IDEAS home Printed from https://ideas.repec.org/a/hur/ijaraf/v4y2014i1p16-20.html
   My bibliography  Save this article

Identifying Attractive Behaviors of Managers Based on Kano Model in Isfahan Province Gas Company

Author

Listed:
  • Ali Shaemi Barzoki
  • Reza Salehzadeh

    ()

  • Sayyed Ahmad Khodaei

Abstract

Human resources are the most valuable asset of organization and various factors affect on their motivation and performance. One of the factors that has a significant impact on motivation and performance of employees is managers’ behaviors. In this research, a model has been proposed for analyzing and classification of employees’ needs (managers’ behaviors) and this model has been examined in the Isfahan Province Gas Company. Statistical population of this research includes employees of Isfahan Province Gas Company. In this research after identifying the behaviors that affect on employees’ satisfaction and dissatisfaction, a questionnaire was designed; then after data collection, the kinds of behaviors were determined. The results indicated that by using Kano model we can identify five kind of behaviors i.e. Must-be, One-dimensional, Attractive, Indifferent and Reverse behavior. The findings showed that 18 behaviors were classified in attractive category that these behaviors can affect on employees’ motivation.

Suggested Citation

  • Ali Shaemi Barzoki & Reza Salehzadeh & Sayyed Ahmad Khodaei, 2014. "Identifying Attractive Behaviors of Managers Based on Kano Model in Isfahan Province Gas Company," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 4(1), pages 16-20, January.
  • Handle: RePEc:hur:ijaraf:v:4:y:2014:i:1:p:16-20
    as

    Download full text from publisher

    File URL: http://hrmars.com/hrmars_papers/Article_02_Identifying_Attractive_Behaviors_of_Managers2.pdf
    Download Restriction: no

    File URL: http://hrmars.com/hrmars_papers/Article_02_Identifying_Attractive_Behaviors_of_Managers2.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Chen, Li-Fei, 2012. "A novel approach to regression analysis for the classification of quality attributes in the Kano model: an empirical test in the food and beverage industry," Omega, Elsevier, vol. 40(5), pages 651-659.
    2. Chen, Chun-Chih & Chuang, Ming-Chuen, 2008. "Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design," International Journal of Production Economics, Elsevier, vol. 114(2), pages 667-681, August.
    Full references (including those not matched with items on IDEAS)

    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:hur:ijaraf:v:4:y:2014:i:1:p:16-20. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Hassan Danial Aslam) or (Mikhail Salazkin). General contact details of provider: http://hrmars.com/index.php/pages/detail/Accounting-Finance-Journal .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.