Abstract
Global competition encourages all industries to attain cutting-edge performance by continuously developing their goods and processes; knowledge is the most effective and powerful weapon for long-term sustainability and growth. Effective blockchain adoption (BCA) and better supply chain visibility (SCV) via organizational and production knowledge management (KM) have emerged as the most powerful instruments for improving sustainable organizational performance (SOP). Therefore, drawing on the resource-based view and technology acceptance model, this study seeks to underline the empirical relationships among KM, BCA, SCV, and SOP in a developing country context of Chinese manufacturing, as research in this sector is still nascent encompassing these constructs. Data were collected from 289 respondents (senior, middle, and junior) level staff members from manufacturing industries and analyzed by a novel approach; partial least square structural equation modeling (PLS-SEM). The empirical analyses indicated that KM significantly impacts BCA. BCA also positively affects SCV. Besides BCA, the KM also positively impacts SOP. The mediation effect analysis revealed the significant serial mediating impact of BCA and SCV on the relationship of KM to SOP. This study enriches the inadequate literature and throws light on BCA from an organizational resource perspective. The study deepens our understanding and delivers valued insights to the managers and policymakers of manufacturing industries concerning the role of KM, BCA, and SCV in achieving SOP.
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