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Social Indicators Research

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02-06-2020 | Original Research

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

Authors: Paolo Mariani, Andrea Marletta, Mauro Mussini, Mariangela Zenga

Published in: Social Indicators Research | Issue 2-3/2021

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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.

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CCNL in Italian language

In the ESCO classification, system analyst and software developer are included within the category of software and applications analysts and developers, who are classified within the group of information and communication technology professionals, which is a sub-category of professionals.

We use the classification stated by THE ADECCO GROUP.

Agresti, A. (2018). An introduction to categorical data analysis (3rd ed.). New York: Wiley.

Antonelli, G., Antonietti, R., & Guidetti, G. (2010). Organizational change, skill formation, human capital measurement: Evidence from Italian manufacturing firms. Journal of Economic Surveys, 24(2), 206–247.CrossRef

Barone, S., Lombardo, A., & Tarantino, P. (2007). A weighted logistic regression for conjoint analysis and Kansei engineering. Quality and Reliability Engineering International, 23, 689–706.CrossRef

Cohen, S. H., & Liechty, J. C. (2007). Have it your way. Marketing Research, 19(3), 28–34.

Croissant, Y. (2012). Estimation of multinomial logit models in R: The mlogit Packages. R package version 0.2-2. http://cran.rproject.org/web/packages/mlogit/vignettes/mlogit.pdf. Accessed 29 Apr 2020.

Dagsvik, J. K. (1998). Random utility models for discrete choice behavior. Norway: An Introduction. Statistics Norway Research Department.

De Biase, L. (2018). Il lavoro del futuro. Codice edizioni.

Dell’Aringa, C. (1975). Domanda e offerta di lavoro. Rivista Internazionale di Scienze Sociali, 46(Fasc. 1/2), 35–51.

European Commission. (2017a). Scheda tematica per il semestre europeo - Competenze per il mercato del lavoro. https://ec.europa.eu/info/sites/info/files/file_import/european-semester_thematic-factsheet_skills-for-labour-market_it.pdf. Accessed 29 Apr 2020.

European Commission. (2017b). European skills/competencies, qualifications and occupations. https://ec.europa.eu/esco/portal/home.

Franceschetti, M., & Mereu, M. G. (2013). Rappresentare il lavoro che cambia : una lettura per competenze e fabbisogni. Milano: Sociologia del lavoro. Franco Angeli.

Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation? Technological Forecasting & Social Change, 114, 254–280.CrossRef

Gensch, D. H., & Recker, W. W. (1979). The multinomial, multiattribute logit choice model. Journal of Marketing Research, 16(1), 124–132.CrossRef

Giersch, J., & Dong, C. (2018). Principals’ preferences when hiring teachers: A conjoint experiment. Journal of Educational Administration, 56(4), 429–444.CrossRef

Gill, L. (2001). Methods for automatic record matching and linkage and their use in national statistics. National Statistics Methodology Series, No. 25. London: Her Majesty’s Stationery Office.

Giustiniano, L., & Brunetta, F. (2015). Rethinking employability : new managerial competencies in a global labour market. Milano: Sociologia del lavoro. Franco Angeli.

Goles, T., Hawk, S., & Kiaser, K. M. (2008). Information technology workforce skills: The software and IT services provider perspective. Information Systems Frontiers, 10, 179–194.CrossRef

Hui, S. K., Fader, P. S., & Bradlow, E. T. (2009). Path data in marketing: An integrative framework and prospectus for model building. Marketing Science, 28(2), 320–335.CrossRef

International Labour Organization, Skills, knowledge and employability (2018). https://www.ilo.org/global/topics/skills-knowledge-and-employability/lang--en/index.htm).

ISFOL. (2018). La domanda di professioni e di formazione delle imprese italiane nel 2018. www.unioncamere.gov.it.

Krantz, D. H. (1964). Conjoint measurement: The Luce–Tukey axiomatization and some extensions. The Journal of Mathematical Psychology, 2, 248–277.CrossRef

Liechty, J., Ramaswamy, V., & Cohen, S. H. (2001). Choice menus for mass customization: An experimental approach for analyzing customer demand with an application to a web-based information service. Journal of Marketing Research, 38(2), 183–196.CrossRef

Litecky, C. R., Arnett, K. P., & Prabhakar, B. (2004). The paradox of soft skills versus technical skills in hiring. Journal of Computer Information Systems, 45, 67–76.

Louviere, J. J., Flynn, T. N., & Carson, R. T. (2010). Discrete choice experiments are not conjoint analysis. Journal of Choice Modelling, 3, 57–72.CrossRef

Luce, R. D., & Tukey, J. W. (1964). Simultaneous conjoint measurement: A new type of fundamental measurement. The Journal of Mathematical Psychology, 1, 1–27.CrossRef

Luce, R. D., & Krantz, D. H. (1971). Conditional Expected Utility. Econometrica, 2, 253–271.CrossRef

Manacorda, M., & Manning, A. (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, 69(5), 635–666.CrossRef

Mariani, P. (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, (pp. 115–133).

Mariani, P., Marletta, A., & Zenga, M. A. (2019). New relative importance index of evaluation for conjoint analysis: Some findings for CRM assistant. Social Indicators Research, 146(1–2), 135–148.CrossRef

Mariani, P., Mussini, M., & Zavanella, B. (2011). Servizi pubblici per l’impiego e imprese: un’analisi della relazione tra preselezione e job matching. Rivista di Economia e Statistica del Territorio (pp. 106–132).

McFadden, D. (1973). Conditional logit analysis of qualitative choice behavior. In P. Zarembka (Ed.), Frontiers in Econometrics (pp. 105–142). New York: Wiley.

McFadden, D. (1975). The revealed preferences of a government bureaucracy: Theory. The Bell Journal of Economics, 6(2), 401–416.CrossRef

Ministry of Development Economics. (2017). National Industry 4.0 Plan. https://www.mise.gov.it/images/stories/documenti)

Organisation for Economic Co-operation and Development (OECD) Staff. (2017). OECD skills outlook 2017: Skills and global value chains, OECD. www.skillsforemployment.org.

Pouliakas, K., & Theodossiou, I. (2010). Measuring the utility cost of temporary employment contracts before adaptation: A conjoint analysis approach. Economica, 77, 688–709.CrossRef

Rao, V. R. (2014). Applied conjoint analysis. New York: Springer.CrossRef

Street, D. J., & Burgess, L. (2007). The construction of optimal stated choice experiments: Theory and methods. New York: Wiley.CrossRef

THE ADECCO GROUP. (2016) . Dizionario delle competenze.

Tsakonas, E., Jalden, J., Sidiropoulos, N. D., & Ottersten, B. (2013). Sparse conjoint analysis through maximum likelihood estimation. IEEE Transactions on Signal Processing, 61(22), 5704–5715.CrossRef

Unioncamere - Ministero del Lavoro, Sistema Informativo Excelsior, Sistema Informativo Excelsior - Sintesi dei principali risultati 2016, I fabbisogni occupazionali e formativi delle imprese italiane nell’industria e nei servizi (2016). https://excelsior.unioncamere.net/

Villosio, C. (2010). What makes a good candidate? In The preferences of HR managers about new graduated job-seekers, Giornale degli Economisti e Annali di Economia, Nuova Serie, Vol. 69, No. 3, pp. 97–117.

World Economic Forum. (2018). The future of jobs report 2018, World Economic Forum, Geneva, Switzerland. https://www.weforum.org/reports/the-future-of-jobs-report-2018

Title: Professional Profiles and Job Requirements in Labour Demand: An Analysis of the Italian Information Technology Sector
Authors: Paolo Mariani
Andrea Marletta
Mauro Mussini
Mariangela Zenga
Publication date: 02-06-2020
Publisher: Springer Netherlands
Published in: Social Indicators Research / Issue 2-3/2021
Print ISSN: 0303-8300
Electronic ISSN: 1573-0921
DOI: https://doi.org/10.1007/s11205-020-02394-9

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