PurposeThe overall purpose of this study is to investigate impact of managerial characteristics on key performance indicators in the Kenyan hotel industry.Design/methodology/approachA cross‐sectional survey research design was used to gather primary data using self‐administered questionnaires. A sample of 160 hospitality managers was selected proportionately by simple random sample method from six hotels in Nairobi and Mombasa. A custom factorial univariate analysis of variance was used to analyze the data.FindingsHospitality managers in Kenya are still focusing on financial and result measures of performance while ignoring non‐financial and determinant measures. Managerial demographic characteristics; age, education, current position, functional area, and performance appraisal influence managers' choice of key performance indicators.Research limitations/implicationsThe model violated assumptions of homogeneity of variances. Literature review revealed a severe lack of Kenyan‐based research in tourism and hospitality industries on performance measurement practices hence the need for future research in this area.Practical implicationsThe hotels need to invest in comprehensive performance management systems suitable for Kenyan hospitality industry that will incorporate both financial and non‐financial performance measures.Originality/valueThe study focuses on level of use of performance indicators and level of importance attached to performance indicators in the Kenyan hospitality industry. Managerial demographic characteristics influence on key performance indicators are examined in leading service industry in a growing economy thus contributing to a new body of knowledge in management literature in Africa.

As the causes and consequences of the AIDS epidemic become clearer, so does the fundamental importance of food and nutritional security for HIV-affected individuals. Even as food insecurity remains a major problem in poor households, its effects are worsened in disease states like HIV infection. Food deficiency and nutritional inadequacy compromise an individual's physical status and work capacity, and may also diminish their resource base and household provisioning. The prevalence of HIV and AIDS in Kenya threatens food production systems, which intensifies poverty, increases the nutritional implications for HIV-infected individuals, accelerates the rate of orphanhood beyond what existing social networks can cope with, and basically affects all indicators of socio-economic development in the country. This cross-sectional study sought to assess food and nutrient intake in HIV-affected versus non-HIV-affected households. Purposive sampling was used to select 160 households (77 HIV-affected households and 83 non-HIV-affected households) in Kisumu district, a lowland area along Lake Victoria. A consolidated questionnaire that included a food-frequency checklist and personal 24-hour dietary recall was used to gather information from 40 households. The data were analysed quantitatively; descriptive statistics were mainly measures of central tendency, and inferential statistics involved chi-square tests and independent t-test samples. A table depicting food composition was used to compute the nutrient intake of each household. The findings reveal a significant relationship between a household's HIV/AIDS status and nutrient intake.

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This cross-sectional study aimed at determining predictive power of psychosocial factors influencing breastfeeding behavior of breastfeeding mothers. The study was conducted from April to August 2010 in Kakamega Central District within 4 postnatal clinics that were purposively sampled. Proportionate stratified technique was employed to obtain 230 respondents. A structured questionnaire was used to collect quantitative data where exploratory factor analysis tested dimensionality of questions, whereas skewness and kurtosis assessed normality of data. Structural equation modeling determined predictive power of latent variables. The model fitted data acceptably well, χ2 = 156, P < .001, Tucker–Lewis index = .93, comparative fit index = .95, root mean square error of approximation = .090, Hoelter’s critical N (0.01 = 230), with regard to breastfeeding behavior. Regression weights showed predictive power for maternal attitude (β = .38, P < .01), subjective norm (β = .25, P < .05), perceived behavioral control (β = .25, P < .05), and intention (β = .95, P < .001). This study provides information on a better approach for promoting optimal breastfeeding that will increase initiation, exclusivity, and breastfeeding continuation rates.