1,720,955 research outputs found
The contribution of big data technology in the recruitment process in Morocco
Get PDFThe advent of the fourth generation of industrialization has empowered companies to embrace new technologies that streamline data analysis. Among these tools, big data technology has played a pivotal role in assisting organizations in effectively managing vast amounts of data. This study aims to investigate the impact of big data technology on company performance. A sample of 150 Moroccan companies was divided into three groups: a control group that does not utilize any big data-based technology in their recruitment process, a group that partially relies on this technology, and a group that extensively relies on it. The findings reveal significant distinctions among the groups, showcasing qualitative advantages such as minimizing error risks and quantitative benefits such as reducing recruitment costs and time investment in the group relying on big data technology. Nevertheless, it is important to acknowledge certain limitations of our study. Firstly, the absence of quantifiable data from participating companies restricts our ability to fully validate the accuracy of their self-reported claims in the questionnaire. Secondly, the ongoing ambiguity surrounding the role of human recruiters within these structures warrants further investigation and clarification.
Keywords: Big Data Technology, Recruitment, HR Digitalization, OCR Matrix, Recruitment Performance
JEL Classification : M51, J60, J71, O33
Paper type: Empirical researchL'avènement de la quatrième génération d'industrialisation ou bien industrie 4.0 a permis aux entreprises d'adopter de nouvelles technologies qui optimisent l'analyse des données. Parmi ces outils, la technologie de la Big data qui joue un rôle crucial pour aider les entreprises à gérer efficacement de vastes quantités de données en ressources humaines. Cette étude a pour objectif d'étudier l'impact de la technologie des Big Data sur la performance de l'entreprise en matière de recrutement. Un échantillon de 150 sociétés marocaines a été divisé en trois groupes : un groupe de contrôle qui n'utilise aucune technologie basée sur la big data dans son processus de recrutement, un groupe qui s'appuie partiellement sur cette technologie et un groupe dont l'utilisation est étendue. Les résultats révèlent des différences importantes entre les groupes, montrant des avantages qualitatifs tels que la minimisation des risques d'erreur et des bénéfices quantitatifs comme la réduction des coûts de recrutement et de temps dans le groupe qui s'appuie sur la technologie des Big Data. Néanmoins, il est important de reconnaître certaines limites de notre étude. Premièrement, l'absence de données quantifiables provenant des entreprises participantes limite notre capacité à valider pleinement l'exactitude de leurs revendications auto-déposées dans le questionnaire. Deuxièmement, l'ambiguïté persistante qui entoure le rôle des recruteurs humains au sein de ces structures mérite d'être poursuivie et clarifiée.
Mots clés : la technologie de la Big Data, le Recrutement, la digitalisation des ressources humaines, Matrice OCR, la performance du recrutement
JEL Classification : M51, J60, J71, O33
Type de papier : Recherche empiriqu
The contribution of big data technology in the recruitment process in Morocco
No full textThe advent of the fourth generation of industrialization has empowered companies to embrace new technologies that streamline data analysis. Among these tools, big data technology has played a pivotal role in assisting organizations in effectively managing vast amounts of data. This study aims to investigate the impact of big data technology on company performance. A sample of 150 Moroccan companies was divided into three groups: a control group that does not utilize any big data-based technology in their recruitment process, a group that partially relies on this technology, and a group that extensively relies on it. The findings reveal significant distinctions among the groups, showcasing qualitative advantages such as minimizing error risks and quantitative benefits such as reducing recruitment costs and time investment in the group relying on big data technology. Nevertheless, it is important to acknowledge certain limitations of our study. Firstly, the absence of quantifiable data from participating companies restricts our ability to fully validate the accuracy of their self-reported claims in the questionnaire. Secondly, the ongoing ambiguity surrounding the role of human recruiters within these structures warrants further investigation and clarification.
Keywords: Big Data Technology, Recruitment, HR Digitalization, OCR Matrix, Recruitment Performance
JEL Classification : M51, J60, J71, O33
Paper type: Empirical researchL'avènement de la quatrième génération d'industrialisation ou bien industrie 4.0 a permis aux entreprises d'adopter de nouvelles technologies qui optimisent l'analyse des données. Parmi ces outils, la technologie de la Big data qui joue un rôle crucial pour aider les entreprises à gérer efficacement de vastes quantités de données en ressources humaines. Cette étude a pour objectif d'étudier l'impact de la technologie des Big Data sur la performance de l'entreprise en matière de recrutement. Un échantillon de 150 sociétés marocaines a été divisé en trois groupes : un groupe de contrôle qui n'utilise aucune technologie basée sur la big data dans son processus de recrutement, un groupe qui s'appuie partiellement sur cette technologie et un groupe dont l'utilisation est étendue. Les résultats révèlent des différences importantes entre les groupes, montrant des avantages qualitatifs tels que la minimisation des risques d'erreur et des bénéfices quantitatifs comme la réduction des coûts de recrutement et de temps dans le groupe qui s'appuie sur la technologie des Big Data. Néanmoins, il est important de reconnaître certaines limites de notre étude. Premièrement, l'absence de données quantifiables provenant des entreprises participantes limite notre capacité à valider pleinement l'exactitude de leurs revendications auto-déposées dans le questionnaire. Deuxièmement, l'ambiguïté persistante qui entoure le rôle des recruteurs humains au sein de ces structures mérite d'être poursuivie et clarifiée.
Mots clés : la technologie de la Big Data, le Recrutement, la digitalisation des ressources humaines, Matrice OCR, la performance du recrutement
JEL Classification : M51, J60, J71, O33
Type de papier : Recherche empiriqu
Change Management In The Age Of Ai: Case Of Ai Application In Human Resource Management.
Get PDFAbstract:
Algorithm-assisted human resource management is revolutionizing HR practices. AI's levels of intervention take various forms: automation, creation, and task improvement. Although this technology offers several advantages for organizations, our article outlines the main modes of organizational change in AI development. We also present the role of various organizational change factors in successfully achieving this transformation. These factors help understand how companies can adapt and leverage technological advancements to improve performance and competitiveness.
Keywords : Human Resources, Artificial Intelligence, Organizational Change, Management, Technological transformationAbstract:
Algorithm-assisted human resource management is revolutionizing HR practices. AI's levels of intervention take various forms: automation, creation, and task improvement. Although this technology offers several advantages for organizations, our article outlines the main modes of organizational change in AI development. We also present the role of various organizational change factors in successfully achieving this transformation. These factors help understand how companies can adapt and leverage technological advancements to improve performance and competitiveness.
Keywords : Human Resources, Artificial Intelligence, Organizational Change, Management, Technological transformatio
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
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