IDEAS home Printed from https://ideas.repec.org/a/ibn/assjnl/v12y2016i7p159.html
   My bibliography  Save this article

Rating Effective Factors on Motivating Employees for Job Persistence by Using Fuzzy AHP Method: A Case Study among the Employees of the Deqat Khodro Kousha (IPACO) Company

Author

Listed:
  • Seyed Mehdi Khadem
  • Darush Rahmati
  • Ali Yavari
  • Seyed Ehsan Etemadifar
  • Alireza Eftekharian

Abstract

The goal of this research is to prioritize effective factors on motivating employees to keep on working and determining the most important effective factors on the employees' motivation. In this paper, to grade effective factors on the employees' motivation for keeping on to work, the Fuzzy AHP method, which is one of the multi-standard decision-making methods was utilized. Field research and library research methods were used for collecting the needed information. Results indicated that among the effective factors on the employees' motivation for job persistence, the health factor is the most important and financial status is the second most important factor. The least importance is given to the significance of the work for that person. In this paper, the effective factors on the employees' motivation for job persistence were rated for the first time. Results of this research are very useful in devising strategies that are related to keeping employees for the human resources' executives. The results of this paper are not applicable to all organizations. Furthermore, in this research, only the factors with positive impacts on employees for job persistence were rated.

Suggested Citation

  • Seyed Mehdi Khadem & Darush Rahmati & Ali Yavari & Seyed Ehsan Etemadifar & Alireza Eftekharian, 2016. "Rating Effective Factors on Motivating Employees for Job Persistence by Using Fuzzy AHP Method: A Case Study among the Employees of the Deqat Khodro Kousha (IPACO) Company," Asian Social Science, Canadian Center of Science and Education, vol. 12(7), pages 159-159, July.
    • Handle: RePEc:ibn:assjnl:v:12:y:2016:i:7:p:159
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/ass/article/download/57905/32580
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/ass/article/view/57905
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    2. Kate Shacklock, 2006. "Extended working lives? The meaning of working to older university workers in Australia," International Journal of Human Resources Development and Management, Inderscience Enterprises Ltd, vol. 6(2/3/4), pages 161-173.
    3. Jackson, N. & Walter, M. & Felmingham, B. & Spinaze, A., 2006. "Will Older Workers Change Their Retirement Plans in Line with Government Thinking? A Review of Recent Literature on Retirement Intentions," Australian Bulletin of Labour, National Institute of Labour Studies, vol. 32(4), pages 315-344.
    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. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    2. Fatih Yiğit & Şakir Esnaf, 2021. "A new Fuzzy C-Means and AHP-based three-phased approach for multiple criteria ABC inventory classification," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1517-1528, August.
    3. Rachele Corticelli & Margherita Pazzini & Cecilia Mazzoli & Claudio Lantieri & Annarita Ferrante & Valeria Vignali, 2022. "Urban Regeneration and Soft Mobility: The Case Study of the Rimini Canal Port in Italy," Sustainability, MDPI, vol. 14(21), pages 1-27, November.
    4. Lin, Sheng-Hau & Zhao, Xiaofeng & Wu, Jiuxing & Liang, Fachao & Li, Jia-Hsuan & Lai, Ren-Ji & Hsieh, Jing-Chzi & Tzeng, Gwo-Hshiung, 2021. "An evaluation framework for developing green infrastructure by using a new hybrid multiple attribute decision-making model for promoting environmental sustainability," Socio-Economic Planning Sciences, Elsevier, vol. 75(C).
    5. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    6. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    7. Denys Yemshanov & Frank H. Koch & Yakov Ben‐Haim & Marla Downing & Frank Sapio & Marty Siltanen, 2013. "A New Multicriteria Risk Mapping Approach Based on a Multiattribute Frontier Concept," Risk Analysis, John Wiley & Sons, vol. 33(9), pages 1694-1709, September.
    8. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    9. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    10. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    11. Jitendar Kumar Khatri & Bhimaraya Metri, 2016. "SWOT-AHP Approach for Sustainable Manufacturing Strategy Selection: A Case of Indian SME," Global Business Review, International Management Institute, vol. 17(5), pages 1211-1226, October.
    12. Vlachokostas, Ch. & Michailidou, A.V. & Achillas, Ch., 2021. "Multi-Criteria Decision Analysis towards promoting Waste-to-Energy Management Strategies: A critical review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 138(C).
    13. Cui, Ye & E, Hanyu & Pedrycz, Witold & Fayek, Aminah Robinson, 2022. "A granular multicriteria group decision making for renewable energy planning problems," Renewable Energy, Elsevier, vol. 199(C), pages 1047-1059.
    14. Jha, Madan K. & Chowdary, V.M. & Kulkarni, Y. & Mal, B.C., 2014. "Rainwater harvesting planning using geospatial techniques and multicriteria decision analysis," Resources, Conservation & Recycling, Elsevier, vol. 83(C), pages 96-111.
    15. Om Prakash Mishra & Mahesh Chand & Krishan Kumar & Prashant Mishra, 2023. "Investigating applicability of green supply chain management in manufacturing sectors," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(4), pages 1183-1196, August.
    16. David Han-Min Wang & Quang Linh Huynh, 2013. "Mediating Role of Knowledge Management in Effect of Management Accounting Practices on Firm Performance," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(3), pages 1-10, June.
    17. Luis Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Alejandro Alvarado-Iniesta & David Luviano Cruz & Zeshui Xu, 2018. "MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making," Complexity, Hindawi, vol. 2018, pages 1-10, April.
    18. Neha Arora & Naresh Kumar, 2021. "Does Financial Inclusion Promote Human Development? Evidence from India," Jindal Journal of Business Research, , vol. 10(2), pages 163-184, December.
    19. Hossain, Mohammad Khalid & Meng, Qingmin, 2020. "A fine-scale spatial analytics of the assessment and mapping of buildings and population at different risk levels of urban flood," Land Use Policy, Elsevier, vol. 99(C).
    20. Kun Chen & Gang Kou & J. Michael Tarn & Yan Song, 2015. "Bridging the gap between missing and inconsistent values in eliciting preference from pairwise comparison matrices," Annals of Operations Research, Springer, vol. 235(1), pages 155-175, December.

    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:assjnl:v:12:y:2016:i:7:p:159. 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.