| Summary: | 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.
|
|---|
