Evolution of Technology in SME Warehouses and Its Impact on Performance during Period of
Uncertainty 2
Background
Numerous small and medium sized enterprises (SMEs) depend on technology for their
daily operations (Wong et al, 2020). Recent trends in technological advancements has eased
operational burden and even promoted security to both clients and the warehouse staff. For
instance, the implementations of technologies like programmed warehousing systems, CCTV
cameras, and e-commerce have been major technological trends that are emerging in the logistic
industry especially for the small and medium size warehouses. This trends in technology have
proven to help the organizations in operating efficiently especially during uncertain times for
example the COVID-19 pandemic, a global outbreak of the novel corona virus (Watkins, 2020).
In this research study, we aim to develop a conceptual prototypical using an Technology-
Organization-Environment (TOE) framework to explore the numerous factors that influences
small and medium sized (SME) logistic companies to embrace technology (Jia et al, 2017). The
model proposes that SME warehouses implementation of technological advancements are
influenced by perceived benefits, cost, the scope of the firm, external influence (for example,
partners and competition), and the size of their firms and the performance of operations.
The main aim of this study is to discover the significance of technology adaptation in
SMEs (Small and medium business enterprises), and the how the increased use of technology
will influence their performance during a crisis (Mendy & Rahman, 2019). The data that were
used in the study were collected from 80 (United Kingdom Based) small and medium
warehouses while the analyzation of the information was done through the uses of structural
equation modeling with least squares. The results of our study proposed that the perceived
benefits, cost, the scope of the firm, external influence (for example, partners and competition),
and the size of their firms and the performance of operations (Hassan, 2017) are all essential