How to cite this paper
Abuzaid, A., Alateeq, M., Baqleh, L., Madadha, S & Haraisa, Y. (2023). The moderating effect of strategic momentum on the relationship between big data analytics capabilities and lean supply chain practices.Uncertain Supply Chain Management, 11(3), 1085-1098.
Refrences
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Aken van, J. E., & Opdenakker, R. J. G. (2005). Strategic momentum: the immediate outcome of an effective strategy formation process. (ECIS working paper series; Vol. 200517). Technische Universiteit Eindhoven.
Aliahmadi, A., Nozari, H., & Ghahremani-Nahr, J. (2022). Big Data IoT-based Agile-Lean Logistic in Pharmaceutical Industries. International Journal of Innovation in Management, Economics and Social Sciences, 2(3), 70-81. https://doi.org/10.52547/ijimes.2.3.70
Al-Nimer, M. (2019). Examining the mediating role of agile supply chain approach between ERP system implementation and organizational performance. International Journal of Supply Chain Management, 8(4), 107-118.
Al-Tit, A. (2016). The impact of lean supply chain on productivity of Saudi manufacturing firms in Al-Qassim region. Polish Journal of Management Studies, 14(1), 18-27. https://doi.org/10.17512/PJMS.2016.14.1.02
Amburgey, T. L., & Miner, A. S. (1992). Strategic Momentum: The Effects of Repetitive, Positional, and Contextual Momentum on Merger Activity. Strategic Management Journal, 13(5), 335-348. http://www.jstor.org/stable/2486453
Antunes, D., Sousa, S. & Nunes, E. (2013). Using project six sigma and lean concepts in internal logistics. Proceedings of the World Congress on Engineering, 3-5 London, pp. 1-6.
Awan, F. H., Dunnan, L., Jamil, K., Mustafa, S., Atif, M., Gul, R. F., & Guangyu, Q. (2022). Mediating Role of Green Supply Chain Management between Lean Manufacturing Practices and Sustainable Performance. Frontiers in psychology, 12, 810504. https://doi.org/10.3389/fpsyg.2021.810504.
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Bag, S., Rahman, M. S., Srivastava, G., Shore, A., & Ram, P. (2023). Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance. Technological Forecasting and Social Change, 186, 122154. https://doi.org/10.1016/j.techfore.2022.122154
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://doi.org/10.1016/j.resconrec.2019.104559
Belhadi, A., Kamble, S. S., Zkik, K., Cherrafi, A., & Touriki, F. E. (2020). The Integrated Effect of Big Data Analytics, Lean Six Sigma and Green Manufacturing on the Environmental Performance of Manufacturing Companies: The Case of North Africa. Journal of Cleaner Production, 252, 119903. https://doi.org/10.1016/j.jclepro.2019.119903
Buzby, C. M., Gerstenfeld, A., Voss, L. E., & Zeng, A. Z. (2002). Using lean principles to streamline the quotation process: a case study. Industrial Management & Data Systems, 102(9), 513-520.
Carvalho, H., & Cruz-Machado, V. (2011). Integrating Lean, Agile, Resilience and Green Paradigms in Supply Chain Management (LARG_SCM). Supply Chain Management. https://doi.org/10.5772/14592
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Choi, T., Wallace, S. W., & Wang, Y. (2018). Big Data Analytics in Operations Management. Production and Operations Management, 27(10), 1868-1883. https://doi.org/10.1111/poms.12838
Cox, A., & Chicksand, D. (2005). The Limits of Lean Management Thinking. European
Management Journal, 23(6), 648-662.
Daud, A., & Zailani, S. (2011). Lean supply chain practices and performance in the context of Malaysia. Supply Chain Management–Pathways for Research and Practice, 1.
Drohomeretski, E., Gouvea da Costa, S. & Pinheiro de Lima, E. (2014). Green supply chain management: rivers, barriers and practices within the Brazilian automotive industry. Journal of Manufacturing Technology Management, 25(8), 1105-1134. https://doi.org/10.1108/JMTM-06-2014-0084
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Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317.
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Aken van, J. E., & Opdenakker, R. J. G. (2006). Creating Strategic Momentum: Strategic Management with an Action Focus Instead of a Plan Focus. In VIII IFSAM World Congress, Berlin, Germany, September 28-30 2006.
Aken van, J. E., & Opdenakker, R. J. G. (2005). Strategic momentum: the immediate outcome of an effective strategy formation process. (ECIS working paper series; Vol. 200517). Technische Universiteit Eindhoven.
Aliahmadi, A., Nozari, H., & Ghahremani-Nahr, J. (2022). Big Data IoT-based Agile-Lean Logistic in Pharmaceutical Industries. International Journal of Innovation in Management, Economics and Social Sciences, 2(3), 70-81. https://doi.org/10.52547/ijimes.2.3.70
Al-Nimer, M. (2019). Examining the mediating role of agile supply chain approach between ERP system implementation and organizational performance. International Journal of Supply Chain Management, 8(4), 107-118.
Al-Tit, A. (2016). The impact of lean supply chain on productivity of Saudi manufacturing firms in Al-Qassim region. Polish Journal of Management Studies, 14(1), 18-27. https://doi.org/10.17512/PJMS.2016.14.1.02
Amburgey, T. L., & Miner, A. S. (1992). Strategic Momentum: The Effects of Repetitive, Positional, and Contextual Momentum on Merger Activity. Strategic Management Journal, 13(5), 335-348. http://www.jstor.org/stable/2486453
Antunes, D., Sousa, S. & Nunes, E. (2013). Using project six sigma and lean concepts in internal logistics. Proceedings of the World Congress on Engineering, 3-5 London, pp. 1-6.
Awan, F. H., Dunnan, L., Jamil, K., Mustafa, S., Atif, M., Gul, R. F., & Guangyu, Q. (2022). Mediating Role of Green Supply Chain Management between Lean Manufacturing Practices and Sustainable Performance. Frontiers in psychology, 12, 810504. https://doi.org/10.3389/fpsyg.2021.810504.
Awwad, M., Kulkarni, P., Bapna, R., & Marathe, A. (2018, September). Big data analytics in supply chain: a literature review. In Proceedings of the international conference on industrial engineering and operations management (Vol. 2018, pp. 418-25).
Bag, S., Rahman, M. S., Srivastava, G., Shore, A., & Ram, P. (2023). Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance. Technological Forecasting and Social Change, 186, 122154. https://doi.org/10.1016/j.techfore.2022.122154
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://doi.org/10.1016/j.resconrec.2019.104559
Belhadi, A., Kamble, S. S., Zkik, K., Cherrafi, A., & Touriki, F. E. (2020). The Integrated Effect of Big Data Analytics, Lean Six Sigma and Green Manufacturing on the Environmental Performance of Manufacturing Companies: The Case of North Africa. Journal of Cleaner Production, 252, 119903. https://doi.org/10.1016/j.jclepro.2019.119903
Buzby, C. M., Gerstenfeld, A., Voss, L. E., & Zeng, A. Z. (2002). Using lean principles to streamline the quotation process: a case study. Industrial Management & Data Systems, 102(9), 513-520.
Carvalho, H., & Cruz-Machado, V. (2011). Integrating Lean, Agile, Resilience and Green Paradigms in Supply Chain Management (LARG_SCM). Supply Chain Management. https://doi.org/10.5772/14592
Chen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: the constructs and measurements. Journal of operations management, 22(2), 119-150. https://doi.org/10.1016/j.jom.2003.12.007
Chiarini, A., & Vagnoni, E. (2017). Strategies for modern operations management: Answers from European manufacturing companies. Benchmarking: An International Journal, 24(4), 1065-1081. https://doi.org/10.1108/BIJ-11-2015-0115
Choi, T., Wallace, S. W., & Wang, Y. (2018). Big Data Analytics in Operations Management. Production and Operations Management, 27(10), 1868-1883. https://doi.org/10.1111/poms.12838
Cox, A., & Chicksand, D. (2005). The Limits of Lean Management Thinking. European
Management Journal, 23(6), 648-662.
Daud, A., & Zailani, S. (2011). Lean supply chain practices and performance in the context of Malaysia. Supply Chain Management–Pathways for Research and Practice, 1.
Drohomeretski, E., Gouvea da Costa, S. & Pinheiro de Lima, E. (2014). Green supply chain management: rivers, barriers and practices within the Brazilian automotive industry. Journal of Manufacturing Technology Management, 25(8), 1105-1134. https://doi.org/10.1108/JMTM-06-2014-0084
Dutton, J. E., & Duncan, R. B. (1987). The creation of momentum for change through the process of strategic issue diagnosis. Strategic Management Journal, 8, 279-295.
Eckstein, D., Goellner, M., Blome, C., & Henke, M. (2015). The performance impact of supply chain agility and supply chain adaptability: the moderating effect of product complexity. International Journal of Production Research, 53(10), 3028-3046.
Farah, M. A. (2015). Lean supply chain management practices and organizational performance in the public water sector in Kenya. (Thesis, University of Nairobi). Retrieved from http://hdl.handle.net/11295/93500
Gabr, S. M. H., & Alabadi, H. F. D. (2022). Strategic Momentum as an Effective Tool to Reduce Ostracism in the Workplace (Analytical study of a sample of employee opinions of the Najaf Refinery). Journal of Positive School Psychology, 6(6), 5323-5337.
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308-317.
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064. https://doi.org/10.1016/j.im.2016.07.004
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial least squares structural equation modeling (PLS-SEM) using R: A workbook (p. 197). Springer Nature.
Harris, G. A., Componation, P. J., & Farrington, P. A. (2010). An exploration of Fisher's framework for the alignment of supply chain strategy with product characteristics. Engineering Management Journal, 22(4), 31-43.
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