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      Effect of Pre-Contracting Procurement Practices on Supply Chain Performance of Road Authorities in Kakamega County, Kenya

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      African Journal of Empirical Research
      AJER Publishing

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          Abstract

          The study focused on the effect of pre-contracting procurement practices on the supply chain performance of road authorities in Kakamega County, Kenya. Implementing and adopting the procurement Contracting practices in public institutions have continuously faced challenges due to their complexity and lack of resources, which directly impact supply chain performance. Institutions are operating in a competitive business environment with many players, and massive changes are taking place daily to improve their performance. The key to optimal performance is understanding the contributions of pre-contracting procurement practices. The study covered three road authorities with regional offices in Kakamega County: Kenya National Highway Authority (KeNHA), Kenya Urban Road Authority (KURA), and Kenya Rural Roads Authority (KeRRA). The study adopted system theory. The study employed the causal research method to explain the causes and effects of the variables. The target population was 48 respondents, comprised of supply chain officers, road officers, and account officers on the road authorities. A census method was employed in the study. Structured questionnaires were used as data collection instruments. Pilot testing was conducted in Vihiga County. The data was analyzed using descriptive and inferential statistics. The data was presented using tables and figures. A Likert scale was used to determine how strongly variables agreed or disagreed with statements on a five-point scale. Regression analysis shows that pre-contracting procurement practice had no significant effect on supply chain performance in the road authorities of Kakamega County, Kenya (t = 0.605, P > 0.05). This means that road authorities in Kakamega County that effectively implement pre-contracting procurement practices are more likely to have high-performance supply chains. The findings of this objective indicated that pre-contracting had P 0.05 and contributed to 0.8% of the changes in supply chain performance. Therefore, according to the study, the institutions need to re-examine their procurement practices so as to capitalize on areas that improve supply chain performance.

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          Most cited references12

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          Eco-innovation and new product development: understanding the influences on market performance

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            Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain

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              The Effects of Perceived Interdependence on Dealer Attitudes

              Channels research has consistently argued that asymmetric channel relationships are more dysfunctional than those characterized by symmetric interdependence. The authors propose that the degree of both interdependence asymmetry and total interdependence affect the level of interfirm conflict, trust, and commitment. Using survey data from automobile dealers, they demonstrate that, with increasing interdependence asymmetry, the dealer's trust in and commitment to the supplier decline while interfirm conflict increases. In addition, they demonstrate that relationships with greater total interdependence exhibit higher trust, stronger commitment, and lower conflict than relationships with lower interdependence. The effects on conflict are consistent with those predicted by bilateral deterrence theory, and the effects on trust and commitment are in accord with the authors’ bilateral convergence predictions.
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                Author and article information

                Contributors
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                Journal
                African Journal of Empirical Research
                AJERNET
                AJER Publishing
                2709-2607
                July 05 2023
                November 06 2023
                : 4
                : 2
                : 807-814
                Article
                10.51867/ajernet.4.2.82
                20b74857-4234-48ed-84ef-6e7ce34ed5b3
                © 2023

                https://creativecommons.org/licenses/by-nc/4.0

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