Big Data Sustainability This paper examines the current challenges in esg reporting, such as data collection and integration, data quality, regulatory compliance, transparency, and standardization. This paper concludes with a call to action for stakeholders to embrace these technologies, highlighting the transformative potential of big data analytics in creating more effective and accountable clean energy initiatives.
Using Big Data For Sustainability This study also contributes to the sustainability and sustainability accounting literature by presenting a sustainable business development framework that offers practical insights for organisations navigating the integration of sustainability reporting in highly uncertain environments. Based on the study findings, which confirm the pivotal role of big data analytics in enhancing the quality of sustainability reporting by improving data collection and analysis, expanding participation, and developing modeling and planning tools, we present a set of recommendations. How do information systems and big data analytics help to enable a sustainable future? this question is investigated in nine papers in this special issue that examine the issue of big data analytics for sustainability from a variety of perspectives. Big data reveals new, stark pictures of the state of our environments. it also reveals ‘bright spots’ amongst the broad pattern of decline and—crucially—the key conditions for these cases .
The Role Of Big Data In Environmental Sustainability How do information systems and big data analytics help to enable a sustainable future? this question is investigated in nine papers in this special issue that examine the issue of big data analytics for sustainability from a variety of perspectives. Big data reveals new, stark pictures of the state of our environments. it also reveals ‘bright spots’ amongst the broad pattern of decline and—crucially—the key conditions for these cases . This study investigates the use of bda in fostering sustainability, identifying key practices, outcomes, challenges, and opportunities. by focusing on organizational tensions and strategic outcomes, this research offers an original contribution to the field. By harnessing the full spectrum of big data characteristics, organizations can capture a dynamic and multidimensional portrait of esg performance—one that enables proactive compliance, stakeholder engagement, and risk mitigation across diverse sustainability domains [18]. Big data is completely transforming how we approach sustainability, offering tools to tackle environmental, social, and economic challenges. it enables better decision making in areas like conservation, energy use, farming, and city planning. Survey to identify which of the 169 sdg targets could use big data, as well as proposals of big data specific indicators related to the sdg, which may be different to the current set of.
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