JOURNAL ARTICLE

Role Balance Assignment Based on OCAT Method in Human Resource Planning.

  • Published In: Journal of Information & Knowledge Management, 2024, v. 23, n. 5. P. 1 1 of 3

  • Database: The Belt and Road Initiative Reference Source 2 of 3

  • Authored By: Que, Xiaoping 3 of 3

Abstract

The core of human resources is the division of labour of enterprise employees. A human resource allocation method based on the E-CARGO model was designed to improve the development potential of enterprises and balance the preferences of managers and the task execution of employees in human resource allocation. This method was used to analyse the preferences of enterprise managers for employees and describe their preferences using the E-CARGO model. Then the OCAT method was used to mine the relationship between the team execution and the preferences of managers to find the balance between the two. The results showed that the experimental Scheme found the balance between the team execution and the preferences of managers. The original experimental scheme found three balance points, the improved scheme found three balance points, and the improved scheme found one balance point and one balance interval. Among the three experimental schemes, the improvement Scheme 1 achieved the highest execution ability and the shortest time. The research successfully analyses the relationship between the team execution and the preferences of managers in enterprise human resource assignment and puts forward a human resource assignment scheme that takes both into account. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Information & Knowledge Management. 2024/10, Vol. 23, Issue 5, p1
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2024
  • ISSN:0219-6492
  • DOI:10.1142/S0219649224500722
  • Accession Number:179673708
  • Copyright Statement:Copyright of Journal of Information & Knowledge Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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