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Item
Business Model Innovation Strategies and Performance of Manufacturing Firms Listed on Nairobi Securities Exchange in Kenya
(Kenyatta University, 2025-11) Maina, James Rugami
Globally, manufacturing firms form a vital part of national economic infrastructure, contributing to employment, revenue generation and overall economic development. Despite their significance to the economy, most manufacturing firms in Kenya have recently experienced decline in performance, marked by low profit margins and stagnating market share due to increased competition from imports. This study investigated the effect of business model innovation strategies on performance of manufacturing firms listed on the Nairobi Securities Exchange in Kenya. Specifically, it examined the effects of customer value proposition innovation, distribution channel innovation, blue ocean strategy and strategic partnership innovation on firm performance. Additionally, the study explored the mediating role of competitive advantage and the moderating effect of the regulatory framework on the relationship between business model innovation strategies and performance of listed manufacturing firms. The study is anchored on Porter’s value chain model, resource-based view theory, dynamic capabilities theory, diffusion of innovation theory and the balanced scorecard model. A positivist research paradigm and an explanatory research design that was cross sectional in nature adopted. The target population consisted of 95 functional heads of departments drawn from 19 listed manufacturing firms. The data collection instrument was a semi-structured questionnaire with closed and open-ended questions. A pilot study was conducted to test the validity and reliability of the instrument, achieving above Cronbach alpha index of 0.7. The instrument was also subjected to face, construct, and content validity. The response rate was 88%. Quantitative data was analyzed using descriptive and inferential statistics. Descriptive analysis involved the use of mean and standard deviation. Results of data analysis are presented in tables and figures. Qualitative data was analyzed using content analysis. The study found that customer value proposition innovation, distribution channel innovation, blue ocean and strategic partnership innovation strategies significantly and positively affected firm performance. Competitive advantage was found to partially mediate the relationship between business model innovation strategies and firm performance. Furthermore, the regulatory framework significantly moderates the relationship between business model innovation strategies and firm performance highlighting the importance of a supportive regulatory environment in enhancing the effectiveness of innovation strategies. The study findings conclude that managers of the manufacturing firms should prioritize business model innovation strategies to improve performance. The study recommends that through strategic collaborations, managers can work with universities and other educational institutions to include business model innovation studies in their syllabus. The policymakers should foster a conducive regulatory framework to support innovative efforts and facilitate ease of doing business to encourage more investments in manufacturing. The study recommends that top management of manufacturing firms invest in enhancing customer value propositions, optimizing distribution channels, adopting blue ocean strategies, and forming strategic partnerships. More emphases and resources should be devoted to distribution channel innovation strategy to ensure availability of quality products when, where and how customers need them. Future research should explore the effect of other business model innovation strategies and consider the role of additional mediating and moderating factors in different contexts, for example the informal manufacturing sector.
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Fiscal Decentralization and Healthcare Service Delivery in Turkana County, Kenya
(Kenyatta University, 2025-10) Sirite, James Kinjanzi
Turkana County continues to face significant challenges in healthcare service delivery resulting in high rates of preventable diseases, maternal and infant mortality and limited access to essential healthcare facilities and practitioners. Despite evidence showing improvements in recent years, the healthcare indicators in Turkana County portrayed high disparities compared to national average. This study investigated how fiscal decentralization affected healthcare service delivery in Turkana County, Kenya. The specific objectives were to establish the effects of revenue decentralization, expenditure decentralization and technical support structures on healthcare service delivery in Turkana County. In addition, the study examined the effect of policy framework on the relationship between fiscal decentralization and healthcare service delivery in Turkana County. The study was guided by fiscal decentralization, community empowerment and resource-based view theories. The study adopted interpretivism as its research philosophy. It employed a descriptive survey design and adopted census sampling technique. The population of the study comprised of 271 individuals drawn from County department of finance and economic planning, County department of health and sanitation services, heads of departments in the Sub-County hospitals, Turkana County referral hospital board-lodwar, chairpersons of Sub-Counties (Turkana North, Kibish, Turkana West, Loima, Turkana Central, Turkana South and Turkana East) hospital committees, co-ordinators for community health volunteers (CHVs) and chairpersons of the health centres and dispensaries committees. The study used semi-structured questionnaires and interview guide in data collection. Qualitative data was analysed using content analysis, while quantitative data was analysed using descriptive, inferential and multiple regression modelling. Results indicated that revenue decentralization, expenditure decentralization, technical support structures had significant effects on healthcare service delivery in Turkana County. Additionally, Policy framework moderated the positive relationship between fiscal decentralization and healthcare service delivery. However, health communication system under technical support structures, depicted a negative effect on healthcare accessibility and affordability. As such the study recommends a targeted support on policy framework as it had the potential to accelerate the positive effect of fiscal decentralization on healthcare service delivery in Turkana County.
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Electoral Process and National Security in the Informal Settlements of Nairobi City County, Kenya from 2007-2022
(Kenyatta University, 2025-12) Kilatya, Jairus Mutinda
One tool that governments utilize to affect income distribution and enhance household wellbeing is public expenditure. The United Nations emphasized in 2005 that governments would need to increase public spending in the areas of agriculture, health, infrastructure, and education if the Millennium Development Goal targets were to be realized. This was stressed even more in 2015 under the United Nations 2030 Agenda for Sustainable Development. Between 2006 and 2022, public spending on health, infrastructure, agriculture, and education grew by almost 25 per cent of total national spending in Kenya. The Constitutional mandate that allocates 15 per cent of national revenue to county governments and one-half percent to marginalized areas has reinforced agenda. Income inequality has remained high at an average Gini coefficient of 0.386 since 2015/16. In 2021, the Gini coefficient was 0.389. Compared to the 2030 Sustainable Development Goal of eradicating poverty, the projected number of impoverished individuals in 2021 was 38.6 per cent, in the field of education, the enrollment rates for primary and secondary schools were 47.8 per cent and 88.4 per cent, respectively, in 2015, falling short of the Sustainable Development Goal objective of 100 per cent target. In the health sector despite the Sustainable Development Goals' aim of fewer than 25 deaths per 1,000 live births by 2030, the maternal mortality rate remained high in 2022, with 41 deaths per 1,000 live births. Kenya will not be able to meet the Sustainable Development Goals by 2030, which include poverty eradication, healthy living and equitable distribution of income within the nation, if these trends continue. An increase in public expenditure on health and education without corresponding effects on household welfare and income inequalities has raised concerns among policymakers. Thus, the goal of the study was to ascertain how public spending affects household welfare in Kenya, as well as how it varies depending on the region's economic bloc. It also aimed to assess the effect of public spending on income distribution in Kenya. The study used a non-experimental research approach using data from the Basic Report on Well-Being, which is an extract from the Kenya Integrated Household Budget Survey for the 2015–16 year. Public expenditure data at the county levels covering all the 47 counties for the period 2014 to 2016 were used in the analysis, taking the county as the unit of study. The study used Ordinary Least Squares method in analyzing objectives one and three while Seemingly Unrelated Regression technique was used to estimate consumption expenditure share equations. The study estimated Ordinary Least Squares and found empirical support that a 1 per cent increase in government spending on agriculture would enhance household welfare by 0.1 per cent and 0.3 per cent, respectively, with regard to food and non-food household consumption. In addition, the study found that household welfare would improve by 0.18 per cent in terms of aggregate household consumption when the government increases public expenditure on agriculture by one percent. However, the study established that public spending on education had a positive impact on household welfare in terms of food and total household spending, whereas public spending on health per capita only had a positive impact on household spending on nonfood items. A 1 per cent rise in government expenditure on agriculture per capita lowers income inequality in the first and second quintiles by 0.7 and 0.5 percentage points, respectively, according to the study's estimation of the Seemingly Unrelated Regression model. This implies that governmental expenditure on agriculture per capita has a favorable effect on income distribution by aiding the impoverished. The study further found that income distribution in the lowest quintiles would improve by 0.2 percentage points with a 1 per cent increase in public spending on infrastructure per capita. On the other hand, the study did not find any empirical evidence that public expenditure on health per capita have an effect on income distribution in all the income groups. Regionally, according to the study, increased public funding for infrastructure, health care, and agriculture is necessary for the Coast, South Eastern Kenya, Frontier Counties Development Council, Mount Kenya, and Aberdare economic blocs to achieve better welfare status for their population. The study concluded that both the national and county governments should increase funding for infrastructure, education, and agriculture in order for the government to improve household welfare status and income distribution among Kenyan citizens, as these specific expenditures are necessary.
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Public Expenditure, Household Welfare and Income Distribution in Kenya
(Kenyatta University, 2025-11) Mala, Hanningtone Okendo
One tool that governments utilize to affect income distribution and enhance household wellbeing is public expenditure. The United Nations emphasized in 2005 that governments would need to increase public spending in the areas of agriculture, health, infrastructure, and education if the Millennium Development Goal targets were to be realized. This was stressed even more in 2015 under the United Nations 2030 Agenda for Sustainable Development. Between 2006 and 2022, public spending on health, infrastructure, agriculture, and education grew by almost 25 per cent of total national spending in Kenya. The Constitutional mandate that allocates 15 per cent of national revenue to county governments and one-half percent to marginalized areas has reinforced agenda. Income inequality has remained high at an average Gini coefficient of 0.386 since 2015/16. In 2021, the Gini coefficient was 0.389. Compared to the 2030 Sustainable Development Goal of eradicating poverty, the projected number of impoverished individuals in 2021 was 38.6 per cent, in the field of education, the enrollment rates for primary and secondary schools were 47.8 per cent and 88.4 per cent, respectively, in 2015, falling short of the Sustainable Development Goal objective of 100 per cent target. In the health sector despite the Sustainable Development Goals' aim of fewer than 25 deaths per 1,000 live births by 2030, the maternal mortality rate remained high in 2022, with 41 deaths per 1,000 live births. Kenya will not be able to meet the Sustainable Development Goals by 2030, which include poverty eradication, healthy living and equitable distribution of income within the nation, if these trends continue. An increase in public expenditure on health and education without corresponding effects on household welfare and income inequalities has raised concerns among policymakers. Thus, the goal of the study was to ascertain how public spending affects household welfare in Kenya, as well as how it varies depending on the region's economic bloc. It also aimed to assess the effect of public spending on income distribution in Kenya. The study used a non-experimental research approach using data from the Basic Report on Well-Being, which is an extract from the Kenya Integrated Household Budget Survey for the 2015–16 year. Public expenditure data at the county levels covering all the 47 counties for the period 2014 to 2016 were used in the analysis, taking the county as the unit of study. The study used Ordinary Least Squares method in analyzing objectives one and three while Seemingly Unrelated Regression technique was used to estimate consumption expenditure share equations. The study estimated Ordinary Least Squares and found empirical support that a 1 per cent increase in government spending on agriculture would enhance household welfare by 0.1 per cent and 0.3 per cent, respectively, with regard to food and non-food household consumption. In addition, the study found that household welfare would improve by 0.18 per cent in terms of aggregate household consumption when the government increases public expenditure on agriculture by one percent. However, the study established that public spending on education had a positive impact on household welfare in terms of food and total household spending, whereas public spending on health per capita only had a positive impact on household spending on nonfood items. A 1 per cent rise in government expenditure on agriculture per capita lowers income inequality in the first and second quintiles by 0.7 and 0.5 percentage points, respectively, according to the study's estimation of the Seemingly Unrelated Regression model. This implies that governmental expenditure on agriculture per capita has a favorable effect on income distribution by aiding the impoverished. The study further found that income distribution in the lowest quintiles would improve by 0.2 percentage points with a 1 per cent increase in public spending on infrastructure per capita. On the other hand, the study did not find any empirical evidence that public expenditure on health per capita have an effect on income distribution in all the income groups. Regionally, according to the study, increased public funding for infrastructure, health care, and agriculture is necessary for the Coast, South Eastern Kenya, Frontier Counties Development Council, Mount Kenya, and Aberdare economic blocs to achieve better welfare status for their population. The study concluded that both the national and county governments should increase funding for infrastructure, education, and agriculture in order for the government to improve household welfare status and income distribution among Kenyan citizens, as these specific expenditures are necessary.
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Systematics, Ethnobotany and Conservation of the Genus Kalanchoe Adans. (Crassulaceae) in Kenya
(Kenyatta University, 2025-12) Evusa, Gertrude Vwononi
Kalanchoe Adans. (Crassulaceae) comprises about 175 succulent species, native to tropical Africa and Madagascar with 19 occurring in Kenya. Most (68.4%) remain unassessed for conservation status and their taxonomy and phylogeny are unclear due to morphological variation, hybridisation, polyploidy and overlapping distribution. Although used as ornamentals and medicinal plants in many parts of Africa, the uses of Kalanchoe species in East Africa have not been systematically documented. The objectives of this study were to clarify species boundaries within the K. lateritia and K. nyikae complexes, determine their phylogenetic relationships using molecular and morphometric analyses, document the traditional uses and assess conservation status. Morphological data obtained from herbarium specimens was analysed using PAST programs while molecular studies utilized DNA extraction from leaf samples using EZNA kits, sequencing of the data through the Angiosperm 353 probe kit, and analysing it under the maximum likelihood criterion. Ethnobotanical data was collected using interviews and semi structured questionnaires in six flora regions. Conservation status was evaluated based on field observations of threats, Area of Occupancy (AOO), and Extent of Occurrence (EOO) through Geospatial Conservation Assessment Tool (GeoCAT). Taxonomic findings indicated K. nyikae as monophyletic supporting its subspecies, K. nyikae subsp. auriculata as valid rather than a hybrid. Conversely, K. lateritia varieties revision was highlighted, combination of K. lateritia var. lateritia and K. lateritia var. prostrata into one variety/subspecies and retention of K. lateritia var. pseudolateritia as a separate variety/subspecies. Phylogenetic analyses resolved two main clades, confirming Kalanchoe as broadly monophyletic, and K. subg. Kitchingia and K. subg. Bryophyllum polyphyletic. Kalanchoe exhibited uncertain relationships among six subclades. The study revealed that Kalanchoe species in Kenya are mainly used as ornamentals and in traditional medicine for treating injuries, wounds, gastrointestinal problems and infections in humans and poultry. Kalanchoe prittwitzii, K. densiflora and K. lateritia were most cited. Conservation assessments categorised three species as critically endangered (CR), 12 as Endangered (EN) and four as Vulnerable (VU), under IUCN (2022) criteria. A comprehensive evaluation upgraded K. lateritia and K. nyikae sensu stricto to EN from LC due to their low AOO resulting from severely fragmented or few localities and ongoing decline–criterion 2ab (iii) and significant habitat threats. The threats include habitat loss, anthropogenic activities and prolonged drought and floods. Findings from this study emphasize the need for clear species delimitation to support identification, management, and sustainable utilisation. Conservation efforts should focus on raising awareness, sustainable use, and inclusion in in-situ and ex-situ conservation initiatives. Taxonomic revision, further research using other molecular tools and broader sampling to refine phylogenetic and taxonomic relationships, phytochemical studies of the medicinal species and IUCN red list update are recommended