Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower

Sachini, Evi; Karampekios, Nikolaos; Brutti, Pierpaolo; Sioumalas-Christodoulou, Konstantinos

doi:10.1007/s11192-020-03618-y

Cited by 13 publications

(6 citation statements)

References 14 publications

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“…Herein, the methodological framework as discussed in Sachini et al ( 2020a ) in the “Graph analysis” section is followed.…”

Section: Discussionmentioning

confidence: 99%

“…In a similar manner as described in Sachini et al ( 2020a ), the unified methods of mapping and clustering allow us to visualise in a largely comprehensive way the international scientific collaboration of researchers. Specifically, in addition to the identification of countries with strong scientific collaborations (as a result of the application of the mapping technique), one can additionally distinguish various collaboration patterns (as a result of the application of the clustering technique).…”

Section: Discussionmentioning

confidence: 99%

“…This is attested, for example, a systemic over-performance in competitive European collaborative projects (Horizon, 2020 ) and an increasingly good bibliometric performance (Sachini et al, 2020b ). In addition, Greek highly educated individuals (Sachini et al, 2020a ) occupy a disproportionately high number of academic and research positions in US’ IVY league universities (Yuret, 2017 ). Indeed, its human capital to be this mobile, it stands to reason for this paper to examine the collaborative pattern that has been initiated by Greek researchers during and as a direct result to the COVID-19 pandemic.…”

Section: Methodsmentioning

confidence: 99%

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COVID-19 enabled co-authoring networks: a country-case analysis

Sachini

Sioumalas-Christodoulou

Chrysomallidis

et al. 2021

Scientometrics

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In this paper we seek to examine the co-authoring pattern of a select group of researchers that are affiliated with a specific country. By way of making use of standard bibliometric analysis, we explore the publication evolution of all COVID-19-related peer reviewed papers that have been (co)-authored by researchers that are affiliated with Greek institutions. The aim is to identify its advancement over time, the institutions involved and the countries with which the co-authors are affiliated with. The timeframe of the study spans from the moment that WHO Director-General declared the novel coronavirus outbreak a public health emergency of international concern (WHO, 2020. Archived: WHO timeline-covid-19. Retrieved from Archived: Who Timeline-COVID-19. https://www.who.int/news/item/27-04-2020-who-timeline---covid-19 . Accessed on 10 May 2020., Archived: WHO timeline-covid-19), January 2020, to October 2020. Findings indicate that there is a steady increase in the number of publications as well as the number of scientific collaborations over time. At a cross-country level, results suggest that the affiliated institutional sectors such as the Higher Education Sector (HES) and the Government Sector (GOV) contributed the most in terms of scientific output. On an international scale, the evolution of the scientific collaboration is imprinted and distributed as a chain of affiliations that linked nations together. Such chains are represented as clusters of countries, in which the scientific connections between different countries can be visualised. It can be reasoned that a significant amount of publications (20%) is affiliated with countries having “traditionally” major scientific impact on the field of Medicine. Supplementary Information The online version contains supplementary material available at 10.1007/s11192-021-03952-9.

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“…Herein, the methodological framework as discussed in Sachini et al ( 2020a ) in the “Graph analysis” section is followed.…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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COVID-19 enabled co-authoring networks: a country-case analysis

Sachini

Sioumalas-Christodoulou

Chrysomallidis

et al. 2021

Scientometrics

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“…Bibliometric is the quantitative analysis of scientific publications, citations, and journals (Pritchard, 1969), provides a retrospective investigation of the research field's structure, development, and current academic activity patterns (Rousseau, 2001). Bibliometric research has aided strategic decisionmaking (Sachini et al, 2020) and helped discover the relationships between scientific progress and policy changes (Prado et al, 2016;Borgman and Furner, 2002), and are valuable for systematically examining big datasets, inferring trends across time, identifying research topics, and detecting alterations in disciplinary boundaries. Given that big data is a relatively new concept in HRM literature, a comprehensive review of how big data has hitherto been used in HRM practices and how they have contributed to organizational performance will shed light on how it could be used effectively to (Zang and Ye, 2015;Marler and Boudreau, 2017).…”

Section: Inadequatementioning

confidence: 99%

Role of Big Data in Human Resource Management: A Review and Bibliometric Analysis

Mathushan

Gamage

Thero

2022

Kelaniya J. Hum. Res. Mgt.

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During the last decades, big data has been recognized as a salient enabler of human resource management performance. Although increasing academic attention on big data in human resource management has been generated, there is still a void in this research domain. Due to the increasing academic interest in big data in HRM, a thorough bibliometric analysis of the structure and development of this research topic is required. Correspondingly, classic narrative literature evaluations provide substantial contributions, notwithstanding inadequate to give an exhaustive overview of a particular research area. Consequently, scientific mapping, which garners bibliometric techniques to structure and develop a specific area graphically, is gaining salience. Thereby, the overriding aim of this research is to examine Scopus publications related to big data and human resource management. Bibliometric analysis was performed to explore the growing trends, global distribution, thematic evolution, influential articles, researchers, keywords, and dominating countries in big data and HRM. The cluster analysis results highlight the most important topics for current and future academics in the fields of HRM and AI. Emerged clusters include Cluster1: adoption of HR analytics; Cluster2: decision support systems; Cluster 3: dynamic capabilities; Cluster4: digital innovation; Cluster5: organizational ambidexterity; Cluster6: internet of things; Cluster 7: cloud computing. The result is intended to show academics and practitioners a state-of-the-art and comprehensive view of the diverse and multidimensional phenomena of big data and HRM research.

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“…The proposed multilayer network approach allows for the integration of other networks, which creates opportunities for a more comprehensive assessment of the performance of universities in fulfilling their core missions. It is also worth mentioning other works that have explored academic mobility like Dubois et al (2014), Albarrán et al (2017), andSachini et al (2020), for example.…”

Section: Related Workmentioning

confidence: 99%

Academic mobility of doctoral students in Brazil: An analysis based on Lattes Platform

Mascarenhas¹,

Dias²,

Dias³

2021

Iberoamerican Journal of Science Measurement and Communication

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Objective. In this article, the academic mobility of Brazilian doctoral students moving from their home cities to other Brazilian cities including other countries is examined. Design/Methodology/Approach. The LattesDataXplorer tool was used to extract curriculum data from the Lattes Platform. 308,317 resumes were collected in May 2019, since then the data have been filtered, obtaining relevant data for the research. After extracting the data, they were enriched with the integration of other data sources, thus enabling the characterization of bibliometric networks for the analyses. Results/Discussion. It was possible to measure distances traveled by Brazilian doctors throughout their academic training, as well as to point out the cities, states, and countries whose doctors most meet in the academic journey and the relationships between these locations. Thus, making it possible to obtain a portrait of how the Brazilian scientific exodus occurs. In general, more than 90% of curricula have information on the academic background at each level of education. The average distance of 291 km between birth and place of formation at the graduation level is strongly influenced by outliers. Individuals choose to travel shorter distances throughout the academic training process, being the geographic location a strong influence on the migratory process for training. Conclusions. The United States represents the country where individuals choose to move the most. Regarding international migration, there is more preference for European countries than South American ones. When it comes to intra-regional migration, students prefer those states where the most relevant universities are located. Originality/Value. The article presents the results of original research focusing on the Brazilian scientific community. Distances performed by doctoral students throughout their academic trajectory are measured, as well as the main locations where they tend to move.

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Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower

Cited by 13 publications

References 14 publications

COVID-19 enabled co-authoring networks: a country-case analysis

COVID-19 enabled co-authoring networks: a country-case analysis

Role of Big Data in Human Resource Management: A Review and Bibliometric Analysis

Academic mobility of doctoral students in Brazil: An analysis based on Lattes Platform

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