Publication: Integration Utilisation Performance Management System: Study
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Date
2025-02
Authors
Karina, Ria Karina
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Abstract
This study aimed to explore the integration and utilisation of big data into the performance management system (pms). A qualitative case study approach was employed, utilising a constructivist grounded theory approach for data analysis, complemented by socio-technical system (sts) theory to guide the co-construction of the resulting theoretical framework. A case study was conducted at a transportation company in indonesia, with data collected through in-depth interviews and document reviews. The study focused on global positioning system (gps) data as the primary form of big data analysed. The findings revealed that integrating gps-derived big data into pms enhances operational efficiency, control, and decision-making processes. Key drivers of gps data adoption and usage included regulatory compliance, stakeholder expectations and demands, financial and economic constraints, and the need to mitigate business risks. The integration process spans technical, organisational, and cognitive dimensions, involving six key elements of sts theory: goals, people, technology, infrastructure, processes, and culture. Additionally, collaboration emerged as a new element in the developed theoretical framework. This integration enables the alignment of big data capabilities with organisational performance objectives while enhancing data-driven culture within the organisation.
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Business intelligence