Journal of Information Systems Engineering and Management

Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency
Luying Cheng 1 * , Xiaohan Zhang 2, Ziming Xu 3
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1 Lecturer, School of Business, Nanfang College Guangzhou, Guangzhou, China
2 Lecturer, School of Economics and Management, Weifang University of Science and Technology, Weifang, China
3 Teaching Assistant, School of Economics and Management, Weifang University of Science and Technology, Weifang, China
* Corresponding Author
Research Article

Journal of Information Systems Engineering and Management, 2023 - Volume 8 Issue 1, Article No: 25092
https://doi.org/10.55267/iadt.07.14080

Published Online: 27 Jan 2023

Views: 157 | Downloads: 140

How to cite this article
APA 6th edition
In-text citation: (Cheng et al., 2023)
Reference: Cheng, L., Zhang, X., & Xu, Z. (2023). Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. Journal of Information Systems Engineering and Management, 8(1), 25092. https://doi.org/10.55267/iadt.07.14080
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Cheng L, Zhang X, Xu Z. Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. J INFORM SYSTEMS ENG. 2023;8(1):25092. https://doi.org/10.55267/iadt.07.14080
AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Cheng L, Zhang X, Xu Z. Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. J INFORM SYSTEMS ENG. 2023;8(1), 25092. https://doi.org/10.55267/iadt.07.14080
Chicago
In-text citation: (Cheng et al., 2023)
Reference: Cheng, Luying, Xiaohan Zhang, and Ziming Xu. "Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency". Journal of Information Systems Engineering and Management 2023 8 no. 1 (2023): 25092. https://doi.org/10.55267/iadt.07.14080
Harvard
In-text citation: (Cheng et al., 2023)
Reference: Cheng, L., Zhang, X., and Xu, Z. (2023). Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency. Journal of Information Systems Engineering and Management, 8(1), 25092. https://doi.org/10.55267/iadt.07.14080
MLA
In-text citation: (Cheng et al., 2023)
Reference: Cheng, Luying et al. "Exploring Dimensions in Digital Economy and Manufacturing Integration: Analyzing with DEA-Malmquist Model and Emphasizing the Role of ERP Systems in Enhancing Collaboration and Efficiency". Journal of Information Systems Engineering and Management, vol. 8, no. 1, 2023, 25092. https://doi.org/10.55267/iadt.07.14080
ABSTRACT
ERP integration influenced digital economy manufacturing in this study. The DEA-Malmquist method calculated the digital economy manufacturing integration contribution rate index. In China, the researchers targeted Beijing-Tianjin-Hebei, Greater Bay Area, and Changzhu Lake. Regional economic growth rose with manufacturing integration. Integration accelerates commerce, resource allocation, regional manufacturing, and digital economy growth. Integration boosts corporate and customer service accessibility, reports say. These regions experienced increasing client demand and innovation. Integration's diverse impact on economic growth differed by location due to economic structures and stages. To understand how digital economy and industrial integration maintain economic growth, ERP digitalization, government policies, digital infrastructure, and market rules must be investigated. The DEA-Malmquist regional digital economy manufacturing integrated latitude measurement model is crucial. The model and research benefit government and business strategy. This study boosts sector growth and long-term economic and industrial development by raising knowledge of regional digital economies and manufacturing integration.
KEYWORDS
REFERENCES
  • Avilova, V. V., Shaykhutdinova, F. N., & Kuramshina, K. S. (2019). Models of cluster and digital integration of high-tech industries of the Eurasian Economic Union countries. In International Scientific and Practical Conference on Digital economy (ISCDE 2019) (pp. 905-911). Atlantis Press.
  • Barmuta, K. A., Akhmetshin, E. M., Andryushchenko, I. Y., Tagibova, A. A., Meshkova, G. V., & Zekiy, A. O. (2020). Problems of business processes transformation in the context of building digital economy. Entrepreneurship and Sustainability Issues, 8(1), 945-959.
  • Bejlegaard, M., Sarivan, I. M., & Waehrens, B. V. (2021). The influence of digital technologies on supply chain coordination strategies. Journal of Global Operations and Strategic Sourcing, 14(4), 636-658.
  • Belli, L., Davoli, L., Medioli, A., Marchini, P. L., & Ferrari, G. (2019). Toward Industry 4.0 With IoT: Optimizing Business Processes in an Evolving Manufacturing Factory. Frontiers in ICT, 6, 1-14.
  • Boev, A. G., Anisimov, Y. P., Kolodyazhnaya, O. A., Savvateev, V. A., Babakov, M. A., & Safonova, A. I. (2020). Industrial Complex Transformation Trends in Digital Economy. In Russian Conference on Digital Economy and Knowledge Management (RuDEcK 2020) (pp. 87-91). Atlantis Press.
  • Cao, L., Niu, H., & Wang, Y. F. (2022). Utility analysis of digital villages to empower balanced urban-rural development based on the three-stage DEA-Malmquist model. PLoS ONE, 17(8), 1-19.
  • Chinoracky, R., & Corejova, T. (2021). How to evaluate the digital economy scale and potential?. Entrepreneurship and Sustainability Issues, 8(4), 536-552.
  • Ciric, D., Lolic, T., Gracanin, D., Stefanovic, D., & Lalic, B. (2020). The application of ICT solutions in manufacturing companies in Serbia. In IFIP International Conference on Advances in Production Management Systems (pp. 122-129). Cham, Switzerland: Springer International Publishing.
  • Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2022). Overcoming the barriers of effective implementation of manufacturing execution system in pursuit of smart manufacturing in SMEs. Procedia Computer Science, 200(2019), 820-832.
  • Faccia, A., & Petratos, P. (2021). Blockchain, enterprise resource planning (ERP) and accounting information systems (AIS): Research on e-procurement and system integration. Applied Sciences (Switzerland), 11(15), 6792.
  • Gong, X. (2022). A Study on the Performance of Digital Economy Companies based on DEA-malmquist Model. In 2022 2nd International Conference on Enterprise Management and Economic Development (ICEMED 2022) (pp. 70-74). Atlantis Press.
  • Götz, M., & Jankowska, B. (2020). Adoption of industry 4.0 technologies and company competitiveness: Case studies from a post-transition economy. Foresight and STI Governance, 14(4), 61-78.
  • Iliescu, M.-E. (2020). Barriers to digital transformation in SMEs: a qualitative exploration of factors affecting erp adoption in Romania. STRATEGICA, 453.
  • Ivanović, T., & Marić, M. (2021). Application of modern Enterprise Resource Planning (ERP) systems in the era of digital transformation. Strategic Management, 26(4), 28-36.
  • Koumas, M., Dossou, P.-E., & Didier, J.-Y. (2021). Digital Transformation of Small and Medium Sized Enterprises Production Manufacturing. Journal of Software Engineering and Applications, 14(12), 607-630.
  • Kraus, K., Kraus, N., & Manzhura, O. (2021). Digitalization of business processes of enterprises of the ecosystem of industry 4.0: Virtual-real aspect of economic growth reserves. WSEAS Transactions on Business and Economics, 18, 569-580.
  • Li, Q. (2023). Research on the Efficiency of Digital Economy Development of Huzhou from an Input-Output Perspective. Academic Journal of Business & Management, 5(2), 95-102.
  • Liao, M. H., & Wang, C. T. (2021). Using enterprise architecture to integrate lean manufacturing, digitalization, and sustainability: A lean enterprise case study in the chemical industry. Sustainability (Switzerland), 13(9), 4851.
  • Litvinenko, V. S. (2020). Digital Economy as a Factor in the Technological Development of the Mineral Sector. Natural Resources Research, 29(3), 1521-1541.
  • Liu, Y., & Zhou, Y. (2022). Operating Efficiency Analysis of Listed Companies in Digital Industry: A Malmquist Approach. In 2022 International Conference on Bigdata Blockchain and Economy Management (ICBBEM 2022) (pp. 1410-1418). Atlantis Press.
  • Molina-Castillo, F. J., Rodríguez, R., López-Nicolas, C., & Bouwman, H. (2022). The role of ERP in business model innovation: Impetus or impediment. Digital Business, 2(2), 100024.
  • Noorit, N., Thapayom, A., & Pornpundejwittaya, P. (2020). Guidelines for Adaptation of the Thai Industrial Business To Support the Digital Economy. Academy of Strategic Management Journal, 19(6), 1-15.
  • Novikov, S. V., & Sazonov, A. A. (2020). Improving the enterprise resource planning system based on digital modules of the industry 4.0 concept. Revista Espacios, 41(05), 27.
  • Pavlović, M., Marjanović, U., Rakić, S., Tasić, N., & Lalić, B. (2020). The Big Potential of Big Data in Manufacturing: Evidence from Emerging Economies. IFIP Advances in Information and Communication Technology, 592, 100-107.
  • Pierre, S. L. J., Vergara, R. I. C., & Hellen, L. V. (2022). Effects of the use of digital technologies on the performance of firms in a developing country: are there differences between creative and manufacturing industries?. International Journal of Information Systems and Project Management, 10(1), 73-91.
  • Prakash, V., Savaglio, C., Garg, L., Bawa, S., & Spezzano, G. (2022). Cloud- and Edge-based ERP systems for Industrial Internet of Things and Smart Factory. Procedia Computer Science, 200, 537-545.
  • Shinkevich, A. I., Barsegyan, N. V., Shinkevich, M. V., Ostanina, S. S., Galimulina, F. F., & Nadezhdina, M. E. (2019a). Reserves for improving the efficiency of petrochemical production on the basis of “Industry 4.0”. In E3S Web of Conferences. https://doi.org/10.1051/e3sconf/201912404006
  • Shinkevich, A. I., Kudryavtseva, S. S., Shinkevich, M. V., Salimianova, I. G., & Ishmuradova, I. I. (2019b). Improving the efficiency of production process organization in the resource saving system of petrochemical enterprises. International Journal of Energy Economics and Policy, 9(4), 233-239.
  • Sturgeon, T. J. (2021). Upgrading strategies for the digital economy. Global Strategy Journal, 11(1), 34-57.
  • van Erp, T., Rytter, N. G. M., Sieckmann, F., Larsen, M. B., Blichfeldt, H., & Kohl, H. (2021). Management, design, and implementation of innovation projects: towards a framework for improving the level of automation and digitalization in manufacturing systems. In 2021 9th International Conference on Control, Mechatronics and Automation (ICCMA) (pp. 211-217). IEEE.
  • Xu, G., Zhu, J., Li, C., & Shan, J. (2023). Study on the Synergistic Evolutionary Effects of China’s Digital Economy Core Industry and Energy Industry Based on DEA Malmquist Synergistic Development Model and Grey Correlation Analysis. Sustainability (Switzerland), 15(13), 10382.
  • Zeba, G., Lucić, J., & Čičak, M. (2019). Erp Systems in Croatian Enterprises and Industry 4.0. Industry 4.0, 316(6), 313-316.
  • Zhang, G., Ye, Y., & Sun, M. (2023). Assessing the Static and Dynamic Efficiency of Digital Economy in China: Three Stage DEA–Malmquist Index Based Approach. Sustainability, 15(6), 5270.
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