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. 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.
    3. Vithala R. Rao, 2014. "Applied Conjoint Analysis," Springer Books, Springer, edition 127, number 978-3-540-87753-0, July.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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).
    8. 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.
    9. 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.
    10. María Jesús Rosado-García & Renata Kubus & Ramón Argüelles-Bustillo & María Jesús García-García, 2021. "A New European Bauhaus for a Culture of Transversality and Sustainability," Sustainability, MDPI, vol. 13(21), pages 1-22, October.
    11. Gianluca MISURACA & Colin van Noordt, 2020. "AI Watch - Artificial Intelligence in public services: Overview of the use and impact of AI in public services in the EU," JRC Research Reports JRC120399, Joint Research Centre.
    12. Dario Cords & Klaus Prettner, 2022. "Technological unemployment revisited: automation in a search and matching framework [The future of work: meeting the global challenges of demographic change and automation]," Oxford Economic Papers, Oxford University Press, vol. 74(1), pages 115-135.
    13. John Burgess & Julia Connell, 2020. "New technology and work: Exploring the challenges," The Economic and Labour Relations Review, , vol. 31(3), pages 310-323, September.
    14. Dominique Prunetti & Alexandre Muzy & Eric Innocenti & Xavier Pieri, 2014. "Utility-based Multi-agent System with Spatial Interactions: The Case of Virtual Estate Development," Computational Economics, Springer;Society for Computational Economics, vol. 43(3), pages 271-299, March.
    15. Anton Korinek & Joseph E. Stiglitz, 2018. "Artificial Intelligence and Its Implications for Income Distribution and Unemployment," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 349-390, National Bureau of Economic Research, Inc.
    16. Markus Menz & Sven Kunisch & Julian Birkinshaw & David J. Collis & Nicolai J. Foss & Robert E. Hoskisson & John E. Prescott, 2021. "Corporate Strategy and the Theory of the Firm in the Digital Age," Journal of Management Studies, Wiley Blackwell, vol. 58(7), pages 1695-1720, November.
    17. David J. Deming, 2017. "The Growing Importance of Social Skills in the Labor Market," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(4), pages 1593-1640.
    18. Alex Chernoff & Casey Warman, 2023. "COVID-19 and implications for automation," Applied Economics, Taylor & Francis Journals, vol. 55(17), pages 1939-1957, April.
    19. Emil Sundstrup & Annette Meng & Jeppe Z. N. Ajslev & Karen Albertsen & Flemming Pedersen & Lars L. Andersen, 2022. "New Technology and Loss of Paid Employment among Older Workers: Prospective Cohort Study," IJERPH, MDPI, vol. 19(12), pages 1-13, June.
    20. Jana M. Kleibert & Laura Mann, 2020. "Capturing Value amidst Constant Global Restructuring? Information-Technology-Enabled Services in India, the Philippines and Kenya," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 32(4), pages 1057-1079, September.

    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.