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Enhancing organizational sustainable innovation performance through organizational readiness for big data analytics

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Publicado en:Humanities & Social Sciences Communications vol. 11, no. 1 (Dec 2024), p. 950
Autor principal: Arshad, Muhammad
Otros Autores: Qadir, Aneela, Ahmad, Waqar, Rafique, Muhammad
Publicado:
Springer Nature B.V.
Materias:
Innovations
Emerging markets
Big Data
Corporate culture
Data analysis
Information processing
Economic development
Technological change
Collaboration
Information literacy
Decision making
Sustainability
Organizational change
Developing countries > LDCs
Errors
Organizational research
Structural equation modeling
Deployment
Customers
Organizational effectiveness
Consumers
Sampling
Economic
Acceso en línea:Citation/Abstract
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Resumen:Organizations must employ big data analytics to maintain sustained innovation in the highly dynamic and evolving business landscape. Even though BDA has a transformative power to revolutionize how businesses do things and engage with their customers’ adopting BDA has faced significant challenges, especially in developing countries. This research aims to create a theoretical framework to understand how organizational readiness for BDA can influence sustainable innovation performance. Sampling errors were mitigated through a time-lagged study design, and the data was collected in three phases. The test results using Partial Least Squares Structural Equation Modeling show that organizational readiness is a critical mediator, establishing a robust chain between BDA skills and sustainable innovation performance. The results of this study imply the need for organizational foundation and alignment, which are critical to the compelling strategic deployment of BDA for sustainability innovation performance. Thus, this study can offer a valuable contribution to this topic in the future and a profound implication of the phenomenon at receptive stages.
ISSN:2662-9992
2055-1045
DOI:10.1057/s41599-024-03424-4
Fuente:Social Science Database