Environmental Dynamics in the Technology Adaptation of Digital Supply Chain for Bangladesh’s Readymade Garments Sector
Date
2024-04
Journal Title
Journal ISSN
Volume Title
Publisher
AIUB
Abstract
The study aims to investigate the challenges of technology adoption in the Digital
Supply Chain (DSC) of the Readymade Garment (RMG) sector, focusing on
environmental barriers. The study utilizes the T-O-E framework to examine a sample
of 380 participants, consisting of owners and top managers from RMG facilities. The
data is analyzed using PLS-SEM Modeling with the aid of SmartPLS4 software. It
examines the complex interrelationships between competitive pressure, consumer,
external support, stakeholder networks, environmental concerns, and technology
adoption within the digital supply chain of the RMG industry. The finding shows that
the technology adoption is substantially influenced by environment (correlation:
0.598), particularly regarding the alignment with customers. The analysis of
mediation sheds light on the significance of the environment in both partial and
complete mediation, as it exerts influence on competitive pressures, customer
involvement, external support, and stakeholder networks. Comprehending this
interrelationship is crucial for making well-informed business and policy formulation
decisions. Organizations must incorporate environmental factors into their strategic
decision-making processes, ensuring sustainable technologies are adopted.
Policymakers can employ these findings to implement environmentally sustainable
policies, promoting innovation within the RMG sector. These measures guarantee
the long-term viability of the industry and promote ecological accountability.
Description
Keywords
Digital Supply Chain, Environmental Factors, Technology Adaptation
Citation
Khan, Z. H., Habib, M. M., & Islam, G. M. (2024). EnvironmentalDynamics in the Technology Adaptation of Digital Supply Chain for Bangladesh’s Readymade Garments Sector. AIUB Journal of Science and Engineering (AJSE), 23(1), 54 - 63. https://doi.org/10.53799/ajse.v23i1.980
