Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning
In recent years, the application of artificial intelligence, especially machine learning, has grown significantly in the field of HRM, which is unknown to many managers and experts in the field of HR due to the newness of this field. A lot of data is being generated by users of organization in HRM d...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
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Allameh Tabataba'i University Press
2022-06-01
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| Series: | مطالعات مدیریت کسب و کار هوشمند |
| Subjects: | |
| Online Access: | https://ims.atu.ac.ir/article_14471_3b24ad6b6133957d7f22b4cd21a49477.pdf |
| _version_ | 1797386028140462080 |
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| author | Reyhaneh Forouzandeh Joonaghani mirali Seyednaghavi Vajhollah ghorbanizadeh Mohammad Taghi Taghavifard |
| author_facet | Reyhaneh Forouzandeh Joonaghani mirali Seyednaghavi Vajhollah ghorbanizadeh Mohammad Taghi Taghavifard |
| author_sort | Reyhaneh Forouzandeh Joonaghani |
| collection | DOAJ |
| description | In recent years, the application of artificial intelligence, especially machine learning, has grown significantly in the field of HRM, which is unknown to many managers and experts in the field of HR due to the newness of this field. A lot of data is being generated by users of organization in HRM domains and the related fields, which are difficult to analyze and use in HR activities. The capabilities of data science and machine learning have been able to make great contributions to the field of HRM and beyond to the management of the organization with descriptive, diagnostic, predictive and prescriptive reports and analyses. The purpose of the research is to examine the measures that have been taken so far in the field of HRM intelligence, and in this research, three main questions are answered. The first question is to identify HRM activities that can be made intelligent. In the second question, the application of various ML algorithms in HRMI has been identified. In the third question, based on the maturity levels of data analytics, the classification of "ML algorithms in intelligent HRM functions" has been made. In order to answer , a wide range of articles were extracted from reliable scientific databases and journals and analyzed based on a mixed method. In this method, qualitative and quantitative methods for data analysis were investigated at the same time. IN the quantitative part, text mining algorithms were used Python language, and in the qualitative part, thematic analysis was used MAXQDA2020 . |
| first_indexed | 2024-03-08T22:02:59Z |
| format | Article |
| id | doaj.art-22a274a8eb6345b5b67d08cb3ab76c82 |
| institution | Directory Open Access Journal |
| issn | 2821-0964 2821-0816 |
| language | fas |
| last_indexed | 2024-03-08T22:02:59Z |
| publishDate | 2022-06-01 |
| publisher | Allameh Tabataba'i University Press |
| record_format | Article |
| series | مطالعات مدیریت کسب و کار هوشمند |
| spelling | doaj.art-22a274a8eb6345b5b67d08cb3ab76c822023-12-19T10:34:46ZfasAllameh Tabataba'i University Pressمطالعات مدیریت کسب و کار هوشمند2821-09642821-08162022-06-01104026531010.22054/ims.2022.66412.216914471Human Resource Management Intelligence Pattern Based on Data Science and Machine LearningReyhaneh Forouzandeh Joonaghani0mirali Seyednaghavi1Vajhollah ghorbanizadeh2Mohammad Taghi Taghavifard3Allameh Tabataba'i Universityfaculty member allameh tabataba'i universityFaculty member of allameh tabataba'i universityIndustrial Management, Faculty of Management and Accounting, Allameh Tabataba'i University, Tehran, IranIn recent years, the application of artificial intelligence, especially machine learning, has grown significantly in the field of HRM, which is unknown to many managers and experts in the field of HR due to the newness of this field. A lot of data is being generated by users of organization in HRM domains and the related fields, which are difficult to analyze and use in HR activities. The capabilities of data science and machine learning have been able to make great contributions to the field of HRM and beyond to the management of the organization with descriptive, diagnostic, predictive and prescriptive reports and analyses. The purpose of the research is to examine the measures that have been taken so far in the field of HRM intelligence, and in this research, three main questions are answered. The first question is to identify HRM activities that can be made intelligent. In the second question, the application of various ML algorithms in HRMI has been identified. In the third question, based on the maturity levels of data analytics, the classification of "ML algorithms in intelligent HRM functions" has been made. In order to answer , a wide range of articles were extracted from reliable scientific databases and journals and analyzed based on a mixed method. In this method, qualitative and quantitative methods for data analysis were investigated at the same time. IN the quantitative part, text mining algorithms were used Python language, and in the qualitative part, thematic analysis was used MAXQDA2020 .https://ims.atu.ac.ir/article_14471_3b24ad6b6133957d7f22b4cd21a49477.pdfhuman resource management intelligencedata sciencemachine learning algorithmsdata analyticsartificial intelligence |
| spellingShingle | Reyhaneh Forouzandeh Joonaghani mirali Seyednaghavi Vajhollah ghorbanizadeh Mohammad Taghi Taghavifard Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning مطالعات مدیریت کسب و کار هوشمند human resource management intelligence data science machine learning algorithms data analytics artificial intelligence |
| title | Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning |
| title_full | Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning |
| title_fullStr | Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning |
| title_full_unstemmed | Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning |
| title_short | Human Resource Management Intelligence Pattern Based on Data Science and Machine Learning |
| title_sort | human resource management intelligence pattern based on data science and machine learning |
| topic | human resource management intelligence data science machine learning algorithms data analytics artificial intelligence |
| url | https://ims.atu.ac.ir/article_14471_3b24ad6b6133957d7f22b4cd21a49477.pdf |
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