IDEAS home Printed from https://ideas.repec.org/a/spr/soinre/v156y2021i2d10.1007_s11205-020-02394-9.html
   My bibliography  Save this article

Professional Profiles and Job Requirements in Labour Demand: An Analysis of the Italian Information Technology Sector

Author

Listed:
  • Paolo Mariani

    (University of Milano-Bicocca)

  • Andrea Marletta

    (University of Milano-Bicocca)

  • Mauro Mussini

    (University of Milano-Bicocca)

  • Mariangela Zenga

    (University of Milano-Bicocca)

Abstract

In this paper, the roles of job requirements in Italian labour demand for the information technology sector are examined. For this purpose, a new data set collecting information on new hires in the sector is created by combining data from administrative and statistical sources. A conjoint analysis is used to estimate the partial utilities of job requirements in the labour matching. Moreover, using this approach a measure of importance for each job requirement is obtained. After estimating total utilities for alternative professional profiles, we check whether total utility and some features of the job vacancy affect the type of employment contract and occupation.

Suggested Citation

  • Paolo Mariani & Andrea Marletta & Mauro Mussini & Mariangela Zenga, 2021. "Professional Profiles and Job Requirements in Labour Demand: An Analysis of the Italian Information Technology Sector," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 156(2), pages 651-667, August.
  • Handle: RePEc:spr:soinre:v:156:y:2021:i:2:d:10.1007_s11205-020-02394-9
    DOI: 10.1007/s11205-020-02394-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11205-020-02394-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11205-020-02394-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Claudia Villosio, 2010. "What makes a good candidate? The preferences of HR Managers about new graduated job-seekers," Giornale degli Economisti, GDE (Giornale degli Economisti e Annali di Economia), Bocconi University, vol. 69(3), pages 97-118, December.
    2. Gilberto Antonelli & Roberto Antonietti & Giovanni Guidetti, 2010. "Organizational Change, Skill Formation, Human Capital Measurement: Evidence From Italian Manufacturing Firms," Journal of Economic Surveys, Wiley Blackwell, vol. 24(2), pages 206-247, April.
    3. Paolo Mariani & Mauro Mussini & Biancamaria Zavanella, 2011. "Servizi pubblici per l?impiego e imprese: un?analisi della relazione tra preselezione e job matching," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2011(1), pages 106-132.
    4. Marco Manacorda & Alan Manning, 2007. "Shifts in the Demand and Supply of Skills in the OECD: A Single‐Index Model with a Continuous Distribution of Skills," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(5), pages 635-666, October.
    5. Konstantinos Pouliakas & Ioannis Theodossiou, 2010. "Measuring the Utility Cost of Temporary Employment Contracts Before Adaptation: A Conjoint Analysis Approach," Economica, London School of Economics and Political Science, vol. 77(308), pages 688-709, October.
    6. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    7. Vithala R. Rao, 2014. "Applied Conjoint Analysis," Springer Books, Springer, edition 127, number 978-3-540-87753-0, September.
    8. Sam K. Hui & Peter S. Fader & Eric T. Bradlow, 2009. "Path Data in Marketing: An Integrative Framework and Prospectus for Model Building," Marketing Science, INFORMS, vol. 28(2), pages 320-335, 03-04.
    9. Daniel McFadden, 1975. "The Revealed Preferences of a Government Bureaucracy: Theory," Bell Journal of Economics, The RAND Corporation, vol. 6(2), pages 401-416, Autumn.
    10. Paolo Mariani & Andrea Marletta & Mariangela Zenga, 2019. "A New Relative Importance Index of Evaluation for Conjoint Analysis: Some Findings for CRM Assistant," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 146(1), pages 135-148, November.
    11. Paolo Mariani, 2007. "Mercato del lavoro, imprese private e servizi pubblici per l'impiego: una proposta per far "dialogare" domanda e offerta," RIVISTA DI ECONOMIA E STATISTICA DEL TERRITORIO, FrancoAngeli Editore, vol. 2007(2), pages 115-133.
    12. Tim Goles & Stephen Hawk & Kate M. Kaiser, 2008. "Information technology workforce skills: The software and IT services provider perspective," Information Systems Frontiers, Springer, vol. 10(2), pages 179-194, April.
    Full references (including those not matched with items on IDEAS)

    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. Loebbing, Jonas, 2018. "An Elementary Theory of Endogenous Technical Change and Wage Inequality," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181603, Verein für Socialpolitik / German Economic Association.
    2. Bodo Herzog, 2018. "Valuation of Digital Platforms: Experimental Evidence for Google and Facebook," IJFS, MDPI, vol. 6(4), pages 1-13, October.
    3. Basso, Henrique S. & Jimeno, Juan F., 2021. "From secular stagnation to robocalypse? Implications of demographic and technological changes," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 833-847.
    4. Iftekhairul Islam & Fahad Shaon, 2020. "If the Prospect of Some Occupations Are Stagnating With Technological Advancement? A Task Attribute Approach to Detect Employment Vulnerability," Papers 2001.02783, arXiv.org.
    5. Ayhan, Fatih & Elal, Onuray, 2023. "The IMPACTS of technological change on employment: Evidence from OECD countries with panel data analysis," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    6. Caroline Lloyd & Jonathan Payne, 2021. "Fewer jobs, better jobs? An international comparative study of robots and ‘routine’ work in the public sector," Industrial Relations Journal, Wiley Blackwell, vol. 52(2), pages 109-124, March.
    7. Gilberto Santos & Jose Carlos Sá & Maria João Félix & Luís Barreto & Filipe Carvalho & Manuel Doiro & Kristína Zgodavová & Miladin Stefanović, 2021. "New Needed Quality Management Skills for Quality Managers 4.0," Sustainability, MDPI, vol. 13(11), pages 1-22, May.
    8. James Agarwal & Wayne DeSarbo & Naresh K. Malhotra & Vithala Rao, 2015. "An Interdisciplinary Review of Research in Conjoint Analysis: Recent Developments and Directions for Future Research," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 2(1), pages 19-40, March.
    9. Grinis, Inna, 2017. "The STEM requirements of "non-STEM" jobs: evidence from UK online vacancy postings and implications for skills & knowledge shortages," LSE Research Online Documents on Economics 85123, London School of Economics and Political Science, LSE Library.
    10. van den Broek, Tijs & van Veenstra, Anne Fleur, 2018. "Governance of big data collaborations: How to balance regulatory compliance and disruptive innovation," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 330-338.
    11. Daniele Angelini, 2023. "Aging Population and Technology Adoption," Working Paper Series of the Department of Economics, University of Konstanz 2023-01, Department of Economics, University of Konstanz.
    12. Caitlin Allen Whitehead & Haroon Bhorat & Robert Hill & Tim Köhler & François Steenkamp, 2021. "The Potential Employment Implications of the Fourth Industrial Revolution Technologies: The Case of the Manufacturing, Engineering and Related Services Sector," Working Papers 202106, University of Cape Town, Development Policy Research Unit.
    13. Sony, Michael & Aithal, Sreeramana, 2020. "Transforming Indian Engineering Industries through Industry 4.0: An Integrative Conceptual Analysis," MPRA Paper 102872, University Library of Munich, Germany.
    14. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    15. Thanos Fragkandreas, 2022. "Three Decades of Research on Innovation and Inequality: Causal Scenarios, Explanatory Factors, and Suggestions," Working Papers 60, Birkbeck Centre for Innovation Management Research, revised Feb 2022.
    16. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    17. Singh, Anuraag & Triulzi, Giorgio & Magee, Christopher L., 2021. "Technological improvement rate predictions for all technologies: Use of patent data and an extended domain description," Research Policy, Elsevier, vol. 50(9).
    18. Montse Gomendio, 2023. "The Level of Skills in Spain: How to Solve the Puzzle using International Surveys," Studies on the Spanish Economy eee2023-35, FEDEA.
    19. Jonas Eliasson & Mattias Lundberg, 2011. "Do Cost--Benefit Analyses Influence Transport Investment Decisions? Experiences from the Swedish Transport Investment Plan 2010--21," Transport Reviews, Taylor & Francis Journals, vol. 32(1), pages 29-48, April.
    20. Juan F. Jimeno, 2019. "Fewer babies and more robots: economic growth in a new era of demographic and technological changes," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 93-114, June.

    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:spr:soinre:v:156:y:2021:i:2:d:10.1007_s11205-020-02394-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.