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    المؤلفون: Knežević, Blaženka, author, Stefańska, Magdalena, author, Olejnik, Iwona, author

    المصدر: Exploring ESG Challenges and Opportunities: Navigating Towards a Better Future

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    المؤلفون: Zheng, Xiaosong, Chen, Yilin

    المساهمون: Ekonomická fakulta

    وصف الملف: text; application/pdf

    Relation: Aamer, A., Sahara, C. R., & Al-Awlaqi, M. A. (2023). Digitalization of the supply chain: Transformation factors. Journal of Science and Technology Policy Management, 14(4), 713–733. https://doi.org/10.1108/jstpm-01-2021-0001; Agarwal, R., & Helfat, C. E. (2009). Strategic renewal of organizations. Organization Science, 20(2), 281–293. https://doi.org/10.1287/ orsc.1090.0423; Ageron, B., Bentahar, O., & Gunasekaran, A. (2020). Digital supply chain: Challenges and future directions. Supply Chain Forum: An International Journal, 21(3), 133–138. https:// doi.org/10.1080/16258312.2020.1816361; AlMulhim, A. F. (2021). Smart supply chain and firm performance: The role of digital technologies. Business Process Management Journal, 27(5), 1353–1372. https://doi.org/10.1108/ bpmj-12-2020-0573; Alzarooni, A. M., Khan, S. A., Gunasekaran, A., & Mubarik, M. S. (2022). Enablers for digital supply chain transformation in the service industry. Annals of Operations Research. https://doi.org/10.1007/s10479-022-05047-x; Attaran, M. (2020). Digital technology enablers and their implications for supply chain management. Supply Chain Forum: An International Journal, 21(3), 158–172. https://doi.org/ 10.1080/16258312.2020.1751568; Bacchetti, A., & Saccani, N. (2012). Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice. Omega, 40(6), 722–737. https://doi.org/10.1016/j.omega.2011.06.008; Basu, R. (2023). Managing global supply chains (3rd ed.). Routledge.; Beaulieu, M., & Bentahar, O. (2021). Digitalization of the healthcare supply chain: A roadmap to generate benefits and effectively support healthcare delivery. Technological Forecasting and Social Change, 167, 120717. https://doi.org/10.1016/j.techfore.2021.120717; Ben-Menahem, S. M., Kwee, Z., Volberda, H. W., & Van Den Bosch, F. A. J. (2013). Strategic renewal over time: The enabling role of potential absorptive capacity in aligning internal and external rates of change. Long Range Planning, 46(3), 216–235. https://doi. org/10.1016/j.lrp.2012.09.012; Bigliardi, B., Filippelli, S., Petroni, A., & Tagliente, L. (2022). The digitalization of supply chain: A review. Procedia Computer Science, 200, 1806–1815. https://doi.org/10.1016/j.procs. 2022.01.381; Boylan, J. E., & Syntetos, A. A. (2010). Spare parts management: A review of forecasting research and extensions. IMA Journal of Management Mathematics, 21(3), 227–237. https://doi.org/10.1093/imaman/dpp016; Chapman, R. L., Soosay, C., & Kandampully, J. (2003). Innovation in logistic services and the new business model: A conceptual framework. International Journal of Physical Distribution & Logistics Management, 33(7), 630–650. https://doi.org/10.1108/09600030310499295; Chowdhury, T., Adafin, J., & Wilkinson, S. (2019). Review of digital technologies to improve productivity of New Zealand construction industry. Journal of Information Technology in Construction, 24(2019VMAR), 569–587. https:// doi.org/10.36680/j.itcon.2019.032; Christopher, M. (2016). Logistics & supply chain management (5th ed.). Pearson.; Cohen, S., & Roussel, J. (2013). Strategic supply chain management: The five core disciplines for top performance (2nd ed.). McGraw-Hill.; Dey, P. K., Chowdhury, S., Abadie, A., Vann Yaroson, E., & Sarkar, S. (2023). Artificial intelligence- driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises. International Journal of Production Research, 1–40. https://doi.org/10.1080/ 00207543.2023.2179859; Eraslan, E., & İÇ, Y. T. (2020). An improved decision support system for ABC inventory classification. Evolving Systems, 11(4), 683–696. https://doi.org/10.1007/s12530-019-09276-7; Gagliardi, A. R., Festa, G., Usai, A., Dell’Anno, D., & Rossi, M. (2023). The impact of knowledge management on the digital supply chain – A bibliometric literature review. International Journal of Physical Distribution & Logistics Management, 53(5/6), 612–627. https://doi. org/10.1108/ijpdlm-07-2022-0206; Govindasamy, C., Antonidoss, A., & Pandiaraj, A. (2022). Cost optimization for inventory management in blockchain and cloud. In R. Kanthavel, K. Ananthajothi, S. Balamurugan, & R. K. Ganesh (Eds.), Artificial intelligent techniques for wireless communication and networking (pp. 59–74). Wiley. https://doi. org/10.1002/9781119821809.ch5; Guo, L., Chen, J., Li, S., Li, Y., & Lu, J. (2022). A blockchain and IoT-based lightweight framework for enabling information transparency in supply chain finance. Digital Communications and Networks, 8(4), 576–587. https:// doi.org/10.1016/j.dcan.2022.03.020; Hamann-Lohmer, J., Bendig, M., & Lasch, R. (2023). Investigating the impact of digital transformation on relationship and collaboration dynamics in supply chains and manufacturing networks – A multi-case study. International Journal of Production Economics, 262, 108932. https://doi.org/10.1016/j.ijpe.2023.108932; Hanafi, R., Mardin, F., Asmal, S., Setiawan, I., & Wijaya, S. (2019). Toward a green inventory controlling using the ABC classification analysis: A case of motorcycle spares parts shop. IOP Conference Series: Earth and Environmental Science, 343(1), 012012. https://doi. org/10.1088/1755-1315/343/1/012012; Ho, W. R., Tsolakis, N., Dawes, T., Dora, M., & Kumar, M. (2023). A digital strategy development framework for supply chains. IEEE Transactions on Engineering Management, 70(7), 2493–2506. https://doi.org/ 10.1109/tem.2021.3131605; Holtström, J. (2022). Business model innovation under strategic transformation. Technology Analysis & Strategic Management, 34(5), 550–562. https://doi.org/10.1080/09537325. 2021.1914329; Khan, M. N., & Sinha, A. K. (2022). Development of a sustainable supply chain network for the cement manufacturing industry using real-coded genetic algorithm. Soft Computing, 26(22), 12235–12255. https://doi.org/10.1007/ s00500-022-07054-3; Kharub, M., Mor, R. S., & Sharma, R. (2019). The relationship between cost leadership competitive strategy and firm performance: A mediating role of quality management. Journal of Manufacturing Technology Management, 30(6), 920–936. https://doi.org/10.1108/ jmtm-06-2017-0116; Kheybari, S., Naji, S. A., Rezaie, F. M., & Salehpour, R. (2019). ABC classification according to Pareto’s principle: A hybrid methodology. OPSEARCH, 56(2), 539–562. https://doi. org/10.1007/s12597-019-00365-4; Kumar, S., Raut, R. D., Priyadarshinee, P., & Narkhede, B. E. (2023). Exploring warehouse management practices for adoption of IoT-blockchain. Supply Chain Forum: An International Journal, 24(1), 43–58. https://doi.org/ 10.1080/16258312.2022.2082852; Lang, L. D., Behl, A., Phuong, N. N. D., Gaur, J., & Dzung, N. T. (2022). Toward SME digital transformation in the supply chain context: The role of structural social and human capital. International Journal of Physical Distribution & Logistics Management, 53(4), 448–466. https://doi.org/10.1108/ijpdlm-12-2021-0525; Li, N., Liu, D., & Boadu, F. (2023). The impact of digital supply chain capabilities on enterprise sustainable competitive performance: An ambidextrous view. Industrial Management & Data Systems, 123(6), 1670–1689. https:// doi.org/10.1108/imds-11-2022-0699; Li, Z., Wu, X., Liu, F., Fu, Y., & Chen, K. (2019). Multicriteria ABC inventory classification using acceptability analysis. International Transactions in Operational Research, 26(6), 2494–2507. https://doi.org/10.1111/ itor.12412; MacCarthy, B. L., Blome, C., Olhager, J., Srai, J. S., & Zhao, X. (2016). Supply chain evolution – Theory, concepts and science. International Journal of Operations & Production Management, 36(12), 1696–1718. https://doi.org/ 10.1108/ijopm-02-2016-0080; Min, S., Zacharia, Z. G., & Smith, C. D. (2019). Defining supply chain management: In the past, present, and future. Journal of Business Logistics, 40(1), 44–55. https://doi.org/ 10.1111/jbl.12201; Muntaka, A. S., Agyei-Owusu, B., Manso, J. F., & Kankam-Boadu, E. (2023). Pursuing transport digitalisation to achieve transport cost optimisation. Supply Chain Forum: An International Journal, 1–13. https://doi.org/10.1080/ 16258312.2023.2238667; Perano, M., Cammarano, A., Varriale, V., Del Regno, C., Michelino, F., & Caputo, M. (2023). Embracing supply chain digitalization and unphysicalization to enhance supply chain performance: A conceptual framework. International Journal of Physical Distribution & Logistics Management, 53(5/6), 628–659. https://doi. org/10.1108/ijpdlm-06-2022-0201; Pflaum, A., Prockl, G., Bodendorf, F., & Chen, H. (2023). The digital supply chain of the future: From drivers to technologies and applications. In T. X. Bui (Ed.), Proceedings of the 56th Hawaii International Conference on System Sciences (pp. 4492–4494). Hawaii International Conference on System Sciences (HICSS). https://doi.org/10125/103178; Porter, M. (2008). On competition [Updated and expanded edition]. Harvard Business Press.; Preindl, R., Nikolopoulos, K., & Litsiou, K. (2020). Transformation strategies for the supply chain: The impact of Industry 4.0 and digital transformation. Supply Chain Forum: An International Journal, 21(1), 26–34. https://doi.org/ 10.1080/16258312.2020.1716633; Qu, L., & Zhang, Q. (2006). Literature review of spare parts inventory management. Research and Exploration in Laboratory, 7, 875–880.; Rasool, F., Greco, M., & Strazzullo, S. (2023). Understanding the future KPI needs for digital supply chain. Supply Chain Forum: An International Journal, 1–12. https://doi.org/ 10.1080/16258312.2023.2253524 Sarkar, S. (2023). ABC classification using extended R-model, SVM and Lorenz curve. OPSEARCH, 60(3), 1433–1455. https://doi.org/ 10.1007/s12597-023-00679-4 Saryatmo, M. A., & Sukhotu, V. (2021). The influence of the digital supply chain on operational performance: A study of the food and beverage industry in Indonesia. Sustainability, 13(9), 5109. https://doi.org/ 10.3390/su13095109 Sharma, M., Kumar, A., Luthra, S., Joshi, S., & Upadhyay, A. (2022). The impact of environmental dynamism on low‐carbon practices and digital supply chain networks to enhance sustainable performance: An empirical analysis. Business Strategy and the Environment, 31(4), 1776–1788. https://doi.org/10.1002/ bse.2983 Shen, H. C., Tao, Q., & Chen, Y. B. (2000). Supply chain management theory and methods. Chinese Journal of Management Science, 1, 1–9. https://doi.org/10.16381/j.cnki. issn1003-207x.2000.01.001 Sui, M. G., & Wei, Y. (2000). Literature review: Current status of supply chain inventory cost research and its development trends. Logistics Technology, 5, 28–29. Tavassoli, M., & Farzipoor Saen, R. (2022). A stochastic data envelopment analysis approach for multi-criteria ABC inventory classification. Journal of Industrial and Production Engineering, 39(6), 415–429. https://doi.org/ 10.1080/21681015.2022.2037761 Tripsas, M. (2010). Customer preference discontinuities: A trigger for radical technological change. Managerial and Decision Economics, 29(2–3), 79–97. https://doi.org/10.1002/ mde.1389 Xiao, J. (2015). The supply chain transformation from being partner-oriented to being customer-oriented: A double-case study on the supply chains in ecommerce enterprises. Management World, 4, 137–154. https://doi.org/ 10.19744/j.cnki.11-1235/f.2015.04.013 Yin, W. (2023). Identifying the pathways through digital transformation to achieve supply chain resilience: An fsQCA approach. Environmental Science and Pollution Research, 30(4), 10867–10879. https://doi.org/10.1007/s11356- 022-22917-w Yu, W., Hou, G., Xia, P., & Li, J. (2019). Supply chain joint inventory management and cost optimization based on ant colony algorithm and fuzzy model. Tehnicki Vjesnik, 26(6), 1729–1737. https://doi.org/10.17559/tv-20190805123158 Yung, K. L., Ho, G. T. S., Tang, Y. M., & Ip, W. H. (2021). Inventory classification system in space mission component replenishment using multi-attribute fuzzy ABC classification. Industrial Management & Data Systems, 121(3), 637–656. https://doi.org/10.1108/imds- 09-2020-0518 Zhao, Z., Chen, R., & Cui, N. (2004). Twoechelon storage mode of spare parts in process industry. Industrial Engineering and Management, 6, 61–64. https://doi.org/10.19495/j. cnki.1007-5429.2004.06.015 Zowid, F. M., Babai, M. Z., Douissa, M. R., & Ducq, Y. (2019). Multi-criteria inventory ABC classification using Gaussian mixture model. IFAC-PapersOnLine, 52(13), 1925–1930. https://doi.org/10.1016/j.ifacol.2019.11.484; Ekonomie a Management; Economics and Management; true; https://dspace.tul.cz/handle/15240/174713

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