1,720,958 research outputs found
Digital Job Platform: un'analisi semi-sistematica della letteratura
No full textLo scopo del presente lavoro è comprendere le tendenze negli studi sulle Digital Job Platforms analizzandole con riferimento a diversi domini scientifici. Con l'obiettivo di sviluppare un quadro concettuale preliminare, è stata condotta una revisione sistematica della letteratura di riferimento in due stadi. Il primo stadio della revisione sistematica della letteratura è stato focalizzato su tre domini scientifici (Business, Accounting & Management, Computer Science, Mathematics) nell’arco temporale 2018- 2022 e ha permesso di individuare cinque macro-temi rilevanti nello studio delle Digital Job Platform nelle quali sono state collocate 37 pubblicazioni. Il secondo stadio è stato focalizzato su cinque domini scientifici (Business, Accounting & Management, Computer Science, Mathematics, Social Science, Decision Science) nell’arco temporale 2003-2023 e ha permesso di individuare un ulteriore macro-tema nei quali sono state collocate 52 pubblicazioni. In entrambi gli stadi della review sono stati identificati i temi relativi ad ogni pubblicazione. Questa analisi a doppio stadio ha permesso di individuare tre dimensioni di analisi delle Digital Job Platform che prescindono dal dominio scientifico oltre che una discreta contaminazione tra domini scientifici e, all’interno dello stesso dominio, tra macro-temi
ll valore pedagogico e culturale della trasmissione dell’esperienza tra generazioni in ambito accademico
No full text
When algorithms help cross-cultural management educators: a proposed supportive tool
No full textThis study explores the conceptualization and design of a supportive tool aiming at assessing the student Cross-
Cultural Competence (CCC) within the context of higher education. Employing Principal Component Analysis (PCA)
and non-hierarchical Cluster Analysis (non-HCA), the research aims to discern patterns and similarities in student data
to aid in the conceptualization of the supportive tool for cross-cultural management educators. It coherently to the
relevant literature discourse examines the impact of several factors, including experiences in foreign countries and
participation in academic courses with a cross-cultural emphasis. This algorithm is also designed to assist in creating
tailored strategies for enhancing students’ CCC by exploiting identified cluster compositions. Data was gathered through
a specifically designed survey based on literary research orientations and distributed to students across bachelor’
s and
master’
s degree programs at the University of Salerno. The PCA identified three principal components exerting a
significant influence on students’ capability to navigate diverse cultural environments. Subsequent non-HCA defined
distinct student traits, thereby providing deeper insights into the assessment of CCC. The algorithm, based upon these
statistical methodologies, can enhances the automation of future survey analyses across diverse contexts. This
advancement provides cross-cultural management educators with a supportive tool for fostering CCC through the
deployment of customized educational strategies, tailored to the unique attributes of the students
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
Digital Job Searching and Recruitment Platforms: A Semi-systematic Literature Review
No full textThe purpose of this paper is to shed light on the new E-recruitment trend that is pervading the lives of job seekers, included students, and job offers. A semi-systematic literature review on digital job searching and recruiting platform in the last five years was conducted with the aim to develop a preliminary conceptual framework. Following a replicable research process, a final sample of 37 publications was located in five subdimensions - Web Application Framework, Use of Artificial Intelligence technologies, Use of Blockchain Technologies, Type of User, User Experience - grouped by two dimensions of analysis: “Technical implementation of the platform”, “Platform usability analysis”. From our findings it emerges that the first one received strong attention, specifically with regards to subdimensions Web Application Framework and Use of the Artificial Intelligence Technologies; the subdimension Use of the Blockchain Technologies started to attract scholarly attention only from 2020. The second dimension of analysis has received a fair amount of attention over the last five years, but it seems that in 2021 the sub-dimension Type of User is perceived as the most attractive from scholars from different field of studies.
The contribution of this work is twofold. Firstly, it tries to shed lights on the main characteristics of the studies about the job searching and recruiting platforms as derived from the publications included in our review identifying appropriate dimensions and sub-dimensions of analysis that could be useful to analyze these platforms in the future. Secondly, for each sub-dimensions we identified the major challenges that authors have set out to address. This specific aspect will be helpful to identify the future research agenda for the topic investigated
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
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