STRATEGIC FIT IN EMERGING MARKET SUPPLY CHAIN DESIGN: EVIDENCE FROM DANGOTE CEMENT PLC, NIGERIA
Abstract
Strategic fit requires a firm's supply-chain capabilities to support its competitive priorities and the characteristics of the environment in which it operates. However, conventional applications of strategic-fit theory can understate the influence of institutional and infrastructural conditions on supply-chain architecture in emerging markets. This review article examines Dangote Cement Plc in Nigeria as a single documentary case, integrating Porter's competitive-strategy perspective with Chopra and Meindl's strategic-fit framework. Corporate disclosures, established supply-chain literature and institutional evidence are analysed across facilities, sourcing, transportation, energy, inventory and information-related decisions. The analysis finds that Dangote Cement's documented configuration reflects extensive control over strategically important stages of the value chain, including limestone extraction, cement production, selected energy inputs and a substantial distribution capability. These choices support cost control, supply assurance, scale and market reach and can therefore be interpreted as mutually reinforcing elements of competitive and supply-chain strategy. The analysis further argues that foreign-exchange exposure and infrastructure unreliability should be treated as first-order supply-chain design variables in emerging-market contexts. Where imported inputs create currency exposure, electricity supply is unreliable or third-party logistics capacity imposes service uncertainty, the economic boundary between outsourcing and internalisation changes. Vertical integration, local sourcing, alternative fuels, captive logistics capability and redundancy may consequently represent strategic responses to environmental uncertainty rather than simple preferences for asset ownership. The study extends strategic-fit reasoning by proposing that emerging-market supply-chain design must align competitive priorities, demand characteristics and environmental constraints simultaneously. It recommends that firms evaluate network configuration using total risk-adjusted supply cost rather than purchase price alone.