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Integrating Tacit Knowledge into Employee Profiles to Improve Talent Review Accuracy: A Case Study of Oil and Gas Industry Hari Prasetyo Tri Wicaksono; Achmad Nizar Hidayanto; Geri Yesa Ermawan
Eduvest - Journal of Universal Studies Vol. 6 No. 5 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i5.52684

Abstract

The success of an organization in managing human resources is significantly influenced by the accuracy of its talent review processes, including promotions, rotations, and employee placements. However, these processes often rely solely on explicit data, such as job history and administrative evaluations, which do not fully capture contextual competencies. Tacit knowledge—encompassing field experience, intuition, and problem-solving abilities—plays a crucial role in work effectiveness yet remains largely undocumented in a systematic manner. This study aims to design a system that integrates tacit knowledge into employee profiles using the STAR (Situation, Task, Action, Result) narrative framework to support decision-making in talent reviews. The research adopts a Design Science Research Methodology (DSRM) approach, comprising problem identification, system design, prototype development, and evaluation. A case study was conducted within an operational unit of the oil and gas industry, with data collected through interviews and observations. The findings indicate that integrating STAR narratives into employee profiles enriches the available decision-making data and enhances the precision of talent placement and development. This study provides practical contributions for organizations seeking to build more contextual and knowledge-based human resource management systems, offering a structured approach to capturing tacit knowledge and improving strategic HR decisions.
Implementation of Agile Project Management for Digitalization in the Oil & Gas Industry: A Case Study of Gas Stations in Indonesian Company Hari Prasetyo Tri Wicaksono; Geri Yesa Ermawan
Eduvest - Journal of Universal Studies Vol. 6 No. 1 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i1.52531

Abstract

Agile project management has been extensively utilized in software development, but its application in IoT installation and integration projects remains relatively uncommon. This study aims to enhance the implementation of agile project management practices within the context of gas station digitalization, which faced a target completion shift three months early. This acceleration was driven by business-critical factors, including compliance with government regulations, subsidy reimbursements, and operational efficiency improvements. Using a case study and the Design Science Research Methodology (DSRM), the research focuses on an oil and gas company undertaking gas station digitalization to comply with regulatory requirements. The project was managed using agile principles and the Scrumban framework. By adopting agile project management and Scrumban, the company achieved faster deployment cycles, improved real-time data accuracy and coverage, and enhanced coordination between stakeholders, leading to 50% faster integration time per station. As a contribution, the study introduces a project management model tailored for agile adoption and an application of Scrumban to large-scale IoT-based infrastructure projects, particularly in a highly regulated industry such as energy distribution. Unlike previous studies focusing on agile methods in software development, this research extends the methodology to a multi-site, hardware-integrated digital transformation, addressing both technical and operational challenges in real time to facilitate the effective execution of digital transformation initiatives within the oil and gas industry.