IDEAS home Printed from https://ideas.repec.org/a/igg/jaci00/v13y2022i1p1-9.html
   My bibliography  Save this article

Statistical Analysis on the Body Flexibility of the Laborer of the Indian Service Sector

Author

Listed:
  • Manish Oraon

    (BIT Mesra, India)

  • Anulal Mahto

    (BIT Mesra, India)

Abstract

The ergonomics is one of the key factors in any service sector where the workers are involved in physical work. The physical strength of an individual is dependent on the human artefacts which may help the system to recruit the suitable person to right place. The present study comprises the body flexibility (Bf) of the servicemen associated to Indian railway. Four inputs i.e. age, height, weight, and waist of all recruited participants are measured and conduct the sit and reach test (S-R test) for the Bf. The statistical analysis is performed for investigating the significance of the inputs on the Bf. Statistically, the inputs Ag (P=0.002), Wg, (P=0.030), and Wa-g (P=0.001) are individually significant whereas the interactional relation of Hg with Ag (P=0.008) and Hg with Wa-g (P≤0.001) is reported. The Bf of Tall Hg is grown up gradually with Ag but it was 20.47% lesser than the maximum Bf. Simultaneously, with the increase in Wa-g of all Hg, the degradation in the Bf is reported.

Suggested Citation

  • Manish Oraon & Anulal Mahto, 2022. "Statistical Analysis on the Body Flexibility of the Laborer of the Indian Service Sector," International Journal of Ambient Computing and Intelligence (IJACI), IGI Global, vol. 13(1), pages 1-9, January.
    • Handle: RePEc:igg:jaci00:v:13:y:2022:i:1:p:1-9
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJACI.300800
    Download Restriction: no
    ---><---

    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:igg:jaci00:v:13:y:2022:i:1:p:1-9. 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.

    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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.