Supply Chain Sustainability in Disruption: SC Intelligence, Customer Knowledge Transfer, and the Mediating Role of IS/IT

2025

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DOI 10.1109/emr.2025.3531236
Data confidence 70 medium
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Abstract

Knowledge resource and information system/technology (IS/IT) capability have been considered to improve firm performance, however, there is still a gap regarding the sustainability of supply chain to face and recover from disruption (e.g., COVID-19). Questionnaire-based surveys were adopted and received feedback from 160 Indonesian companies or about 28.07% of response rate. We decided on Indonesia because it was significantly impacted by major disruptions caused by COVID-19, making it a relevant and critical context for our study. To empirically validate the integrative model, we used SmartPLS and SPSS statistics tools. We categorize industry's/firm's supply chain scope into several varieties such as agriculture, cement, oil, and plantation; manufactures and constructions; insurances and finance services; and IS/IT services. First, referring to soft/knowledge-resource view, customer knowledge transfer has successfully improved supply chain sustainability directly including IS/IT responding. On one side, supply chain knowledge transfer has efficiently assisted IS/IT responding but is not helpful enough for supply chain sustainability. Additionally, IS/IT responding has effectively mediated two relationships of supply chain schemas. The study recommends that the executive level of firm's supply chain ideally empowers the two schemes (i.e., supply chain and customer knowledge transfer) to attain extraordinary sustainability of the supply chain in crisis time such COVID-19. For instance, when firm's supply chain is willing to get advantages from knowledge transfer strategy, it is recommended to adopt customer knowledge transfer approach to obtain more benefits regarding the sustainability capability. This study deals and has a novelty with a combination of soft/knowledge-resource view (supply chain knowledge transfer and customer knowledge transfer) and hard/technological (IS/IT responding) model to the applicable within supply chain disruptions.