IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i10p2789-d231488.html
   My bibliography  Save this article

Skill Needs for Early Career Researchers—A Text Mining Approach

Author

Listed:
  • Monica Mihaela Maer-Matei

    (National Scientific Research Institute for Labour and Social Protection, 6-8 Povernei Street, 010643 Bucharest, Romania
    Department of Economic Informatics and Cybernetics, The Bucharest University of Economic Studies, 6 Piata Romana, 010552 Bucharest, Romania)

  • Cristina Mocanu

    (National Scientific Research Institute for Labour and Social Protection, 6-8 Povernei Street, 010643 Bucharest, Romania)

  • Ana-Maria Zamfir

    (National Scientific Research Institute for Labour and Social Protection, 6-8 Povernei Street, 010643 Bucharest, Romania)

  • Tiberiu Marian Georgescu

    (Department of Economic Informatics and Cybernetics, The Bucharest University of Economic Studies, 6 Piata Romana, 010552 Bucharest, Romania)

Abstract

Research and development activities are one of the main drivers for progress, economic growth and wellbeing in many societies. This article proposes a text mining approach applied to a large amount of data extracted from job vacancies advertisements, aiming to shed light on the main skills and demands that characterize first stage research positions in Europe. Results show that data handling and processing skills are essential for early career researchers, irrespective of their research field. Also, as many analyzed first stage research positions are connected to universities, they include teaching activities to a great extent. Management of time, risks, projects, and resources plays an important part in the job requirements included in the analyzed advertisements. Such information is relevant not only for early career researchers who perform job selection taking into account the match of possessed skills with the required ones, but also for educational institutions that are responsible for skills development of the future R&D professionals.

Suggested Citation

  • Monica Mihaela Maer-Matei & Cristina Mocanu & Ana-Maria Zamfir & Tiberiu Marian Georgescu, 2019. "Skill Needs for Early Career Researchers—A Text Mining Approach," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2789-:d:231488
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/10/2789/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/10/2789/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cătălin Emilian Boja & Claudiu Herţeliu & Marian Dârdală & Bogdan Vasile Ileanu, 2018. "Day of the week submission effect for accepted papers in Physica A, PLOS ONE, Nature and Cell," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 887-918, November.
    2. John C. Yi & Christina D. Kang-Yi & Flavia Burton & H. David Chen, 2018. "Predictive Analytics Approach to Improve and Sustain College Students’ Non-Cognitive Skills and Their Educational Outcome," Sustainability, MDPI, vol. 10(11), pages 1-14, November.
    3. Claudio Michelacci, 2003. "Low Returns in R&D Due to the Lack of Entrepreneurial Skills," Economic Journal, Royal Economic Society, vol. 113(484), pages 207-225, January.
    4. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
    5. Simone Sasso & Jo Ritzen, 2019. "Sectoral cognitive skills, R&D, and productivity: a cross-country cross-sector analysis," Education Economics, Taylor & Francis Journals, vol. 27(1), pages 35-51, January.
    6. Feinerer, Ingo & Hornik, Kurt & Meyer, David, 2008. "Text Mining Infrastructure in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 25(i05).
    7. Quan-Hoang Vuong, 2018. "The (ir)rational consideration of the cost of science in transition economies," Nature Human Behaviour, Nature, vol. 2(1), pages 5-5, January.
    8. Laudeline Auriol, 2010. "Careers of Doctorate Holders: Employment and Mobility Patterns," OECD Science, Technology and Industry Working Papers 2010/4, OECD Publishing.
    9. Cable, Daniel M. & Judge, Timothy A., 1996. "Person-Organization Fit, Job Choice Decisions, and Organizational Entry," Organizational Behavior and Human Decision Processes, Elsevier, vol. 67(3), pages 294-311, September.
    10. Mariani, Myriam, 2004. "What determines technological hits?: Geography versus firm competencies," Research Policy, Elsevier, vol. 33(10), pages 1565-1582, December.
    11. Lu Zhang & Xiaochao Guo & Zhimei Lei & Ming K. Lim, 2019. "Social Network Analysis of Sustainable Human Resource Management from the Employee Training’s Perspective," Sustainability, MDPI, vol. 11(2), pages 1-20, January.
    12. Mariacristina Piva & Marco Vivarelli, 2009. "The role of skills as a major driver of corporate R&D," International Journal of Manpower, Emerald Group Publishing Limited, vol. 30(8), pages 835-852, November.
    13. Adriana AnaMaria Davidescu & Andreea Maria Vass Paul & Rodica-Manuela Gogonea & Marian Zaharia, 2015. "Evaluating Romanian Eco-Innovation Performances in European Context," Sustainability, MDPI, vol. 7(9), pages 1-35, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Loredana Manasia & Diana Popa & Gratiela Ianos, 2022. "Anatomy of Research Performance from a Bottom-Up Approach: Examination of Researchers’ Perspective," Sustainability, MDPI, vol. 14(4), pages 1-31, February.
    2. Ionuț NICA, 2020. "An approach to the index of economic freedom using the data mining technique in the economic environment context," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(2(623), S), pages 131-146, Summer.
    3. Monica Mihaela Maer Matei & Anamaria Beatrice Aldea, 2019. "Employers’ Requirements for Data Scientists - an Analysis of Job Posts," Logos Universalitate Mentalitate Educatie Noutate - Sectiunea Stiinte Economice si Administrative/ Logos Universality Mentality Education Novelty - Section: Economical and Administrative Sciences, Editura Lumen, Department of Economics, vol. 4(1), pages 21-32, December.
    4. Spada, Irene & Chiarello, Filippo & Barandoni, Simone & Ruggi, Gianluca & Martini, Antonella & Fantoni, Gualtiero, 2022. "Are universities ready to deliver digital skills and competences? A text mining-based case study of marketing courses in Italy," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Stefano Sbalchiero & Maciej Eder, 2020. "Topic modeling, long texts and the best number of topics. Some Problems and solutions," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(4), pages 1095-1108, August.
    2. Daoud, Adel & Kohl, Sebastian, 2016. "How much do sociologists write about economic topics? Using big data to test some conventional views in economic sociology, 1890 to 2014," MPIfG Discussion Paper 16/7, Max Planck Institute for the Study of Societies.
    3. Cho, Yung-Jan & Fu, Pei-Wen & Wu, Chi-Cheng, 2017. "Popular Research Topics in Marketing Journals, 1995–2014," Journal of Interactive Marketing, Elsevier, vol. 40(C), pages 52-72.
    4. João Guerreiro & Paulo Rita & Duarte Trigueiros, 2016. "A Text Mining-Based Review of Cause-Related Marketing Literature," Journal of Business Ethics, Springer, vol. 139(1), pages 111-128, November.
    5. Abhinav Khare & Qing He & Rajan Batta, 2020. "Predicting gasoline shortage during disasters using social media," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(3), pages 693-726, September.
    6. Lehotský, Lukáš & Černoch, Filip & Osička, Jan & Ocelík, Petr, 2019. "When climate change is missing: Media discourse on coal mining in the Czech Republic," Energy Policy, Elsevier, vol. 129(C), pages 774-786.
    7. Doblinger, Claudia & Surana, Kavita & Li, Deyu & Hultman, Nathan & Anadón, Laura Díaz, 2022. "How do global manufacturing shifts affect long-term clean energy innovation? A study of wind energy suppliers," Research Policy, Elsevier, vol. 51(7).
    8. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2023. "How communication makes the difference between a cartel and tacit collusion: A machine learning approach," European Economic Review, Elsevier, vol. 152(C).
    9. Hudson Golino & Alexander P. Christensen & Robert Moulder & Seohyun Kim & Steven M. Boker, 2022. "Modeling Latent Topics in Social Media using Dynamic Exploratory Graph Analysis: The Case of the Right-wing and Left-wing Trolls in the 2016 US Elections," Psychometrika, Springer;The Psychometric Society, vol. 87(1), pages 156-187, March.
    10. Sun, Katherine Qianwen & Slepian, Michael L., 2020. "The conversations we seek to avoid," Organizational Behavior and Human Decision Processes, Elsevier, vol. 160(C), pages 87-105.
    11. Rieger, Jonas & von Nordheim, Gerret, 2021. "corona100d: German-language Twitter dataset of the first 100 days after Chancellor Merkel addressed the coronavirus outbreak on TV," DoCMA Working Papers 4, TU Dortmund University, Dortmund Center for Data-based Media Analysis (DoCMA).
    12. Garner, Benjamin & Thornton, Corliss & Luo Pawluk, Anita & Mora Cortez, Roberto & Johnston, Wesley & Ayala, Cesar, 2022. "Utilizing text-mining to explore consumer happiness within tourism destinations," Journal of Business Research, Elsevier, vol. 139(C), pages 1366-1377.
    13. Anke Piepenbrink & Elkin Nurmammadov, 2015. "Topics in the literature of transition economies and emerging markets," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(3), pages 2107-2130, March.
    14. Christian WEISMAYER, 2022. "Applied Research in Quality of Life: A Computational Literature Review," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(3), pages 1433-1458, June.
    15. Arenas Gaitán, Jorge & Ramírez-Correa, Patricio E., 2023. "COVID-19 and telemedicine: A netnography approach," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    16. Polyzos, Efstathios & Wang, Fang, 2022. "Twitter and market efficiency in energy markets: Evidence using LDA clustered topic extraction," Energy Economics, Elsevier, vol. 114(C).
    17. Jiang, Hanchen & Qiang, Maoshan & Lin, Peng, 2016. "A topic modeling based bibliometric exploration of hydropower research," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 226-237.
    18. Cecilia Elizabeth Bayas Aldaz & Jesus Rodriguez-Pomeda & Leyla Angélica Sandoval Hamón & Fernando Casani, 2020. "Understanding the University-Sustainability Link through Media: A Spanish Perspective," Sustainability, MDPI, vol. 12(12), pages 1-15, June.
    19. Jonas Rieger, 2019. "Mónica Bécue-Bertaut (2019): Textual Data Science with R," Statistical Papers, Springer, vol. 60(5), pages 1797-1798, October.
    20. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2021. "How do sanctions work? The choice between cartel formation and tacit collusion," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242372, Verein für Socialpolitik / German Economic Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:11:y:2019:i:10:p:2789-:d:231488. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.