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The Impact of Transformational Leadership and Big Data Analytics Capability on Firm Performance in FMCG Industry Sahwa Putri Utami; Aburizal Maharsyah; Berto Mulia Wibawa; Syarifa Hanoum; Thedosia Yunita Durman
Journal of Social Research Vol. 5 No. 1 (2025): Journal of Social Research
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/josr.v5i1.2934

Abstract

This study investigates the impact of transformational leadership (TL) and big data analytics capability (BDAC) on firm performance (FP) in the fast moving consumer goods (FMCG) industry in Indonesia. The research emphasizes the role of BDAC as both a direct determinant of FP and a mediator in the relationship between TL and FP. Data were collected from 118 employees of Paragon Corp using a purposive sampling technique, targeting respondents directly involved in decision making and digital transformation initiatives. Partial Least Squares–Structural Equation Modeling (PLS-SEM) was applied to analyze the data. The results reveal that TL significantly and positively influences FP, both directly and indirectly through BDAC. In addition, BDAC has a significant effect on FP and partially mediates the effect of TL on FP. These findings strengthen the Resource-Based View (RBV) by positioning leadership as a human capital resource and BDAC as a technological capability that together enhance firm competitiveness. Practically, the study provides valuable insights for companies in emerging markets to align leadership and digital analytics in order to achieve sustainable performance.
Implementation of Data Envelopment Analysis (DEA) on Measuring the Efficiency of Gas Station Services Sindhu Priyo Windoko; Dahniar Nur Amalina; Atika Sanjani Ramadina; Syarifa Hanoum
Interdiciplinary Journal and Hummanity (INJURITY) Vol. 3 No. 1 (2024): INJURITY: Journal of Interdisciplinary Studies.
Publisher : Pusat Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58631/injurity.v3i1.159

Abstract

Along with the increasing number of transportation vehicles in Indonesia, the growth of the gas station business is also increasing from year to year. This requires companies in the oil and gas industry to improve their performance, and gas stations must have the right strategy to improve efficiency. Measurement of efficiency and productivity is one of the first steps that must be taken by a gas station operation to improve performance. This research analyzes the performance differences in each gas station with the Data Envelopment Analysis (DEA) approach, where DEA is a linear programming model based on measuring the relative efficiency of a unit using many inputs and many outputs. This study aims to identify input and output factors that affect the efficiency level of gas stations, determine the work efficiency of each gas station in carrying out the service process to consumers, and determine the improvement planning strategy for inefficient gas stations