- Abubakar, A. M., Elrehail, H., Alatailat, M. A., & Elçi, A. (2019). Knowledge management, decision-making style and organizational performance. Journal of Innovation & Knowledge, 4(2), 104-114. https://doi.org/10.1016/j.jik.2017.07.003
- Ansari, F. (2019). Knowledge management 4.0: theoretical and practical considerations in cyber physical production systems. IFAC-PapersOnLine, 52(13), 1597-1602. https://doi.org/10.1016/j.ifacol.2019.11.428
- Bibby, L., & Dehe, B. (2018). Defining and assessing industry 4.0 maturity levels–case of the defence sector. Production Planning & Control, 29(12), 1030-1043. https://doi.org/10.1080/09537287.2018.1503355
- Cárcel-Carrasco, J., & Gómez-Gómez, C. (2021). Qualitative analysis of the perception of company managers in knowledge management in the maintenance activity in the era of industry 4.0. Processes, 9(1), 121. https://doi.org/10.3390/pr9010121
5. Cruzara, G., Takahashi, A. R. W., Sandri, E. C., & Cherobim, A. P. M. (2020). The impact of digital transformation and industry 4.0 on the aspects of value: Evidence from a meta-synthesis. Contextus: Revista Contemporânea de economia e gestão, 18(1), 92-106. https://doi.org/10.19094/contextus.2020.43717
- Eslami, M. H., Achtenhagen, L., Bertsch, C. T., & Lehmann, A. (2023). Knowledge-sharing across supply chain actors in adopting Industry 4.0 technologies: An exploratory case study within the automotive industry. Technological Forecasting and Social Change, 186, 122118. https://doi.org/10.1016/j.techfore.2022.122118
- Ferraris, A., Mazzoleni, A., Devalle, A., & Couturier, J. (2019). Big data analytics capabilities and knowledge management: impact on firm performance. Management Decision, 57(8), 1923-1936.https://doi.org/10.1108/MD-07-2018-0825
- García-Holgado, A., García-Peñalvo, F. J., Hernández-García, Á, & Llorens-Largo, F. (2015). Analysis and improvement of knowledge management processes in organizations using the business process model notation. In New Information and Communication Technologies for Knowledge Management in Organizations: 5th Global Innovation and Knowledge Academy Conference, GIKA 2015, Valencia, Spain, July 14-16, 2015, Proceedings 5 (pp. 93-101). Springer International Publishing. https://doi.org/10.1007/978-3-319-22204-2_9
- Ghobakhloo, M. (2018). The future of manufacturing industry: a strategic roadmap toward Industry 4.0. Journal of manufacturing technology management, 29(6), 910-936. https://doi.org/10.1108/JMTM-02-2018-0057
- Gupta, A., Kr Singh, R., Kamble, S., & Mishra, R. (2022). Knowledge management in industry 4.0 environment for sustainable competitive advantage: a strategic framework. Knowledge Management Research & Practice, 20(6), 878-892. https://doi.org/10.1080/14778238.2022.2144512
- He, W., Wang, F. K., & Akula, V. (2017). Managing extracted knowledge from big social media data for business decision making. Journal of Knowledge Management, 21(2), 275–294. https://doi.org/10.1108/JKM-07-2015-0296
- Hoon, C. (2013). Meta-synthesis of qualitative case studies: an approach to the building. Organizational Research Methods, 16(4), 522-556. https://doi.org/10.1177/1094428113484969
- Lee, J., Davari, H., Singh, J., & Pandhare, V. (2018). Industrial artificial intelligence for Industry 4.0-based manufacturing systems. Manufacturing Letters, 18, 20–23. https://doi.org/10.1016/j.mfglet.2018.09.002
- Librita Arifiani, S. K., Dyah Budiastuti, M. M., & Wibowo Kosasih, E. (2019). The effect of disruption technology, and the future knowledge management toward service innovation for telecommunication industry 4.0 in Indonesia. Int. J. Eng. Adv. Technol, 8, 247-257. https://doi.org/10.35940/ijeat.F1040.0986S319
- Ludvigsen, M. S., Hall, E. O., Meyer, G., Fegran, L., Aagaard, H., & Uhrenfeldt, Lu, Y. (2016). Using Sandelowski and Barroso’s meta-synthesis method in advancing qualitative evidence. Qualitative health research, 26(3), 320-329. https://doi.org/10.1177/1049732315576493
- Klingenberg, C. O., Viana Borges, M. A., & Valle Antunes Jr., J. A. (2019). Industry 4.0 as a data-driven paradigm: a systematic literature review on technologies. Journal of ManufacturingTechnology Management. https://doi.org/10.1108/JMTM-09-2018-0325
- Kolyasnikov, M. S., & Kelchevskaya, N. R. (2020). Knowledge management strategies in companies: Trends and the impact of Industry 4.0. Upravlenec, 11(4). https://doi.org/10.29141/2218-5003-2020-11-4-7
- Malik, N., Tripathi, S. N., Kar, A. K., & Gupta, S. (2021). Impact of artificial intelligence on employees working in industry 4.0 led organizations. International Journal of Manpower, 43(2), 334-354. https://doi.org/10.1108/IJM-03-2021-0173
- Miao, M., Zaman, S. I., Zafar, A., Rodriguez, C. G., & Ali Zaman, S. A. (2022). The augmentation of Knowledge Management through Industry 4.0: case of Aviation sector of emerging economy. Knowledge Management Research & Practice, 20(6), 893-912. https://doi.org/10.1080/14778238.2022.2113345
- Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook. sage.
- Morais-Da-Silva, R. L., Takahashi, A. R. W., & Segatto, A. P. (2016). Scaling up social innovation: a meta-synthesis. RAM. Revista de Administração Mackenzie, 17, 134-163. https://doi.org/10.1590/1678-69712016/administracao.v17n6p134-163
- Müller, J. M., Buliga, O., & Voigt, K. I. (2018). Fortune favors the prepared: How SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change, 132, 2-17. https://doi.org/10.1016/j.techfore.2017.12.019
- North, K., & Maier, R. (2018). Wissen 4.0–Wissens management in digital Wandel. HMD Praxis der Wirtschaftsinformatik: Vol. 55, No. 4. DOI: https://doi.org/10.1365/s40702-018-0426-6
- Nunez-Merino, M., Maqueira-Marín, J. M., Moyano-Fuentes, J., & Martínez-Jurado, P. J. (2020). Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review. International Journal of Production Research, 58(16), 5034-5061. https://doi.org/10.1080/00207543.2020.1743896
- Obermayer, N., & Toth, V. E. (2020). Organizational dynamics: exploring the factors affecting knowledge sharing behavior. Kybernetes, 49(1), 165-181. https://doi.org/10.1108/K-04-2019-0300
- Piccarozzi, M., Aquilani, B., & Gatti, C. (2018). Industry 4.0 in management studies: A systematic literature review. Sustainability, 10(10), 3821. https://doi.org/10.3390/su10103821
- Pozzi, R., Rossi, T., & Secchi, R. (2023). Industry 4.0 technologies: critical success factors for implementation and improvements in manufacturing companies. Production Planning & Control, 34(2), 139-158. https://doi.org/10.1080/09537287.2021.1891481
- Prim, M. F., de Oliveira Gomes, J., Kohl, H., Orth, R., Will, M., & Vargas, G. B. (2022). Identifying the Dynamics of Intangible Resources for Industry 4.0 Adoption Process. IEEE Access, 10, 101029-101041. https://doi.org/10.1109/ACCESS.2022.3208250
- Ringen, G., Paalsrud, F., & Lodgaard, E. (2020). Interorganizational learning in manufacturing networks. In Advances in Production Management Systems. The Path to Digital Transformation and Innovation of Production Management Systems: IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30–September 3, 2020, Proceedings, Part I (pp. 680-686). Springer International Publishing. https://doi.org/10.1007/978-3-030-57993-7_77
- Roblek, V., Meško, M., & Krapež, A. (2016). A complex view of industry 4.0. Sage open, 6(2), 2158244016653987. https://doi.org/10.1177/2158244016653987
- Salvadorinho, J., & Teixeira, L. (2021). Organizational knowledge in the I4. 0 using BPMN: a case study. Procedia Computer Science, 181, 981-988. https://doi.org/10.1016/j.procs.2021.01.266
- Sandelowski, M., Barroso, J., & Voils, C. I. (2007). Using qualitative metasummary to synthesize qualitative and quantitative descriptive findings. Research in nursing & health, 30(1), 99-111. https://doi.org/10.1002/nur.20176
- Sartori, J. T. D., Frederico, G. F., & de Fátima Nunes Silva, H. (2022). Organizational knowledge management in the context of supply chain 4.0: A systematic literature review and conceptual model proposal. Knowledge and Process Management, 29(2), 147-161. https://doi.org/10.1002/kpm.1682
- Saucedo-Martínez, J. A., Pérez-Lara, M., Marmolejo-Saucedo, J. A., Salais-Fierro, T. E., & Vasant, P. (2018). Industry 4.0 framework for management and operations: a review. Journal of ambient intelligence and humanized computing, 9, 789-801. https://doi.org/10.1007/s12652-017-0533-1
- Sony, M., & Naik, S. (2020). Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model. Technology in society, 61, 101248. https://doi.org/10.1016/j.techsoc.2020.101248
- Tao, F., Qi, Q., Liu, A., & Kusiak, A. (2018). Data-driven smart manufacturing. Journal of Manufacturing Systems, 48, 157–169. https://doi.org/10.1016/j.jmsy.2018.01.006
- Thoben, K. D., Wiesner, S., & Wuest, T. (2017). “Industrie 4.0” and smart manufacturing-a review of research issues and application examples. International journal of automation technology, 11(1), 4-16. https://doi.org/10.20965/ijat.2017.p0004
- Tortorella, G., Prashar, A., Vassolo, R., Cawley Vergara, A. M., Godinho Filho, M., & Samson, D. (2022). Boosting the impact of knowledge management on innovation performance through industry 4.0 adoption. Knowledge Management Research & Practice, 1-17. https://doi.org/10.1080/14778238.2022.2108737
- Wilkesmann, M., & Wilkesmann, U. (2018). Industry 4.0 – organizing routines or innovations? VINE Journal of Information and Knowledge Management Systems, 48(2), 238–254. https://doi.org/10.1108/VJIKMS-04-2017-0019
- Xu, Z., Frankwick, G. L., & Ramirez, E. (2016). Effects of big data analytics and traditional marketing analytics on new product success: A knowledge fusion perspective. Journal of Business Research, 69(5), 1562–1566. https://doi.org/10.1016/j.jbusres.2015.10.017
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