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Big Data Capability, Technical Knowledge Search, and Green Technology Innovation: A Mixed Methods Study

Introduction

In today’s rapidly evolving digital landscape, organizations are increasingly leveraging big data capabilities to enhance innovation and sustainability. Green technology innovation has become a critical focus as industries aim to reduce environmental impact while maintaining competitiveness. This study explores the relationship between big data capability, technical knowledge search, and green technology innovation using a mixed methods approach.

Understanding Big Data Capability

Big data capability refers to an organization’s ability to collect, process, and analyze large volumes of structured and unstructured data. With advanced analytics, companies can uncover patterns, predict trends, and make informed decisions that support innovation and sustainability initiatives.

Role of Technical Knowledge Search

Technical knowledge search involves identifying, acquiring, and utilizing relevant technological information from internal and external sources. It enables organizations to stay updated with emerging trends, adopt best practices, and integrate innovative solutions into their operations.

Green Technology Innovation

Green technology innovation focuses on developing products, processes, and systems that minimize environmental harm. This includes energy-efficient technologies, waste reduction methods, and sustainable resource management practices.

Interconnection Between the Concepts

Big data capability enhances technical knowledge search by providing data-driven insights and access to vast information sources. In turn, effective knowledge search supports the development of green technologies by enabling organizations to identify innovative and sustainable solutions.

Mixed Methods Approach

This study adopts a mixed methods approach, combining quantitative data analysis with qualitative insights. This approach provides a comprehensive understanding of how big data and knowledge search influence green innovation outcomes.

Key Findings

Organizations with strong big data capabilities are more likely to engage in effective knowledge search.
Technical knowledge search significantly contributes to green technology innovation.
The integration of data analytics and knowledge exploration leads to improved sustainability performance.

Conclusion

The study highlights the importance of integrating big data capabilities with technical knowledge search to drive green technology innovation. Organizations that embrace data-driven strategies and continuous learning are better positioned to achieve sustainable growth and competitive advantage.

Phosphorus-rich Grains In Ryugu Samples With Major Biochemical Potential

Parent bodies of C-type asteroids may have brought key volatile and organic-rich compounds to the terrestrial planets in the early stages of the Solar System . At the end of 2020, the JAXA Hayabusa2 mission successfully returned samples from Ryugu, providing access to a primitive matter that has not suffered terrestrial alteration. Here we report the discovery of a peculiar class of grains, up to a few hundreds of micrometres in size, that have a hydrated ammonium–magnesium–phosphorus (HAMP)-rich composition. Their specific chemical and physical properties point towards an origin in the outer Solar System , beyond most snow lines, and their preservation along Ryugu history. These phosphorus-rich grains, embedded within an organic-rich phyllosilicate matrix, may have played a major role when immersed in primitive terrestrial water reservoirs. In particular, in contrast to poorly soluble calcium-rich phosphates, HAMP grains favour the release of phosphorus-rich and nitrogen-rich ionic s...

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