Impact of digital information systems on supply chain performance: a mediation of integrations and green practices

Syed Abdul Rehman Khan,Zhang Yu,Muhammad Tanveer,Adeel Shah,J Zhu

doi:10.1051/matecconf/202235502042

Abstract

Industry Revolution (IR) 4.0 is revolutionizing the information infrastructure and the systems in supply chain management. However, the employment of the new technology is not sufficient to impact Supply Chain Management Performance (SCMP). Organizations need to build capabilities like integration both Upstream (UI) and Downstream (DI) for the technology to increase SCMP. The Green Practices (GP) are also becoming part of global corporate culture as all stakeholders demand sustainability in the value chain. The study tests IR 4.0, UI, DI, and GP to understand its impact and relationship with SCMP. For the statistical testing conducts on primary data collected from Malaysian firms. AMOS structural equation model is used to test the model and infer the results. The test concludes that IR 4.0 along with UI, DI, and GP impacts SCMP positively.

Highlights

Industry Revolution (IR) 4.0 is the revolution of technology information systems enveloping advanced applications to manage business operations
Based on the above theoretical evidence, we proposed the following hypothesis: H4: Green Practices (GP) mediates the relationship between IR 4.0 and Supply Chain Management Performance (SCMP)
The hypothesis results are empirically tested through AMOS Structural Equation Modelling (SEM), which are displayed in table 2

Summary

Introduction

IR 4.0 is the revolution of technology information systems enveloping advanced applications to manage business operations. The technology enables businesses to create, collect and process data into meaningful information for decision making [1]. The data is collected from within a business organization and external sources. Data sources can be many for a manufacturing unit, including machines, organizational functions, and human and machine interfaces [2]. Such massive data requires advanced infrastructure for realtime data sharing and a central data processing unit to handle high data influx. The IR 4.0 requires multiple sensors, gauges, network apparatus, and other fast devices to create, share and collect data at high speed. The IR 4.0 is playing a pivotal role in assisting in increasing supply chain performance

Methods

Results

Conclusion