From Ledger to Impact: Blockchain-Enabled Data Analytics and Triple-Bottom-Line Performance in Malaysia’s Logistics Sector

This study will test whether blockchain adoption will improve the triple-bottom-line performance of Malaysian logistics firms by first strengthening their data-analytic capability.Anchored in Dynamic Capabilities Theory, it will survey digitally active freight forwarders, 3PLs and in-house logistics units and will analyse the data with PLS-SEM, incorporating procedural and statistical remedies for common-method bias.The model is expected to confirm that blockchain intensity will boost data quality and analytic maturity, that stronger analytics will enhance social, environmental and economic outcomes, and that data-analytic capability will fully mediate the blockchain-sustainability link.Purpose -It will test whether data-analytic capability will mediate the link between blockchain intensity and social, environmental, and economic performance.Design/methodology -A cross-sectional survey of digitally active logistics providers will be analysed with PLS-SEM; procedural and statistical controls will limit common-method bias.Findings -The model is expected to show that blockchain adoption will raise data quality, that stronger analytics will improve all three sustainability dimensions, and that full mediation will emerge.Originality/value -This will be the first empirical study to integrate blockchain and analytics within Dynamic Capabilities Theory for an emergingeconomy logistics context, supplying actionable guidance for firms and policymakers.