IDEAS home Printed from https://ideas.repec.org/a/igg/jkss00/v5y2014i3p1-17.html
   My bibliography  Save this article

A New Service Mediator For Human Resource Management

Author

Listed:
  • Minh Chau Doan

    (Japan Advanced Institute of Science and Technology, Nomi, Japan)

  • Nguyen Dinh Le

    (Japan Advanced Institute of Science and Technology, Nomi, Japan)

  • Michitaka Kosaka

    (Japan Advanced Institute of Science and Technology, Nomi, Japan)

Abstract

Service science has recently been focused on and this has encouraged both economic activities and research. The main purpose of this study was to investigate the potential of the concept of a mediator model that was Service Dominant Logic (SDL) oriented in Human Resource Management (HRM) to attain service value co-creation between employers and employees. A hypothesis has been anticipated from the literature to propose the concept of an SDL mediator for HRM. Consequently, a case study on a municipal hospital in Ishikawa prefecture (Japan) was undertaken to demonstrate the usefulness of the new model. The authors found that HRM as an SDL mediator was positively related to the support of value co-creation within organizations. HRM also fostered the relationship between management and staff by organizing and managing the service field for collaboration. Perceived communications and feedback won the trust and commitment of employees. Further, the motivation and knowledge of employees was also shared with employers through HRM. Therefore, the mediating role of HRM was considerable in collaboration. This study demonstrated how the concept of the SDL service mediator supported knowledge sharing and understanding, which thus led to mutual value co-creation.

Suggested Citation

  • Minh Chau Doan & Nguyen Dinh Le & Michitaka Kosaka, 2014. "A New Service Mediator For Human Resource Management," International Journal of Knowledge and Systems Science (IJKSS), IGI Global, vol. 5(3), pages 1-17, July.
    • Handle: RePEc:igg:jkss00:v:5:y:2014:i:3:p:1-17
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijkss.2014070101
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Siaw Ling Lo & Raymond Chiong & David Cornforth, 2015. "Using Support Vector Machine Ensembles for Target Audience Classification on Twitter," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-20, April.
    2. Regis Muchowe & Adom Faith Mawunyo & Chomunogwa Pande, 2021. "The Relationship between Flexible Work Arrangements and Organisational Performance in Higher and Tertiary Education Institutions in Mashonaland Central Province during the Covid-19 Period in Zimbabwe," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 5(12), pages 245-249, December.
    3. Rajeshwari Chennangodu & George Kandathil, 2023. "(Dis)empowering the feminine? Spatializing the interlace of gender‐class‐neoliberal managerialism in a women‐only café in India," Gender, Work and Organization, Wiley Blackwell, vol. 30(5), pages 1631-1648, September.

    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:jkss00:v:5:y:2014:i:3:p:1-17. 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.