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Comparing Logistic Regression and Decision Tree Classifications Performance in the Context of Personal Cloud Storage Post-Adoption Behaviour
FULL TEXTMachine learning literature is replete with algorithms for classification
problems. The choice of an algorithm for a particular problem is not only dependent
on statistical assumptions but also its performance. The current study compares the
performance of logistic regression and decision trees when used in a binary
classification in the context of personal cloud storage post-adoption behaviour. The
users’ intention to switch from freemium to premium personal cloud storage services
was the classification problem. From literature review, six features were identified as
predictors of intention to adopt premium personal cloud storage service. Data
comprising the six features and a single dichotomous target was collected from
university students. Machine learning techniques were used to balance the sample
and split the data into training and validation sets. Classification analysis was then
conducted on the data using both the logistic regression and decision tree algorithms.
The performance of the classification algorithms was compared using the confusion
matrix and the ROC Curve. For the decision tree, precision=0.70, recall=0.52 with
an overall accuracy of 0.73 while for the logistic regression, precision=0.68,
recall=0.55 with an overall accuracy of 0.65. The area under ROC curve for the
decision tree was 0.79 while that of the logistic regression was 0.71. The decision
tree algorithm therefore performed better than the logistic regression in all the
metrics used for performance comparison. Perceived Usefulness, Perceived Risk and
Perceived satisfaction emerged as the most important features in predicting users’
propensity to migrate from freemium to premium personal cloud storage services
Bed Occupancy as a Predictor of Tourism Performance Index in Kenya
Tourism is one of the leading economic engines in the world and most governments invest in policies that engender
conducive environment that enhances tourism performance in such governments. Bed occupancy is one measurement of
gauging tourists’ attraction to the hotels in Kenya. The number of tourists who visit Kenya annually can also be a
measure of tourist performance index in Kenya. The main aim of this study was to analyze bed occupancy as a predictor
of Tourism Performance Index in Kenya. The study adopted descriptive survey research design targeting 183 star rated
hotels in the tourist circuit in Kenya. The study sampled 126 of such hotels Yamane (1967) sampling formula and
extracted secondary data dealing with bed occupancy and total number of tourists who visited Kenya between 20132019.
The study used simple linear regression to establish this prediction. The results indicate that the correlation
coefficient between bed occupancy and tourist performance was statistically significant (r=0.622, p=0.000). The null
hypothesis Ho
1:
that bed occupancy in the hotels in Kenya is not a predictor of tourist performance Kenya was rejected at
.05 level of significance. This implies that bed occupancy is a reliable predictor of tourist performance Kenya
Customer Profiling from Social Media Engagement using LDA and Sentiment Analysis Approach
FULL TEXTSocial media is now an essential component of the daily life of consumers.
People usually share their interest, thoughts on brands and companies through
discussions, tweets and status. At present, companies are competing to attract and
meet customer needs. For companies, managing customer relationship through social
media engagement has become a significant part of digital marketing strategies. The
modern customer has different needs, expectations and behaviours which ought to be
managed differently by companies., Customer engagement on social networks helps
to create relationship with customers, and also acts as quick and cost-effective
marketing tool. Social Customer Relationships Management (SCRM) provides a
two-way communication channel between customers and businesses through social
media sites. SCRM is based on a model of customer engagement which requires
strong partnerships and interactions. The purpose of this research study was to
understand customer interactions with business using topic modelling. The study
analysed customer engagement on Twitter of Four selected banks in Kenya. We
apply unsupervised topic modelling of LDA and sentiment analysis to create a
profile of different customers of selected banks in Kenya. We focus on interactions
from a consumer-centric perspective, not focusing on specific firm channels. We
conclude that the extracted latent models not only provide insight to the consumer
behaviour but also can also improve any company’s Social Customer relationship
management(sCRM) focused on different customer profiles
The Role of Problematic Internet Usage in the Risk of Addiction to Online Sexual Violence among Undergraduate Students in Universities in Kenya
The objective of the study was to investigate the role of problematic internet usage in the risk of addiction to
online sexual violence among undergraduate students in Kenyan universities. The study utilized Behaviourist
Theory and Social Learning Theory. Ex-post facto research design was used for this study. The target population
for the study was 97284 comprising all the undergraduate students in four universities and the accessible
population was 2
nd
and 3
rd
year students comprising of 18911. The sample size comprised of 391 undergraduate
students, 16 peer counsellors and four (4) student counsellors making a total of 411 participants. Data was
collected by use of a questionnaire, an in-depth interview schedule and focus group discussion. The
questionnaire was administered to undergraduate students, in-depth interview schedule was used on the
student counsellors and focus group discussion was conducted among peer counsellors. Each focus group
discussion comprised of four participants. Purposive sampling was used to select the universities of study.
Purposive and simple random sampling was used to select the respondents. One university with similar
characteristics with the sampled universities was purposively selected for piloting to ensure reliability of the
research instruments. The pre-test was administered to and the instruments were modified accordingly. The
reliability coefficient was online sexual violence 0.770. Descriptive statistics of frequencies, percentages and
means were used to analyse data. Chi square was used to test the null hypotheses while t-test was used to
compare the study variables. Quantitative data was analysed using Statistical Package for Social Sciences (SPSS)
Version 23
Personality Determinants of Burnout Among Nurses: A Study at Nakuru County Referral Hospital
FULL TEXTWorkplace burnout is characterized as feelings of energy depletion or
exhaustion; increased mental distance from one’s job, or feelings of negativism or
cynicism related to one’s job; and reduced professional efficacy. The purpose of this
study was to establish the relationship between personality traits and burnout among
nurses at Nakuru County Hospital. A cross sectional study design was adopted. The
majority of the respondents were fully employed (84%), aged 21-50+, gender 80.3%
female, 47.4% single, 44.7% married. Most respondents (68.4%) attained ≤ Diploma
while 31.5% had ≥ BSc.N with work experience of 1-≥15. Findings: Most of the
nurses had traits of conscientiousness (44.7%) and agreeableness (34.2%). Overall,
44.2% of nurses had moderate-high emotional burnout, 77.6% depersonalization of
moderate-high and 21% moderate-high decreased personal competence.
Conscientiousness scored significantly high on emotional exhaustion (moderate-tohigh
36.6%) and depersonalization (moderate-to-high 34.1%). The agreeableness
trait scored high on depersonalization ((moderate-to-high 36.6%). There is
significant prevalence of burnout among nurses with conscientiousness and
agreeableness personality traits. In-depth qualitative assessment of burnout
experience among different personality traits among nurses is recommended.AISE
Role of Counseling Services in Mitigating Risky Sexual Behaviors among Undergraduate Students: A Case of Egerton and Kabarak Main Campuses in Nakuru County, Kenya
This study’s purpose was to identify the role of counseling services in mitigating risky sexual behaviors among undergraduate
students of main campuses in Nakuru County. Social Learning Theory by Albert Bandura and Person-Centered Theory by Carl
Rogers guided the study. The study was carried out among 3
rd
, 4
th
, 5
th
and 6
th
year undergraduate students from main campuses
in Nakuru County. The study adopted a correlational research design. The target population was 18570 undergraduate students.
The accessible population was 8456 3
rd
, 4
th
, 5
th
and 6
th
year undergraduate students whose sample was 367. Simple random
sampling technique was used to select the respondents. The study included a sample of 10 peer counselors and 2 student
counselors from the Egerton University and Kabarak University main campuses who were selected through purposive sampling.
Data were obtained using questionnaire for undergraduate students, focus group discussions guide for peer counselors and
interview schedule for student counselors. Validation of research instruments was done through peer and expert review and also
through pilot testing which was done in Mount Kenya University (MKU) - Nakuru Campus. Both descriptive and inferential
statistics were used to analyze quantitative data using SPSS Version 25 whereas the qualitative data was analyzed thematically.
The analyzed data was presented in tables, graphs, and narratives. The researcher considered ethics of confidentiality and
informed consent. The findings indicated that counseling services play a key role in universities in mitigating risky sexual
behaviors among undergraduate students
ANALYSIS OF EFFECTS OF ADOPTION OF MARKETING ORIENTATION ON SUCCESS OF MARKETING STRATEGIES IN MICROFINANCE INSTITUTIONS IN NAIROBI -KENYA
Successful marketing starts with a considered, well-informed marketing strategy. Contrary to earlier philosophies such as production orientation, marketing oriented organizations are driven by a shift towards a marketplace that caters for customer wants and needs rather than strict delivery of product features and functionality. Marketing orientation is recognized as the cornerstone of modern marketing. According to the Financial Sector Regulators Forum, September 2018, Issue No. 9 - the banking subsector, which comprises of commercial banks, mortgage finance companies and microfinance institutions (MFIs); banks account for more than 60% of total assets in the sector as at December 2017 Comparatively, Micro Finance Institutions continue having existential problems where poor customer focus, among other issues has been cited. This research sought to establish the effect of adoption of marketing orientation on the success of marketing strategies of MFIs in Kenya. The research determined extent to which MFIs had adopted marketing orientation and further analyzed the effects of customer focus, competitor focus, interfunctional focus and marketing intelligence focus on the success of marketing strategies in the surveyed MFIs. A Census approach was applied on a population of MFIs N=67 who were members of Association of Micro Finance Institutions (AMFI-K) in 2016. The Chief Executive Officers (CEOs) of the MFIs and the marketing managers provided the information through a questionnaire used as the main data collection instrument. The data collected was analyzed using Pearson‟s Rank Correlation to establish whether there existed any relationship among the study variables. Multiple linear regression was used to examine how independent variables under study contributed to the dependent variable. The main finding was that customer focus and interfunctional focus had significant effect on success of marketing strategies of MFIs in Nairobi (p=0.020, p=0.003) respectively. However, the finding on the effects of competitor focus and marketing intelligence focus were not significant (p=0.251, p=0.752) respectively. The finding of R2 was 0.383 and therefore marketing orientation conceptual framework used could only explain 38.3% of observed variables. The conclusion therefore was that customer focus and interfunctional focus had significant influence on marketing orientation and also significant potential effect on success of marketing strategies which were measured by selected non-financial parameters for success in the MFIs sector. The moderating effect of MFIs‟ legal structure, membership and type of MFIs was also significant which means that marketing orientation had different effects on MFIs depending on the moderating variable characteristics. The main recommendation of this research was for MFIs to adopt marketing orientation and to emphasize on customer focus and interfunctional focus. This study recommended further research to determine why competitor focus and marketing intelligence focus effects on marketing strategies in Microfinance institutions in Nairobi were not significant
INFLUENCE OF WORKPLACE ENVIRONMENT ON TRANSFER OF LEARNED SKILLS IN STATE CORPORATIONS IN KENYA
The success of any training programme can be gauged by the extent to which learned skills are transferred back to the workplace and utilized by employees. This study sought to assess the influence of workplace environment on the transfer of learned skills in State Corporations in Kenya. The specific objectives of the study were: To establish the influence of management support on transfer of learned skills in State Corporations in Kenya; to determine the influence of peer support on transfer of learned skills in State Corporations in Kenya; to determine the influence of employee rewards on transfer of learned skills in State Corporations in Kenya; to establish the influence of availability of relevant resources on transfer of learned skills in State Corporations in Kenya and to assess the moderating influence of motivation on the relationship between workplace environment and transfer of learned skills in State Corporations in Kenya. The study adopted a descriptive study design and targeted employees of 202 State corporations in Kenya. The State corporations are categorized into 8 major groups and each category was considered in the study. From the 202 state corporations, the researcher obtained a sample of 20 state corporations, which form 10% of the list of State Corporations. The 20 sampled state corporations had a total 40467 employees. The researcher applied Slovin’s formula to determine the appropriate sample size and used proportionate stratified sampling to get a sample of 396 respondents for the study. Data was collected by use of structured questionnaires. Data was analyzed using SPSS Version 24 to generate descriptive and inferential statistics and presented with the help of frequency tables. Correlation analysis was used to test the direction of relationship between the independent variables and the dependent variable. Regression analysis was used to test whether the independent variables had any influence on the dependent variable. The findings indicated that there exists a moderate positive and significant relationship between management support and transfer of learned skills in State Corporations in Kenya. In addition, the study established that there is a positive and significant relationship between peer support and transfer of learned skills in State Corporations in Kenya. The study also established that there is a positive and significant relationship between availability of rewards and transfer of learned skills in State Corporations in Kenya. It was also established that there is a statistically significant relationship between availability of relevant resources and transfer of learned skills in State Corporations in Kenya. In addition, the findings indicated that motivation has a significant influence on the relationship between workplace environment and transfer of learned skills in State Corporations in Kenya. Based on the findings and conclusions of this study, the researcher recommends that managers in State corporations in Kenya should regularly check whether employees put into practice what they learn in training and regularly give them feedback on how they are progressing in applying the skills learnt in training. The management should also help employees when they have problems in applying their new skills in the work place
TOWARDS WHOLE PERSON HEALTHCARE FOR FEMALE SEX WORKERS IN BOMET COUNTY, KENYA: IDENTIFY THE UNMET HEALTH NEEDS
Background: Female Sex Workers (FSWs) have complex health needs that predispose them to a higher morbidity and mortality risk than the general population. They have unbounded challenges for example stigma and social exclusion that hinder them from accessing and utilizing healthcare. The healthcare system in Kenya has responded to their physical health needs by providing treatment and preventive sexual and reproductive health services however there is minimal knowledge on how their psychological, social and spiritual needs are met. To meet FSWs needs, it is important to have a paradigm shift from the disease model to a whole person care (WPC) model where there is an integration of the bio-physical, psychosocial and spiritual aspects of health. This study gives us an understanding of female sex workers‘ experiences and challenges when seeking and utilizing healthcare. It also describes the healthcare practices towards female sex workers by healthcare workers, informs on their unmet health needs and their perspective on whole-person care. Methodology: This is a qualitative research design that targeted the population of female sex workers living in Bomet County, Kenya. It also included healthcare workers who provide health services to this population. The sampling procedure was non- probability, purposive through respondent-driven snowball sampling. Sampling was done until saturation was achieved where data collected did not have any new information. Data was collected through in-depth individual interviews, healthcare workers‘ interviews and one focus group discussion. Informed consent was obtained for each interviewee and confidentiality of all participants was assured. Safe data handling and specific ethical considerations relating to female sex workers was observed for this study. Results: FSWs experience financial constraints, community and health worker stigma, insufficient drugs in the health facilities which includes their children‘s prophylaxis; antiretroviral (ART) drugs and poor awareness of health services available to them. Access to healthcare services was a common challenge experienced by the FSWs. The healthcare providers provide sexual and reproductive health services as well as creation of health awareness through community sensitization against stigma of FSWs with an aim of improving utilization of healthcare services. They also provide psychological and social support to the women and their children. The FSWs perspective of whole person care was that it would improve their lives in a way that they can better handle stressful conditions and even find ways on coming out of sex work in contrast to the health workers‘ perspective, where they were skeptical to integrate the spiritual aspect in WPC during provision of healthcare services. Conclusion: Female sex workers have complex unmet health needs that go beyond the physical. Healthcare providers can meet these health needs by focusing on the person rather than the disease through whole person care service delivery. The unmet health needs namely, lack of access to essential treatment and promotive health services for FSWs, the need for more psychological, spiritual care and an integration of all the four aspects of whole person care emerged in this study. The need to promptly address these unmet health needs by the healthcare system of Kenya has been illustrated if Universal Health Coverage is to be made a reality
Risk management of selected risk categories and its effect on performance of commercial real estate properties in Kenya
Real estate is defined as land, including the air above it and the ground below it, and any
buildings or structures on it. It covers residential housing, commercial offices, trading spaces
such as theatres, hotels and restaurants, retail outlets, industrial buildings such as factories
and government buildings. Real estate involves the purchase, sale, and development of land,
residential and non-residential buildings. Due to its unique nature, heavy capital involvement
and complexity, its development entails a lot of uncertainties and risks. Entrepreneurs in this
sector are expected to make sound decisions in the management of these risks in order to
achieve their entrepreneurial objective on property performance.
Real estate sector is globally regarded as an integral partof a country’s economy. It is
responsible for a considerable part of its development investment with sizeable amount of
economic growth through backward and forward linkages to a considerable number of
ancillary industries and sectors. Its contribution to GDP in 2010 was 28% (US) and 28% in
United Kingdom (Kongela, 2013) .The Indian real estate sector is one of the most globally
recognized sectors. It is slated to grow at 30 per cent over the next decade. The construction
industry ranks third among the 14 major sectors in terms of direct, indirect and induced
effects in all sectors of the economy (Kimani and Memba, 2017). The GDP share of real
estate in India was 6.3 per cent in 2013 and expected to generate 7.6 million jobs a year. In
China, the GDP share of real estate grew from 5 per cent in 2000 to 15 per cent in 2012, with
14 per cent of urban employment coming from real estate and related sectors (Mutreja, Chua
and Guha, 2015). Similar performance were realized by African states were real estate
contribution to GDP was6.82% (Nigeria in 2014), 10.2% (Tanzania in 2012) while in Kenya
it registered 4.8% of GDP in the year 2013 (Kongela, 2013; Kenya National Bureau of
Statistics (KNBS), 2015. Although, this sector plays a pivatol role in economic development,
the performance of real estate properties has perinnially been eclipsed by several challenges
including the management of its risks borne throughtout their development life cycle. The
resultant is a threat to its expected or intended performance (Wiegelmann (2012)