1 Park University,
2 George Washington University,
3 George Washington University,
4 Arizona State University,
5 Brandeis University,
6 University of Texas at Dallas,
7 Hult International Business School,
World Journal of Advanced Research and Reviews, 2026, 30(02), 353-361
Article DOI: 10.30574/wjarr.2026.30.2.1196
Received on 26 March 2026; revised on 02 May 2026; accepted on 05 May 2026
This research article discusses how a Governance, Risk, and Compliance (GRC) solution to more effective timber-supply chain traceability, data governance, and climate-compliance can be created. The framework assists timber manufacturers in reducing the effects of greenhouse gas (GHG) emissions and gaining sustainability indicators across different phases of the timber supply chain, in line with the global climate objectives. The article suggests a systematic method of enhancing the level of emission reporting, risk management, and audit-readiness in the context that the business can adjust to new regulations and makes ready to face green-finance auditing. The framework underlines the significance of active risk management by data-based insight and mitigation measures of emissions in terms of actionable responses. It also emphasizes how SOPs and maturity models can facilitate the existence of sustainable practices. These are the future directions which state that more sophisticated data analytics and machine learning can be implemented to achieve more accurate emissions tracking and that the timber industry can be decarbonized further to move in a more sustainable future.
Audit-Ready; Climate-Centric; Data; Governance; GRC; Decarbonized
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Emmanuel Hagan, Laurence Akakpo, Tadiwa Lennon Kasuwa, Tariro Lyan Nhemachena, Takudzwa Taanisa, Eric Wononuo Osman, Trish Tsveta and Munashe Naphtali Mupa. Climate-centric data governance for timber traceability: A GRC framework for decarbonized and audit-ready supply chains. World Journal of Advanced Research and Reviews, 2026, 30(02), 353-361. Article DOI: https://doi.org/10.30574/wjarr.2026.30.2.1196.