Author
Listed:
- Sanaz Hadji
- Peyman Gholizadeh
- Neda Naghavi
Abstract
Purpose - With drastic changes in the external environment, many organizations today cannot continue their activities and create sustainability in achieving long-term goals without having carefully designed and coordinated systems with each other. The human resource performance management system is considered as one of the most important process pillars of any organization that without any specific strategic mechanism, such as inclusive learning, faces challenges and harmful conflicts. The purpose of this study is to diagnose human resource performance management based on the lack of ambidextrous learning themes in the banking system. Design/methodology/approach - In this study, theoretical screening based on similar research was used to identify the components (diagnosing of human resource performance management) and research propositions (ambidextrous learning themes). Then, Delphi analysis was used to determine the reliability of research components and propositions by the participation of 13 management specialists and experts. In the quantitative part, the components and propositions identified in the form of matrix questionnaires were evaluated by interpretive analysis by 18 managers of banking system. Findings - The results showed that the proposition of lack of strategic tendencies in learning is considered as the most effective theme of ambidextrous learning in reinforcing the damage of strategic incompatibility in the performance functions of human resource management (HRM). Originality/value - This result shows that the lack of strategic orientations due to the ineffectiveness in identifying environmental capacities in the banking system in the field of HRM performance is a new challenge.
Suggested Citation
Sanaz Hadji & Peyman Gholizadeh & Neda Naghavi, 2022.
"Diagnosing of human resource performance management based on lack of ambidextrous learning themes: a case study of public Iranian banking system,"
International Journal of Ethics and Systems, Emerald Group Publishing Limited, vol. 38(3), pages 484-509, February.
Handle:
RePEc:eme:ijoesp:ijoes-05-2021-0101
DOI: 10.1108/IJOES-05-2021-0101
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
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:eme:ijoesp:ijoes-05-2021-0101. 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: Emerald Support (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.