Publication: Determinants Of Big Data Analytics Usage And Its Impact On Performance In Chinese Manufacturing Companies
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Date
2025-01
Authors
Shi, Yubo
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Abstract
Manufacturing is the foundation of a country and the basis of a strong country, and it is the lifeline of the national economy. Big data analytics (bda) is increasingly viewed in the manufacturing industry as strategic resources that are comparable in value, such as land, gold, and oil. However, most of the existing research has focused on bda adoption intentions, while a lack of research has focused on postadoption behaviors, that is, bda usage (bdau). This study formulated a comprehensive theoretical framework based on the technologicalorganizational- environment framework, the resource-based view, and dynamic capabilities theory. Seven questions were proposed to achieve seven objectives: investigating the antecedents and outcomes of bdau in chinese manufacturing companies and evaluating the moderating effects of the environmental dynamic and absorptive capacity between bdau and operational and financial performance. This study is quantitative and uses cross-sectional survey and purposive sampling techniques to collect data from 255 companies online to test the proposed hypotheses. The data were analysed via smartpls 4, and the construct reliability, validity, and convergent and discriminant validity of all the constructs met the statistical threshold requirements.