Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-Making
The expansion of the palm oil industry affects environmental sustainability. This study aims to assess palm oil's environmental grievances reported pre- and post-Covid-19. A hybrid of data-driven and multicriteria decision-making analyses was used to analyze unstructured data from nine compani...
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| Format: | Article |
| Language: | English |
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Bogor Agricultural University
2025-01-01
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| Series: | Jurnal Manajemen Hutan Tropika |
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| Online Access: | https://journal.ipb.ac.id/index.php/jmht/article/view/58708 |
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| author | Muhammad Syahmi Idris Muhamad Shahrul Md Nor Syazwani Ali Norazman Mat Ali Siew Wai Yoong Mohd Nazli Mohd Nor Mohd Suffian Mohd Muhili Muhamad Fairus Noor Hassim |
| author_facet | Muhammad Syahmi Idris Muhamad Shahrul Md Nor Syazwani Ali Norazman Mat Ali Siew Wai Yoong Mohd Nazli Mohd Nor Mohd Suffian Mohd Muhili Muhamad Fairus Noor Hassim |
| author_sort | Muhammad Syahmi Idris |
| collection | DOAJ |
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The expansion of the palm oil industry affects environmental sustainability. This study aims to assess palm oil's environmental grievances reported pre- and post-Covid-19. A hybrid of data-driven and multicriteria decision-making analyses was used to analyze unstructured data from nine companies' grievance logs. A total of 884 cases with the trend peaking in 2019. Predominantly deforestation, a total of 564 cases affecting ~66,716.23 ha in Indonesia, 312 cases affecting ~49,704.97 ha in Malaysia, 6 cases affecting ~43,500 ha in Papua New Guinea, and 2 cases in the Philippines. Network analysis reveals that the environmental grievances affected multiple companies, with WILMAR suppliers at the center. On average, companies take ~100 days to resolve. Clustering analysis shows Sime Darby Oil, WILMAR, KLK, and Mewah Group have influences on addressing grievances in high-risk provinces. Quantile-quadrant analysis reveals that provinces in Kalimantan, Pahang, and Sarawak are in the high-risk quadrant and therefore require immediate mitigation plans. This finding points toward the need for the formation of a private consortium among identified key players and local government in the high-risk region as a new strategy to improve management of environmental sustainability issues that predominantly involve deforestation.
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| format | Article |
| id | doaj-art-3b23d8ea73be48b5b9e515cc2894ce05 |
| institution | Kabale University |
| issn | 2087-0469 2089-2063 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Bogor Agricultural University |
| record_format | Article |
| series | Jurnal Manajemen Hutan Tropika |
| spelling | doaj-art-3b23d8ea73be48b5b9e515cc2894ce052025-02-01T17:47:35ZengBogor Agricultural UniversityJurnal Manajemen Hutan Tropika2087-04692089-20632025-01-0131110.7226/jtfm.31.1.72Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-MakingMuhammad Syahmi Idris0Muhamad Shahrul Md Nor1Syazwani Ali2Norazman Mat Ali3Siew Wai Yoong4Mohd Nazli Mohd Nor5Mohd Suffian Mohd Muhili6Muhamad Fairus Noor Hassim7Special Interest Group Modelling and Data Analytic (SIGMDA), Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia 21030Special Interest Group Modelling and Data Analytic (SIGMDA), Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia 21030Special Interest Group Modelling and Data Analytic (SIGMDA), Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia 21030Agriculture and E-commerce Solution Division, MIMOS Berhad, Technology Park Malaysia, Kuala Lumpur, Malaysia 57000Agriculture and E-commerce Solution Division, MIMOS Berhad, Technology Park Malaysia, Kuala Lumpur, Malaysia 57000Faculty of Business, Economics and Social Development, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia 21030Global Sustainability, Government Relations & Public Policy Procter & Gamble (M) Sdn Bhd, 10th Floor, Surian Tower, 1, Jalan PJU 7/3, Mutiara Damansara, Petaling Jaya, Selangor, Malaysia 47810Special Interest Group Modelling and Data Analytic (SIGMDA), Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu, Malaysia 21030 The expansion of the palm oil industry affects environmental sustainability. This study aims to assess palm oil's environmental grievances reported pre- and post-Covid-19. A hybrid of data-driven and multicriteria decision-making analyses was used to analyze unstructured data from nine companies' grievance logs. A total of 884 cases with the trend peaking in 2019. Predominantly deforestation, a total of 564 cases affecting ~66,716.23 ha in Indonesia, 312 cases affecting ~49,704.97 ha in Malaysia, 6 cases affecting ~43,500 ha in Papua New Guinea, and 2 cases in the Philippines. Network analysis reveals that the environmental grievances affected multiple companies, with WILMAR suppliers at the center. On average, companies take ~100 days to resolve. Clustering analysis shows Sime Darby Oil, WILMAR, KLK, and Mewah Group have influences on addressing grievances in high-risk provinces. Quantile-quadrant analysis reveals that provinces in Kalimantan, Pahang, and Sarawak are in the high-risk quadrant and therefore require immediate mitigation plans. This finding points toward the need for the formation of a private consortium among identified key players and local government in the high-risk region as a new strategy to improve management of environmental sustainability issues that predominantly involve deforestation. https://journal.ipb.ac.id/index.php/jmht/article/view/58708big data-driven risk analysisdeforestationenvironmental sustainabilitygrievance reportspalm oil industry |
| spellingShingle | Muhammad Syahmi Idris Muhamad Shahrul Md Nor Syazwani Ali Norazman Mat Ali Siew Wai Yoong Mohd Nazli Mohd Nor Mohd Suffian Mohd Muhili Muhamad Fairus Noor Hassim Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-Making Jurnal Manajemen Hutan Tropika big data-driven risk analysis deforestation environmental sustainability grievance reports palm oil industry |
| title | Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-Making |
| title_full | Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-Making |
| title_fullStr | Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-Making |
| title_full_unstemmed | Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-Making |
| title_short | Big Data-Driven Risk Analysis of Environmental Grievances in the Palm Oil Industry for Sustainable Decision-Making |
| title_sort | big data driven risk analysis of environmental grievances in the palm oil industry for sustainable decision making |
| topic | big data-driven risk analysis deforestation environmental sustainability grievance reports palm oil industry |
| url | https://journal.ipb.ac.id/index.php/jmht/article/view/58708 |
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