How to cite this paper
Elgendy, A. (2021). The mediating effect of big data analysis on the process orientation and information system software to improve supply chain process in Saudi Arabian industrial organizations.International Journal of Data and Network Science, 5(2), 135-142.
Refrences
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Davenport, T. H. (2005). Competing on Analytics Compliments of…. www.hbr.orgorcall800-988-0886.www.hbr.org
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Reyes, P. M. (2005). Logistics networks: A game theory application for solving the transshipment problem. Applied Mathematics and Computation, 168(2), 1419–1431. https://doi.org/10.1016/j.amc.2004.10.030
Richey, R. G., Morgan, T. R., Lindsey-Hall, K., & Adams, F. G. (2016). A global exploration of Big Data in the supply chain: Global exploration of Big Data. In International Journal of Physical Distribution and Logistics Management (Vol. 46, Issue 8). https://doi.org/10.1108/IJPDLM-05-2016-0134
Sahay, B. S., & Ranjan, J. (2008). Real time business intelligence in supply chain analytics. Information Management and Computer Security, 16(1), 28–48. https://doi.org/10.1108/09685220810862733
Shang, J., Tadikamalla, P. R., Kirsch, L. J., & Brown, L. (2008). A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems, 46(1), 1–13. https://doi.org/10.1016/j.dss.2008.04.004
Singh, A., & Trivedi, A. (2016). Sustainable green supply chain management: trends and current practices. Competitiveness Review, 26(3), 265–288. https://doi.org/10.1108/CR-05-2015-0034
Stadtler, H. (2005). Supply chain management and advanced planning - Basics, overview and challenges. European Journal of Operational Research, 163(3), 575–588. https://doi.org/10.1016/j.ejor.2004.03.001
Trkman, P., Štemberger, M. I., Jaklič, J., & Groznik, A. (2007). Process approach to supply chain integration. Supply Chain Management, 12(2), 116–128. https://doi.org/10.1108/13598540710737307
Watson, H. J., Wixom, B. H., Hoffer, J. A., Anderson-Lehman, R., & Reynolds, A. M. (2009). Real-time business intelligence: best practices at continental airlines. Edpacs, 40(6), 1–16. https://doi.org/10.1080/07366980903484935
Auramo, J., Kauremaa, J., & Tanskanen, K. (2005). Benefits of IT in supply chain management: An explorative study of progressive companies. International Journal of Physical Distribution & Logistics Management, 35(2), 82–100. https://doi.org/10.1108/09600030510590282
Bose, R. (2009). Advanced analytics: opportunities and challenges. Industrial Management & Data Systems, 109(2), 155–172. https://doi.org/10.1108/02635570910930073
Cai, J., Liu, X., Xiao, Z., & Liu, J. (2009). Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decision Support Systems, 46(2), 512–521. https://doi.org/10.1016/j.dss.2008.09.004
Dale Stoel, M., & Muhanna, W. A. (2009). IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type. Information and Management, 46(3), 181–189. https://doi.org/10.1016/j.im.2008.10.002
Davenport, T. H. (2005). Competing on Analytics Compliments of…. www.hbr.orgorcall800-988-0886.www.hbr.org
Dehning, B., Richardson, V. J., & Zmud, R. W. (2007). The financial performance effects of IT-based supply chain management systems in manufacturing firms. Journal of Operations Management, 25(4), 806–824. https://doi.org/10.1016/j.jom.2006.09.001
Dweekat, A. J., Hwang, G., & Park, J. (2017). A supply chain performance measurement approach using the internet of things: Toward more practical SCPMS. Industrial Management and Data Systems, 117(2), 267–286. https://doi.org/10.1108/IMDS-03-2016-0096
Hoole, R. (2005). Five ways to simplify your supply chain. Supply Chain Management: An International Journal, 10(1), 3–6. https://doi.org/10.1108/13598540510578306
Hult, G. T. M., Ketchen, D. J., & Slater, S. F. (2004). Information processing, knowledge development, and strategic supply chain performance. Academy of Management Journal, 47(2), 241–253. https://doi.org/10.2307/20159575
Jothimani, D., & Sarmah, S. P. (2014). Supply chain performance measurement for third party logistics. Benchmarking, 21(6), 944–963. https://doi.org/10.1108/BIJ-09-2012-0064
Meixell, M. J., & Gargeya, V. B. (2005). Global supply chain design: A literature review and critique. Transportation Research Part E: Logistics and Transportation Review, 41(6 SPEC. ISS.), 531–550. https://doi.org/10.1016/j.tre.2005.06.003
Reyes, P. M. (2005). Logistics networks: A game theory application for solving the transshipment problem. Applied Mathematics and Computation, 168(2), 1419–1431. https://doi.org/10.1016/j.amc.2004.10.030
Richey, R. G., Morgan, T. R., Lindsey-Hall, K., & Adams, F. G. (2016). A global exploration of Big Data in the supply chain: Global exploration of Big Data. In International Journal of Physical Distribution and Logistics Management (Vol. 46, Issue 8). https://doi.org/10.1108/IJPDLM-05-2016-0134
Sahay, B. S., & Ranjan, J. (2008). Real time business intelligence in supply chain analytics. Information Management and Computer Security, 16(1), 28–48. https://doi.org/10.1108/09685220810862733
Shang, J., Tadikamalla, P. R., Kirsch, L. J., & Brown, L. (2008). A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems, 46(1), 1–13. https://doi.org/10.1016/j.dss.2008.04.004
Singh, A., & Trivedi, A. (2016). Sustainable green supply chain management: trends and current practices. Competitiveness Review, 26(3), 265–288. https://doi.org/10.1108/CR-05-2015-0034
Stadtler, H. (2005). Supply chain management and advanced planning - Basics, overview and challenges. European Journal of Operational Research, 163(3), 575–588. https://doi.org/10.1016/j.ejor.2004.03.001
Trkman, P., Štemberger, M. I., Jaklič, J., & Groznik, A. (2007). Process approach to supply chain integration. Supply Chain Management, 12(2), 116–128. https://doi.org/10.1108/13598540710737307
Watson, H. J., Wixom, B. H., Hoffer, J. A., Anderson-Lehman, R., & Reynolds, A. M. (2009). Real-time business intelligence: best practices at continental airlines. Edpacs, 40(6), 1–16. https://doi.org/10.1080/07366980903484935