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Enhancing Productivity and Retention in Indonesia’s Gig Economy: The Role of Work-Life Balance, Job Satisfaction, Work Engagement, and Technological Support Nurnaningsih; Safrida; Isiswanty; Rohman, Azura Zeyna
Jurnal Aplikasi Manajemen Vol. 23 No. 2 (2025)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jam.2025.023.2.13

Abstract

The growth of Indonesia’s gig economy has reshaped labor structures, raising urgent questions about how to sustain gig workers’ well-being and productivity. This study examines the impact of trust in the platform, platform fairness, and social support on work-life balance and how work-life balance in turn influences job satisfaction, work engagement, productivity, and employee retention. It also examines the mediating roles of satisfaction and engagement, as well as the moderating effects of technological support and gig work characteristics. Using a quantitative approach, data were collected from 400 gig workers across various platforms, including Gojek, Grab, Shopee, and Freelancer.com, via stratified sampling. A pilot study with 50 workers refined the instrument. Structural equation modeling with SmartPLS 4.0 was employed for analysis, which included confirmatory factor analysis and assessments of reliability, validity, and common method bias. The results show that all three antecedents have a significant impact on work-life balance, which, in turn, improves job satisfaction, engagement, productivity, and retention. Mediators and moderators strengthen these relationships. This study extends the Job Demands-Resources model into the gig economy and offers practical guidance for platform companies to design more supportive and sustainable work environments.
Membangun Taxonomy Riset Big Data Analytics dan Business Intelligence: Systematic Literature Review dalam Konteks Manajemen Informatika Tribuana, Dhimas; Dewi Haryanti Agustan, Andi; Hidayat; Halimah, Endang; Dianah, Koas; Isiswanty
Jurnal Teknologi dan Bisnis Cerdas Vol 1 No 2 (2025): Volume 1 Nomor 2 (September 2025)
Publisher : Plexi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64476/jtbc.v1i2.12

Abstract

Digital transformation has propelled the role of Business Intelligence (BI) from a mere reporting system to a strategic data-driven platform. This study aims to map the state of the art of BI through a Systematic Literature Review (SLR) guided by the PRISMA 2020 framework. A total of 50 scholarly articles published between 2010 and 2025 were systematically analyzed, sourced from both open-access databases and standard repositories (Scopus, Web of Science, Google Scholar, Semantic Scholar, and DOAJ). The analysis produced a taxonomy dividing the literature into five main domains: BI Foundations, Big Data Analytics, Data Governance & Quality, Real-Time & Stream Processing, and BI-AI Integration. The findings indicate that BI research evolves progressively, beginning with conceptual foundations, expanding toward advanced analytic capabilities, reinforcing data governance, accelerating real-time processing, and culminating in integration with Artificial Intelligence (AI) and Generative AI (GenAI). The study offers theoretical implications by providing a comprehensive conceptual framework for BI research, practical implications by guiding organizations in adopting BI-AI technologies effectively, and policy implications by emphasizing the need for adaptive regulation in data governance and AI ethics. Limitations include the restricted publication period and reliance on academic literature. Future research is recommended to incorporate grey literature and empirical case studies to enhance practical relevance.