methods are used to generate sampling distributions for the various PCI's from where inference is performed. Some Bayesian model checking techniques are developed and implemented to examine how well our model fits the data. Finally the methods are exemplified on a historical aircraft data set collected by the Pratt and Whitney Company.     

Testing for Covariate Effect in the Cox Proportional Hazards Regression Model

This article presents methods for testing covariate effect in the Cox proportional hazards model based on Kullback–Leibler divergence and Renyi's information measure. Renyi's measure is referred to as the information divergence of order γ (γ ≠ 1) between two distributions. In the limiting case γ → 1, Renyi's measure becomes Kullback–Leibler divergence. In our case, the distributions correspond to the baseline and one possibly due to a covariate effect. Our proposed statistics are simple transformations of the parameter vector in the Cox proportional hazards model, and are compared with the Wald, likelihood ratio and score tests that are widely used in practice. Finally, the methods are illustrated using two real-life data sets.     

Finding disjoint paths with related path costs

We consider routing in survivable networks that provide protection against node or link failures. In these networks resilience against failures is provided by routing connections on pairs of disjoint paths called primary and backup paths. The primary path of a connection carries its traffic under normal circumstances and in the eventuality of a network failure effecting the primary path the connection traffic (all or some portion of it) is rerouted over its backup path. In an online setting as connection requests arrive a pair of disjoint primary and backup paths of least total cost (under some link cost metric) are selected to route the connections. In many situations the cost metric used for the primary path differs from the cost metric used for the backup path. Also in many realistic settings these two cost metrics are related to each other. In this paper we study the problem of finding a pair of edge or node disjoint paths of least total cost where the cost of the primary path is the total cost of its links while the cost for the backup path is α times the sum of the cost of its links, for some given α < 1. We show that the problem is hard to approximate to within a factor for any positive . In addition we show that the problem is complete for a set of hard to approximate problems. On the positive side we show that a simple algorithm achieves an approximation ratio of for the problem.     

Collaboration outcomes in a public sector: impact of governance,leadership, interdependence and relational capital

Collaboration between public agencies is critical to address social issues effectively. The main objective of this research was to identify the factors that lead to successful achievement of desired collaboration outcomes that could eventually lead to societal outcomes. The factors identified were: transformational leadership, governance, interdependence, and relational capital. An integrated framework was developed based on collaboration governance framework (CGF) of Ansell and Gash (J Public Adm Res Theory 18:543–571, 2008). The CGF framework has integrated the following four broad variables that are responsible for achieving the desired collaboration outcomes: starting conditions, institutional design, leadership, and collaborative process. The study was conducted in Malaysia by sending questionnaires to 500 officers in various ministries who were involved in planning, formulating, and implementing public policies. The main findings of this study are: (1) transformational leadership influences governance, interdependence, relational capital, and collaboration outcomes; (2) governance has impact on relational capital, interdependence, and collaboration outcomes; (3) relational capital and interdependence result in positive collaboration outcomes; (4) dimensions of governance are inter-related; and (5) interdependence and relational capital are strongly correlated. This research adds significantly to the literature on collaborative governance. The implications and limitations of the study are discussed.     

‘It’s Quite Stylish’: Representations of American English and American Culture in English-Training Milieus in Delhi,India

English-training institutes seem to be ubiquitous in India, and they often index the United States through reference to ‘American accent’ training, American teachers, or simply American flags on their storefront signs. Against the broader backdrop of globalization, and through an examination of institute signs and advertisements and interviews with institute students and teachers, I show how ‘America’ is represented, produced, and consumed as a symbolic and cultural category within the cultural domain of English-training institutes.