Open AccessRisk assessment for sustainability on telecom supply chain: A hybrid fuzzy approach
Author(s) -
Venkateswarlu Nalluri,
Long-Sheng Chen
Publication year - 2022
Publication title -
uncertain supply chain management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.395
H-Index - 16
eISSN - 2291-6830
pISSN - 2291-6822
DOI - 10.5267/j.uscm.2021.11.007
Subject(s) - supply chain , context (archaeology) , business , risk management , supply chain risk management , service provider , empirical research , government (linguistics) , sustainability , dimension (graph theory) , fuzzy logic , risk analysis (engineering) , supply chain management , computer science , service (business) , service management , finance , marketing , artificial intelligence , paleontology , philosophy , linguistics , ecology , mathematics , epistemology , pure mathematics , biology
Telecom supply chain (TSC) research has determined several risk sources can happen for sustainable supply chain management (SSCM) due to their ambiguous nature. However, investigation of these risks is relatively sparse and has primarily been independent with less combinatory research, despite their interrelationships and causality. The present study aims to address that gap by an extant literature review and analysis of relationships among risk factors using a combination of fuzzy approaches. A mixed approach was used, including empirical data from private and government firms in a developing telecom sector. This research finding confirmed that economical dimension risk is major for SSCM in the TSC. In developing countries, it could help telecom service providers in determining which risk factors are critical and those that are crucially significant. As a result, they will be able to more effectively develop strategies focussing on the most affecting risk dimension for SSCM. This is the first study using a hybrid fuzzy approach that analysed interrelationships of risk factors for SSCM. Further, it gives a comprehensive view of risk assessment in the risk management context in the supply chain.