Inclusion of persons with disabilities in mainstream employment: is it really all about the money? A case study of four large companies in Norway and Sweden

This study investigates how large companies respond to public policy measures to ensure the inclusion of persons with disabilities in mainstream employment based on a case study of four companies in Norway and Sweden. The qualitative interviews, which were conducted with company managers, government representatives in Norway, and non-governmental organisations in Sweden, revealed three overarching themes: (1) ‘legitimacy’, (2) ‘financial interests’ and (3) ‘non-financial support’. The results indicate a more proactive response from the Swedish companies, especially regarding persons with intellectual and learning difficulties. The Norwegian companies reveal a high commitment to their own employees. These findings cannot be explained solely using neo-institutional theory, which holds that organisations demonstrate ‘conformity with powerful institutional myths to strengthen support and secure survival'. The results indicate that inclusive targeted corporate policies and programmes, advisory support, and the agency and value choices of the management might matter more.     

Access to Water in the Slums of Sub‐Saharan Africa

This article reviews the changing perspectives for improving access to water in the slums of developing countries, especially in sub‐Saharan Africa. While much of the literature continues to maintain an aversion to state‐led urban development policies, there is now increasing emphasis on the importance of informal, small‐scale providers and communitarian initiatives, following the many failures of privatisation. The article argues that market‐oriented solutions are inappropriate for sub‐Saharan African countries where over two‐thirds of the urban population live in squatter settlements with multidimensional challenges.     

Functions of Concordance and Dependence with Related Measures

Some functions that serve as building blocks for construction of a wider range of modes of concordance and dependence are pointed. We probe into interplays of such modes. From the standpoint of their conformity to stochastic dominance ordering of distributions within a Fréchet class, all such derived modes display some parallelism under certain conditions. We finally suggest a novel numeric measure of dependence that covers similar existing measures in literature.     

Structural constraints and excess capacity: an international comparison of manufacturing firms

Excess capacity results in real and opportunity costs as well as lower factor productivity. Conventionally, variation in capacity utilisation rates has been explained with reference to the business cycles and market imperfections. In this article, we show that these two factors do not always fully explain the causes of idle capacity. Our findings suggest that manufacturing firms in low‐income countries tend to have lower capacity utilisation (CU) rates than those in middle‐ and upper‐middle‐income groups. To explain this peculiarity, it is proposed in this article that the level of excess capacity partly depends on supply‐side conditions and institutional variables. The findings provide strong support for this view and suggest that there are gains to be made in the manufacturing industries of the lower‐income countries through improvements in the structural conditions.     

A Preliminary Investigation of Risks for Adverse Outcomes of Relationship Seeking on Social Network Sites (SNS): A Descriptive Study of Women Over 50 Seeking Relationships on MySpace in Hillsborough County,Florida

In contrast to younger populations, little attention has been paid to the increase in seniors using Internet-based venues to find relationships and the potential risk for adverse outcomes this poses. This study examined data collected via an online survey from 45 ethnically diverse women aged 50+ “seeking relationships” on MySpace. The majority of women reported a relationship with someone they met online (85%). They also reported experiencing adverse events including financial exploitation (40%), threats (55%), and physical harm (38%) by someone they met online at levels greater than traditional relationship seeking in the general population. Directions for future research are explored.     

Effect of age and physical activity level on functional fitness in older adults

It is difficult to distinguish between the effects of age and physical activity level in the functional fitness level of older adults. The objective of this study was to determine the effects of age and physical activity level on some functional fitness parameters in community-dwelling older adults.Two hundred twenty-nine elderly (111 female; 118 male) aged between 65–87 years living in the Balçova municipality region were divided into two groups: the young elderly (65–69 years old) and the elderly (70 years old or over). The “seven-day physical activity recall questionnaire” was used to estimate physical activity level (PAL). The functional fitness evaluation included the body mass index (BMI), the lower body strength (LBS), the dynamic balance, and the aerobic endurance. The young elderly were significantly worse with regard to BMI and significantly better with regard to LBS, dynamic balance, and aerobic endurance than the elderly; in contrast, PAL did not affect any of the functional fitness parameters. The young elderly showed worse BMI than the elderly when the age groups were less active. The young elderly showed better LBS and dynamic balance than the elderly when the age groups were more active. The young elderly showed significantly better aerobic endurance than the elderly in both the less and more active age groups. This study confirms that age affects functional fitness, whereas PAL generally does not. However, being more active is advantageous for the young elderly with regard to BMI, LBS, and dynamic balance.     

Improvement in Estimating the Population Median in Simple Random Sampling and Stratified Random Sampling Using Auxiliary Information

This paper deals with estimation of population median in simple and stratified random samplings by using auxiliary information. Auxiliary information is rarely used in estimating population median, although there have been many studies to estimate population mean using auxiliary information. In this study, we suggest some estimators using auxiliary information such as mode and range of an auxiliary variable and correlation coefficient. We also expand these estimators to stratified random sampling for combined and separate estimators. We obtain mean square error equations for all proposed estimators and find theoretical conditions. These conditions are also supported by using numerical examples.     

Increasing Sales by Managing the Interlocking Contingencies Between Sales Representatives and Customers Using Behavioral Self-Monitoring

Interlocking contingencies that exist between a customer and sales representatives (SRs) may contribute to buying decisions. Verbal behaviors related to closing sales were identified by analyzing these contingencies statistically. Self-observation checklists were then implemented. On average, the six targeted verbal behaviors related to sales increased 12 percentage points over baseline, compared to a 2% point increase in the comparison group. These changes were associated with 126% more sales for the experimental group compared with 36% more sales for the comparison group. For each SR, this increase in sales translates into $1,094,444 more in annualized revenue.     

Ratio estimator for the population mean using ranked set sampling

We adapt the ratio estimation using ranked set sampling, suggested by Samawi and Muttlak (Biometr J 38:753–764, 1996), to the ratio estimator for the population mean, based on Prasad (Commun Stat Theory Methods 18:379–392, 1989), in simple random sampling. Theoretically, we show that the proposed ratio estimator for the population mean is more efficient than the ratio estimator, in Prasad (1989), in all conditions. In addition, we support this theoretical result with the aid of a numerical example.      

Comparisons of tests of distributional assumption in Poisson regression model

Count data consists of discrete non-negative integer values. Poisson regression model is one of the most popular model used to model count data. This model assumes that response variable has Poisson distribution. The purpose of this article is to assess distributional assumption of this model by using some goodness of fit tests. These tests are compared in respect to type I error and power rates of tests with different samples, parameters and sample sizes. Simulation study suggests that the most powerful tests are generally Dean–Lawless and Cameron–Trivedi score tests.