Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2022.2126991
Assessment of the agriculture supply chain risks for investments of agricultural small and mediumsized enterprises (SMEs) using the decision support model
Tao Zhai
Daqing Wang
Qi Zhang
Parvaneh Saeidi
Arunodaya Raj Mishra
Sažetak
A key challenge in responding to the emerging challenges in agri-food
supply chains is encouraging continued new investment. This is related
to the recognition that agricultural production is often a lengthy process
requiring ongoing investments that may not produce expected
returns for a prolonged period, thereby being highly sensitive tomarket
risks. Agricultural productions are generally susceptible to different serious
risks such as crop diseases, weather conditions, and pest infections.
Many practitioners in this domain, particularly small and medium-sized
enterprises (SMEs), have shifted toward digitalization to address such
problems. To help with this situation, the current paper develops an
integrated decision-making framework, with the Pythagorean fuzzy
sets (PFSs), the method for removal effects of criteria (MEREC), the ranksum
(RS) and the gained and Lost dominance score (GLDS) termed as
PF-MEREC-RS-GLDS approach. In this approach, the PF-MEREC-RS
method is applied to compute the subjective and objective weights of
the main risks to assess the agriculture supply chain for investments of
SMEs, and the PF-GLDS model is used to assess the preferences of
enterprises over different the main risks to assess of the agriculture supply
chain for investments of SMEs. An empirical case study is taken to
evaluate the main risks to assess the agriculture supply chain for SME
investments. Also, comparison and sensitivity investigation are made to
show the superiority of the developed framework.
Ključne riječi
Agriculture supply chain; supply chain risks; agricultural small-medium sized enterprises (SMEs); Pythagorean fuzzy sets; rank sum method; gained and lost dominance score (GLDS); multi-criteria decision-making
Hrčak ID:
306671
URI
Datum izdavanja:
30.4.2023.
Posjeta: 236 *