Journal of Science, Innovation and Creativity

The Influence of Guest Perception in the Selection of Air Bed and Breakfast in Nakuru County

2025-02-04T06:50:42+00:00

This study was conducted to investigate the influence of guest perception in the selection of Airbnb in Nakuru County, Kenya. This study was anchored on expectancy disconfirmation theory. The study employed a cross-sectional descriptive research design and adopted purposive random sampling to gather data from a sample size and use of 104 respondents, from the questionnaires that were found valid. These respondents were the people who frequently patronize Airbnb. According to the study results, there is a linear relationship between guest perception and choice of Airbnb and it was examined using the regression analysis. The model indicated that guest perception could explain about 38.4 % of the variance in the choice of Airbnb. The correlation results showed that there is the existence of a statistically linear positive relationship between guest perception and choice of Airbnb (r=0.239, p=<0.05). This implies that a significant majority of the respondents were influenced by guest perception to select Airbnb, authentic experience, service quality, and guest satisfaction had a bigger influence on the development of guest perception. Guest perception relevancy in hospitality management evolves from the recognition that, customer sentiments are vital when it comes to expenditures on services rendered. Quality has been used as the critical key determinant that influences hospitality industry performance, but basic elements remained the same or as they were during the traditional times

Factors Influencing the Successful Implementation of eHealth in Healthcare Facilities in Developing Countries: A Scoping Review

2025-02-04T07:13:36+00:00

eHealth is the leveraging of Information and Communication Technologies (ICT) in health. Its use in complementing health services has risen substantially in the previous 20 years. The study explored the factors that influence the implementation of eHealth in healthcare delivery in developing countries. Three scientific bibliographical databases: PubMed, EBSCO Host, and Google Scholar were reviewed. Titles and abstracts were assessed using predefined inclusion and exclusion criteria. An exploratory study was done to assess the factors (facilitators and barriers) influencing the successful implementation of eHealth in developing countries. The searches yielded 11,001 resources, with 33 articles meeting the inclusion criterion of being in English and describing eHealth implementation in developing countries in the period January 2016 to December 2023. These were included in the study and thoroughly analyzed. Some key factors that influence the successful implementation of eHealth services were presented with computer literacy having the highest frequency in eHealth implementation. It is worth noting that barriers are factors that have a negative impact on implementation; nevertheless, by addressing barriers early on, they can be viewed as facilitators.

Navigating the Interoperability Landscape of Electronic Medical Record Systems in Developing Countries: A Narrative Literature Review

2025-02-04T07:23:10+00:00

Electronic medical records (EMRs) have transformed healthcare by digitizing patient data, improving access to information, and reducing medical errors. However, the lack of interoperability between different EMR systems remains a significant challenge. This paper employs a narrative review approach to examine Electronic Medical Record systems in Developing countries with a focus on their interoperability capabilities as well as the opportunities and challenges they encounter. The findings indicate that developing countries have shown varying levels of success in implementing Electronic Medical Records (EMRs) and ensuring interoperability. While some nations have made significant strides through national frameworks and standardized systems, others face challenges due to fragmented systems, inadequate policies, and limited infrastructure. To achieve full interoperability and improve healthcare outcomes, these countries need to develop and implement robust policies, adopt standards, invest in technology, and foster national coordination.

Effect of System Response Time on Mobile Learning User Satisfaction at Universities in Nakuru County, Kenya

2025-02-04T07:39:10+00:00

System Response Time has been increasingly recognized as a
significant quality dimension in determining the usability of
mobile applications. Learning institutions in Kenya especially,
universities have implemented these scientific innovations as
alternative approaches to teaching and learning. The uptake
was accelerated more with the advent of the coronavirus
pandemic which saw the education sector close down. As a way
of having their students back to class, the majority of the
Universities in Nakuru County adopted online technologies. It
is from this backdrop that the study sought to evaluate the effect
of system response time on user satisfaction in the ICT
department in Nakuru County in Kenya. To serve this purpose,
survey questionnaires were issued to a sample of university
students in the ICT department in Nakuru County in Kenya.
The study revealed that system response time was an
insignificant positive influencer of user satisfaction. The
findings from this study contribute to the body of knowledge by
coming up with several usability guidelines as a significant
quality dimension for the design of usable applications in
mobile learning that can help improve user satisfaction and
reductions in training costs. The study recommends that given
the kind of empirical evidence from the university consider
having a system that is designed with quicker response time
much as it is an insignificant predictor of satisfaction among the
users.

Determinants of e-Health Routinisation in Public Healthcare Facilities in Kenya

2025-02-04T07:52:42+00:00

The integration of e-Health into health has the potential to transform healthcare service delivery by increasing quality. Quality service delivery has the following components: safety, timeliness, effectiveness, efficiency, patient-centeredness, and equity. However, the uptake and routinisation of these systems remain a challenge, particularly in developing countries. The paper adopted a narrative literature review approach to explore determinants that influence e-Health routinisation in public healthcare facilities. The search was conducted across multiple academic databases, including PubMed, Google Scholar, and JSTOR, using the key terms “e-Health,” “routinisation,” “Kenya,” “health facilities,” “health information systems,” and “digital health adoption.” The study peer-reviewed articles, reports, and relevant policy documents published between 2014 and 2023. The findings show that organisational support, user training, technological infrastructure, and the involvement of stakeholders in design as critical to the successful implementation of e-Health and its routinisation. Challenges such as inadequate infrastructure, user involvement during implementation, and resistance to change hinder uptake and widespread use of routinisation. If these challenges are adequately addressed, uptake of e-Health routinisation will easily be achieved.

Effects of Rainfall Variability on Maize Production in Migori County, Kenya

2025-02-04T08:10:53+00:00

Maize is the main staple food crop in Kenya and is of vital concern to agricultural policy decisions, food security, and the overall development of the sector and the economy. It is also the dominant staple food crop in Migori-County. However, there has been a declining trend in maize production among farmers in the study area threatening household food security. This study was conducted in Migori County using cross sectional survey research design. A sample size of 384 households was selected through stratified and systematic sampling techniques though just 310 households accepted to be interviewed. Data was collected using a structured questionnaire. Validated secondary weather data for the period 2011-2023 was obtained from the Migori Meteorological Station. The collected data was entered into SPSS software, version 20, and analysed using both descriptive and inferential statistical methods. The results indicated that 60% of households have an adequate food supply, while 40% face food shortages. Further, there was a strong positive and significant relationship between maize production (yield) and annual weather conditions from 2018 to 2023 (r = 0.845, p = 0.05). This indicates that changes in weather patterns, such as rainfall and temperature, had a significant influence on maize yields during the study period. Hence, farmers should be encouraged to use income from cash crops to purchase food stocks and engage in non-farm activities as alternative income sources to mitigate the effects of rainfall variability and climate change on food security.

Chatbot Adoption Framework for Real-Time Customer Care Support

2025-02-04T08:24:32+00:00

Computer programs or software that communicate with humans using natural language are referred to as chatbot applications. To provide customer care support services, there are no wellformulated guidelines for the implementation of artificial intelligence chatbots in Kenyan telecom companies. This study proposes an adoption framework for deploying artificially intelligent chatbots in Kenyan telecom companies. This was accomplished by determining the current level of the installation of chatbot apps in Kenya and identifying the primary metrics that might be used as indications for the dissemination of chatbots. A review of the earlier frameworks and models on technology adoption was conducted to determine the relevant metrics. A combination of research approaches was used in this study, with questionnaires and interview schedules being used to obtain quantitative and qualitative data, respectively. To examine qualitative data, content analysis was what was used. Using tables and charts, descriptive analysis was performed on the quantitative data, and the findings were presented. AI specialists working for Safaricom PLC and the Communications Authority of Kenya were the ideal candidates for this position. From the two different telecommunications companies, a sample was selected for the research study utilizing the Delphi approach. In this approach, the researcher reaches out to experts in the area of the study to gain indepth knowledge of the issue being investigated because they serve as a guide on aspects to consider before using AI chatbots for customer support services provision. The results showed that chatbot applications are randomly implemented, the telecom firms are ready to adopt AI chatbots for customer service support. The adoption of the framework will help the telecom industry accept a reliable chatbot application which will in turn provide faster, accurate, and reliable service support to customers thus saving time and cutting costs. The framework that was built has the potential to serve as a guiding principle in the process of implementing chatbot technology within the telecom business settings. Further research should be done on the use of AI chatbots in other sectors like healthcare and agriculture.

Effects of Small Holder Maize Farmer Associations on Sustainable Maize Farming in Kitui County, Kenya

2025-02-04T08:41:33+00:00

The purpose of this study was to determine the effects of Small Holder Maize Farmer Associations on structural transformation for sustainable maize farming in Kitui County, Kenya. The study used sample size determination formula for finite populations to get the sample size. Probability and non-probability sampling methods were used to obtain the study sample. Purposive sampling was administered to pick a sample of 10-small holder maize farmers and 5-agricultural officers as key informants. Stratified random sampling was utilized to select the 237 subjects that participated in the study. Data was collected using questionnaires and interview guides. Quantitative data was validated, edited, coded, and analysed using Statistical Package for Social Sciences (SPSS) Version 21 and further presented using figures and tables. The Chi Square test was used to determine the significance of the association between the variables. Qualitative data was edited, coded, and reported using descriptive narratives. The study established a statistically significant association between Small Holder Maize Farmer Associations and sustainable maize farming (≤ 0.05. Qualitative findings from the interview further revealed that there are no farmer groups and cooperatives for farmers.