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Online labour market analytics for the green economy: The case of electric vehicles

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  • Papoutsoglou, Maria
  • Rigas, Emmanouil S.
  • Kapitsaki, Georgia M.
  • Angelis, Lefteris
  • Wachs, Johannes

Abstract

Since job characteristics in areas related to the green economy and Industry 4.0 are changing rapidly, combined methodologies to measure the labour demand and supply are needed. One substantial aspect of this emerging sector is the shift of the automotive industry towards the production of electric vehicles (EVs). The automotive sector is a major employer in Europe, directly employing over 2.8 million people. However, little is known about the effects this structural transformation of the automotive industry will have on labor markets, in particular in the area of information and communications technology (ICT). This prevents effective planning by educational institutions, who seek to prepare their students for future labor markets, and industry stakeholders aiming to assemble effective teams. In this paper, we develop a framework to analyze labor market trends using digital trace data, and apply it to the case of the EV industry. We track demand-side trends in the labor market using job advertisements from LinkedIn and supply-side trends using data from StackExchange and GitHub. Using natural language processing methods, we categorize the skills sought by EV industry employers on the demand side and topics of interest to individuals on the supply side. We also highlight those programming languages and frameworks most salient in the EV industry.

Suggested Citation

  • Papoutsoglou, Maria & Rigas, Emmanouil S. & Kapitsaki, Georgia M. & Angelis, Lefteris & Wachs, Johannes, 2022. "Online labour market analytics for the green economy: The case of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    • Handle: RePEc:eee:tefoso:v:177:y:2022:i:c:s004016252200049x
    DOI: 10.1016/j.techfore.2022.121517
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    1. Jimenez-Marquez, Jose Luis & Gonzalez-Carrasco, Israel & Lopez-Cuadrado, Jose Luis & Ruiz-Mezcua, Belen, 2019. "Towards a big data framework for analyzing social media content," International Journal of Information Management, Elsevier, vol. 44(C), pages 1-12.
    2. Pejic-Bach, Mirjana & Bertoncel, Tine & Meško, Maja & Krstić, Živko, 2020. "Text mining of industry 4.0 job advertisements," International Journal of Information Management, Elsevier, vol. 50(C), pages 416-431.
    3. Eric von Hippel, 2007. "Horizontal innovation networks—by and for users," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 16(2), pages 293-315, April.
    4. Stefan Debortoli & Oliver Müller & Jan Brocke, 2014. "Comparing Business Intelligence and Big Data Skills," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(5), pages 289-300, October.
    5. Joung, Junegak & Kim, Kwangsoo, 2017. "Monitoring emerging technologies for technology planning using technical keyword based analysis from patent data," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 281-292.
    6. Colombo, Emilio & Mercorio, Fabio & Mezzanzanica, Mario, 2019. "AI meets labor market: Exploring the link between automation and skills," Information Economics and Policy, Elsevier, vol. 47(C), pages 27-37.
    7. Micari, Salvatore & Polimeni, Antonio & Napoli, Giuseppe & Andaloro, Laura & Antonucci, Vincenzo, 2017. "Electric vehicle charging infrastructure planning in a road network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 98-108.
    8. Liu, Jin-peng & Zhang, Teng-xi & Zhu, Jiang & Ma, Tian-nan, 2018. "Allocation optimization of electric vehicle charging station (EVCS) considering with charging satisfaction and distributed renewables integration," Energy, Elsevier, vol. 164(C), pages 560-574.
    9. Earl, James & Fell, Michael J., 2019. "Electric vehicle manufacturers' perceptions of the market potential for demand-side flexibility using electric vehicles in the United Kingdom," Energy Policy, Elsevier, vol. 129(C), pages 646-652.
    10. Babak Zafari & Tahir Ekin, 2019. "Topic modelling for medical prescription fraud and abuse detection," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 68(3), pages 751-769, April.
    11. Doblinger, Claudia & Surana, Kavita & Anadon, Laura Diaz, 2019. "Governments as partners: The role of alliances in U.S. cleantech startup innovation," Research Policy, Elsevier, vol. 48(6), pages 1458-1475.
    12. Daron Acemoglu, 2002. "Technical Change, Inequality, and the Labor Market," Journal of Economic Literature, American Economic Association, vol. 40(1), pages 7-72, March.
    13. Amado, Alexandra & Cortez, Paulo & Rita, Paulo & Moro, Sérgio, 2018. "Research Trends On Big Data In Marketing: A Text Mining And Topic Modeling Based Literature Analysis," European Research on Management and Business Economics (ERMBE), Academia Europea de Dirección y Economía de la Empresa (AEDEM), vol. 24(1), pages 1-7.
    14. Kavita Surana & Sarah M. Jordaan, 2019. "The climate mitigation opportunity behind global power transmission and distribution," Nature Climate Change, Nature, vol. 9(9), pages 660-665, September.
    15. Wachs, Johannes & Nitecki, Mariusz & Schueller, William & Polleres, Axel, 2022. "The Geography of Open Source Software: Evidence from GitHub," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    16. Tsujimoto, Masaharu & Kajikawa, Yuya & Tomita, Junichi & Matsumoto, Yoichi, 2018. "A review of the ecosystem concept — Towards coherent ecosystem design," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 49-58.
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    1. Yu, Quanqing & Nie, Yuwei & Peng, Simin & Miao, Yifan & Zhai, Chengzhi & Zhang, Runfeng & Han, Jinsong & Zhao, Shuo & Pecht, Michael, 2023. "Evaluation of the safety standards system of power batteries for electric vehicles in China," Applied Energy, Elsevier, vol. 349(C).
    2. S. Di Luozzo & A. Fronzetti Colladon & M. M. Schiraldi, 2024. "Decoding excellence: Mapping the demand for psychological traits of operations and supply chain professionals through text mining," Papers 2403.17546, arXiv.org.
    3. Emmanouil S. Rigas & Tatiana Pourliaka & Maria Papoutsoglou & Hariklia Proios, 2023. "Towards a topic modeling approach to semi-automatically detect self-reported stroke symptoms (FAST symptoms) and their correlation with aphasia types," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(2), pages 1321-1336, April.

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