IDEAS home Printed from https://ideas.repec.org/a/air/journl/v10y2023i3p170.html

Presenting a Cause-Effect Model of the Factors Affecting the Fundamental Competencies of Human Resource Managers in Service Start-ups with the DEMATEL Approach

Author

Listed:
  • Sayed Mousa Khademi
  • Mahshid Soleimani
  • Ali Shahnazari
  • Saeed AbdulManafi

Abstract

The current research has been done to provide a cause-effect model of the factors affecting the fundamental competencies of human resource managers in service start-ups using the Dematel approach. The research method is descriptive-survey with the statistical population of 12 experts, including university professors in the field of human resources and human resources managers and experts of service start-ups in three systems: Snappp, Tapsi and Maxim. At first, based on the research background, the factors affecting the fundamental competencies of human resource managers in service start-ups were determined, and then the DEMATEL technique was used as an approach to identify the cause-effect relationships. Then, with the method of Analytical Hierarchy Process (AHP), factors were prioritized in three taxi order systems. The results of this research showed that vision, leadership, and information technology have been identified as effective causal factors, and the Education and knowledge management, organizational culture, corporate communication, and rules of the organization have been identified as impressible factors. The results of the hierarchical analysis also showed that information technology has the uppermost priority in the Snapp and Tapsi taxi request system, but in the maxim system, vision and strategy receive the uppermost priority.

Suggested Citation

Handle: RePEc:air:journl:v:10:y:2023:i:3:p:170
DOI: 10.5281/zenodo.7905853
as

Download full text from publisher

File URL: https://www.ijmae.com/article_170323_4b19dd6dbebfde88b2928c629780dc67.pdf
Download Restriction: no

File URL: https://libkey.io/10.5281/zenodo.7905853?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

;
;
;
;

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:air:journl:v:10:y:2023:i:3:p:170. 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: Dr. Behzad Hassannezhad Kashani (email available below). General contact details of provider: https://www.ijmae.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.