Analyzing the Long-Term Impact of U.S. Federal Sustainability Programs Using Business Intelligence
DOI:
https://doi.org/10.54536/ajebi.v3i1.5690Keywords:
Business Intelligence, Federal Sustainability Programs, Reduction of Emissions, Statistical Analysis, Success of The ProgramsAbstract
The research is important to fill a critical gap and the potential contribution of business intelligence (BI) tools to improve program impacts. Although there are available studies that have discussed the presence of short-term outcomes, little has been said about the long-term effects of such initiatives, particularly using data-driven tools. Observing long run environmental, economic and social impacts of federal sustainability programs is also very important in enhancing future decision making and optimal allocation of resources. The main task of this study was to evaluate the charge of federal sustainability programs on the lowered emissions, decreased money savings, and energy efficiency as well as address the role of BI tools. The longitudinal approach adopted in the study utilized data covering more than 50 federal sustainability programs in the 5-12 year data span. To assess the role of program characteristics in the relationship with its outcomes, the statistical methods based on Pearson correlation, multiple regression, T-tests, ANOVA, and Chi-Square tests were used. Important findings were the programs that involved the use of BI tools had continued evidence that they have greater emission reductions (500,000 vs. 300,000 tons CO2 ) and cost savings (USD 5.5 million vs. USD 3 million). Program duration was also positively correlated with emissions reduction, and longer programs (approximations of 10 and 12 years) had larger reductions. The Chi-Square test also showed that BI tools usage is strongly associated with program success since programs utilizing BI tools have an increased chance of having more than $5 million in cost savings (p = 0.015). This study not only demonstrated the use of BI in sustainability initiatives but also had important implications for streamlining future federal sustainability programs.
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Copyright (c) 2024 Morium Akter, Ismot Zerine, Md Mainul Islam, Md Rakibul Haque Pranto, Tauhedur Rahman
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