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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.
The Effect of Circular Economy Implementation, Environmental Awareness, and Green Technology on Resource Efficiency in Manufacturing Industries in West Java Judijanto, Loso; Haryanto, Anung; Setiyawan, Heri
West Science Social and Humanities Studies Vol. 2 No. 12 (2024): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v2i12.1490

Abstract

This study examines the effects of circular economy implementation, environmental awareness, and green technology adoption on resource efficiency in manufacturing industries in West Java. Using quantitative analysis, data were collected from 190 respondents through a Likert-scale questionnaire (1-5) and analyzed with Structural Equation Modeling-Partial Least Squares (SEM-PLS 3). The findings reveal that all three factors significantly enhance resource efficiency, with green technology showing the strongest impact. Circular economy practices optimize resource utilization, while environmental awareness fosters sustainable organizational behavior. The integration of these factors explains 62% of the variance in resource efficiency, highlighting the importance of an integrated approach to sustainability. The study provides actionable insights for policymakers and industry leaders to promote sustainable practices and adopt green innovations in manufacturing.
PENGARUH STRUKTUR ORGANISASI DAN KINERJA PEGAWAI TERHADAP PRODUKTIVITAS KERJA DI PT. SAKURA JAVA INDONESIA Haryanto, Anung
SECAD Vol 1 No 1 (2021): SECAD
Publisher : SECAD

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pengaruh Struktur Organisasi dan Kinerja pegawai terhadap Produktivitas kerja di PT. Sakura Java Indonesia. Tujuan dari penelitian ini adalah untuk melihat bagaimana Pengaruh Struktur Organisasi dan Kinerja pegawai terhadap Produktivitas kerja di PT. Sakura Java Indonesia. Metode yang digunakan dalam penelitian ini adalah penelitian yang bersifat deskriptif dan verivikatif. Teknik pengumpulan data menggunakan kuesioner, observasi dan studi kepustakaan. Sedangkan metode analisis data yang digunakan dalam penelitian ini adalah uji validitas, uji reliabilitas, analisis jalur, uji T dan uji F menggunakan SPSS (Statistical Package for the Social Sciences). Berdasarkan hasil analisis yang dilakukan maka dapat disimpulkan bahwa struktur organisasi berpengaruh sebesar 8,60 % terhadap Produktivitas Kerja, Kinerja berpengaruh sebesar 6,30 % terhadap Produktivitas Kerja dan secara bersama-sama Struktur organisasi dan Kinerja mempunyai pengaruh sebesara 14,90 % terhadap Produktivitas Kerja di PT. Sakura Java Indonesia. Berdasarkan hasil penelitian tersebut maka langkah-langkah yang perlu diambil oleh Manajemen PT. Sakura Java Indonesia adalah agar melakukan upaya lebih meningkatkan produktivitas kerja Pegawai melalui perbaikan struktur organisasi dan peningkatan kinerja secara intensif, berkelanjutan dan terkoordinasi, serta tidak ada salahnya melakukan banchmark ke perusahaan sejenis.
Digital Business Strategy and Artificial Intelligence as Determinants of Corporate Competitiveness in Indonesia Haryanto, Anung; Muhtadi, Muhamad Ammar
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.3823

Abstract

This study investigates the influence of Digital Business Strategy (DBS) and Artificial Intelligence (AI) adoption on corporate competitiveness among companies in Indonesia. Using a quantitative, cross-sectional design, data were collected from 85 managerial respondents representing various industries through a structured questionnaire using a 5-point Likert scale. The data were processed with SPSS 25, including descriptive statistics, tests of validity and reliability, classical assumption diagnostics, and multiple linear regression. The empirical results show that both DBS and AI adoption have positive and statistically significant effects on corporate competitiveness, whether examined separately or jointly. The regression model indicates that the two predictors together explain 50.6% of the variance in competitiveness, suggesting that digital transformation constitutes an important driver of strategic performance. DBS emerges as the dominant predictor, underscoring the need to align digital initiatives with organizational goals, resources, and market positioning. AI adoption further strengthens competitiveness by supporting data-driven decision making, improving operational efficiency, and enhancing customer value creation. The findings highlight the growing importance of digital capabilities for firms seeking to sustain advantage in Indonesia’s dynamic, technology-intensive business environment and provide practical insights for managers and policymakers aiming to accelerate digital transformation in emerging markets. Future studies may extend this work by using larger samples, additional performance indicators, and comparative settings across countries or sectors.