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Paper Type
Complete
Abstract
This systematic literature review explores how Big Data Analytics (BDA) adoption impacts operational efficiency and innovation capacity within the technology sector. Employing PRISMA and related guidelines, the study finds BDA offers significant potential to enhance operational efficiency, competitiveness, and decision-making, leading to improved business performance. However, maximizing these benefits necessitates a strategic approach that acknowledges industry specifics, technological infrastructure, competitive dynamics, and organizational capabilities. To leverage the full potential of BDA and gain a competitive edge in today's data-driven business landscape, organizations must adopt a contextualized approach that accounts for their specific industry characteristics, technological infrastructure, competitive dynamics, and organizational capabilities. Additionally, addressing the long-term sustainability and ethical implications of BDA initiatives is critical. Future research should further investigate the specific mechanisms of BDA's influence and explore its long-term implications.
Paper Number
1443
Recommended Citation
Ataei, Pouya; Regula, Sri; Haertel, Christian; and Staegemann, Daniel, "Impact of Big Data Analytics on Business Performance: A systematic Literature Review" (2024). AMCIS 2024 Proceedings. 3.
https://aisel.aisnet.org/amcis2024/stratcompis/stratcompis/3
Impact of Big Data Analytics on Business Performance: A systematic Literature Review
This systematic literature review explores how Big Data Analytics (BDA) adoption impacts operational efficiency and innovation capacity within the technology sector. Employing PRISMA and related guidelines, the study finds BDA offers significant potential to enhance operational efficiency, competitiveness, and decision-making, leading to improved business performance. However, maximizing these benefits necessitates a strategic approach that acknowledges industry specifics, technological infrastructure, competitive dynamics, and organizational capabilities. To leverage the full potential of BDA and gain a competitive edge in today's data-driven business landscape, organizations must adopt a contextualized approach that accounts for their specific industry characteristics, technological infrastructure, competitive dynamics, and organizational capabilities. Additionally, addressing the long-term sustainability and ethical implications of BDA initiatives is critical. Future research should further investigate the specific mechanisms of BDA's influence and explore its long-term implications.
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