IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v10y2016i5p21.html

Investigation and Prioritizing the Effective Factors on Increasing the Human Resources Productivity in Agriculture Bank Using Multi-Attribute Decision Making Model

Author

Listed:
  • Amir Abachi

Abstract

As organizations are going to develop, the need for efficient manpower becomes more apparent. Obviously, productivity of the manpower requires the attention of managers to the complexity of human behavior and appropriate utilization of the principles, techniques and skills of the management. This study aims to prioritize the effective factors on productivity of human resources in the Agriculture Bank. Productivity is beyond the performance, it also contains the effectiveness concept, and in other words, productivity is not just doing the right things. An activity may be done correctly and in the best way, while it has no role in achieving the goal. In this case, the performance is available but there is no productivity. Difference between the performance and is rooted in the effectiveness or in the direction of doing a work. The current paper is a descriptive survey. Statistical population includes all experts in the Research and Strategic Planning center of the Agricultural Bank (33 persons). The data obtained from the questionnaire were analyzed using descriptive statistics in the form of frequency table. Questions were examined based on the one-group- t-test and using SPSS. Effective factors on increasing the human resources productivity were prioritized using Multi- Attribute Decision Making (MADM). After comparison of the alternatives, the related tables were prepared and prioritizing or ranking were done by determining the weight of each factor indexes and finally determining the weight of the four main factors. TOPSIS was used to evaluate the results of the MADM. Our research aims to prioritize the four factors according to the MADM.

Suggested Citation

  • Amir Abachi, 2016. "Investigation and Prioritizing the Effective Factors on Increasing the Human Resources Productivity in Agriculture Bank Using Multi-Attribute Decision Making Model," Modern Applied Science, Canadian Center of Science and Education, vol. 10(5), pages 1-21, May.
  • Handle: RePEc:ibn:masjnl:v:10:y:2016:i:5:p:21
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/57758/30892
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/mas/article/view/57758
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Göbel, Christian & Zwick, Thomas, 2013. "Are personnel measures effective in increasing productivity of old workers?," Labour Economics, Elsevier, vol. 22(C), pages 80-93.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jorg Drechsler & Johannes Ludsteck, 2025. "Imputation Strategies for Rightcensored Wages in Longitudinal Datasets," Papers 2502.12967, arXiv.org.
    2. Boockmann, Bernhard & Fries, Jan & Göbel, Christian, 2018. "Specific measures for older employees and late career employment," The Journal of the Economics of Ageing, Elsevier, vol. 12(C), pages 159-174.
    3. Börsch-Supan, Axel & Weiss, Matthias, 2016. "Productivity and age: Evidence from work teams at the assembly line," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 30-42.
    4. Thomas Leoni & Johanna Schwinger, 2017. "Fehlzeitenreport 2017. Krankheits- und unfallbedingte Fehlzeiten in Österreich – Die alter(n)sgerechte Arbeitswelt," WIFO Studies, WIFO, number 60730, August.
    5. Frimmel, Wolfgang, 2021. "Later retirement and the labor market re-integration of elderly unemployed workers," The Journal of the Economics of Ageing, Elsevier, vol. 19(C).
    6. Y. Saks, 2014. "Employees: too expensive at 50? The age component in wage-setting," Economic Review, National Bank of Belgium, issue i, pages 61-74, June.
    7. Guo, Yuchen Mo & Falck, Oliver & Langer, Christina & Lindlacher, Valentin & Wiederhold, Simon, 2024. "Training, Automation, and Wages: Worker-Level Evidence," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302366, Verein für Socialpolitik / German Economic Association.
    8. Backhaus, Teresa, 2025. "Training in late careers — A structural approach," Labour Economics, Elsevier, vol. 93(C).
    9. Olfa Frini & Khoutem Ben Jedidia, 2018. "The age structure change of population and labour productivity impact," Economics Bulletin, AccessEcon, vol. 38(4), pages 1831-1844.
    10. Stephan Kampelmann & Benoit Mahy & François Rycx & Guillaume Vermeylen, 2016. "Who is your perfect match? Educational norms, educational mismatch and firm profitability," Working Papers CEB 16-050, ULB -- Universite Libre de Bruxelles.
    11. Alfred Garloff & Rüdiger Wapler, 2013. "Are the Number of Skilled Workers Running Out in Germany? The (Non)-Consequences of Demographic Change," ERSA conference papers ersa13p854, European Regional Science Association.
    12. François Rycx & Yves Saks & Ilan Tojerow, 2015. "Does Education Raise Productivity and Wages Equally ?The Moderating Roles of Age, Gender and Industry," DULBEA Working Papers 15-02, ULB -- Universite Libre de Bruxelles.
    13. Maciej Lis & Iga Magda, 2014. "Dynamika płac w cyklu życia a indywidualny stan zdrowia," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 121-142.
    14. Romina Giuliano & Stephan Kampelmann & Benoît Mahy & François Rycx, 2017. "Short Notice, Big Difference? The Effect of Temporary Employment on Firm Competitiveness across Sectors," British Journal of Industrial Relations, London School of Economics, vol. 55(2), pages 421-449, June.
    15. Thomas Flochel & Yuki Ikeda & Harry Moroz & Nithin Umapathi, 2014. "Macroeconomic Implications of Aging in East Asia Pacific," World Bank Publications - Reports 23026, The World Bank Group.
    16. Buch, Tanja & Kotte, Volker & Niebuhr, Annekatrin & Stöckmann, Andrea, 2014. "Ältere auf dem Arbeitsmarkt in Schleswig-Holstein," IAB-Regional. Berichte und Analysen aus dem Regionalen Forschungsnetz. IAB Nord 201405, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    17. Kerndler, Martin, 2016. "Contracting frictions and inefficient layoffs of older workers," VfS Annual Conference 2016 (Augsburg): Demographic Change 145711, Verein für Socialpolitik / German Economic Association.
    18. Caroline Mothe & Thuc Uyen Nguyen-Thi, 2021. "Does age diversity boost technological innovation? Exploring the moderating role of HR practices," Post-Print hal-03969462, HAL.
    19. Jing Jiang & Xiaoqing Zhang & Caihong Huang, 2022. "Influence of Population Agglomeration on Urban Economic Resilience in China," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    20. Lis, Maciej & Magda, Iga, . "Dynamika płac w cyklu życia a indywidualny stan zdrowia," Gospodarka Narodowa-The Polish Journal of Economics, Szkoła Główna Handlowa w Warszawie / SGH Warsaw School of Economics, vol. 2014(4).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:masjnl:v:10:y:2016:i:5:p:21. 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.

    If CitEc recognized a bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.