en روش های تحلیل و تصمیم گیری Decision Analysis and Methods مروری Review <div style="text-align: justify;"><span style="font-size:11pt"><span style="line-height:107%"><span style="font-family:Calibri,sans-serif"><i><span style="font-size:12.0pt"><span style="line-height:107%">The </span></span></i><i><span style="font-size:12.0pt"><span style="line-height:107%">palm oil industry faces mounting pressure from tightening sustainability regulations, price volatility, and persistent productivity gaps between large estates and smallholders, repositioning data-driven decision-making as a strategic imperative. Although business analytics has been increasingly examined in adjacent agro-industrial domains, a dedicated synthesis for the palm oil sector remains absent. This study addresses that gap through a PRISMA-guided systematic literature review of peer-reviewed publications retrieved from the Scopus database. The review maps business analytics implementation across three dimensions: the type of analytics applied, the enabling technological components, and the value-chain stage at which analytics is deployed. Findings reveal that descriptive analytics dominates the literature, concentrated at the plantation level, while predictive and prescriptive analytics remain comparatively underdeveloped. Recurring constraints include data quality limitations, infrastructural deficits, and uneven adoption between large estates and smallholders. Six future research directions are derived from observed gaps, spanning precision management, remote sensing integration, decision support systems, predictive modelling under climate uncertainty, blockchain-based traceability, and socio-economic impact assessment. This study contributes a sector-specific evidence base for researchers, practitioners, and policymakers advancing analytics-driven approaches in the palm oil industry.</span></span></i></span></span></span></div> Business Analytics,Literature Review,Palm Oil Industry,Technology 0 0 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-3409-2&slc_lang=en&sid=1 Ardimansyah Ardimansyah ardiardimansyah@apps.ipb.ac.id 1800319475328460015211 1800319475328460015211 No School of Business, IPB University, Bogor, Indonesia Arif Imam Suroso arifimamsuroso@apps.ipb.ac.id 1800319475328460015212 1800319475328460015212 Yes School of Business, IPB University, Bogor, Indonesia Ujang Sumarwan sumarwan@apps.ipb.ac.id 1800319475328460015213 1800319475328460015213 No School of Business, IPB University, Bogor, Indonesia Nur Hasanah nur.hasanah@apps.ipb.ac.id 1800319475328460015214 1800319475328460015214 No School of Business, IPB University, Bogor, Indonesia Zenal Asikin zasikin@apps.ipb.ac.id 1800319475328460015215 1800319475328460015215 No School of Business, IPB University, Bogor, Indonesia Indra Wahyudi indrawahyudi@apps.ipb.ac.id 1800319475328460015216 1800319475328460015216 No School of Business, IPB University, Bogor, Indonesia