Write a comprehensive outline with a well-developed thesis for Leveraging Analytics to Enhance Demand and Supply Chain Performance.
Use the following sources.
Gazi, M. S. (2024). Optimizing Regional Business Performance: Leveraging Business and Data
Analytics in Logistics & Supply Chain Management for USA’s Sustainable
Growth. Journal of Business and Management Studies, 6(2), 144-152. DOI:
10.32996/jbms
Analytics in Logistics & Supply Chain Management for USA’s Sustainable
Growth. Journal of Business and Management Studies, 6(2), 144-152. DOI:
10.32996/jbms
Olawale, O., Ajayi, F. A., Udeh, C. A., & Odejide, O. A. (2024). Leveraging workforce analytics
for supply chain efficiency: a review of hr data-driven practices. International Journal of
Applied Research in Social Sciences, 6(4), 664-684. DOI: 10.51594/ijarss.v6i4.1061
for supply chain efficiency: a review of hr data-driven practices. International Journal of
Applied Research in Social Sciences, 6(4), 664-684. DOI: 10.51594/ijarss.v6i4.1061
Bag, S., Wood, L. C., Xu, L., Dhamija, P., & Kayikci, Y. (2020).
Big data analytics as an operational excellence approach to enhance sustainable
supply chain performance. Resources, conservation and recycling, 153, 104559. https://e-tarjome.com/storage/panel/fileuploads/2020-01-12/1578836612_E14164-e-tarjome.pdf
Big data analytics as an operational excellence approach to enhance sustainable
supply chain performance. Resources, conservation and recycling, 153, 104559. https://e-tarjome.com/storage/panel/fileuploads/2020-01-12/1578836612_E14164-e-tarjome.pdf
Hallikas, J., Immonen, M., & Brax, S.
(2021). Digitalizing procurement: the impact of data analytics on supply chain
performance. Supply Chain Management: An International Journal, 26(5), 629-646.
https://lutpub.lut.fi/bitstream/handle/10024/162326/hallikas_et_al_digitalizing_procurement_postprint.pdf?isAllowed=y&sequence=1