Information Technology in Public Services: Towards the Contractual Organization?

The growing trend towards information technology (IT) outsourcing is analysed within the UK public sector. The paper first details the research findings on factors influencing the degree of success experienced in a range of IT outsourcing deals. These factors are then utilized as a framework for analysing and discussing two case histories—of selective and large-scale IT outsourcing—drawn from different parts of the public sector. Both demonstrate how distinctive public-sector contexts influence the direction and degree of outsourcing. At the same time they highlight a range of managerial and organizational issues raised by moves towards contractual, core competence forms of organizing. Selective outsourcing is revealed as effective provided key decisions and actions are taken. The large-scale outsourcing case raises a number of critical issues not just for how it can be conducted in public-sector contexts, but also about the efficacy of such arrangements in terms of cost savings, possible over-dependence on a few suppliers, and ability to respond flexibly to changing political requirements and legislation.     

Does Hearing About Cancer Influence Stimulus Control? An Exploratory Study of Verbal Modulation of Stimulus Generalization

The Analysis of Verbal Behavior - Participants first became familiar with an image showing moderate symptoms of the skin cancer melanoma. In a generalization test, they indicated whether images...     

A World of Giving

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Using the Inverse Maximum Ratio-Λ as a Technique to Quantify Surface Uniformity

Techniques used in variability assessment are subsequently used to draw conclusions regarding the “spread”/uniformity of data curves. Due to the limitations of these techniques, they are not adequate for circumstances where data manifest with multiple peaks. Examples of these manifestations (in three-dimensional space) include under-foot pressure distributions recorded for different types of footwear (Becerro-de-Bengoa-Vallejo et al., 2014 Biau, D.J. (2011). In brief: Standard deviation and standard error. Clinical Orthopaedics and Related Research 469(9):2661–2664.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Cibulka et al., 1994 Cibulka, M.T., Sinacore, D.R., Mueller, M.J. (1994). Shin splints and forefoot contact running: A case report. Journal of Orthopaedic &; Sports Physical Therapy 20(2):98–102.[Crossref], [PubMed], [Web of Science ®] , [Google Scholar]; Davies et al., 2003 Davies, M.B., Betts, R.P., Scott, I.R. (2003). Optical plantar pressure analysis following internal fixation for displaced intra-articular os calcis fractures. Foot &; Ankle International 24(11):851–856.[PubMed], [Web of Science ®] , [Google Scholar]), surface textures and interfaces designed to impact friction, and and and molecular surface structures such as viral epitopes (Torras and Garcia-Valls, 2004 Torras, C., Garcia-Valls, R. (2004). Quantification of membrane morphology by interpretation of scanning electron microscopy images. Journal of Membrane Science 233(1–2):119–127.[Crossref], [Web of Science ®] , [Google Scholar]; Pacejka, 1997; Fustaffson, 1997). This article proposes a technique for generating a single variable – Λ that will quantify the uniformity of such surfaces. We define and validate this technique using several mathematical and graphical models.     

Zero-inflated sum of Conway-Maxwell-Poissons (ZISCMP) regression

While excess zeros are often thought to cause data over-dispersion (i.e. when the variance exceeds the mean), this implication is not absolute. One should instead consider a flexible class of distributions that can address data dispersion along with excess zeros. This work develops a zero-inflated sum-of-Conway-Maxwell-Poissons (ZISCMP) regression as a flexible analysis tool to model count data that express significant data dispersion and contain excess zeros. This class of models contains several special case zero-inflated regressions, including zero-inflated Poisson (ZIP), zero-inflated negative binomial (ZINB), zero-inflated binomial (ZIB), and the zero-inflated Conway-Maxwell-Poisson (ZICMP). Through simulated and real data examples, we demonstrate class flexibility and usefulness. We further utilize it to analyze shark species data from Australia's Great Barrier Reef to assess the environmental impact of human action on the number of various species of sharks.     

The Effect of Population Growth on Economic Growth: A Meta‐Regression Analysis of the Macroeconomic Literature

Many studies have sought to gauge the impact of population growth on economic growth. A well‐known stylized fact of this literature is that the estimated effects of population growth measures on economic growth are not robust, varying between being positive, negative, and insignificantly different from zero. The present study analyzes 471 statistical regressions from 29 prominent economic growth studies using meta‐regression analysis to identify the effect of alternative methodologies on key population growth results. This study finds that a broad set of methodological factors explains more than half of the variation in the population growth effects observed from this literature, including the types of variables used to measure population growth, the countries selected, the time frame of the analysis, and the nature of the control variables specified. The study also yields results that have implications for policymakers, especially insofar as several policy factors seem to influence the population change–economic growth nexus. Particularly strong is the evidence in support of the increasingly adverse effects of population growth in the post‐1980 period, suggesting that demographic issues should warrant greater attention than they currently receive from the policymaking community.