Ordering univariate distributions by entropy and variance

This paper examines the role of variance and entropy in ordering distributions and random prospects. There is no universal relation between entropy and variance orderings of distributions. But we place their relationship in the context of a stronger ordering relation known as dispersion ordering. Further, some conditions are identified under which variance and entropy order similarly when continuous variables are transformed. We also analyze parametric changes which do not disturb the agreement between these rankings. The results are conveniently tabulated in terms of distribution parameters.     

Inequality,Inflation, and their Impact on China's Investment Environment in the 1990s and beyond

Inequality, inflation, and unemployment have become increasingly explosive problems in today's China. In conjunction with an analysis of the spatial pattern of inflation, this paper examines the current trend of China's spatial disparities, in terms of economic output, real consumption, and real income, within inter-provincial, inter-regional and urban-rural framework. This paper also investigates the combined effect of the current high rate of inflation and spatial disparity on China's investment and business environment in the 1990s. Findings of this paper suggest that inter-regional inequalities in economic development and income distribution, especially since 1990, have been accelerated/exacerbated by high inflation, which appears to hit the poorer areas disproportionally. Given the reinforcement of disparity and inflation and the current upsurges of rampant localism, the investment and business environment of China in the 1990s, in terms of political and social unrest and economic profitability, will be severely undermined and will, therefore, become increasing uncertain. It is likely that this trend will extend beyond the millenium and last at least until the early 2000s.     

Job Loss and Entrepreneurship

We examine the impact of job loss on entrepreneurship behaviour. Our identification strategy relies on the use of mass layoffs caused by bankruptcies as indicators of exogenous displacement. Building on Norwegian register data, we find that working in a company which is going to close down due to bankruptcy in the near future raises the subsequent entrepreneur propensity by 155% for men and 180% for women, compared to working in a stable firm. These estimates are much larger than previously reported in the literature. Taking into account that many workers lose their jobs in the comparison group of stable firms also, we suggest that the full effects of displacement are even larger.     

Goodness-of-fit tests for parametric nonhomogeneous Markov processes

Tests for parametric nonhomogeneous and homogeneous Markov processes are given. Asymptotic distribution of test statistics is investigated. Tests for various well-known models are discussed as examples.     

Antecedents and Consequences of User Coproduction in Information System Development Projects

Based on a coproduction concept highlighted by service‐dominant logic, this study attempts to understand the antecedents and consequences of user coproduction in information system development projects. As a key contribution, we posit that user coproduction is influenced by social capital between users and developers; we then postulate that user coproduction determines the project outcomes. Paired data collected from both user representatives and developers by using a survey approach was used to test proposed hypotheses. The results showed that user coproduction has a positively significant influence on project outcomes, and social capital between user representatives and developers is also associated with user coproduction.     

Sorting it out: pile sorting as a mixed methodology for exploring barriers to cancer screening

We discuss a mixed methodology for analyzing pile sorting data. We created a list of 14 barriers to colon cancer screening and recruited 18, 13, and 14 participants from three American Indian (AI) communities to perform pile sorting. Quantitative data were analyzed by cluster analysis and multidimensional scaling. Differences across sites were compared using permutation bootstrapping. Qualitative data collected during sorting were compiled by AI staff members who determined names for the clusters found in quantitative analysis. Results showed five clusters of barriers in each site although barriers in the clusters varied slightly across sites. Simulation demonstrated type I error rates around the nominal 0.05 level whereas power depended on the numbers of clusters, and between and within cluster variability.     

Disaster relief routing: Integrating research and practice

Disaster relief presents many unique logistics challenges, with problems including damaged transportation infrastructure, limited communication, and coordination of multiple agents. Central to disaster relief logistics is the distribution of life-saving commodities to beneficiaries. Operations research models have potential to help relief agencies save lives and money, maintain standards of humanitarianism and fairness and maximize the use of limited resources amid post-disaster chaos. Through interviews with aid organizations, reviews of their publications, and a literature review of operations research models in transportation of relief goods, this paper provides an analysis of the use of such models from the perspective of both practitioners and academics. With the complexity of disaster relief distribution and the relatively small number of journal articles written on it, this is an area with potential for helping relief organizations and for tremendous growth in operations research.