1,720,983 research outputs found

    A Meta-Analysis of the Relationship between Public Service Motivation and Job Satisfaction

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    In recent years much research has been conducted on the relationship between Public Service Motivation (PSM) and various outcomes, including job satisfaction. This paper presents a meta-analysis aggregating the effects of PSM on job satisfaction. Furthermore, meta-regression analysis is used to assess the impact of numerous study characteristics and to identify potential issues of publication bias. The findings, based on 28 separate studies, show no evidence of publication bias and support the positive relationship between PSM and job satisfaction. Furthermore, the results support the importance of providing individuals the opportunity to serve the public within this relationship. Given the organisational benefits that can be derived from improved job satisfaction and the focus of extant PSM research on its implications for job satisfaction, the findings of this study are of interest to both academics and practitioners in the field of public administration

    Public service motivation in the Chinese public and private sectors

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    Purpose – The purpose of this paper is to statistically test if the public service motivation (PSM) measure operates in the same way across the public and private sectors of a municipal district in China. It also contrasts the relationship between PSM and workplace outcomes across sectors and employee age groups. Design/methodology/approach – Survey data from independent samples of public (n = 220) and private (n = 230) sector employees in the Changsha Municipal District of China is used. The analysis tests for invariance across groups, before comparing mean values and regression weights. Findings – Only in respect of one PSM dimension do findings show a significant higher mean in the public sector. No significant difference is found on the impact of PSM on employee performance across sectors, while it is in the private sector that PSM has the greater impact on intention to leave. Findings also show no marked impact of age upon outcomes. Research limitations/implications – This study provides an initial set of results and further research will need to be undertaken to verify them. The limited sample size and narrow geographical focus, although in line with similar studies on China, means the ability to draw generalisations is limited. The reliance on self-reported measures means issues with common method bias cannot be ignored. Measures were taken during data collection to minimise issues of bias and a set of post-hoc test results are provided. Practical implications – The recruitment of employees with higher levels of PSM can be expected to play a role in achieving better outcomes, regardless of sector and age profile. Originality/value – The PSM measure has been applied by researchers across various economic sectors. This paper is one of the first to statistically test if the concept and its measure operates in the same way across sectors. The paper contributes to the on-going debate on PSM in the context of China and its relationship with a number of key output variables. Finally, the paper contributes to the emerging debate on changing workforce demographics and their role in shaping outcomes

    Assessing Performance Determinants of Higher Education Academics in Developed and Emerging Economies: UK vs Vietnam

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    Two major universities were used in this study (one from the UK and one from Vietnam) to examine the role of various employee and job characteristics that determine academics’ performance. The backgrounds of the higher education systems of the UK and Vietnam are presented. The research demonstrates the importance of individual characteristics in determining both academic teaching and research performance, regardless of developed or emerging economy context. Of particular interest, tenure is also found to be a significant determinant of research performance. However, organizational characteristics are found to have no statistically significant impact on academics’ performance

    THE NUMBER OF Fq-POINTS ON DIAGONAL HYPERSURFACES WITH MONOMIAL DEFORMATION

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    © 2024 The Author, under license to MSP (Mathematical Sciences Publishers). Distributed under the Creative Commons Attribution License 4.0 (CC BY). Open Access made possible by subscribing institutions via Subscribe to Open. cc-byWe consider the family of diagonal hypersurfaces with monomial deformation Dd,λ,h: xd1 + xd2 +· · ·+ xdn − dλ xh21 xh32… xhn n = 0, where d = h1 + h2 +· · ·+ hn with gcd(h1, h2,…, hn) = 1. We first provide a formula for the number of Fq-points on Dd,λ,h in terms of Gauss and Jacobi sums. This generalizes a result of Koblitz, which holds in the special case d | q −1. We then express the number of Fq-points on Dd,λ,h in terms of a p-adic hypergeometric function previously defined by the author. The parameters in this hypergeometric function mirror exactly those described by Koblitz when drawing an analogy between his result and classical hypergeometric functions. This generalizes a result by Sulakashna and Barman, which holds in the case gcd(d, q −1)=1. In the special case h1 = h2 =· · ·= hn =1 and d = n, i.e., the Dwork hypersurface, we also generalize a previous result of the author which holds when q is prime

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    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

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    “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

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    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

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    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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