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Tytuł artykułu

Industry 4.0, lean management and organizational support : a case of supply chain operations

Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Przemysł 4.0, lean management i wsparcie organizacyjne : przypadek operacji łańcucha dostaw
Języki publikacji
EN
Abstrakty
EN
Currently, Industry 4.0 is considered as the essential improvement of business processes that could improve the lean management along with high organizational support and effective supply chain practices. Thus, the aim linked with the current article is to examine the role of Industry 4.0 in the business processes and its impact on lean management. The purpose also includes the investigation of mediation impact of supply chain operations reference model (SCORM) among the nexus of the role of Industry 4.0 in business process and lean management along with the examination of moderating role of organizational support among the nexus of SCORM and lean management. The researchers and questionnaires have selected the quantitative method of data collection have been used to gather the data from the respondents, while smart-PLS has been executed for analysis purpose. The results revealed that positive association had been found among the nexus of the role of Industry 4.0 in the business processes and lean management. The results also exposed that SCORM is positively mediating among the nexus of the role of Industry 4.0 in the business processes and lean management while organizational support positive moderated among the nexus of SCORM and lean management. These findings provided the guidelines to the policymakers that they should enhance their focus on the implementation of Industry 4.0 in the organization that could lead the organization towards success.
PL
Obecnie Przemysł 4.0 uważany jest za zasadnicze usprawnienie procesów biznesowych, które mogłoby usprawnić szczupłe zarządzanie przy jednoczesnym wysokim wsparciu organizacyjnym i efektywnych praktykach łańcucha dostaw. Zatem celem związanym z niniejszym artykułem jest zbadanie roli Przemysłu 4.0 w procesach biznesowych i jego wpływu na lean management. Celem jest również zbadanie wpływu mediacyjnego modelu referencyjnego operacji łańcucha dostaw (SCORM) na splot roli Przemysłu 4.0 w procesach biznesowych i szczupłym zarządzaniu, wraz z badaniem moderującej roli wsparcia organizacyjnego w powiązaniu SCORM i lean zarządzanie. Badacze i kwestionariusze wybrali ilościową metodę zbierania danych, która została wykorzystana do zebrania danych od respondentów, natomiast smart-PLS został wykonany do analizy. Wyniki ujawniły, że pozytywny związek został znaleziony wśród splotu roli Przemysłu 4.0 w procesach biznesowych i szczupłym zarządzaniu. Wyniki pokazały również, że SCORM pozytywnie pośredniczy w powiązaniu roli Przemysłu 4.0 w procesach biznesowych i szczupłym zarządzaniu, podczas gdy wsparcie organizacyjne jest moderowane pozytywnie wśród powiązań SCORM i lean management. Ustalenia te dostarczyły wskazówek dla decydentów, że powinni oni skupić się na wdrażaniu Przemysłu 4.0 w organizacji, która może poprowadzić organizację do sukcesu.
Rocznik
Strony
583--594
Opis fizyczny
Bibliogr. 28 poz., tab.
Twórcy
  • Vietnam National University of Agriculture (VNUA), Trau Quy, Gia Lam, Ha Noi; Vietnam
  • Economics Department, Vinh University (VU), Vinh City, Vietnam
  • Dong Nai Technology University (DNTU), Bien Hoa City, Vietnam
  • Ha Noi University of Business and Technology (HUBT), Vinh Tuy, Hai Ba Trung, Ha Noi
autor
  • Ha Noi University of Business and Technology (HUBT), Vinh Tuy, Hai Ba Trung, Ha Noi
Bibliografia
  • 1. Basu, P., Dan, P. K., (2019). Pivoting Lean Manufacturing through Industry 4.0 in the Indian Context. Asian Journal of Engineering and Applied Technology, 8(2), 1-7.
  • 2. Bruneckienė, J., Mikalonis, Š. and Rapsikevičius, J., (2020). The interaction between ownership concentration and market risk in European, American and Chinese markets: the effects of BREXIT. Engineering economics, 31(5), 502-512.
  • 3. Cabral, I., Grilo, A. and Cruz-Machado, V., (2012). A decision-making model for lean, agile, resilient and green supply chain management. International Journal of Production Research, 50(17), 4830-4845.
  • 4. Ciano, M. P., Dallasega, P., Orzes, G. and Rossi, T., (2020). One-to-one relationships between Industry 4.0 technologies and Lean Production techniques: a multiple case study. International Journal of Production Research, 7(3), 1-25.
  • 5. Fernández-Caramés, T. M., Blanco-Novoa, O., Froiz-Míguez, I. and Fraga-Lamas, P., (2019). Towards an autonomous industry 4.0 warehouse: A UAV and blockchain-based system for inventory and traceability applications in big data-driven supply chain management. Sensors, 19(10), 23-39.
  • 6. Hayhoe, T., Podhorska, I., Siekelova, A. and Stehel, V., (2019). Sustainable manufacturing in Industry 4.0: Cross-sector networks of multiple supply chains, cyber-physical production systems, and AI-driven decision-making. Journal of Self-Governance and Management Economics, 7(2), 31-36.
  • 7. Istianingsih, N., Masnun, A. and Pratiwi, W., (2020). Managerial performance models through decision making and emotional intelligence in public sector. Administratie si Management Public, 10(35), 153-166.
  • 8. Ivanov, D., Tang, C. S., Dolgui, A., Battini, D. and Das, A., (2020). Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management. International Journal of Production Research, 5(1), 1-24.
  • 9. Karatepe, O. M., Aga, M., (2016). The effects of organization mission fulfillment and perceived organizational support on job performance. International Journal of Bank Marketing, 34(3), 368-387.
  • 10. Kuper, H., (2020). Industry 4.0: changes in work organization and qualification requirements - challenges for academic and vocational education. Entrepreneurship Education, 3(2), 119-131.
  • 11. Labolo, M., Rohmansjah, H., (2020). DO trade, FDI and globalization hurt environmental sustainability in ASEAN national governance, industrialisation and environmental sustainability in a globalized business environment: a panel data analysis of trade-off. Journal of Security and Sustainability Issues, 10(6), 81-92.
  • 12. Lentner, L. , C., Vasa, Hegedűs, S., (2020). The Assessment of Financial Risks of Municipally Owned Public Utility Companies in Hungary Between 2009 and 2018, Montenegrin Journal of Economics, 16(4), 29-41.
  • 13. Li, Y., Dai, J. and Cui, L., (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 8(1), 107-121.
  • 14. Liu, P., Huang, S. H., Mokasdar, A., Zhou, H. and Hou, L., (2014). The impact of additive manufacturing in the aircraft spare parts supply chain: supply chain operation reference (scor) model based analysis. Production Planning & Control, 25(13), 1169-1181.
  • 15. Madsen, D. Ø., (2019). The emergence and rise of Industry 4.0 viewed through the lens of management fashion theory. Administrative Sciences, 9(3), 71-80.
  • 16. Rane, S. B., Narvel, Y. A. M., (2019). Re-designing the business organization using disruptive innovations based on blockchain-IoT integrated architecture for improving agility in future Industry 4.0. Benchmarking: An International Journal, 12(3), 34-45.
  • 17. Salah, S., Rahim, A. and Carretero, J. A., (2010). The integration of Six Sigma and lean management. International Journal of Lean Six Sigma, 1(3), 249-274.
  • 18. Salam, M. A., (2019). Analyzing manufacturing strategies and Industry 4.0 supplier performance relationships from a resource-based perspective. Benchmarking: An International Journal, 7(4), 22-31.
  • 19. Shahin, M., Chen, F. F., Bouzary, H. and Krishnaiyer, K., (2020). Integration of Lean practices and Industry 4.0 technologies: smart manufacturing for next-generation enterprises. The International Journal of Advanced Manufacturing Technology, 12(4), 1-10.
  • 20. Singer, E., Becker, K., (2013). A single-source content management system for lean manufacturing. International Journal of Lean Six Sigma, 4(1), 83-103.
  • 21. Taherimashhadi, M., Ribas, I., (2018). A Model to align the organizational culture to Lean. Journal of Industrial Engineering and Management, 11(2), 207-221.
  • 22. Tortorella, G. L., Giglio, R. and van Dun, D. H., (2019a). Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement. International Journal of Operations & Production Management, 6(3), 18-27.
  • 23. Tortorella, G. L., Giglio, R. and van Dun, D. H., (2019b). Industry 4.0 adoption as a moderator of the impact of lean production practices on operational performance improvement. International Journal of Operations & Production Management, 8(3), 1-10.
  • 24. Tupamahu, K. H., Ghozali, I. and Basuki, P., (2019). Lean Management, Competitive Advantage, and Firm Performance: The Role of Management Control Systems (Evidence from Indonesia Manufacturing Firms). Academic Journal of Interdisciplinary Studies, 8(3), 221-231.
  • 25. Verdouw, C., Beulens, A., Trienekens, J. and Wolfert, J., (2010). Process modelling in demand-driven supply chains: A reference model for the fruit industry. Computers and electronics in agriculture, 73(2), 174-187.
  • 26. Villalba-Diez, J., Zheng, X., Schmidt, D. and Molina, M., (2019). Characterization of industry 4.0 lean management problem-solving behavioral patterns using EEG sensors and deep learning. Sensors, 19(13), 28-41.
  • 27. Yadav, G., Luthra, S., Jakhar, S. K., Mangla, S. K. and Rai, D. P., (2020). A framework to overcome sustainable supply chain challenges through solution measures of industry 4.0 and circular economy: An automotive case. Journal of Cleaner Production, 254(33), 120-139.
  • 28. Zhou, H., Benton Jr, W., Schilling, D. A. and Milligan, G. W., (2011). Supply chain integration and the SCOR model. Journal of Business Logistics, 32(4), 332-344.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e556c2b9-7abd-4be6-bfbd-b686f47edf63
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