Gelar Abifadilla
Universitas Langlangbuana

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AI Automation and Labor Dynamics in Indonesian Palm Oil: Job Displacement and Skill Upgrading Galih Ariprayugo; Gelar Abifadilla; Euis Eka Pramiarsih
Jurnal Akuntansi Keuangan dan Bisnis Vol 19 No 1 (2026): Jurnal Akuntansi Keuangan dan Bisnis
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jakb.v19i1.6934

Abstract

Main Purpose - This study explores artificial intelligence (AI) automation's dual impact on Indonesian palm oil labor dynamics, emphasizing the job displacement and skill upgrading interplay. Method - This study used a Systematic Literature Review (SLR) with PRISMA 2020 guidelines to analyze 25 peer-reviewed articles from Scopus and Web of Science, supported by grey literature from sources such as the WEF and ILO. The articles were selected, screened, and analyzed systematically using thematic synthesis. Main Findings - AI-driven harvest automation may reduce the need for low-skilled manual workers, but it will increase demand for workers with technical skills and green ESG competencies. At the same time, AI can help plantations overcome labor shortages by supporting a shrinking plantation workforce. However, its adoption requires inclusive EaaS models for smallholders, better infrastructure, strong data governance, and gender-inclusive workforce policies. Theory and Practical Implications - This study combines the Technology-Organization-Environment (TOE) framework and Skill-Biased Technological Change (SBTC) theory to explain how technology affects skills and work in agribusiness. In practice, the Pentahelix matrix offers strategies for government, universities, industry, communities, and media to reduce unemployment risks, protect data privacy, and support an inclusive workforce transition. Novelty - This research contributes to contextualizing global agricultural automation discourse within the Indonesian palm oil sector, positioning AI as a vital catalyst for workforce evolution amidst pronounced demographic and structural challenges.
LEADERSHIP EFFECTIVENESS IN HYBRID AND VIRTUAL WORK ENVIRONMENTS: A SYSTEMATIC REVIEW Galih Ariprayugo; Euis Eka Pramiarsih; Gelar Abifadilla
BEMJ: Business, Entrepreneurship, and Management Journal Vol. 5 No. 1 (2026)
Publisher : Universitas Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36563/w5z1jn91

Abstract

The permanent normalization of hybrid and remote work following the COVID-19 pandemic has fundamentally transformed organizational leadership practice. This systematic literature review (SLR), conducted following PRISMA 2020 guidelines (Page et al., 2021), synthesizes 30 peer-reviewed articles published between 2020 and 2026 to examine leadership effectiveness in hybrid and virtual work environments. Three research questions guide the review: (1) how distributed, shared, and adaptive leadership models influence team cohesion and organizational commitment; (2) what digital communication practices and HR mechanisms sustain psychological safety and engagement in non-colocated teams; and (3) how leader emotional expressivity and relational practices shape employee well-being and performance in digitally mediated contexts. An original Integrative Input–Mediator–Output–Input (IMOI) Conceptual Framework is proposed, grounded in Ilgen et al. (2005). Findings demonstrate that adaptive, transformational, and shared leadership outperform hierarchical models; communication cadence and psychological safety sustain cultural cohesion at distance; and leader emotional expressivity is a measurable lever of team performance in video-mediated environments.