A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management

Bataineh, A.; Abu-AlSondos, I.; Salhab, H.; Al-Abbas, L.

Growing Science » Uncertain Supply Chain Management » A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management

Journals

USCM Volumes

Volume 1 (22)
- Issue 1 (4)
- Issue 2 (6)
- Issue 3 (6)
- Issue 4 (6)

Volume 2 (32)
- Issue 1 (7)
- Issue 2 (5)
- Issue 3 (10)
- Issue 4 (10)

Volume 3 (39)
- Issue 1 (9)
- Issue 2 (13)
- Issue 3 (10)
- Issue 4 (7)

Volume 4 (31)
- Issue 1 (10)
- Issue 2 (6)
- Issue 3 (6)
- Issue 4 (9)

Volume 5 (26)
- Issue 1 (6)
- Issue 2 (6)
- Issue 3 (8)
- Issue 4 (6)

Volume 6 (25)
- Issue 1 (7)
- Issue 2 (6)
- Issue 3 (6)
- Issue 4 (6)

Volume 7 (57)
- Issue 1 (8)
- Issue 2 (19)
- Issue 3 (14)
- Issue 4 (16)

Volume 8 (82)
- Issue 1 (20)
- Issue 2 (15)
- Issue 3 (17)
- Issue 4 (30)

Volume 9 (117)
- Issue 1 (25)
- Issue 2 (26)
- Issue 3 (32)
- Issue 4 (34)

Volume 10 (150)
- Issue 1 (28)
- Issue 2 (32)
- Issue 3 (44)
- Issue 4 (46)

Volume 11 (190)
- Issue 1 (42)
- Issue 2 (45)
- Issue 3 (50)
- Issue 4 (53)

Volume 12 (244)
- Issue 1 (55)
- Issue 2 (59)
- Issue 3 (63)
- Issue 4 (67)

Volume 13 (45)
- Issue 1 (15)
- Issue 2 (15)
- Issue 3 (15)

Countries

Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print) Quarterly Publication Volume 10 Issue 4 pp. 1289-1296 , 2022

A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management Pages 1289-1296 Download PDF

Authors: Abdallah Q. Bataineh, Ibrahim Abu-AlSondos, Hanadi A. Salhab, Linda S. Al-Abbas

DOI: 10.5267/j.uscm.2022.7.011

Keywords: Sustainability, Enterprise resource planning (ERP), Supply Chain Management (SCM), Digitization

Abstract: Digitization and the internet are new phenomena which have greatly changed the way in which modern-day businesses are run. Enterprise resource planning (ERP) is one such system developed as a result of digitization in order to improve firm supply chain efficiency. This study investigated the relationship between digital and sustainable supply chain (in this case the ERP system) and firm competences of supply chain management. 33 respondents from e-commerce firms volunteered to take part in the data collection process of the study, with a majority of them being information technology (IT) managers. The hypothesized relationships were analyzed using structural equation modelling (SEM). Findings of the study depict that all the hypothesized relationships were significant (p<.001) at the 1 % level of significance, implying that there exists a positive effect of the ERP systems on firm performance.

How to cite this paper

 Bataineh, A., Abu-AlSondos, I., Salhab, H & Al-Abbas, L. (2022). A structural equation model for analyzing the relationship between enterprise resource planning and digital supply chain management.Uncertain Supply Chain Management, 10(4), 1289-1296.

Refrences

Bataineh, A. Q. (2021). The moderating effect of supply chain eco-centricity between green supply chain management practices and firm performance. International Journal of Procurement Management, 14(3), 328-341.
Govindan, K., Cheng, T. E., Mishra, N., & Shukla, N. (2018). Big data analytics and application for logistics and supply chain management. Transportation Research Part E: Logistics and Transportation Review, 114, 343-349.
Gravili, G., Benvenuto, M., Avram, A., & Viola, C. (2018). The influence of the Digital Divide on Big Data generation within supply chain management. The International Journal of Logistics Management, 29(2), 592-628.
Holmström, J., & Partanen, J. (2014). Digital manufacturing-driven transformations of service supply chains for complex products. Supply Chain Management: An International Journal, 19(4), 421-430.
Ivanov, D., Dolgui, A., & Sokolov, B. (2019). The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics. International Journal of Production Research, 57(3), 829-846.
Liu, X. (Ed.). (2019). Environmental sustainability in Asian logistics and supply chains. Singapore: Springer.
Nasiri, M., Ukko, J., Saunila, M., & Rantala, T. (2020). Managing the digital supply chain: The role of smart technologies. Technovation, 96, 102121.
Perboli, G., Musso, S., & Rosano, M. (2018). Blockchain in logistics and supply chain: A lean approach for designing real-world use cases. Ieee Access, 6, 62018-62028.
Tsang, Y. P., Choy, K. L., Wu, C. H., Ho, G. T., Lam, C. H., & Koo, P. S. (2018). An Internet of Things (IoT)-based risk monitoring system for managing cold supply chain risks. Industrial Management & Data Systems, 118(7), 1432-1462.
Tseng, M. L., Islam, M. S., Karia, N., Fauzi, F. A., & Afrin, S. (2019). A literature review on green supply chain management: Trends and future challenges. Resources, Conservation and Recycling, 141, 145-162.
Wang, Y., Han, J. H., & Beynon-Davies, P. (2018). Understanding blockchain technology for future supply chains: a systematic literature review and research agenda. Supply Chain Management: An International Journal, 24(1), 62-84.