1,720,954 research outputs found
DIGITAL LEADERSHIP: COMPETENCIES AND CHARACTER DIMENSIONS FOR PUBLIC-SECTOR IT LEADERS
Full text linkDigitalization has changed the leadership paradigm for public-sector information technology (IT) leaders, requiring them to shift from being back-office managers to becoming effective C-suite strategic leaders. As the Ontario Government addresses the impact of the Covid-19 pandemic, IT capabilities are key levers to improve service effectiveness and to maximize value for money. The purpose of this quantitative correlational study is to investigate the leadership competencies and character dimensions that improve the effectiveness of public-sector IT leaders in today’s digital environment. The competencies are the ability to Anticipate environmental changes, the willingness to Challenge status quo, the ability Decide on investment strategies, the ability to Align with stakeholder values and the willingness to build a Learning culture. The character dimensions are Judgement, Accountability and Collaboration. Using a combination of strategic leadership and character dimension questions, a survey of 2,554 IT staff was completed from January to March of 2021. An exclusive data collection strategy using convenient and random sampling was used and 475 usable surveys were obtained. CFA and PLS-SEM were used for data analysis, and it was found that only the independent variables Decide, Align, Collaboration, Accountability and Judgement have significant impact on the dependent variable Effective Leadership in a digital environment. No statistical evidence was found to suggest that Anticipate, Challenge and Learn significantly impacted Effective Leadership. Additionality, the results suggest that during times of emergency management, character dimensions are more valued than leadership competencies for effective IT leadership. The findings have practical implications to support the recruitment and development of public-sector IT leaders through more deliberate emphasis on character dimensions and context-based emphasis on competences. The study is therefore a contribution to the body of knowledge on the integration of leadership competencies and character dimensions for effective IT leadership in a digital environment.
Keywords: leadership, character dimensions, competence, digitalization2022-0
CHARACTER DIMENSIONS REQUIRED FOR IT LEADERSHIP EFFECTIVENESS IN THE PUBLIC SECTOR
Full text linkDigitalization has changed the leadership paradigm for public-sector information technology (IT) leaders. Effective IT leadership is therefore needed to ensure that the government is maximizing the return on its investment in IT and adapting well to digitalization. There is evidence that in the past, some public-sector IT projects have failed or have been executed poorly due to various factors, including poor leadership. Meanwhile, more actionable research is needed to integrate leadership behaviors into digital transformation. This study aims to investigate the leadership character dimensions that improve the effectiveness of public-sector IT leaders in leading digital transformation projects. We adopted random sampling to collect survey data from 475 public-sector employees in Ontario, Canada. We used the smart PLS structural equation modeling procedure to analyze the data. The results revealed that collaboration, accountability, and judgment of the IT leadership impact effective leadership in a digital environment
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Full text linkWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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