IDEAS home Printed from https://ideas.repec.org/a/iab/iabjlr/v47i4p273-297.html
   My bibliography  Save this article

Collecting information on job tasks - an instrument to measure tasks required at the workplace in a multi-topic survey

Author

Listed:
  • Matthes, Britta

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Christoph, Bernhard

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Janik, Florian

    (Institute for Employment Research (IAB), Nuremberg, Germany)

  • Ruland, Michael

    (125940)

Abstract

"The analysis of job tasks has become a field of growing scientific activity in recent years. Information on such tasks has been used to analyze various research questions, especially regarding changes in the overall structure of the economy and their implications for persons and firms. Arguably the most prominent of these research questions is the analysis of the consequences of technological change for job tasks, skill demand, and wage inequality. Despite the growing importance of this field of research, the range of actual task measures to be used in empirical analyses is rather limited. Therefore, we considered it worthwhile to develop a survey instrument to measure job tasks by asking the job holders directly. The resulting questionnaire module was administered in the fourth panel wave of the German National Educational Panel Study's (NEPS) adult stage. In this paper, we provide an overview of our conceptual background as well as the steps taken during the development of the survey instrument. Furthermore, we present an initial exploratory analysis of the data collected to validate the instrument." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Matthes, Britta & Christoph, Bernhard & Janik, Florian & Ruland, Michael, 2014. "Collecting information on job tasks - an instrument to measure tasks required at the workplace in a multi-topic survey," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 47(4), pages 273-297.
  • Handle: RePEc:iab:iabjlr:v:47:i:4:p:273-297
    DOI: 10.1007/s12651-014-0155-4
    as

    Download full text from publisher

    File URL: https://doi.org/10.1007/s12651-014-0155-4
    Download Restriction: no

    File URL: https://libkey.io/10.1007/s12651-014-0155-4?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
    ---><---

    Citations

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


    Cited by:

    1. Maximilian Trommer & Hildegard Schaeper & Gregor Fabian, 2021. "KWReq—a new instrument for measuring knowledge work requirements of higher education graduates," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-24, December.
    2. repec:iab:iabfme:201412(en is not listed on IDEAS
    3. repec:iab:iabfme:201412(de is not listed on IDEAS
    4. Larissa Bolliger & Junoš Lukan & Mitja Luštrek & Dirk De Bacquer & Els Clays, 2020. "Protocol of the STRess at Work (STRAW) Project: How to Disentangle Day-to-Day Occupational Stress among Academics Based on EMA, Physiological Data, and Smartphone Sensor and Usage Data," IJERPH, MDPI, vol. 17(23), pages 1-14, November.
    5. Francis Green & Golo Henseke, 2016. "The changing graduate labour market: analysis using a new indicator of graduate jobs," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 5(1), pages 1-25, December.
    6. Nancy Kracke & Margarida Rodrigues, 2020. "A Task-Based Indicator for Labour Market Mismatch," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 149(2), pages 399-421, June.
    7. Zeyer-Gliozzo, Birgit, 2020. "Returns to formal, non-formal and informal training for workers at risk of automation," Ruhr Economic Papers 857, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    8. Sebastian Lago Raquel & Federico Biagi, 2018. "The Routine Biased Technical Change hypothesis: a critical review," JRC Research Reports JRC113174, Joint Research Centre.
    9. Tobias Maier, 2022. "Change in occupational tasks and its implications: evidence from a task panel from 1973 to 2011 for Western Germany," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 889-921, June.
    10. Arief A. Yusuf & Reza Anglingkusumo & Andy Sumner & Putri R. Halim & Anggita C.M. Kusuma, 2020. "Routinization And The Changing Task Composition In The Labor Market: Evidence From Indonesia," Working Papers WP/06/2020, Bank Indonesia.
    11. Heß, Pascal & Janssen, Simon & Leber, Ute, 2019. "Digitalisierung und berufliche Weiterbildung: Beschäftigte, deren Tätigkeiten durch Technologien ersetzbar sind, bilden sich seltener weiter (Digitization and on-the-job training: employees who perfor," IAB-Kurzbericht 201916, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    12. Martina Bisello & Eleonora Peruffo & Enrique Fernandez-Macias & Riccardo Rinaldi, 2019. "How computerisation is transforming jobs: Evidence from the European Working Conditions Survey," JRC Working Papers on Labour, Education and Technology 2019-02, Joint Research Centre.
    13. Dengler, Katharina & Matthes, Britta & Paulus, Wiebke, 2014. "Occupational Tasks in the German Labour Market : an alternative measurement on the basis of an expert database," FDZ Methodenreport 201412_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    14. Jasmine Mondolo, 2022. "The composite link between technological change and employment: A survey of the literature," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1027-1068, September.
    15. Arntz, Melanie & Dengler, Katharina & Dorau, Ralf & Gregory, Terry & Hartwig, Matthias & Helmrich, Robert & Lehmer, Florian & Matthes, Britta & Tisch, Anita & Wischniewski, Sascha & Zierahn, Ulrich, 2020. "Digitalisierung und Wandel der Beschäftigung (DIWABE): Eine Datengrundlage für die interdisziplinäre Sozialpolitikforschung," ZEW Dokumentationen 20-02, ZEW - Leibniz Centre for European Economic Research.
    16. Eduard Storm, 2023. "On the measurement of tasks: does expert data get it right?," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 57(1), pages 1-24, December.
    17. Dengler, Katharina & Matthes, Britta & Paulus, Wiebke, 2014. "Berufliche Tasks auf dem deutschen Arbeitsmarkt : eine alternative Messung auf Basis einer Expertendatenbank (Occupational Tasks in the German Labour Market : an alternative measurement on the basis o," FDZ Methodenreport 201412_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Beckert, Bernd & Buschak, Daniela & Graf, Birgit & Hägele, Martin & Jäger, Angela & Moll, Cornelius & Schmoch, Ulrich & Wydra, Sven, 2016. "Automatisierung und Robotik-Systeme," Studien zum deutschen Innovationssystem 11-2016, Expertenkommission Forschung und Innovation (EFI) - Commission of Experts for Research and Innovation, Berlin.

    More about this item

    Keywords

    Bundesrepublik Deutschland ; Berufsanforderungen ; Datengewinnung ; Fragebogen ; Interaktion ; manuelle Arbeit ; Qualifikationsanforderungen ; Nationales Bildungspanel ; Qualifikationsmerkmale ; Routine ; Arbeitsanforderungen ; Stellenbeschreibung ; Tätigkeitsanalyse ; Tätigkeitsmerkmale ; Validität;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    Statistics

    Access and download statistics

    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:iab:iabjlr:v:47:i:4:p:273-297. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: IAB, Geschäftsbereich Wissenschaftliche Fachinformation und Bibliothek (email available below). General contact details of provider: https://edirc.repec.org/data/iabbbde.html .

    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.