{"title":"人工智能在通过技术能力中介加强人力资源系统方面的作用","authors":"Sura Al-Ayed","doi":"10.21511/ppm.22(2).2024.40","DOIUrl":null,"url":null,"abstract":"This study aims to investigate the relationships between artificial intelligence in human resources (HR), technology competence, and HR system strength within organizations. Employing a cross-sectional methodology, survey data were collected from 272 employees working in HR departments in the private sector of Saudi Arabia. Partial least squares structural equation modeling was utilized for analysis to evaluate these relationships. The results indicate a significant positive relationship between artificial intelligence in HR and both technology competence (β = 0.444, p < 0.001) and HR system strength (β = 0.539, p < 0.001). Additionally, there is a positive impact of technology competence on HR system strength (β = 0.272, p = 0.021). These findings underscore the importance of investing in AI technologies and enhancing employees’ technological skills to improve HR system effectiveness. Furthermore, the study emphasizes the necessity for organizations to prioritize agility and adaptability in HR strategies while addressing ethical and social considerations surrounding AI in HR practices. Moreover, the study elucidates the role of artificial intelligence in fostering innovation and sustainability within HR practices, contributing to organizational resilience and competitiveness.\nAcknowledgmentThe author extends her appreciation to the Arab Open University for funding this work through Research Fund No. (AOUKSA-524008).","PeriodicalId":509767,"journal":{"name":"Problems and Perspectives in Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Role of artificial intelligence for strengthening human resource system via mediation of technology competence\",\"authors\":\"Sura Al-Ayed\",\"doi\":\"10.21511/ppm.22(2).2024.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to investigate the relationships between artificial intelligence in human resources (HR), technology competence, and HR system strength within organizations. Employing a cross-sectional methodology, survey data were collected from 272 employees working in HR departments in the private sector of Saudi Arabia. Partial least squares structural equation modeling was utilized for analysis to evaluate these relationships. The results indicate a significant positive relationship between artificial intelligence in HR and both technology competence (β = 0.444, p < 0.001) and HR system strength (β = 0.539, p < 0.001). Additionally, there is a positive impact of technology competence on HR system strength (β = 0.272, p = 0.021). These findings underscore the importance of investing in AI technologies and enhancing employees’ technological skills to improve HR system effectiveness. Furthermore, the study emphasizes the necessity for organizations to prioritize agility and adaptability in HR strategies while addressing ethical and social considerations surrounding AI in HR practices. Moreover, the study elucidates the role of artificial intelligence in fostering innovation and sustainability within HR practices, contributing to organizational resilience and competitiveness.\\nAcknowledgmentThe author extends her appreciation to the Arab Open University for funding this work through Research Fund No. (AOUKSA-524008).\",\"PeriodicalId\":509767,\"journal\":{\"name\":\"Problems and Perspectives in Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-06-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Problems and Perspectives in Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21511/ppm.22(2).2024.40\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Problems and Perspectives in Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21511/ppm.22(2).2024.40","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Role of artificial intelligence for strengthening human resource system via mediation of technology competence
This study aims to investigate the relationships between artificial intelligence in human resources (HR), technology competence, and HR system strength within organizations. Employing a cross-sectional methodology, survey data were collected from 272 employees working in HR departments in the private sector of Saudi Arabia. Partial least squares structural equation modeling was utilized for analysis to evaluate these relationships. The results indicate a significant positive relationship between artificial intelligence in HR and both technology competence (β = 0.444, p < 0.001) and HR system strength (β = 0.539, p < 0.001). Additionally, there is a positive impact of technology competence on HR system strength (β = 0.272, p = 0.021). These findings underscore the importance of investing in AI technologies and enhancing employees’ technological skills to improve HR system effectiveness. Furthermore, the study emphasizes the necessity for organizations to prioritize agility and adaptability in HR strategies while addressing ethical and social considerations surrounding AI in HR practices. Moreover, the study elucidates the role of artificial intelligence in fostering innovation and sustainability within HR practices, contributing to organizational resilience and competitiveness.
AcknowledgmentThe author extends her appreciation to the Arab Open University for funding this work through Research Fund No. (AOUKSA-524008).