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The Influence of Predictive Analytics, Agile Workforce Leadership, and Robotic HR Interface on Organizational Innovation in West Java Automotive Manufacturers Immamah, Eka; Haryanto, Anung; Priyana, Yana
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.1983

Abstract

This study investigates the influence of Predictive Analytics, Agile Workforce Leadership, and Robotic HR Interface on Organizational Innovation in West Java’s automotive manufacturing sector. Employing a quantitative approach, data were collected from 180 participants using a Likert scale (1–5) and analyzed via Structural Equation Modeling - Partial Least Squares (SEM-PLS) 3. The findings reveal that all three predictors significantly enhance organizational innovation, with Robotic HR Interface having the strongest effect, followed by Agile Workforce Leadership and Predictive Analytics. The model demonstrates substantial explanatory and predictive power (R² = 0.794, Q² = 0.788), highlighting the critical role of integrating technology and agile leadership in fostering innovation. The study contributes to the literature on innovation by emphasizing the interplay of technological tools and leadership strategies in a dynamic industrial context.
The Influence of Predictive Analytics, Agile Workforce Leadership, and Robotic HR Interface on Organizational Innovation in West Java Automotive Manufacturers Immamah, Eka; Haryanto, Anung; Priyana, Yana
West Science Interdisciplinary Studies Vol. 3 No. 06 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i06.1983

Abstract

This study investigates the influence of Predictive Analytics, Agile Workforce Leadership, and Robotic HR Interface on Organizational Innovation in West Java’s automotive manufacturing sector. Employing a quantitative approach, data were collected from 180 participants using a Likert scale (1–5) and analyzed via Structural Equation Modeling - Partial Least Squares (SEM-PLS) 3. The findings reveal that all three predictors significantly enhance organizational innovation, with Robotic HR Interface having the strongest effect, followed by Agile Workforce Leadership and Predictive Analytics. The model demonstrates substantial explanatory and predictive power (R² = 0.794, Q² = 0.788), highlighting the critical role of integrating technology and agile leadership in fostering innovation. The study contributes to the literature on innovation by emphasizing the interplay of technological tools and leadership strategies in a dynamic industrial context.
Exploring Human Resources Development as a Determining Factor for Organizational Success: A Qualitative Approach Pahala, Yosi; Haryanto, Anung; Nurhidayati, Ninin; Subehana, Subehana; Sidjabat, Sonya
Dinasti International Journal of Management Science Vol. 6 No. 6 (2025): Dinasti International Journal of Management Science (July - August 2025)
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijms.v6i6.5317

Abstract

This research explores the strategy of human resource development in Jakarta universities in the face of digital transformation and the Independent Learning Independent Campus (MBKM) policy, as well as the role of digitalization of HR management (Digital HR) in increasing organizational effectiveness. The method used is a qualitative approach with secondary data analysis from national and international journals over the past ten years. The results show that HR competence is the main factor in organizational success in the digital era. Technology-based HR development strategies, with stakeholder support, produce adaptive, innovative, and globally competitive human resources. Organizations that are responsive to technological and social change tend to have an edge over the competition. This study has limitations, such as the use of secondary studies that are not representative of all organizations, and has not been in-depth analyzing organizational cultural factors, technological readiness, and policy support. The absence of primary data also makes the research results theoretical. Nevertheless, these findings make an important conceptual contribution and can serve as a basis for further research in developing HR management models that are relevant to the demands of the digital age and the implementation of MBKM policies.