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1.

The moderating effect of strategic momentum on the relationship between big data analytics capabilities and lean supply chain practices Pages 1085-1098 Right click to download the paper Download PDF

Authors: Ahmad Nasser Abuzaid, Manal Alateeq, Lubna Baqleh, Saif-aldeen Madadha, Yazan Al Haraisa

DOI: 10.5267/j.uscm.2023.4.013

Keywords: Big data analytics capabilities, Strategic Momentum, Lean supply chain Practices, Textile manufacturing companies, Jordan

Abstract:
The present study aimed to explore the moderating role of strategic momentum in the relationship between big data analytics capabilities and lean supply chain practices in eight textile companies in Jordan. A quantitative research methodology incorporating a cross-sectional design was adopted to gather questionnaire-based responses to investigate the hypotheses put forth. The sample for the study consisted of 116 respondents, who were selected from a diverse group of senior executives from various fields, including IT, logistics, marketing, production, and strategic planning. These individuals possessed both knowledge and skills in data and business analytics disciplines. The data were analyzed utilizing SPSS version 28 and the PROCESS v3.5 macro developed by Andrew F. Hayes. The results revealed that the strategic momentum positively moderates the relationship between big data analytics capabilities and lean supply chain practices. These findings indicate that high levels of strategic momentum allow an organization to increase resources and focus on investing in and developing its big data capabilities, thereby supporting the implementation of lean supply chain practices.
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Journal: USCM | Year: 2023 | Volume: 11 | Issue: 3 | Views: 1043 | Reviews: 0

 

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