Aleksandar Radonjić , Henrique Duarte , Nádia Pereira
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With regard to decision-making, artificial intelligence (AI) takes task delegation to a new level, and by employing AI-assisted tools, companies can provide their HR departments with the means to manage the existing data and HR altogether.</p></div><div><h3>Objectives</h3><p>To determine how HR managers assess whether BD management is facilitated by AI, and how they frame the changes necessary to meet the trends related to AI and its implementation, namely their willingness to master its implementation and to meet the possible challenges.</p></div><div><h3>Methodology</h3><p>Content analysis was conducted on interviews held with a sample of 16 HR practitioners from a spectrum of areas, and the findings were analysed using the big data maturity model (BDMM) framework. Domains covered by this model allow the study of decision-making trends, in terms of preparedness and willingness to tackle disruptive technology with the aim of improving and gaining the competitive edge in decision-making.</p></div><div><h3>Findings</h3><p>The central potential of AI lies in faster data storage and processing power, thereby leading to more insightful and effective decision-making. This article contains closer insights into the challenges underlying the implementation of AI in decision-making processes, specifically in terms of strategic alignment, governance, and implementation. The results reflect the notions regarding the nature of AI – in assisting HR – and lay out the path that precedes the extraction of BD, through the delivery of advantageous intelligence, to augment decision-making in HR.</p></div>","PeriodicalId":48290,"journal":{"name":"European Management Journal","volume":"42 1","pages":"Pages 57-66"},"PeriodicalIF":7.5000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and HRM: HR managers’ perspective on decisiveness and challenges\",\"authors\":\"Aleksandar Radonjić , Henrique Duarte , Nádia Pereira\",\"doi\":\"10.1016/j.emj.2022.07.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Focus</h3><p>The transformative power of today's big data (BD) has allowed many companies, i.e., decision-makers, to evolve at an unprecedented pace. With regard to decision-making, artificial intelligence (AI) takes task delegation to a new level, and by employing AI-assisted tools, companies can provide their HR departments with the means to manage the existing data and HR altogether.</p></div><div><h3>Objectives</h3><p>To determine how HR managers assess whether BD management is facilitated by AI, and how they frame the changes necessary to meet the trends related to AI and its implementation, namely their willingness to master its implementation and to meet the possible challenges.</p></div><div><h3>Methodology</h3><p>Content analysis was conducted on interviews held with a sample of 16 HR practitioners from a spectrum of areas, and the findings were analysed using the big data maturity model (BDMM) framework. Domains covered by this model allow the study of decision-making trends, in terms of preparedness and willingness to tackle disruptive technology with the aim of improving and gaining the competitive edge in decision-making.</p></div><div><h3>Findings</h3><p>The central potential of AI lies in faster data storage and processing power, thereby leading to more insightful and effective decision-making. This article contains closer insights into the challenges underlying the implementation of AI in decision-making processes, specifically in terms of strategic alignment, governance, and implementation. The results reflect the notions regarding the nature of AI – in assisting HR – and lay out the path that precedes the extraction of BD, through the delivery of advantageous intelligence, to augment decision-making in HR.</p></div>\",\"PeriodicalId\":48290,\"journal\":{\"name\":\"European Management Journal\",\"volume\":\"42 1\",\"pages\":\"Pages 57-66\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Management Journal\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0263237322000883\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Management Journal","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0263237322000883","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
Artificial intelligence and HRM: HR managers’ perspective on decisiveness and challenges
Focus
The transformative power of today's big data (BD) has allowed many companies, i.e., decision-makers, to evolve at an unprecedented pace. With regard to decision-making, artificial intelligence (AI) takes task delegation to a new level, and by employing AI-assisted tools, companies can provide their HR departments with the means to manage the existing data and HR altogether.
Objectives
To determine how HR managers assess whether BD management is facilitated by AI, and how they frame the changes necessary to meet the trends related to AI and its implementation, namely their willingness to master its implementation and to meet the possible challenges.
Methodology
Content analysis was conducted on interviews held with a sample of 16 HR practitioners from a spectrum of areas, and the findings were analysed using the big data maturity model (BDMM) framework. Domains covered by this model allow the study of decision-making trends, in terms of preparedness and willingness to tackle disruptive technology with the aim of improving and gaining the competitive edge in decision-making.
Findings
The central potential of AI lies in faster data storage and processing power, thereby leading to more insightful and effective decision-making. This article contains closer insights into the challenges underlying the implementation of AI in decision-making processes, specifically in terms of strategic alignment, governance, and implementation. The results reflect the notions regarding the nature of AI – in assisting HR – and lay out the path that precedes the extraction of BD, through the delivery of advantageous intelligence, to augment decision-making in HR.
期刊介绍:
The European Management Journal (EMJ) stands as a premier scholarly publication, disseminating cutting-edge research spanning all realms of management. EMJ articles challenge conventional wisdom through rigorously informed empirical and theoretical inquiries, offering fresh insights and innovative perspectives on key management themes while remaining accessible and engaging for a wide readership.
EMJ articles embody intellectual curiosity and embrace diverse methodological approaches, yielding contributions that significantly influence both management theory and practice. We actively seek interdisciplinary research that integrates distinct research traditions to illuminate contemporary challenges within the expansive domain of European business and management. We strongly encourage cross-cultural investigations addressing the unique challenges faced by European management scholarship and practice in navigating global issues and contexts.