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The Relationship Of Knowledge Management, Transformational Leadership And Innovative Work Behavior, Study Case Of A Baby Product Fmcg Company Anggi Stefani Ferdiana; Achmad Fajar Hendarman
Jurnal Ekonomi Teknologi dan Bisnis (JETBIS) Vol. 4 No. 7 (2025): Jurnal Ekonomi, Teknologi dan Bisnis
Publisher : Al-Makki Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57185/jetbis.v4i7.191

Abstract

Bridging Cultural and Linguistic Gaps with AI-Based Knowledge Management: A Solution for Language and Cultural Barriers at PT. STI Christian Susanto; Achmad Fajar Hendarman
Eduvest - Journal of Universal Studies Vol. 5 No. 9 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i9.51303

Abstract

In today’s globalized economy, multinational corporations like PT. STI face significant challenges in enabling seamless knowledge sharing across culturally and linguistically diverse teams. This study proposes an Artificial Intelligence-based Knowledge Management (KM) system to address language and cultural barriers causing operational inefficiencies such as project delays and reduced productivity at PT. STI. Using a mixed-methods approach, the research applies the Asian Productivity Organization (APO) KM Framework to evaluate the company’s KM maturity, the Analytical Hierarchy Process (AHP) to prioritize AI features, and the Technology Acceptance Model (TAM) to assess employee perceptions of the system's usefulness and ease of use. Quantitative data from APO KM and AHP surveys were complemented by qualitative insights from semi-structured interviews with key personnel. The APO KM assessment shows PT. STI at the "Expansion" KM maturity level with a score of 135.14, highlighting weaknesses in knowledge processes, technology, and outcomes. AHP analysis identifies Real-Time Translation (RT) as the top feature (44%), followed by Automated Tagging/Categorization (AT) and Contextual Q&A/Summarization (CQ). Employee interviews corroborate these findings, demonstrating strong willingness to adopt the system due to its potential to overcome cross-lingual communication barriers and improve knowledge accessibility. The proposed AI-based KM system provides PT. STI with a framework to reduce language barriers, minimize knowledge silos, and boost operational efficiency. It is expected to shorten project timelines, lower costs, and increase client satisfaction, offering valuable insights for multinational corporations facing similar challenges.
The Relationship Among Perceived Transformational Leadership, Work Motivation, and Individual Performance: A Study at PT Jakarta Railway Annisa Arnindita; Achmad Fajar Hendarman
Eduvest - Journal of Universal Studies Vol. 6 No. 2 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i2.52431

Abstract

This study investigates the relationship among transformational leadership, work motivation, and individual performance at PT Jakarta Railway, a government-owned urban transport operator undergoing organisational change. As demands for reliable and sustainable public transport services increase, leadership and employee motivation become essential drivers of performance. However, studies examining these relationships in Indonesian public transport organisations remain limited. This research aims to address the gap by analysing how employees' perceptions of transformational leadership and their work motivation influence performance across three directorates. Using a quantitative design, data were collected through structured questionnaires, generating 235 valid responses. Transformational leadership was measured using the Multifactor Leadership Questionnaire (MLQ), work motivation with the Work Extrinsic and Intrinsic Motivation Scale (WEIMS), and performance using a 23-item instrument. Statistical assumptions were met, and simple and multiple linear regression analyses were conducted using SPSS. The findings show that transformational leadership has a strong and significant positive effect on individual performance. Employees who perceive their leaders as inspiring, supportive, and clear in direction tend to show better performance. Work motivation also positively affects performance, although its influence becomes weaker when leadership is included in the model, indicating that leadership is the stronger predictor. When tested together, transformational leadership and motivation significantly predict performance, explaining 12% of the variance. Demographic factors did not substantially affect the model. Overall, the study highlights the central role of transformational leadership in enhancing employee performance at PT Jakarta Railway and provides practical implications for leadership development and performance management within public transport organisations.