Adaptive Resource Allocation and Performance of Livestock Value Chain Projects in Northern Frontier Counties of Kenya
DOI:
https://doi.org/10.47941/hrlj.3850Keywords:
Adaptive Resource Allocation, Livestock Value Chain Projects, Northern Frontier CountiesAbstract
Purpose: The general objective of the study was to examine the role of adaptive resource allocation on performance of livestock value chain projects in Northern Frontier Counties of Kenya. This study was anchored on Resource-Based View (RBV) Theory.
Methodology: The research philosophy adopted for this study is pragmatism, and the research design adopted was descriptive and correlational. The study targeted 283 stakeholders drawn from 102 livestock value chain projects implemented across Kenya’s Northern Frontier Counties. Using Slovin’s sample size determination formulae, the research used a sample of 165 respondents. Stratified sampling was the most appropriate technique for this study. The study utilized a combination of questionnaires and interviews as research instruments to collect comprehensive data. A pilot study was conducted on 16 participants to evaluate the feasibility, reliability, and validity of the research instruments. The study collected both qualitative and quantitative data. Qualitative data from interviews were analyzed using thematic analysis while quantitative data analysis was conducted using both descriptive and inferential statistical methods with the aid of the SPSS Version 27. Descriptive statistics were used to summarize respondents’ demographic details and their responses to various aspects of the study variables. Pearson’s correlation coefficient and multiple regression analysis were used to assess the relationships among the study variables.
Findings: The study concluded that adaptive resource allocation positively and significantly influences performance of livestock value chain projects in Northern Frontier Counties of Kenya.
Unique Contributions to Theory, Policy, and Practice: Based on the findings, the study recommends that the management of livestock value chain projects in Kenya should adopt a flexible and data-driven adaptive resource allocation approach that allows timely redistribution of financial, human, and material resources in response to changing project needs and environmental conditions.
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Copyright (c) 2026 Ali Abdullahi Gira, Dr. Samson Nyang’au Paul, Dr. Annastacia K. Musembi, Dr. Nyaribo Wycliffe Misuko
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