KABU Repository (Kabarak University)
Not a member yet
1292 research outputs found
Sort by
Relationship between Implementation of Safety Standards and Guidelines for Physical Infrastructure, and Student Safety in Public Mixed Boarding Secondary Schools in Nakuru County, Kenya
Get PDFThe study aimed at finding out the relationship between implementation of Safety Standards and Guidelines for
Physical Infrastructure in public mixed boarding secondary schools in Nakuru County, Kenya. The study was
guided by Invitational Theory by Purkey and Schmidt and Systems Theory by Von Bertalanffy. The target
population was 16 principals, 18 deputy principals and 2130 Form 4 students drawn from all 16 public mixed
boarding secondary schools in the county. The study adopted a descriptive survey design. The sample size
comprised 327 Form 4 students. A census approach was used. . The population of the study was clustered into 9
sub counties. Stratified sampling technique was used to categorize the population into three strata namely
principals, deputy principals and Form 4 students. The principals and deputy principals were selected using
purposive sampling technique, while the students were selected using simple random sampling technique.
Data from students was collected by use of questionnaires, while that from principals and deputy principals was
collected using interview schedules. The researcher also used observation checklist to determine the level of
implementation of the selected Safety Standards Guidelines in the schools. Prior to use, the instruments were
subjected to validity checks with the help of university supervisors and reliability tests guided by the 0.7
Cronbach’s Alpha Reliability Coefficient level. Data analysis was done using tools in the SPSS version 22. Analysis
involved computation of descriptive statistics: frequencies and percentages, and inferential statistics: Pearson
Correlation and Regression coefficients. The data was then presented in tables and textually
EFFECTS OF MOBILE APPLICATION SECURITY STRATEGIES ON PRIVACY INVASION AMONG MOBILE SHOP OPERATORS IN NAKURU EAST SUB-COUNTY, KENYA
Get PDFPrivacy invasion is an offence perpetrated by availability, access, and use of advanced
mobile devices when they land in the wrong hands of people who have the intention of
infringing into the space of either individuals or organizations. There have been many
incidences of infringement on people‟s privacy by exposing their personal lives to third
parties and the general public, a factor which is associated with detrimental effects. The
study sought to integrate mobile application security strategies as a measure towards
curbing privacy invasion. The general objective was to evaluate the effects of mobile
application security strategies on privacy invasion among mobile shop operators in
Nakuru East Sub-County, Kenya. The specific objectives were; to examine data
encryption, advanced software testing techniques, risk analysis, and privacy settings on
privacy invasion among mobile shop operators in Nakuru East Sub-County, Kenya. The
study was guided by the technology acceptance model, restricted access or limited
control theory of privacy, control theory of privacy, and seclusion theory of privacy. The
study adopted a cross-sectional research design, and was carried out in Nakuru East SubCounty,
Kenya.
The
units
of
observation
were
mobile
shops
within
Nakuru
town,
while
the
units of analysis were operators of mobile shops. According to Nakuru East SubCounty
Business Register (20 9), there are 221 mobile shops within Nakuru town. The
researcher used Purposive sampling method to select respondents (Operators) from each
of the 221 mobile shops. Nassiuma‟s (2000) formula was used to determine the sample
size of 70 operators of mobile shops. The study used structured questionnaires to
facilitate data collection. The pilot study was conducted in Eldoret town‟s Central
Business District where questionnaires were issued out to 7 selected operators of mobile
shops. The collected data was analyzed with the aid of the Statistical Package for Social
Sciences. Descriptive statistics encompassing frequencies, percentages, means and
standard deviations were used in the analysis. In addition, inferential statistics such as
correlation and multiple regression analysis were used. The results of the study revealed
that there was a negative and statistically significant correlation between data encryption
and privacy invasion of the mobile users in Nakuru town. The results of the study further
revealed that there was a negative and statistically significant correlation between
advanced software testing techniques and privacy invasion. The results of the correlation
analysis further indicated that better risk analysis reduces cases of privacy invasion of
mobile users in Nakuru town. The results of the study revealed that a strong negative
correlation existed between Privacy setting and privacy invasion. From the findings the
study recommended that mobile shop operators within Nakuru East Sub-County should
adopt data encryption security strategy because it allows protection of data that they do
not want anyone else to have access to. The study further recommended that mobile shop
operators should adopt advanced software testing techniques because they provide
stakeholders with information about the quality of the software product or service under
tes
Strategic Innovation and Growth of Public Universities in Kenya
Get PDFhe Kenya’s education sector is a dynamic one and highly competitive with the increase of both
private and public universities. Public universities have been relying on capitation fund and own source
revenue. Many of them are getting government sponsored programs allocations lower than their declared
capacity and they have been unable to get adequate numbers of students for self sponsored programs. With this
precarious scenario the management of public universities are realizing the need for strategic innovations on
own source revenue. This study aimed at finding the relationship between strategic innovation and growth of
public universities in Kenya. The specific objectives of the study were to establish the influence of marketing
innovation and product innovation on growth of public universities in Kenya. The study was based on
descriptive research design. Census survey was used to select all public universities and a purposive sampling
was used to select the Finance officer and Registrar Administration, of all public universities in Kenya. Data
was analyzed using descriptive and inferential statistics. Study findings reveal that Marketing Innovation (β
=0.627, p < 0.05), and product innovation (β = 0.334, p < 0.05) had significant effect on growth of public
universities. It was established and concluded that there existed a positive relationship between strategic
innovation and growth of public universities in Kenya. The researcher recommends that there is the need for
university management to adopt strategic innovations in order to enhance growth of their institutions and their
long term survival
Comparative Analysis of Machine Learning Classification Techniques for Neonatal Postprandial Hypoglycemia Symptoms Screening.
Get PDFFULL TEXTNeonatal postprandial hypoglycaemia occurs when blood sugar level (BSL) is too low to cause
symptoms of impaired brain function among new-born babies. Machine learning algorithms such as Neural
Networks, SVM, Naive Bayes, Decision Tree are widely used for detection and classification process of the
disease. The Objective of this study is to design a model which shall compare the performance of three
machine learning classification algorithms namely Decision Tree, SVM and Naive Bayes to detect diabetes at
an early stage. The performances of all the three algorithms are evaluated on various measures such as
accuracy, Recall, Precision and F-Measure. Classified instances are used to measure Accuracy. The results
show that Naive Bayes outperforms with the highest accuracy of 86.40% comparatively other algorithms.
This work forms basis for our next step which is utilizing Naïve Bayes Algorithm and Artificial Neural
Network (ANN) for Type 1 Diabetes disease treatment
EMPIRICAL EXAMINATION OF APPROPRIATENESS OF FINANCIAL STATEMENT ANALYSIS MODELS IN INFLUENCING SHAREHOLDER WEALTH OF LISTED NON FINANCIAL FIRMS IN KENYA
Get PDFThe market share price is considered by investors to be an observable and real measure of shareholder wealth, despite possibility of mistakes by financial markets in assessment of shareholder wealth. Investing public and market analysts conduct financial statement analysis to accurately measure performance of firms. Due to several users of financial statements a single indicator of performance may not influence share prices. Financial statement users expect fraud and mismanagement issues to be detected by external auditors. Yet to the contrary, corporate irregularities at times erupt immediately unqualified audit reports are released. Unqualified audit reports and market price of shares relied upon by investors seem to be of minimal use as indicators of shareholder wealth. There is need to establish whether change in market price of shares is truly influenced by financial results derived from performance indicators such as profitability, liquidity, operational efficiency, leverage, and market performance ratios. The study objectives were to evaluate appropriateness of profitability, liquidity, operational efficiency, leverage, and market performance ratio models in influencing shareholder wealth of Nairobi Security Exchange (NSE) listed non-financial firms. The study derived support from stakeholder theory, stewardship theory and positive accounting theory. Correlational research design was used. The study population was all firms listed at the NSE for five financial years 2012 to 2016. Purposive sampling was done and secondary data used for the study. Data was collected through computation of average rate of change (AROC) in market price of shares and profitability, liquidity, operational efficiency, leverage, and market performance ratios. Panel data was analysed using descriptive and inferential statistical analysis. Inferential statistics involved development and testing predictive ability of financial statement analysis panel data regression models. The fixed effects model was unsuitable for evaluating appropriateness of profitability, operational efficiency, leverage, and market performance ratios models since p values for the respective Hausman tests were > 0.05. However, fixed effects model was found to be suitable for evaluating appropriateness of liquidity ratios model since the Hausman test resulted in p value 0.05, leading to the conclusion that these ratio models were not statistically significant appropriate in influencing shareholder wealth of NSE listed non financial firms. Further, profitability, operational efficiency, leverage, and market performance ratios models had no evidence of panel effects and could be evaluated using simple ordinary least square (OLS) regression models. Market performance ratio (MPR), price earnings ratio (PER), price to sales ratio (PTSR), dividend payout ratio (DPOR) and dividend yield (DY) had statistically significant influence on AROC in market price of shares since their respective p values were <0.05. Market performance ratios model had statistically significant appropriateness in influencing shareholder wealth of NSE listed non-financial firms since its p < 0.05
ASSESSMENT OF COMMUNITY RESILIENCE TO IMPACTS OF CLIMATE CHANGE RELATED DISASTERS ON THE ENVIRONMENT IN LOWER NYANDO RIVER BASIN, KISUMU COUNTY, KENYA
Get PDFResidents of lower Nyando River Basin, Kisumu County are predisposed to flooding and drought cycles, whose impacts are exacerbated by climate change. These phenomena leave trails of destruction, which negate cumulative efforts by the communities to maintain sustainable livelihoods and ecosystem health, compromising their resilience to Climate Change Related Disasters (CCRDs). The study examined resilience of households to the impacts of CCRDs on the environment in lower Nyando River Basin, Kisumu County, through six specific objectives: i) to determine the Impact of CCRDs on the Environment of households, ii) to determine the resilience of households to impacts of CCRDs on the environment, iii) to determine the influence of Impacts of CCRDs on the environment on the coping mechanisms, iv) to establish how the Impact of CCRDs on the environment influences recovery of households, v) to examine the influence of socioeconomic factors on the households’ ability to cope with impacts of CCRDs on the environment and vi) to investigate the influence of socioeconomic factors on households’ ability to recover from the impacts of CCRDs on the environment. Resilience was assessed as a function of coping and recovery. A descriptive research design was adopted. The research sampled three divisions: Kadibo, Nyando and Lower Nyakach which were selected purposefully due to being prone to both floods and drought. A proportionate sample of 374 household heads was systematically selected from a target population of 162,162. Data was collected using a household questionnaire, key informants’ guide and observation schedule. Data analysis was conducted using Statistical package for Social Sciences. Descriptive statistics; frequency distributions, means, percentages and inferential statistics; ANOVA, Simple regression and multiple regression tested at alpha p < 0.5%) were used to test the six hypotheses. The results accepted two null hypotheses and rejected four null hypotheses and concluded that Impact of CCRDs on the environment is high, the resilience of households to impacts of CCRDs is below threshold, socioeconomic factors influence resilience to impacts of CCRDs with age and gender influencing resilience significantly and sizes of land influencing recovery significantly. The study recommends the following: a landscape approach to managing environmental hazards in order to reduce impact downstream, an up scaling of coping mechanisms, Policy consideration of socioeconomic factors: age, gender and land sizes in disaster management, enhancement of extension services, and communal approach to resource management to enhance resilience-proofing against CCRDs
The Moderating Effect of Information Systems Capabilities on the Relationship between Information Systems Resources and Performance of Firms in the Telecommunications Industry in Kenya
Get PDFFULL TEXTKenya’s economy is today driven majorly by information-based service businesses
where telecommunication industry is playing a critical role. A 2018 report from
Communications Authority of Kenya indicates that mobile phone service providers have a
combined total of 38 million subscribers with Safaricom Kenya Limited leading in
subscription rate, innovative products and services. Extant literature shows that information
systems (IS) resources have a direct impact on performance; however the influence of
information systems capabilities on the relationship between IS resources and firm
performance has not been fully explored. Anchored on resource-based view and
contingency theories the study utilized correlational survey design. The population of the
study was 408 with a sample of 202 members of staff being drawn through proportionate
stratified random sampling method. The findings indicated a positive effect of IS capabilities
(ΔR2 = .096, p<0.05) on the relationship between IS resources and firm performance signifying that firms in
the industry should ensure proper development of innovative IS capabilities since they have significant
influence on the relationship between IS resources and firm performance. The findings may be useful to industry
players in gaining better understanding on various IS capabilities that they can utilize to improve and sustain
their performance besides policy formulation. And by advancing a model that depicts the influence of IS
capabilities on the relationship between IS resources and firm performance, this study may make a significant
contribution to theory building in the field of information systems
THE QUALITY OF POST ABORTION CAREPACKAGE OFFERED TO WOMEN PRESENTING TO TWO REFERRAL HOSPITALS IN BOMET COUNTY
Get PDFIn 2011, WHO reported 56 million abortions worldwide. The majority of these occurred in the developing world. Maternal mortality in Kenya isstill high at 488/100,000 live births, with abortion related deaths contributing to the top five causes of maternal mortality. The Comprehensive post abortion care package (CPAC), which offers holistic care, has been shown to decrease the rate of maternal mortality and morbidity. This study aimedto determine if all the elements of CPAC were offered to women presenting to hospitals in Bomet County and thesewomen’s level of satisfaction with care. A Cross-sectional study was undertaken at two referral hospitals in Bomet County, Tenwek Mission hospital and Longisa County referral hospital.Analysis of the responses involved categorical independent and dependent variables and Likert scales.100 respondents were surveyed with a mean age of 26.6 years, range (16-42yrs). Generally, access to care was poor with 70% accessing care after 24 hours despite life threatening complications. This led to high cost of care where a majority 62% needing blood and 89% requiring evacuation of retained products of conception. Gaps were noted in uptake of family planning services where only 46% were offered a contraceptive method with an uptake of 36% and of these, the options chosen were mainly short-term methods. Those who were more than 25 years were more likely to be offered a family planning option (56%) compared to those less than 24 years (22%) in thefaith-based facility with OR of 0.22(0.06,0.83) P value <0.02. On spiritual care and emotional counseling, 100% of respondents reported having been emotionally affected by the abortion but only 66% reported care in that area. Only 46% of the patients were tested and counselled for HIV and STIs. Linkage to care was also generally poorly represented with patients reporting late access to care, improper referral system and inadequacies in follow-up after discharge. Results generally indicate that there are still gaps in how frequently each of the elements of CPAC with only 30% of the respondents receiving the whole CPAC package as per the guidelines. Nevertheless, most patients reported satisfaction with the services they received with a p value of < 0.05. Efforts need to be put in place to advocate for adherence to CPAC as stipulated in the guidelines with the aim of reducing the vicious cycle of repeat abortions and maternal morbidity and mortality
STUNTING IN CHILDREN LESS THAN TWO YEARS IN RURAL AND URBAN HOUSEHOLDS IN TURBO SUB COUNTY, UASIN GISHU COUNTY
Get PDFGlobally about one fifth of children less than five years are stunted with more than a third from Africa. Stunting is low length for age with poor cognitive and physical development. It occurs in the first 1000 days of life increasing morbidity, mortality, reduced individual output and chronic conditions. Since surveys indicate stunted children are also found in food secure households with good access to diverse foods, there seems to be a major research gap on factors contributing to stunting in this households, more so in Turbo Sub County. The purpose of this study was to determine the contributors to high prevalence of stunting(31.2%) in Turbo, Uasin Gishu County. The study findings will inform the county on effective intervention strategies. The study objective was to find out contributors of stunting in food secure households in children less than two years in Turbo, UGC. Cross-sectional survey design was used for this study. A sample size of 331 stunted children aged 0-23 months were recruited using multistage, systematic random sampling. The results indicate that their biological mothers cared for 92.1% of the children. Children below six months were exclusively breastfed at 40.3% with more urban children than rural at χ2(P=0.001). Continued breastfeeding at one year was 67.3% and at two years 47.1%. More rural children had a dietary diversity score of ≥4 than urban with χ2(P=0.004). Dairy (66.4%) and business (46.9%) were the most practiced economic activities. There was poor knowledge on meal frequency with no difference between rural and urban at χ2(P=0.033) and χ2(P=0.019) for 9-11 and 12-23 months respectively. Rural families that produced milk fed it to children Fishers exact test χ2(P=0.004). The study indicate poor feeding practices for stunted children and recommends training caregivers on infant and young child nutrition