Technological innovation has become central to enhancing efficiency, transparency, and accountability in public service delivery, particularly in the sanitation sector of developing countries. This study assessed the effect of technological factors on sustainable sanitation service delivery, drawing insights from Kenya’s Nationwide RealTime Monitoring Information System (RTMIS) under the Ministry of Health. Anchored on the sustainability theory and supported by institutional Theory, stakeholder theory and resource-based view theory, the study adopted a descriptive and explanatory research design combining quantitative and qualitative methods. Data were collected from 394 respondents, including Community Health Promoters, County Health Officers, and RTMIS administrators, through questionnaires and key informant interviews. Descriptive and regression analyses were conducted using SPSS version 27. Findings revealed that technological innovation significantly influenced sustainable sanitation service delivery (β = 0.412, p < 0.05), explaining 31.6% of the variance in service sustainability. Key factors included automation, interoperability, and digital infrastructure, while limited user training and system maintenance constrained effectiveness. The study concludes that technological innovation enhances sustainability when supported by institutional commitment, reliable infrastructure, and user capacity. It recommends policy reforms to strengthen digital infrastructure, regular user training, and dedicated funding for RTMIS maintenance to ensure long-term functionality and data-driven sanitation governance in Kenya.

This study assessed the effect of digital marketing strategies namely Social Media Marketing, Search Engine Optimization (SEO), Email Marketing, and Online Advertising on the growth of SMEs in Machakos County. The study was anchored on the Technology Acceptance Model (TAM), which guided the understanding of both social media marketing and SME growth. The Resource-Based View (RBV) supported the SEO dimension, the Diffusion of Innovation (DOI) theory guided the evaluation of email marketing. A descriptive research design was employed, targeting 18,476 registered SMEs. A stratified random sample of 377 respondents was selected, and 340 valid responses were obtained, representing a 90.2% response rate. Data was collected using structured questionnaires, and the reliability of the instrument was confirmed with Cronbach’s alpha values ranging from 0.762 to 0.808, indicating high internal consistency. Quantitative data was analysed using descriptive statistics, Pearson correlation, and multiple linear regression with the aid of SPSS Version 28. The results revealed that all four digital marketing strategies had a significant and positive effect on SME growth. Social Media Marketing emerged as the strongest predictor (β = 0.412), followed by Online Advertising (β = 0.338), Email Marketing (β = 0.286), and SEO (β = 0.319). The model reported an R² of 0.612 and adjusted R² of 0.608, indicating that the four strategies collectively explained 61.2% of the variance in SME growth. ANOVA results further confirmed the model’s significance (F = 51.327, p < 0.05). The study concluded that digital marketing strategies significantly contributed to SME growth by enhancing customer engagement, brand visibility, and profitability. However, challenges persisted, including digital skill gaps, limited access to analytics tools, and constrained marketing budgets. The study recommended that SMEs invest in digital skills training, utilize affordable analytics platforms, and strengthen partnerships with public and private stakeholders to enhance their digital marketing capacity. Future research should explore the role of emerging digital innovations such as artificial intelligence, mobile commerce, and influencer marketing in advancing SME performance across different counties in Kenya.

County governments in Kenya were established to decentralize authority and enhance service delivery, addressing marginalization under centralized governance. Despite these efforts, challenges such as poor waste management, pollution, water shortages, and deteriorating infrastructure persist, mainly due to inadequate employee performance. This study examined the influence of the electronic human resource information system (E-HRMIS) on employee performance in Wajir County Government, focusing on ERecruitment, E-Training, E-Appraisal, and E-Payroll management. Anchored on the Resource-Based View, Human Capital, and Contingency theories, the study adopted a cross-sectional survey design targeting 4,098 employees, with a stratified random sample of 101 respondents. Quantitative data were collected using structured questionnaires and analyzed using SPSS version 28 through descriptive and inferential statistics, including multiple regression analysis. Findings revealed that all four E-HRMIS components—ERecruitment (r = 0.716, p < 0.01), E-Appraisal (r = 0.627, p < 0.01), E-Payroll (r = 0.597, p < 0.01), and E-Training (r = 0.588, p < 0.01)—had strong, positive, and statistically significant correlations with employee performance. The regression model explained 65.4% of the variance (R² = 0.654), with E-Recruitment (β = 0.421) emerging as the strongest predictor. The study concludes that an integrated E-HRMIS framework enhances productivity, transparency, and accountability in public service delivery. It recommends that Wajir County strengthen E-Recruitment and E-Training systems, improve communication and fairness in E-Appraisal and enhance accessibility in E-Payroll management. Implementing these data-driven strategies can optimize human resource management and elevate service delivery across county governments

The sustainability of solid waste management projects remains a major challenge in many developing countries despite substantial investments in infrastructure and technology. This study examined the effect of stakeholder participation on the sustainability of solid waste management projects in Uasin Gishu County, Kenya. The study was guided by Stakeholder Theory. The study adopted a descriptive research design. The target population consisted of 250 different individuals actively involved or affected by SWMPs in the county. A sample size of 152 respondents was achieved using the Yamane formula. Participants was sampled using stratified sampling. The information was collected using questionnaires, and a pilot study was carried out in Nakuru City to determine the validity and reliability of research instruments. The data was subsequently coded and placed into a computer where the Statistical Package for Social Sciences (SPSS Version 25) was used to analyze them. The data was analyzed using descriptive and inferential statistics. The descriptive statistics was based on frequencies, percentage, mean and standard deviation and inferential statistics were correlation and regression analysis. Analyzed data was presented in form of tables. The results revealed that stakeholder participation has a positive and significant effect on sustainability of Solid Waste Management Projects in Uasin Gishu County, Kenya (β1=0.207, p=0.004). The study concluded that Stakeholder participation is crucial for sustainability of Solid Waste Management (SWM) projects in Uasin Gishu County. It recommends that county governments institutionalize stakeholder participation frameworks that promote regular consultation, transparency, and community engagement in waste management initiatives. The study contributes to policy and practice by providing empirical evidence that stakeholder participation is a critical determinant of sustainability in public environmental projects and underscores the importance of inclusive governance for effective solid waste management in Kenya.

This study examined the effect of communication on the performance of basic education schools in Kenya, focusing on Great News Academy, Malindi. The study adopted a correlational survey design to establish the relationship between managerial communication and school performance. The target population comprised 551 individuals, including administrators, teachers, and support staff, from which a sample of 232 respondents was selected using stratified random sampling to ensure representativeness across categories. Primary data were collected through structured questionnaires, which provided quantitative insights into the effectiveness of communication practices. Data were analyzed using descriptive and inferential statistics, including correlation analysis, to determine the strength and direction of the relationship between communication and school performance. The findings revealed a positive and statistically significant correlation between effective communication and school performance, indicating that open, timely, and clear communication among school managers, teachers, and stakeholders enhances organizational coordination and student outcomes. The study recommended that school management strengthen internal communication channels, promote participatory dialogue, and implement feedback mechanisms to ensure transparency and collaboration. Such measures would foster shared understanding, improve decision-making efficiency, and ultimately enhance overall school performance in basic education institutions.

The Ministry of Cooperative and MSME Development holds a key position in promoting the expansion of small and medium-sized enterprises (SMEs), which are vital to economic growth and job creation. To improve service delivery and support strategic planning, the Ministry has begun incorporating data driven leadership into its operations. However, the impact of this data driven leadership on strategic decision-making has not been thoroughly examined. Despite the government's ongoing push to digitize public services, significant obstacles remain in fully integrating data driven leadership into the Ministry’s strategic planning and decision-making activities. This study aimed to assess the relationship between Data-Driven Leadership and strategic decision making in public sector in Kenya within the Ministry of Cooperatives and MSMEs Development. The study was guided by transformational leadership theory. A descriptive research design guided the study. The target population comprised 300 officials from the Ministry of Cooperative and MSME Development, from which a sample of 120 respondents was selected. Primary data were collected using both structured and semi-structured questionnaires. quantitative data were analyzed using both descriptive and inferential statistical methods. Multiple regression analysis was employed to evaluate the relationship between the independent and dependent variables. The findings indicated that Data-Driven Leadership (β = 0.615, p < 0.05) significantly impact the effectiveness of decision-making. The study concludes that Data-Driven Leadership significantly enhances strategic decision-making by fostering evidence-based insights, efficiency, and organizational adaptability

Effective project implementation remains a persistent challenge in Kenya’s marginalized counties, where limited institutional capacity and weak stakeholder engagement often lead to project delays, cost overruns, and incomplete outcomes. This study examined the effect of technical capacity and stakeholder involvement on project implementation in Garissa County, one of Kenya’s least developed regions. The research was guided by the Resource-Based View (RBV) and Stakeholder Theories, which emphasize internal capabilities and participatory governance as key enablers of project success. A descriptive research design was adopted, targeting 250 project stakeholders drawn from various county departments. Using Yamane’s formula, a sample size of 154 respondents was selected through stratified random sampling. Primary data were collected using structured questionnaires, and reliability was confirmed through Cronbach’s Alpha coefficients exceeding 0.80. Data were analysed using SPSS Version 28, applying both descriptive and inferential statistics, including correlation and multiple regression analysis. The results revealed that both technical capacity (β = 0.247, p < 0.01) and stakeholder involvement (β = 0.209, p = 0.003) had a positive and statistically significant effect on project implementation in Garissa County. The overall model explained 64.1% (R² = 0.641) of the variation in project implementation, confirming the strong predictive power of the selected variables. The study concluded that enhancing technical competencies, providing adequate tools and systems, and promoting participatory stakeholder engagement are critical to improving project efficiency and sustainability in marginalized regions. It recommends that county governments institutionalize continuous capacity-building programs, strengthen stakeholder consultation mechanisms, and integrate participatory monitoring and evaluation frameworks. These measures would enhance accountability, foster ownership, and improve the timely completion and quality of public projects in Kenya’s devolved system.