Triple bottom line accounting for optimizing natural gas sustainability: A statistical linear programming fuzzy ILOWA optimized sustainment model approach to reducing supply chain global cybersecurity vulnerability through information and communications technology

详细信息    查看全文

• 作者：James Allen Rodger^a ; ^{jrodger@iup.edu} ; James A. George^b ; ¹ ; ^{jagpr.net@gmail.com}
• 关键词：Triple bottom line ; Sustainability ; Supply chain management ; Information and communications technology ; Risk ; Security
• 刊名：Journal of Cleaner Production
• 出版年：2017
• 出版时间：20 January 2017
• 年：2017
• 卷：142
• 期：part_P4
• 页码：1931-1949
• 全文大小：2845 K
• 卷排序：142

文摘

In this paper, we employed triple bottom line (TBL) accounting and considered threats to cybersecurity in the context of natural gas and global supply chain sustainability. The global supply chain is a diverse assortment of contingent claims contracts and relationships that span the world. It contains both risks and benefits. In this study, consideration is given to the balance of consequences. We propose a sustainable economic model that preserves the positive dynamics of capitalism and accounting principles while improving collaboration between industry, landowners, and environmentalists to optimize return on profits for companies, provide royalties to landowners, and satisfy the planet's environmental concerns. Our TBL approach supports the need to preserve the best qualities of free enterprise and market-driven regulation profits while also providing social and environmental benefits. Our proposed approach is novel and may be helpful for decision makers in all sectors, from public to private. We have endeavored to make sufficiently objective and appropriate conclusions that guide how the model can be used in other sectors or by other decision makers. This review has several aims. First, we aim to understand the technical application of TBL optimization and to associate it with the use of mathematical and statistical analysis. Second, we present a fuzzy integrated linguistic operator weighted average application to better understand TBL and to strengthen the argument for its use. Finally, we debate issues inherent in applying analyses of this type with regard to stakeholder viewpoints and objectivity.