What causes more mistrust: profile owners deleting user-generated content or website contributors masking their identities?

People regularly rely on user-generated contributions to websites to inform their opinions about people, companies, organizations, and products. This study examines how two website affordances uniquely affect the evaluation of user-generated content. Specifically, an experiment was conducted that varied whether a website (a) affords profile owners the ability to delete user-generated contributions or (b) verifies the identity of users who post evaluations of profile owners. The results suggest that although deleting user-generated content is viewed as more problematic, both forms of information control independently affect how viewers evaluate a website and the content it hosts. The findings help establish the conditions under which certain forms of information control differentially produce uncertainty and mistrust and thus have direct implications for warranting theory.     

Second-order properties of intraclass correlation estimators for a symmetric normal distribution

Consider the problem of estimating the intraclass correlation coefficient of a symmetric normal distribution under the squared error loss function. The general admissibility of the standard estimators of the intraclass correlation coefficient is hard to check due to their complicated sampling distributions. We follow the asymptotic decision-theoretic approach of Ghosh and Sinha (1981) and prove that the three standard intraclass correlation estimators (the maximum-likelihood estimator, the method-of-moments estimator and the first-order unbiased estimator) are second-order admissible for all p ≥ 2, p being the dimension of the distribution.     

Estimates of trade-related adjustment costs in Syria

The scope and complexity of international trading arrangements in the Middle East, as well as their spotty historical record of success, underscore the urgent need for an adequate understanding of the relative costs and benefits of participation in preferential trading arrangements and, more generally, of changes in the domestic import regimes. This paper seeks to address this problem by providing estimates of the adjustment costs associated with two broad classes of hypothetical trade policy scenarios for Syria: participation in the proposed EU-Syria Association Agreement, and border tax-related changes affecting the domestic import regime. We find that the revenue consequences of the first scenario are likely to be low if an appropriate stepwise implementation of the agreement can be ensured; our analysis of the second scenario suggests that all border taxes can be eliminated, and the number of tariff bands reduced, while ensuring revenue neutrality, if a VAT of a reasonable size is introduced.     

From Narcissistic Exploitativeness to Bullying Behavior: The Mediating Role of Approval‐of‐aggression Beliefs

This study examined the role of approval‐of‐aggression beliefs in the relationship between narcissistic exploitativeness and bullying behavior in an Asian sample (N = 809) comprising elementary children and middle school adolescents. Narcissistic exploitativeness was significantly and positively associated with both bullying behavior and approval‐of‐aggression beliefs, and approval‐of‐aggression beliefs was significantly and positively associated with bullying behavior. Additionally, findings indicated that approval‐of‐aggression beliefs was a statistically significant mediator and 53 percent of the total effect of narcissistic exploitativeness on bullying behavior was mediated by approval‐of‐aggression beliefs. Approval‐of‐aggression beliefs did not moderate the association between narcissistic exploitativeness and bullying behavior. There are important theoretical implications as well as implications for prevention and intervention efforts targeting aggressive, bullying behavior among children and adolescents.     

A GEE approach to estimating accuracy and its confidence intervals for correlated data

In this paper, we provide a method for constructing confidence interval for accuracy in correlated observations, where one sample of patients is being rated by two or more diagnostic tests. Confidence intervals for other measures of diagnostic tests, such as sensitivity, specificity, positive predictive value, and negative predictive value, have already been developed for clustered or correlated observations using the generalized estimating equations (GEE) method. Here, we use the GEE and delta‐method to construct confidence intervals for accuracy, the proportion of patients who are correctly classified. Simulation results verify that the estimated confidence intervals exhibit consistent/appropriate coverage rates.     

Experiences of trafficked and sexually exploited boys transitioning from shelter programmes into the community: Findings from a longitudinal study

This article explores the perspectives of Cambodian boys who have experienced human trafficking and sexual exploitation on their experiences transitioning out of shelters and re‐entering the community. We used an interpretive phenomenological approach to analyse 81 interviews and narrative summaries of interviews drawn from Chab Dai's 10‐year longitudinal study with survivors in Cambodia (n = 22). Themes included: minimal involvement in planning for re/integration; conflicted feelings about life in the community; challenges completing school and securing employment; importance of community‐based services; unfulfilled expectations; violence in the community; and a desire to return to the shelter.     

Urban E-Government Initiatives and Environmental Decision Performance in Korea

Although e-government initiatives have been credited as enginesof government reform, empirical evidence is insufficient todetermine their effects on public sector performance. To explorethe impact of e-government on local governance, this articleexamines how e-government initiatives influence the perceivedperformance of environmental decision making in an urban contextand what organizational and contextual factors affect Web-aideddecision performance. Data were collected from the content analysisof city government Web sites and a nationwide survey of cityofficials in Korea. Findings from path analysis show that (1)information technology leadership of senior management and Website quality are key to decision intelligence, quality, andspeed and (2) e-government Web divide, a gap in the capabilityof city Web sites to support public service delivery and democraticinteraction, translates into disparities in environmental decisionperformance across cities. Additionally, environmental activismis a significant factor shaping the impact of e-government onenvironmental decision making. E-government initiatives contributeto local governance performance, but their impacts vary, dependingon Web site quality and the entrepreneurial leadership of publicmanagers.     

A Model for Measuring Supplier Risk: Do Operational Capability Indicators Enhance the Prediction Accuracy of Supplier Risk?

The purpose of this study was to develop a supplier risk assessment model for buyers to estimate supplier risk. It is one of the few empirical studies that considers both operational capability indicators and financial indicators; a standard logit model with five key variables (switching cost, operating profit margin, asset turnover ratio, quality capability and technological capability) was suggested as a practical tool. This model not only enhanced the accuracy of supplier risk assessment, but also served as a core element of a new supply chain management tool, ‘supplier management at risk’. More practically, the model enables purchasing firms to assess supplier risk and take proactive measures against the estimated risk.     

Order test for high-dimensional two-sample means

We propose a new method to test the order between two high-dimensional mean curves. The new statistic extends the approach of Follmann (1996) to high-dimensional data by adapting the strategy of Bai and Saranadasa (1996). The proposed procedure is an alternative to the non-negative basis matrix factorization (NBMF) based test of Lee et al. (2008) for the same hypothesis, but it is much easier to implement. We derive the asymptotic mean and variance of the proposed test statistic under the null hypothesis of equal mean curves. Based on theoretical results, we put forward a permutation procedure to approximate the null distribution of the new test statistic. We compare the power of the proposed test with that of the NBMF-based test via simulations. We illustrate the approach by an application to tidal volume traces.