Abstract

The adoption of automatic warehousing systems, a type of green technology, has been an emerging trend in the logistics industry. In this study, we develop a conceptual model using a technology–organization–environment framework to investigate the factors which influence logistics firms to adopt green technology. Our model proposes that the adoption of green technology is influenced by perceived advantage, cost, technological turbulence, business partner influence, firm size, firm scope and operational performance. The objective of this study is to identify the conditions, as well as the contributing factors, for the adoption of automatic warehousing systems in logistics firms. Data were collected from 98 firms in China, and structural equation modeling with partial least squares is adopted to analyze the data. The results suggest that high perceived relative advantage, firm size, cost, firm scope, operation performance, technological turbulence and influence of business partners are important factors affecting IT adoption in small businesses. Therefore, decision support should be provided for enterprises from the three aspects of technology, organization and environment to improve the adoption of automatic warehousing systems.

Highlights

  • Automatic warehousing systems (AWS) are commonly adopted in the manufacturing, logistics, and retail industries

  • This study finds that cost and perceived relative advantages of AWS using the technology perspective in the TOE framework markedly influence firms’ adoption of green technology

  • This study contributes to the enhancement of AWS adoption measurement and provides guidance for firms considering adopting AWS as a guideline for sustainability value creation [1]

Read more

Summary

Introduction

Automatic warehousing systems (AWS) are commonly adopted in the manufacturing, logistics, and retail industries. The scarcity of land resources in recent years has given rise to the demand for continuous development of AWS using information and automation. This system is closely linked to enterprise material flow and widely utilized in business, city traffic management, and other areas. AWS generates savings in cost and energy and improves efficiency and business intelligence. AWS can improve the efficiency of supply chains. Logistics is a common word nowadays, since it has an important role in supply chains and in the competition of firms [2]

Objectives
Methods
Findings
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call