M. Alam, Kazi Sirajum Munira, Md. Sahidur Rahman, Md. Aftab Uddin, Ayesha Akter
{"title":"人工智能(AI)促进人才招聘","authors":"M. Alam, Kazi Sirajum Munira, Md. Sahidur Rahman, Md. Aftab Uddin, Ayesha Akter","doi":"10.4018/ijhcitp.303950","DOIUrl":null,"url":null,"abstract":"The present study's aim is to investigate the intention to use and actual use of a artificial intelligence (AI) for talent acquisition in Bangladesh. The authors used deductive reasoning approach in a positive paradigm. The study finally collected 243 responses through self-administered questionnaire and used the PLS-based structural equation modeling to analyze the data. The findings of this study revealed that each of the predictors is significantly associated with the intention to use and actual use of AI for recruiting talents, excepting the influence of facilitation conditions on actual use of AI. The influence of age demonstrated that there is no moderating effect of the influence of users' intention to use on actual use of AI for talent acquisition. This study also advances knowledge in AI adoption for recruiting talents, and enhances literature in the fields of AI adoption for recruiting talents by providing insights for the policy makers in a developing country's context. Furthermore, the study also provides insightful directions for future researchers.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial Intelligence (AI) for Talent Acquisition\",\"authors\":\"M. Alam, Kazi Sirajum Munira, Md. Sahidur Rahman, Md. Aftab Uddin, Ayesha Akter\",\"doi\":\"10.4018/ijhcitp.303950\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The present study's aim is to investigate the intention to use and actual use of a artificial intelligence (AI) for talent acquisition in Bangladesh. The authors used deductive reasoning approach in a positive paradigm. The study finally collected 243 responses through self-administered questionnaire and used the PLS-based structural equation modeling to analyze the data. The findings of this study revealed that each of the predictors is significantly associated with the intention to use and actual use of AI for recruiting talents, excepting the influence of facilitation conditions on actual use of AI. The influence of age demonstrated that there is no moderating effect of the influence of users' intention to use on actual use of AI for talent acquisition. This study also advances knowledge in AI adoption for recruiting talents, and enhances literature in the fields of AI adoption for recruiting talents by providing insights for the policy makers in a developing country's context. Furthermore, the study also provides insightful directions for future researchers.\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijhcitp.303950\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijhcitp.303950","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial Intelligence (AI) for Talent Acquisition
The present study's aim is to investigate the intention to use and actual use of a artificial intelligence (AI) for talent acquisition in Bangladesh. The authors used deductive reasoning approach in a positive paradigm. The study finally collected 243 responses through self-administered questionnaire and used the PLS-based structural equation modeling to analyze the data. The findings of this study revealed that each of the predictors is significantly associated with the intention to use and actual use of AI for recruiting talents, excepting the influence of facilitation conditions on actual use of AI. The influence of age demonstrated that there is no moderating effect of the influence of users' intention to use on actual use of AI for talent acquisition. This study also advances knowledge in AI adoption for recruiting talents, and enhances literature in the fields of AI adoption for recruiting talents by providing insights for the policy makers in a developing country's context. Furthermore, the study also provides insightful directions for future researchers.