Journal of Innovation & Knowledge, Год журнала: 2024, Номер 9(4), С. 100602 - 100602
Опубликована: Окт. 1, 2024
Язык: Английский
SSRN Electronic Journal, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
The integration of generative artificial intelligence (AI) systems, such as ChatGPT, into Human Resource Management (HRM) has marked the beginning a groundbreaking era in innovative workforce management and employee engagement. This research investigates pivotal role played by ChatGPT analogous AI technologies HRM, underscoring their significance realms recruitment, training, organizational communication. Leveraging natural language processing abilities, these systems streamline recruitment process, ensuring unbiased candidate selection enhancing overall efficiency HR departments. Moreover, training development initiatives, facilitates tailored learning experiences, adjusting content to meet individual needs, thereby fostering skill enhancement professional growth. Nevertheless, widespread adoption HRM is not without its challenges. Ethical concerns, data privacy algorithmic bias, necessitate thorough examination prevent discriminatory practices guarantee equitable treatment employees. Additionally, requirement for continuous monitoring refinement algorithms align with evolving cultures goals presents significant hurdle. striking harmonious balance between AI-driven automation human intervention imperative preserve touch processes, safeguarding empathetic intuitive elements that are essential effective management. delves complex dynamics, shedding light on transformative potential akin while also emphasizing need vigilance strategic planning address associated Through an exhaustive analysis real-world case studies ethical frameworks, this study offers valuable insights professionals, policymakers, researchers endeavoring navigate intricate landscape AI-powered HRM.
Язык: Английский
Процитировано
28
Heliyon, Год журнала: 2024, Номер 10(5), С. e27026 - e27026
Опубликована: Март 1, 2024
This study presents a comprehensive analysis comparing the literacy levels of two Generative Artificial Intelligence (GAI) tools, ChatGPT and Bard, using dataset 134 questions from Human Resources (HR) domain. The generated responses are evaluated for accuracy, relevance, clarity. We find that outperforms Bard in overall accuracy (84.3% vs. 82.8%). difference performance suggests could serve as robotic advisor transactional HR roles. In contrast, may possess additional safeguards against misuse function, making it less capable generating to certain types questions. Statistical tests reveal although systems differ their mean clarity responses, observed differences not always statistically significant, implying both tools be more complementary than competitive. Pearson correlation coefficients further support this by showing weak non-existent relationships metrics between tools. Confirmation queries don't improve or Bard's response accuracy. thus contributes emerging research on utility GAI Management involving certified professionals design phase enhance underlying language model performance.
Язык: Английский
Процитировано
8
Studies in Economics and Business Relations, Год журнала: 2024, Номер 5(1), С. 11 - 23
Опубликована: Фев. 23, 2024
The integration of generative artificial intelligence (AI) systems, such as ChatGPT, into Human Resource Management (HRM) has marked the beginning a groundbreaking era in innovative workforce management and employee engagement. This research investigates pivotal role played by ChatGPT analogous AI technologies HRM, underscoring their significance realms recruitment, training, organizational communication. Leveraging natural language processing abilities, these systems streamline recruitment process, ensuring unbiased candidate selection enhancing overall efficiency HR departments. Moreover, training development initiatives, facilitates tailored learning experiences, adjusting content to meet individual needs, thereby fostering skill enhancement professional growth. Nevertheless, widespread adoption HRM is not without its challenges. Ethical concerns, data privacy algorithmic bias, necessitate thorough examination prevent discriminatory practices guarantee equitable treatment employees. Additionally, requirement for continuous monitoring refinement algorithms align with evolving cultures goals presents significant hurdle. striking harmonious balance between AI-driven automation human intervention imperative preserve touch processes, safeguarding empathetic intuitive elements that are essential effective management. delves complex dynamics, shedding light on transformative potential akin while also emphasizing need vigilance strategic planning address associated Through an exhaustive analysis real-world case studies ethical frameworks, this study offers valuable insights professionals, policymakers, researchers endeavoring navigate intricate landscape AI-powered HRM.
Язык: Английский
Процитировано
8
Jurnal Minfo Polgan, Год журнала: 2023, Номер 12(1), С. 1522 - 1532
Опубликована: Авг. 10, 2023
Human Resource Management (HRM) is an important aspect of the success organization or company. Effective and efficient HR management can help organizations better achieve their goals ensure optimal performance from each team member. However, also faced with various complex challenges, including large teams, diverse needs expectations members, rapid changes in business technological environment. This research aims to investigate effectiveness potential use ChatGPT as a decision-support tool management. literature review that adopts qualitative method approach, which means it will analyze interpret data by relying on information text sources. The study results show offers great improving efficiency, effectiveness, transparency processes. Artificial intelligence models such act virtual assistants provide text-based responses, assisting recruitment, employee development, management, support gather valuable insights about employees work environment, managers make more informed decisions.
Язык: Английский
Процитировано
11
European Journal of Business Management and Research, Год журнала: 2025, Номер 10(1), С. 44 - 55
Опубликована: Янв. 23, 2025
The rapid development of generative artificial intelligence (AI) has led to the recognition tools like ChatGPT and its potential transform human resource (HR) management processes, particularly in decision-making. This review study aims assess effectiveness benefits enhancing HR functions, decision-making, identify any challenges ethical considerations involved. Additionally, seeks establish a hybrid framework that combines AI-driven decision-making with oversight. A systematic literature was conducted using PRISMA guidelines, selecting 50 articles from Scopus Google Scholar databases. includes synthesis analysis publication trends keyword key themes such as ChatGPT’s impact on management. reveals can streamline improve communication, support personalized learning eventually contributing enhanced performance engagement. However, technology requires input for moral judgment empathy, presenting resistance adoption, algorithmic bias, data privacy concerns. uniquely contributes by providing role proposing addresses AI’s limitations through guidelines findings emphasize need empirical research larger, diverse settings future enhancements contextual understanding HR.
Язык: Английский
Процитировано
0
Jurnal Penelitian Pendidikan IPA, Год журнала: 2023, Номер 9(SpecialIssue), С. 150 - 158
Опубликована: Дек. 25, 2023
The evolution of technology in education has opened new doors for innovative teaching methods. One such breakthrough tool is ChatGPT, a learning model developed by Open AI. AI huge potential, not only to increase efficiency but also improve pedagogy more engaging experiences. purpose this research test the integration GPT Chat Project Based-Learning Learning. This uses systematic literature review method using Preferred Reporting Items Systematic Reviews (PRISMA). results explain that Industrial Revolution Era 4.0, educational institutions must prepare literacy and orientation field education, itself form data, technology, human resource literacy. Project-based emphasizes student activity solving various problems through series activities starting with gathering information, planning project, producing particular product packaged project work. stages project-based are Determining basic questions, developing plan, Developing schedule, Monitoring, Test results, Evaluation experience. ChatGPT or “thought partner”, said be useful variety purposes. application PjBL potential outcomes motivation Indonesia. Therefore, chat Based-learning needs receive further attention so it can make significant contribution improving quality
Язык: Английский
Процитировано
4
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika), Год журнала: 2024, Номер 9(2), С. 558 - 567
Опубликована: Май 21, 2024
Penelitian ini dilakukan untuk mengidentifikasi apakah program pengembangan kompetensi yang telah diterapkan dapat memberikan dampak positif pada peningkatan kualitas kinerja karyawan dan tingkat inovasi dalam lingkungan kerja. dengan menggunakan Artifical Intelligence (AI) ChatGPT membantu tim divisi Training / Learning & Development melakukan pemetaan merumuskan silabus masing-masing posisi job code perusahaan.Metode penelitian digunakan adalah Kombinasi yaitu melalui penerapan metode Experimental Observasi langsung, Wawancara Analisis Dokumen. Hasil menunjukkan bahwa di perusahaan bantuan Artificial mampu kebutuhan Teknik maupun Soft Skill harus dimiliki menjadi tolak ukur keberhasilan perusahaan.Namun, juga beberapa tantangan implementasi kompetensi. Tantangan termasuk koordinasi antara departemen terlibat, alokasi sumber daya, ketidakcocokan tidak adanya minat bakat terhadap disarankan serta perubahan strategi berdampak kesenjangan tujuan perusahaan. menyimpulkan memiliki meningkatkan Rekomendasi diajukan meliputi jangka panjang terbaru diimplementasikan sesuai
Процитировано
1
International Journal Of Humanities Education and Social Sciences (IJHESS), Год журнала: 2023, Номер 3(3)
Опубликована: Дек. 28, 2023
Employee competency development is the main pillar in strategy to advance organization. This research firmly aims identify positive impact of implementing a program on improving quality employee performance and level innovation work environment. With help ChatGPT's Artificial Intelligence (AI) effectively supports Learning/Training Development Division team detailing competencies required for each position job code company, as well formulating an appropriate syllabus. The methodology combines experimental observational approaches, in-depth interviews, document analysis by measuring Key Performance Indicator (KPI) eight employees IT then compiling skills matrix. study's findings demonstrate that may technical soft skill requirements staff members, particularly with regard leadership, ChatGPT, artificial intelligence platform. benchmark success programs company. concludes using ChatGPT has significant It recommends ongoing implementation, utilizing current methods can be adapted company's needs
Язык: Английский
Процитировано
2
Deleted Journal, Год журнала: 2024, Номер unknown
Опубликована: Сен. 4, 2024
The digital transformation of our world and the inevitable interplay between people, technologies, physical assets are creating a rapidly changing complex environment that requires organizations to be more agile ready embrace new ways working. Businesses realizing need for change succeed in age. In period global digitalization, information communication technologies one most important aspects existence business, which makes it efficient effective allows you quickly respond external environment, as well customer needs. At moment, there is high interest possibilities artificial intelligence use business tasks world, already examples successful implementation when machine learning fundamentally way people work increasing profits different countries. purpose this case study consider how affects value proposition elements model using technology. paper presents existing technology, consequences its application prospects advanced technologies. With literature review studies analysis, article aims provide comprehensive understanding impact AI on models, drawing from both theoretical insights practical experiences documented studies. This approach nuanced exploration topic contributes advancing knowledge field.
Язык: Английский
Процитировано
0
Опубликована: Май 30, 2024
Язык: Английский
Процитировано
0