Browsing by Author "Wakahia, Samuel Kairigo"

Now showing 1 - 3 of 3

Big Data Analytics and Electronic Resource Usage in Academic Libraries: A Case Study of a Private University in Kenya
(European Scientific Journal, 2019-05-01) Wakahia, Samuel Kairigo
The purpose of the study was to apply Big Data analytics as a tool for evaluating electronic resources usage in the academic library setup in Kenya with reference to the library of one private university. Log files of postgraduate students were mined from the server where the offsite access platform (ezproxy) has been installed. Descriptive statistical techniques such as mean, standard deviation and percentages were computed. Data was transferred to the Statistical Package for Social Sciences (SPSS) software was aided in the analysis. Results revealed that in terms of usage intensity, total URL count was 2,352, the highest user made 283 downloads and the mean URL count was 49 downloads. Further findings revealed that no user utilized more than 5 databases over a period of one year. The mean usage intensity score for respondents who were trained or orientated on e-resource usage was above average at 69.0 while those who had not received training were below average at 29.8. It was concluded that big data analytics is a necessary and powerful tool for investigating electronic resources seeking and usage trends and patterns within Kenyan university libraries. Through big data analysis and data mining, usage patterns and trends such as usage intensity that might not have accurately been revealed through other tools are unearthed. Big data analytics has revealed user preferences and intensity of utilization of various databases and helped in detection of redundant databases. From the usage patterns, it was clear that the level of utilization of the University library’s e-resource platform was very low. Most of the databases accessible through the platform were redundant. Further, only two databases namely e-book central and ebscohost were the most popular among users while the rest were barely being utilized if at all. For most students, just one or two databases were sufficient in meeting their research needs. An integrated data analytics model for investigating university library’s e-resources usage is proposed.
Demystifying workplace emerging trends in the Kenyan public service: Perceptions from Kibabii University
(International Journal of Emerging Trends in Social Sciences, 2025-06-17) Wakahia, Samuel Kairigo; Mohochi, Ernest Sangai
This study explored public service employees' awareness and adoption of emerging trends in task performance within the Kenyan public service. A descriptive, cross-sectional survey was conducted with 50 staff responding to an online questionnaire. Quantitative data was analyzed using SPSS, while qualitative data underwent thematic analysis. Findings showed that 96% of respondents recognized "remote working" as the most familiar trend, followed by "hybrid working" and "Artificial Intelligence" at 88%. "Micro Learning" (66%) and the "gig economy" (56%) had lower recognition. Despite this, 72% confirmed the integration of "remote working" and "Artificial Intelligence" into service delivery, with "hybrid working" and "Micro Learning" also gaining traction. "Gig economy" adoption remained minimal, while "hybrid working" was the most widely implemented (62%).Thematic analysis identified four key effects of trend integration: Efficiency and Productivity, Flexibility and Work-Life Balance, Inclusion and Diversity, and Challenges and Concerns. The study concluded that while awareness and adoption of emerging trends are significant, challenges such as infrastructure, training, policy reforms, and organizational adaptability persist. Future research could explore employee attitudes toward job security amid these transitions
Effective Communication for Inclusivity in Working towards the Attainment of Beta and Vision 2030.
(International Journal of Humanities and Social Studies, 2025-11-30) Wakahia, Samuel Kairigo; Mohochi, Ernest Sangai
The purpose of this study was to explore the effectiveness of communication as an inclusivity strategy for achieving Beta and Vision 2030. The objectives were to assess the level of awareness of the Beta and Vision 2030 agendas, to analyse the uptake of the Beta and Vision 2030 strategies among Kenyan Citizens, and to propose better communication modalities that can enhance and bring on board citizen participation. A descriptive, cross-sectional survey was adopted for this study. An online questionnaire was used to collect data through a selected sample of respondents. In total, 200 respondents participated in the survey. Quantitative aspects of the data were analysed using SPSS, while qualitative data were subjected to thematic analysis. The findings demonstrate that while communication efforts have achieved broad awareness of Vision 2030 and, to a lesser extent, the BETA initiative, they fall short in deepening public understanding and fostering a sense of inclusive participation. While communication has raised awareness, it has not translated into widespread access, participation, or engagement with the BETA and Vision 2030 strategies. Citizen participation in BETA and Vision 2030 remains constrained by several communication barriers, including inadequate outreach, mistrust, low literacy, and limited access to inclusive platforms. The findings emphasise that achieving Beta and Vision 2030 requires a communication framework that is inclusive, adaptable, and responsive to the needs of all individuals, ultimately leading to sustainable and equitable development.