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All Journal Aptisi Transactions on Management International Transactions on Artificial Intelligence (ITALIC)
Toh Hua, Chua
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Library & Information Science

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Workplace Digitalization and HR Innovation in the Era of Industry 5.0 Meria, Lista; Sunarjo, Richard Andre; Andayani, Dwi; Toh Hua, Chua
APTISI Transactions on Management (ATM) Vol 9 No 3 (2025): ATM (APTISI Transactions on Management: September)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/86sbgy17

Abstract

This study investigates the impact of workplace digitalization on human resource (HR) innovation within the context of Industry 5.0. While Industry 4.0 empha- sized automation, Industry 5.0 highlights the synergy between advanced tech- nologies and human-centric practices. To analyze this relationship, a survey was conducted involving 150 HR professionals across multiple industries in Indonesia, focusing on the adoption of digital HR tools and innovative practices. The findings reveal that workplace digitalization has a positive and significant ef- fect on HR innovation (β = 0.52, p < 0.01), particularly in recruitment, digital training, and performance management. However, barriers such as employee resistance and cybersecurity risks negatively moderate this relationship. This re- search contributes to the literature by linking digital transformation to HR prac- tices in the Industry 5.0 era and offers practical implications for managers in improving organizational readiness through digital HR innovation.
Blockchain Technology Integration for Enhancing Security and Reliability in Modern Information Systems Septyawati, Diana; Suroso, Suroso; Bhupathiraju, Sivakumarraju; Toh Hua, Chua; Fitriani, Anandha
International Transactions on Artificial Intelligence Vol. 4 No. 1 (2025): November
Publisher : Pandawan Sejahtera Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/italic.v4i1.895

Abstract

Blockchain has become a critical digital infrastructure for strengthening data integrity, transparency, and trust within intelligent information systems, particularly in environments that depend on continuous AI–IoT data exchange. Despite its potential, empirical evidence quantifying blockchain’s actual security benefits remains limited. This study employs a hybrid analytical design combining Smart Partial Least Squares (SmartPLS) modeling with expert-based qualitative triangulation. Five core constructs Resistance to Attack, Data Integrity, Transparency, System Security, and User Satisfaction and Trust were evaluated to capture both the technical and perceptual dimensions of blockchain-enabled security. The research aims to empirically determine how blockchain architecture enhances intelligent information security and to identify the structural relationships among its socio technical components. Quantitative findings reveal that blockchain improves data integrity by 23%, increases transaction transparency by 19%, and enhances user trust by 17% compared with centralized systems. The model demonstrates strong reliability (ρc > 0.85) and high explanatorypower (R2 > 0.70), confirming the robustness of the proposed framework. The study advances theoretical understanding by validating blockchain as a socio technical enabler of secure and trustworthy intelligent ecosystems. Practically, the findings highlight how decentralization promotes ethical, resilient, and transparent digital infrastructures capable of supporting next generation intelligentsystems.
Co-Authors Bhupathiraju, Sivakumarraju Dwi Andayani, Dwi Fitriani, Anandha Meria, Lista Septyawati, Diana Sunarjo, Richard Andre Suroso Suroso