The Effect of Big Data Analytics on Business Environmental Decision-Making in Nigeria
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
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- Recommended for :
- NGN 5000
Background of the Study
Big data analytics involves the use of advanced computational tools to process and analyze large volumes of data to uncover insights and patterns that can inform decision-making. In the context of environmental decision-making, big data analytics can provide businesses with the information needed to make more sustainable and environmentally responsible choices. In Nigeria, industries such as agriculture, manufacturing, and oil and gas generate large amounts of data that, if analyzed properly, could improve environmental management practices and reduce negative ecological impacts (Ogundipe & Afolabi, 2023).
By using big data to monitor resource usage, track waste production, and assess the environmental impact of operations, businesses can make more informed decisions that align with sustainability goals. This study will explore how Nigerian businesses use big data analytics to enhance their environmental decision-making processes, identify the challenges they face, and evaluate the outcomes of using data-driven approaches to environmental sustainability.
Statement of the Problem
Many Nigerian businesses, particularly in industries with high environmental footprints, have not fully utilized big data analytics for environmental decision-making. As a result, businesses continue to rely on traditional methods of environmental management, which may not be as effective or efficient in addressing current environmental challenges. While the adoption of big data analytics has the potential to improve business decisions regarding sustainability, its application remains underutilized in Nigeria. This study aims to evaluate the effects of big data analytics on environmental decision-making and its potential to promote sustainable business practices.
Objectives of the Study
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To evaluate the role of big data analytics in improving environmental decision-making in Nigerian businesses.
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To assess the impact of big data on sustainability practices in Nigeria’s business sector.
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To identify the challenges and opportunities associated with the use of big data analytics for environmental decision-making in Nigerian businesses.
Research Questions
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How does big data analytics influence environmental decision-making in Nigerian businesses?
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What impact does big data have on the sustainability practices of Nigerian businesses?
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What challenges and opportunities exist in applying big data analytics for environmental decision-making in Nigerian businesses?
Research Hypotheses
Ho1: Big data analytics does not significantly influence environmental decision-making in Nigerian businesses.
Ho2: Big data analytics does not significantly impact the sustainability practices of Nigerian businesses.
Ho3: There are no significant challenges or opportunities in applying big data analytics for environmental decision-making in Nigerian businesses.
Scope and Limitations of the Study
This study will focus on Nigerian businesses across various sectors that have implemented big data analytics to improve their environmental decision-making processes. The study will also assess the effectiveness of big data in driving sustainable practices. Limitations may include access to proprietary data and the varied levels of big data implementation across industries.
Definitions of Terms
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Big Data Analytics: The use of advanced analytics techniques to analyze large datasets in order to uncover patterns, trends, and insights that inform decision-making.
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Environmental Decision-Making: The process by which businesses make decisions that affect the environment, such as resource usage, waste management, and emission control.
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Sustainability Practices: Actions and strategies employed by businesses to reduce their environmental impact and promote long-term ecological and social well-being.
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