The Effect of Customer Integration on the Operational Efficiency of Commercial State Corporations in Kenya
DOI:
https://doi.org/10.59413/ajocs/v7.i2.4Keywords:
Customer Integration, Operational Efficiency, Commercial State Corporations, Process cycle time, Service delivery, KenyaAbstract
Commercial State Corporations (CSCs) in Kenya continue to face persistent operational inefficiencies despite ongoing reforms, privatization efforts, and substantial government bailouts. These inefficiencies evident in high operating costs, delays, and inconsistent service quality have been linked to weak supply chain practices, particularly inadequate customer integration. Effective customer integration enables organizations to capture and utilize customer information for demand planning, service customization, and timely operational adjustments, yet its influence within Kenya’s state-owned enterprises remains underexplored. This study examined the effect of customer integration on the operational efficiency of commercial state corporations in Kenya. Anchored in systems theory and contingency theory, the study adopted a descriptive cross-sectional research design and targeted 46 active CSCs, with procurement officers serving as units of analysis. A census approach was used, and data were collected through a structured questionnaire. Ordinary Least Squares regression analysis using SPSS version 30 established that customer integration has a significant positive effect on operational efficiency (t-statistic = 6.909, P-value < 0.05). The findings indicate that CSCs that maintain structured customer feedback systems, engage customers in planning, and align service delivery with customer needs achieve higher levels of efficiency. The study concludes that enhancing customer integration is essential for improving responsiveness, reducing service delays, and strengthening overall operational performance in CSCs. It recommends investment in customer relationship management systems, real-time feedback mechanisms, and structured customer engagement processes to support evidence-based operational decisions and improve efficiency outcomes.
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