May 2024
Intermediate to advanced
352 pages
8h 50m
English
Content preview from Metaheuristics for Machine Learning
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12Big Data Analytics for a Sustainable Competitive Edge: An Impact Assessment
Rajyalakshmi K.1*, Padma A.2, Varalakshmi M.3, Suhasini A.4 and Chiranjeevi P.5
1Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, India
2Chaitanya Bharathi Institute of Technology, Hyderabad, India
3Department of Humanities and Sciences, Vardhaman College of Engineering, Shamshabad, Hyderabad, India
4Sri Durga Malleswara Siddhartha Mahila Kalasala, Vijayawada, India 5Department of Mathematics and Humanities, R V R and J C College of Engineering, Chowdavaram, Guntur, India
Abstract
One of Industry 4.0’s key components is big data analytics (BDA), a cornerstone. It has developed into an effective instrument for boosting businesses’ competitive advantages by improving data-driven performance. While this is happening, the global resource problem is forcing corporations to take a commission based on sustainability seriously. According to the literature, BDA and innovation can increase a company’s productivity and provide a competitive advantage. According to this study, a sustainable competitive advantage (SCA) might be produced by combining big data analytics capabilities (BDACs) with elevated levels of data availability (DA). Research from the past and the dynamic capacity hypothesis support this claim. PLS-SEM, a statistical method that uses partial least squares to model structural equations, was utilized to analyze the results of this study’s ...
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