Factors Affecting Older Women's Adherence to Medication and Treatment

Over the past 25 years, there has been a growing interest in why many patients do not take prescribed medications or fail to follow medical advice. As many as 50% of all patients fail to adhere adequately to therapeutic advice or engage in inappropriate use of prescribed medications. Additionally, there has been a struggle over how best to describe this variance between what medical practitioners recommend and what patients actually do. This article examines factors thought to affect women's adherence to medication and treatment regimens. Literature on age, comorbid conditions, socioeconomic factors, environmental factors, and perceived susceptibility for an illness is reviewed as are individual psychological idiosyncratic dynamics that may influence health care behaviors.     

Behavioral complexity in leadership: The psychometric properties of a new instrument to measure behavioral repertoire

Research in managerial and executive leadership recognizes the importance of behavioral complexity, particularly for addressing the competing demands and roles expected of managerial leaders. Though some empirical research on behavioral complexity exists, further progress requires a more rigorous instrument to measure behavioral repertoire. We design an elaborated, multi-dimensional instrument based on the Competing Values Framework (CVF). To examine the underlying conceptual structure and remove measurement error, we test this second-order measurement model using structural equation modeling (SEM). We also test the spatial relationship of the factors using a Bayesian circumplex model. Our data largely support the theoretical structure and stringent demands of the CVF model as applied to this instrument. Finally, we test the instrument's ability to predict managerial effectiveness and find that higher overall ability is correlated with greater overall performance. With this new instrument, we suggest the modification and addition of roles associated with the CVF model.     

IRR computation and the multi-asset problem

The IRR model for individual assets has been the target of serious criticism over the years. The purpose of this paper is to provide a partial rationale for interpreting aggregate firm data based on IRR calculations of individual assets. More specifically, it will be argued that the value of accounting information will be enhanced as a result of depreciation and income recognition schedules being determined by an individual asset's IRR model.     

Quasiextinction Probabilities as a Measure of Impact on Population Growth

A probabilistic language based on stochastic models of population growth is proposed for a standard language to be used in environmental assessment. Environmental impact on a population is measured by the probability of quasiextinction. Density-dependent and independent models are discussed. A review of one-dimensional stochastic population growth models, the implications of environmental autocorrelation, finite versus "infinite" time results, age-structured models, and Monte Carlo simulations are included. The finite time probability of quasiextinction is presented for the logistic model. The sensitivity of the result with respect to the mean growth rate and the amplitude of environmental fluctuations are examined. Stochastic models of population growth form a basis for formulating reasonable criteria for environmental impact estimates.     

An Integrated Decision Methodology for Designing and Operating an Air‐Express Courier's Distribution Network*

DHL, an international air‐express courier, has been operating in Hong Kong for many years. In 1998, the new international airport located at a site considerably distant from the old location opened in Hong Kong (HK). Other airport‐related infrastructure facilities have also been developed or are being developed, resulting in major changes in transport structure as well as a shift in customer demand. In this paper a multiyear distribution network is designed for DHL(HK) using an integrated network design methodology, which consists of a macro model and a micro model. The macro model, a mixed 0–1 LP, determines in an aggregate manner the least‐cost distribution network. The micro model, a simulation, evaluates the operational viability and efficacy of the network according to its service coverage and service reliability. We also illustrate how coverage and reliability can be improved via the integrated use of the two models. Extensive discussion on relevant planning and operational issues of an air‐express courier are included. The methodology has been successfully implemented at DHL(HK). It has been used to design the network, to test strategic decisions, and to update the network.