Suchergebnisse

Abstract
This study attempts to resolve two issues in social trust research: the negative or positive effect of particularized trust (PT) and the causality between institutional trust (IT) and generalized trust (GT). It analyzes two types of data from South Korea: pooled data of cross-sectional national probability surveys; and online experimental three-wave panel data. Analyses of cross-sectional data suggest new classifications of trust types, family trust (FT) qualitatively different from PT, and the covariates of GT. Panel data analyses bolster the findings from cross-sectional data analysis and confirm a causal antecedence and lagged effects of IT. These findings imply that keys to achieving a high trust society are overcoming intense FT, expanding the radius of PT, and enhancing IT.

Although trust is a lively area of research, it is rarely investigated in countries outside of commonly available cross-national public-opinion datasets. In an effort to fill this empirical void and to draw conclusions concerning the general determinants of trust, the current article employs detailed survey data from a frequently overlooked Central Asian country, Uzbekistan, to test the relationship between particularized trust and demographic traits previously identified as influential. While a number of Uzbek demographic characteristics coincide with previously identified determinants of trust, age and education yield negative effects not previously found. Interestingly, individual-level demographic variables become insignificant when controlling for regional, religious, and linguistic variation. We conclude with a discussion of the theoretical implications. [Reprinted by permission of Sage Publications Ltd., copyright, the International Political Science Association.]

Trust in the news media received wide scholarly attention for almost a century, which was further boosted as a result of recent developments in the media landscape and changes in how news is made and consumed. Despite that, the conceptualization of trust in the news media is still debated, and its measurement comparability has not yet been established. In this paper, I build up on earlier conceptualizations of trust in the news media, and test three theoretically derived measurement models to determine their cross-cultural equivalence in 28 EU countries. Using Eurobarometer data, I test the validity and comparability of these measurements employing multi-group confirmatory factor analysis. The findings indicate that trust is a unidimensional latent construct, equally interpreted across contexts. People's level of trust in the news media reflects their general attitude to the news stories and reporters in all sources of media they are exposed to. While bifactorial measurements of news media trust, differentiating between legacy and online sources, have some merit in single case-studies, they are non-invariant and therefore non comparable. This means that any cross-population differences found employing them are likely a function of measurement idiosyncrasies or other unknown factors.

Although many consider trust as a desirable value in administration, they also find it elusive. The meaning of trust gets more elusive when one seeks to optimize it in administration. The article takes on this quest first by addressing trust as a relational fact, and then, identifying the dynamic conditions of its optimization. Organizational control and organizational learning are discussed as two such conditions—in their embedded as well as enacted forms. Using the contingencies of control and learning, the article delineates a model of optimal trust, where optimality is located in the dynamic interfaces of control and learning that simultaneously maximize the enabling conditions of trust and minimize its disabling conditions.