1,720,955 research outputs found
Analysis of Gen Z's Readiness to Leverage AI in Green Jobs
As an environmental issues enthusiast and tech-savvy generation, Gen Z is poised to benefit from green and digital transitions by utilizing AI in their preferred green jobs. This study uses a qualitative approach to describe Gen Z's readiness to use AI in green jobs based on the Readiness for Organizational Change theory. The study employed purposive sampling to interview 19 Gen Z employees in green jobs (academia, business, community, and public sectors), supported with literature reviews. The research examines readiness through four key aspects: appropriateness, management support, change efficacy, and personal valence. It also analyzes Gen Z’s perceptions of AI’s importance, benefits, uses, and the challenges in the application. The findings show that Gen Z employees view AI as essential for enhancing work efficiency and productivity, though they face some challenges. Various organizational approaches to AI adoption highlight that AI integration is not just technological, but also cultural. This research offers insights for organizations to create an enabling environment to use AI effectively. Furthermore, this study encourages the organization’s management to gain a deeper understanding of Gen Z employees’ application of AI in green jobs to support their workforce in adapting to technological advancements
Tinjauan Regulasi dan Kebijakan dalam Pengembangan Green jobs di Indonesia
Green jobs have become a new trend in recent years, as they are needed by various industrial sectors. Regulatory support is a key aspect in mainstreaming green jobs. Green jobs are typically associated with occupations that contribute to preserving or restoring the environment, both in traditional sectors such as manufacturing and construction, as well as in emerging green sectors like renewable energy and energy efficiency. This research aims to describe the regulatory framework in the development of green jobs in Indonesia. It is a descriptive qualitative study that primarily relies on secondary data, reviewing regulations related to green jobs. Additionally, this research is supplemented by other literature sources such as journal articles, books, institutional publications, and websites. The results show that there is no specific and integrated regulation in Indonesia for the development of green jobs. Furthermore, policy implementation largely focuses on the integration of environmental issues in general and is predominantly driven by the central government, with a top-down approach. The recommendation of this research emphasizes the importance of having specific and targeted regulations that include standards related to green jobs. Moreover, it calls for a policy framework that is not only top-down oriented but also incorporates a bottom-up approach to foster more inclusive collaboration between various stakeholders, both state and non-state actors, in promoting green job sectors across Indonesia
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We 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.
Author-wise bibliometric analysis based on entropy.</p
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