References
- Bieńkowska, A. (2020). Controlling Effectiveness Model-empirical research results regarding the influence of controlling on organisational performance. Engineering Management in Production and Services, 12(3), 28-42.
- Broz, D. R., Rossit, D. A., Rossit, D. G., & Cavallin, A. (2018). The Argentinian forest sector: opportunities and challenges in supply chain management. Uncertain Supply Chain Management, 6, 375-392.
- Bukowski, L. (2019). Logistics decision-making based on the maturity assessment of imperfect knowledge. Engineering Management in Production and Services, 11(4), 65-79.
- Carter, C., & Rogers, D. (2008). A framework of sustainable supply chain management: moving toward new theory, International Journal of Physical Distribution & Logistics Management, 38(5), 360-387.
- Chae, B. K. (2009). Developing key performance indicators for supply chain: an industry perspective. Supply Chain Management: An International Journal, 14(6), 422-428.
- Christopher, M. (2011). Logistics and supply chain management: creating value-adding networks. 4th Edition. Dorchester, Financial Times: Prentice Hall
- Colledani, M., & Tolio, T. (2011). Integrated analysis of quality and production logistics performance in manufacturing lines. International Journal of Production Research, 49(2), 485-518.
- Drucker, P. (2012). The practice of management. Routledge.
- Florek-Paszkowska, A., Ujwary-Gil, A., & Godlewska-Dzioboń, B. (2021). Business innovation and critical success factors in the era of digital transformation and turbulent times. Journal of Entrepreneurship, Management, and Innovation, 17(4), 7-28. doi: 10.7341/20211741
- Gunasekaran, A., & Kobu, B. (2007). Performance measures and metrics in logistics and supply chain management: a review of recent literature (1995–2004) for research and applications. International Journal of Production Research, 45(12), 2819-2840.
- Halaška, M., & Šperka, R. (2019). Performance of an automated process model discovery–the logistics process of a manufacturing company. Engineering Management in Production and Services, 11(2), 106-118.
- Ivanov, D. (2018). Structural dynamics and resilience in supply chain risk management. Berlin: Springer International Publishing.
- Ivanov, D., Tsipoulanidis, A., & Schönberger, J. (2017). Global supply chain and operations management. A Decision-Oriented Introduction to the Creation of Value. 2nd Edition. Springer.
- Jabilles, E. M. Y., Cuizon, J. M. T., Tapales, P. M. A., Urbano, R. L., Ocampo, L. A., & Kilongkilong, D. A. A. (2019). Simulating the impact of inventory on supply chain resilience with an algorithmic process based on the supply-side dynamic inoperability input–output model. International Journal of Management Science and Engineering Management, 14(4), 253-263.
- Kozma, T. (2017). Cooperation in the supply chain network. Forum Scientiae Oeconomia, 5(3), 45-58. doi: 10.23762/FSO_vol5no3_17_3
- Kucukaltan, B., Irani, Z., & Aktas, E. (2016). A decision support model for identification and prioritization of key performance indicators in the logistics industry. Computers in Human Behavior, 65, 346-358.
- Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial Marketing Management, 29(1), 65-83.
- Lohman, C., Fortuin, L., & Wouters, M. (2004). Designing a performance measurement system: A case study. European journal of operational research, 156(2), 267-286.
- Maestrini, V., Luzzini, D., Maccarrone, P., & Caniato, F. (2017). Supply chain performance measurement systems: A systematic review and research agenda. International Journal of Production Economics, 183, 299-315.
- Makris, S., Zoupas, P., & Chryssolouris, G. (2011). Supply chain control logic for enabling adaptability under uncertainty. International Journal of Production Research, 49(1), 121-137.
- Mandal, S. (2016). An empirical competence-capability model of supply chain innovation. Business: Theory and Practice, 17(2), 138-149. doi: 10.3846/btp.2016.619
- Marziali, M., Rossit, D. A., & Toncovich, A. A. (2021). Warehouse Management Problem and a KPI Approach: a Case Study. Management and Production Engineering Review, 12(3), 51-62.
- Maulina, E., & Natakusumah, K. (2020). Determinants of supply chain operational performance. Uncertain Supply Chain Management, 8(1), 117-130.
- Neely, A. (Ed.). (2007). Business performance measurement: Unifying theory and integrating practice. Cambridge University Press.
- Neely, A., Richards, H., Mills, J., Platts, K., & Bourne, M. (1997). Designing performance measures: a structured approach. International Journal of Operations & Production Management, 17(11), 1131-1152.
- Nurakhova, B., Ilyashova, G., & Torekulova, U. (2020). Quality control in dairy supply chain management. Polish Journal of Management Studies, 21(1), 236-250. doi: 10.17512/pjms.2020.21.1.18
- Osadolor, V., Agbaeze, E. K., Isichei, E. E., & Olabosinde, S. T. (2021). Entrepreneurial self-efficacy and entrepreneurial intention: The mediating role of the need for independence. Journal of Entrepreneurship, Management, and Innovation, 17(4), 91-119. doi: 10.7341/20211744
- Parmenter, D. (2015). Key performance indicators: developing, implementing, and using winning KPIs. John Wiley & Sons.
- Rafele, C. (2004). Logistic service measurement: a reference framework. Journal of Manufacturing Technology Management, 15(3), 280-290.
- Sangwan, K. S. (2017). Key activities, decision variables and performance indicators of reverse logistics. Procedia CIRP, 61(1), 257-262.
- Shiri, H., Rahmani, M., & Bafruei, M. (2020). Examining the impact of transfers in pickup and delivery systems. Uncertain Supply Chain Management, 8(1), 207-224.
- Steiner, G. A. (2010). Strategic planning. Simon and Schuster.
- Sujová, A., Marcineková, K., & Simanová, Ľ. (2019). Influence of modern process performance indicators on corporate performance – the empirical study. Engineering Management in Production and Services, 11(2), 119-129.
- Vollmann, T. E., Berry, W. L., Whybark, D. C., & Jacobs, R. (2005). Manufacturing Planning and Control for Supply Chain Management. 5th Edition. McGraw-Hill/Irwin.