1,720,970 research outputs found
LOCAL POLITICAL TRUST: THE ANTECEDENTS AND EFFECTS ON EARTHQUAKE VICTIMS' CHOICE FOR ALLOCATION OF RESOURCES
We empirically investigated the antecedents and effects of local political trust. The survey data (N = 424) were collected during postearthquake rehabilitation and reconstruction in China's Sichuan province in 2008. Findings indicate that local political trust is shaped not only by policy appraisal, but also by perceptions of informational and emotional support from the local government. The attitudinal and behavioral consequences of trust suggest that the more that people trust, the more positive will be their evaluation of the local government, and the more resources they will be willing to allocate to communal facilities. Finally, the theoretical and applied implications of this study are discussed
SHARED MENTAL MODELS AS MODERATORS OF TEAM PROCESS-PERFORMANCE RELATIONSHIPS
The effects of shared mental models on the relationship between episodic team behavioral processes and performance were investigated, while teams were using an expenmentally stimulated construction project planning program. The results indicated that episodic team processes made positive contributions to the team performance. Furthermore, a hierarchical linear regression indicated that the convergence of shared teamwork mental models moderated the effects of team processes on team performance Specifically, the positive Impact of team processes on performance was found to be improved for those teams who shared more similar teamwork mental models than for teams who hold fewer similar teamwork mental models. Potential implications and relevant impacts on future research are discussed
TASK CHARACTERISTICS AND TEAM PERFORMANCE: THE MEDIATING EFFECT OF TEAM MEMBER SATISFACTION
Team design characteristics are important antecedents in Input-Process-Outcome models. The aim of this study was to explore the relationships among traditional task characteristics (task meaningfulness, autonomy, and feedback), team performance, and team member satisfaction within the same framework. We collected data from 382 members and 100 managers of 100 teams. The results of structural equation analysis partly supported our theoretical framework. Team member satisfaction mediated the effects of task autonomy and feedback on the team performance. Task meaningfulness had a directly positive effect on team performance. These results draw attention to the different effects of the aspects of traditional task characteristics and the satisfaction-performance relationship in a team context.Team design characteristics are important antecedents in Input-Process-Outcome models. The aim of this study was to explore the relationships among traditional task characteristics (task meaningfulness, autonomy, and feedback), team performance, and team member satisfaction within the same framework. We collected data from 382 members and 100 managers of 100 teams. The results of structural equation analysis partly supported our theoretical framework. Team member satisfaction mediated the effects of task autonomy and feedback on the team performance. Task meaningfulness had a directly positive effect on team performance. These results draw attention to the different effects of the aspects of traditional task characteristics and the satisfaction-performance relationship in a team context
The effects of attitudinal structural consistency on attitude, intention, behavior and their relationships
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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