IDEAS home Printed from https://ideas.repec.org/a/bit/bsrysr/v16y2025i1p60-79n1004.html
   My bibliography  Save this article

The Role of Empathetic Company Philosophy and Advanced Technologies in Shaping Job Attitudes

Author

Listed:
  • Koizumi Masaki

    (Future Value Co-creation Division, NEC Corporation, Japan)

  • Kato Takumi

    (School of Commerce, Meiji University, Japan)

Abstract

Background Although the literature has assessed various factors underlying employee attitudes, knowledge of company philosophy and advanced technology is lacking, especially in the context of the major drivers of job satisfaction and turnover intentions. Objectives This study clarified the differences in the factors contributing to job satisfaction and turnover intentions, focusing on 10 factors—eight from the literature (rewarding work, skill acquisition, fair wages, work–life balance, flexible work, office equipment, relationships with superiors, and corporate social responsibility) and two new factors: company philosophy and advanced technology. Methods Following a literature review and hypotheses development, we applied structural equation modeling to data collected using an online survey of 1,000 workers employed in 10 industries (automobiles, banking, clothing, cosmetics, electronics, food, government, IT, medical and health care, and retail) in Japan. Results An empathic company philosophy increases job satisfaction, and this effect is more prominent among women than among men. This study concretely demonstrated that company philosophy is an important tool for motivating employees within an organization toward a common goal. Additionally, it showed that the introduction of advanced technology increases turnover intentions regardless of gender. Conclusions Analyzing the factors behind employee attitudes, such as the introduction of advanced technology, may improve job satisfaction and decrease turnover intention.

Suggested Citation

  • Koizumi Masaki & Kato Takumi, 2025. "The Role of Empathetic Company Philosophy and Advanced Technologies in Shaping Job Attitudes," Business Systems Research, Sciendo, vol. 16(1), pages 60-79.
  • Handle: RePEc:bit:bsrysr:v:16:y:2025:i:1:p:60-79:n:1004
    DOI: 10.2478/bsrj-2025-0004
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/bsrj-2025-0004
    Download Restriction: no

    File URL: https://libkey.io/10.2478/bsrj-2025-0004?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
    ---><---

    More about this item

    Keywords

    job satisfaction; turnover intention; rewarding work; ChatGPT; structural equation modelling;
    All these keywords.

    JEL classification:

    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation

    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:bit:bsrysr:v:16:y:2025:i:1:p:60-79:n:1004. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.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.