Progress,democracy, efficiency: normative narratives in political science EU studies

ABSTRACT

This article identifies influential political narratives in the 73 currently most highly cited political science articles on the EU. It is based on systematic analysis of expressions of normativity, which signal that European integration, or its institutions or policies, are bad, good, flourishing or declining. A normative narrative of continuous progress in integration, connected with a 1990s grand theoretical debate in EU studies, accounts for much of the positive tone of EU studies until about 1998. Narratives about the EU's democratic deficit and its impact beyond its borders help explain the subsequent negative turn in EU studies normativity.     

Critical standpoint: Leaders of color advancing racial equality in predominantly white organizations

Organizations are often core sites for the production and perpetuation of social inequality. Although the United States is becoming more racially diverse, organizational elites remain disproportionately white, and this mismatch contributes to increasing racial inequality. This article examines whether and how leaders of color within predominantly white organizations can help their organizations address racial inequality. Our analysis uses data from a national study of politically oriented civic organizations and ethnographic fieldwork within one predominantly white organization. We draw on institutional work research, the outsider‐within concept, and insights from critical whiteness theory to explain how leaders of color can use their position and “critical standpoint” to help guide their organization toward advancing racial equality. The qualitative analysis shows how such leaders, when empowered, help their organization address race internally by (a) providing alternatives to white‐dominated perspectives, (b) developing tools to educate white members about racial inequality, and (c) identifying and addressing barriers to becoming a more racially diverse organization. The qualitative analysis also shows how leaders of color help their organization address race externally by (a) sharing personal narratives about living in a white‐dominated society and (b) brokering collaborations with organizations led by people of color. This research has implications for organizations seeking to promote social equality: Organizational leaders from marginalized status groups can help their organizations address social inequality, if those leaders possess a critical standpoint and sufficient organizational authority.     

Children's disaster knowledge,risk perceptions,and preparedness: A cross-country comparison in Nepal and Turkey

While children are one of the groups at risk in disasters, they can also take an active part in disaster management, provided that the opportunity is given. This research examined the effect of disaster experience, disaster education, country, and city socioeconomic status on children's perceived risk and preparedness with a survey of 1335 children between 11 and 14 years old, in Nepal and Turkey. The survey used questionnaires and the pictorial representation of illness and self measure (PRISM) tool. Results showed that (1) children's risk perceptions were in line with their country-specific objective risks; (2) there were differences between the countries in relation to perception of risk for all the hazards except wildfire; (3) socioeconomic status had a statistically significant effect on children's perceptions of risk and preparedness for earthquakes, wildfires, that is, children who live in wealthier places had higher perceived risk and preparedness; (4) children in both countries showed similar trends in their knowledge of the correct protective actions to take in the event of a hazard occurrence. However, there is still room to enhance children's knowledge, in terms of safety behaviors, as the children selected many incorrect protective actions. There are important implications in terms of child-centered disaster management which hopefully will make life safer and help to create more resilience to disaster in society as a whole.     

Higher Order Properties of Gmm and Generalized Empirical Likelihood Estimators

In an effort to improve the small sample properties of generalized method of moments (GMM) estimators, a number of alternative estimators have been suggested. These include empirical likelihood (EL), continuous updating, and exponential tilting estimators. We show that these estimators share a common structure, being members of a class of generalized empirical likelihood (GEL) estimators. We use this structure to compare their higher order asymptotic properties. We find that GEL has no asymptotic bias due to correlation of the moment functions with their Jacobian, eliminating an important source of bias for GMM in models with endogeneity. We also find that EL has no asymptotic bias from estimating the optimal weight matrix, eliminating a further important source of bias for GMM in panel data models. We give bias corrected GMM and GEL estimators. We also show that bias corrected EL inherits the higher order property of maximum likelihood, that it is higher order asymptotically efficient relative to the other bias corrected estimators.     

INDUSTRY STUDIES AND AMERICAN INDUSTRIAL PERFORMANCE

A nationwide research program on the performance of American industry, sponsored by the Alfred P. Sloan Foundation, now involves scores of faculty researchers and more than 100 graduate students at several American universities. Ten research centers have been established, and each one is dedicated to the study of a particular industry. An eleventh center is carrying out research on problems that cut across these industries. It is expected that the Sloan Industry Studies program will make useful contributions to the performance of the industries themselves, to policymaking at all levels of government, and to the development of interdisciplinary research communities within the universities.     

THE IMPACT OF HUMAN ERROR ON DELIVERING SERVICE QUALITY

This paper opens a new avenue for investigation of quality issues in services. We take the viewpoint that a substantial portion of service failures is the result of human error in the delivery process. Drawing upon the Generic Error Modeling System (gems) from the cognitive science literature, we develop a framework for understanding the role of human error in service failures. An empirical investigation assesses the applicability of this framework to services, identifies which error mechanisms are important sources of service failure, and clarifies how the different roles of customers and providers affect the errors made by each.     

A COMPARISON OF PRODUCTION SCHEDULING POLICIES ON COSTS,SERVICE LEVEL,AND SCHEDULE CHANGES

We consider a single product, single level, stochastic master production scheduling (Mps ) model where decisions are made under rolling planning horizons. Outcomes of interest are cost, service level, and schedule stability. The subject of this research is the Mps control system: the method used in determining the amount of stock planned for production in each time period. Typically, Mps control systems utilize a single buffer stock. Here, two Mps dual-buffer stock systems are developed and tested by simulation. We extend the data envelopment analysis (dea ) methodology to aid in the evaluation of the simulation results, where Dea serves to increase the scope of the experimental design. Results indicate that the dual-buffer control systems outperform existing policies.     

The Auditor's Going-Concern Disclosure as a Self-Fulfilling Prophecy: A Discrete-Time Survival Analysis*

The question of how an auditor's going-concern disclosure affects a client's future operations has long troubled the auditing profession. In an attempt to provide further understanding of this issue, we introduce Discrete-Time Survival Analysis (DTSA) to examine the aftermath of 231 first-time going-concern disclosures on clients' subsequent continuance. DTSA represents a significant refinement over traditional ordinary least squares (OLS) and logistic (LOGIT) regression in that it provides not only a probability estimate, but also an estimate of the timing of the event occurrence. The addition of this extra dimension (event timing) aids decision makers by providing more complete information about event probabilities. Consistent with the “self-fulfilling prophecy effect,” the risk profiles developed from DTSA indicate that the first year subsequent to the initial going-concern disclosure was the most dangerous in terms of risk of bankruptcy. However, after the first year, the incidence of bankruptcy decreases significantly. Thus, DTSA is able to provide a richer perspective on this perplexing issue than previously considered.