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The Role of Talent Development in Organizational Change: A Bibliometric Analysis of Global Corporate Trends Loso Judijanto; Apriyanto Apriyanto; Siti Maria; Purwinahyu Purwinahyu; Rohana Nur Aini
West Science Interdisciplinary Studies Vol. 2 No. 10 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i10.1350

Abstract

The evolution and key themes in the field of talent management research from 2000 to 2024 are highlighted in this study's thorough bibliometric analysis and thematic overview. Effective human resource strategies inside organizations are determined to be based on the fundamental elements of talent management, which include leadership, training and development, and organizational performance. It is acknowledged that the incorporation of technology innovations, including big data, machine learning, and digital transformation, has a revolutionary impact on talent management procedures by permitting more predictive and data-driven methods. In addition to discussing the implications of diversity and inclusion in cultivating a creative and flexible workforce, this study examines the strategic significance of matching organizational objectives with talent management in order to improve competitive advantage. The study also discusses the potential and problems associated with technology integration in human resources, stressing the importance of ethical concerns and upholding a human-centered approach in the face of technological breakthroughs.
Pengaruh Budaya Organisasi dan Gaya Kepemimpinan Transformasional Terhadap Kinerja Karyawan Dealer Astra Motor Honda M. Yamin Samarinda Sarah Sasca Hisana; Irsan Tricahyadinata; Purwinahyu Purwinahyu
Ekopedia: Jurnal Ilmiah Ekonomi Vol. 2 No. 2 (2026): APRIL-JUNI 2026
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/wp0ta809

Abstract

This study aims to analyze the influence of organizational culture and transformational leadership style on employee performance at Astra Motor Honda M. Yamin Samarinda Dealer. The research uses a quantitative approach with a population of 78 employees, using a saturated sampling technique. Data were collected through questionnaires and analyzed using multiple linear regression with SPSS. The results show that organizational culture does not have a significant effect on employee performance. Meanwhile, transformational leadership style has a positive and significant effect on employee performance. This indicates that leadership plays a more dominant role in improving employee performance compared to organizational culture. This study is expected to provide useful input for management in improving employee performance and developing effective human resource management strategies.  
Pengaruh Keterlibatan Pegawai dan Pengembangan Karir Terhadap Loyalitas Pegawai Badan Kesatuan Bangsa dan Politik Kutai Timur Ibrahim Ibrahim; Djoko Setyadi; Purwinahyu Purwinahyu
Jejak digital: Jurnal Ilmiah Multidisiplin Vol. 2 No. 3 (2026): MEI 2026
Publisher : INDO PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/14r3fy88

Abstract

This study aims to analyze the influence of employee engagement and career development on employee loyalty at the National Unity and Politics Agency (Kesbangpol) of East Kutai Regency. The research background is grounded in the dynamics of employment status transitions from Regional Contract Workers (TK2D) to Government Employees with Work Agreements (P3K), which significantly affected career expectations and work engagement levels in local government institutions. A quantitative approach with descriptive and inferential statistical design was employed. The population and sample consisted of all 61 employees of Kesbangpol East Kutai using total sampling (census) technique. Data were collected through a Likert scale questionnaire (1–5) and analyzed using multiple linear regression, partial t-test, and simultaneous F-test, preceded by classical assumption tests including normality, multicollinearity, autocorrelation, and heteroscedasticity. Results showed: (1) employee engagement had a positive and significant effect on employee loyalty (t = 2.026; sig. = 0.047); (2) career development had a positive and significant effect on loyalty (t = 4.435; sig. = 0.000); (3) simultaneously, both variables significantly affected employee loyalty (F = 26.958; sig. = 0.000) with a contribution of 48.2% (R² = 0.482). These findings confirm that strengthening employee engagement through empowerment and participatory work, alongside developing a transparent and equitable career system, are key strategies for building employee loyalty in local government institutions.
Artificial Intelligence and Labor Markets: Analyzing Job Displacement and Creation Siti Maria; Purwinahyu Purwinahyu; Fitriansyah Fitriansyah; Arvita Rachmawaty; Rohana Nur Aini
International Journal of Engineering, Science and Information Technology Vol 5, No 2 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i2.830

Abstract

 Artificial Intelligence (AI) is transforming labour markets through automation, job displacement, and the creation of new employment opportunities. This study employs a descriptive and comparative research design to analyze AI's impact across various industries, using statistical trend analysis, comparative sector evaluations, and qualitative NVivo-style interview analysis. Findings indicate that industries such as manufacturing and retail experience high job displacement rates (45% and 35%), whereas healthcare and Education show higher AI-driven job creation (50% and 60%). A major challenge identified is the AI skills gap, where 84% of interview respondents highlighted difficulties in workforce adaptation due to the lack of AI-related training programs. The trend analysis reveals a 55% increase in AI job creation between 2015-2025, but many workers remain unprepared for these new roles. Comparative industry analysis suggests that countries and sectors investing in reskilling initiatives and AI governance policies experience lower AI-induced unemployment rates. Beyond economic concerns, this study highlights AI's psychological and social implications in the workplace, such as job insecurity, workplace surveillance, and mental health challenges. To address these issues, governments and corporations must implement AI workforce reskilling programs, fair labour policies, and ethical AI deployment strategies. The research concludes that proactive AI governance and workforce adaptation strategies are essential for ensuring an inclusive and sustainable labour market transition.