IDEAS home Printed from https://ideas.repec.org/a/cup/inorps/v9y2016i01p114-121_00.html
   My bibliography  Save this article

Who Are These Workers, Anyway?

Author

Listed:
  • Griggs, Tracy L.
  • Eby, Lillian T.
  • Maupin, Cynthia K.
  • Conley, Kate M.
  • Williamson, Rachel L.
  • Griek, Olivia H. Vande
  • Clauson, Muriel G.

Abstract

The focal article by Bergman and Jean (2016) raises an important issue by documenting the underrepresentation of nonprofessional and nonmanagerial workers in industrial and organizational (I-O) research. They defined workers as, “people who were not executive, professional or managerial employees; who were low- to medium-skill; and/or who were wage earners rather than salaried†(p. 89). This definition encompasses a wide range of employee samples: from individuals working in blue-collar skilled trades like electricians and plumbers to police officers, soldiers, and call center representatives to low-skill jobs such as fast food, tollbooth operators, and migrant day workers. Because there is considerable variability in the pay, benefits, skill level, autonomy, job security, schedule flexibility, and working conditions that define these workers’ experiences, a more fine-grained examination of who these workers are is necessary to understand the scope of the problem and the specific subpopulations of workers represented (or not) in existing I-O research.

Suggested Citation

  • Griggs, Tracy L. & Eby, Lillian T. & Maupin, Cynthia K. & Conley, Kate M. & Williamson, Rachel L. & Griek, Olivia H. Vande & Clauson, Muriel G., 2016. "Who Are These Workers, Anyway?," Industrial and Organizational Psychology, Cambridge University Press, vol. 9(1), pages 114-121, March.
    • Handle: RePEc:cup:inorps:v:9:y:2016:i:01:p:114-121_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1754942615001236/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Scheidt, Scott & Chung, Q.B., 2019. "Making a case for speech analytics to improve customer service quality: Vision, implementation, and evaluation," International Journal of Information Management, Elsevier, vol. 45(C), pages 223-232.

    More about this item

    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:cup:inorps:v:9:y:2016:i:01:p:114-121_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/iop .

    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.