6 research outputs found

    Frugal business model innovation in the Base of the Pyramid: The case of Philips Community Life Centres in Africa

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    This paper investigates how a multinational enterprise (MNE) engages in frugal business model innovation to find the optimal balance between value creation and value capture in resource-constrained contexts in sub-Saharan Africa. Using qualitative content analysis, we analyse the case of Community Life Centres (CLC), a primary healthcare innovation developed by Royal Philips N.V., a multinational technology organisation headquartered in The Netherlands. Our findings show that an MNE can innovate by developing multiple iterations of the same business model—customising it to different geographical markets. Some aspects of the business model remain static, while others are dynamic. In this regard, the innovation process in a resource-constrained service sector is pegged on the financing model, and target markets are adjusted based on financial opportunities available, while the value proposition and costing mechanisms remain relatively static. This paper contributes new insights to the frugal innovation and business model innovation literature

    Crisis Periods, Contagion and Integration Effects in the Major African Equity Markets During the 2007-2009 Global Financial Crisis

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    The contribution of the first named author is based on research supported by the National Research Foundation, Grant Number 87502. We thank Antonie Kotzé for providing us with some of the data that we required in this paper.A number of studies assert that during critical events cross-market correlations change substantially. The main focus of this paper is to explicitly test two research hypotheses concerning the effect of increasing cross-market correlations in the 2007-2009 Global Financial Crisis (GFC) compared to the pre-crisis period. These hypotheses state that there was no contagion and no integration effects among the U.S., the U.K., and selected African stock markets (South Africa, Namibia, Egypt, Nigeria, Morocco and Kenya) during the GFC. The crisis periods are formally detected using a statistical method of dividing market states into bullish and bearish markets. The sample period begins in January 2003 and ends in December 2013, and it includes the 2007 U.S. subprime crisis. Obtained results indicate that there is no reason to reject both research hypotheses. Moreover, the results confirm a heterogeneity of the African equity markets in the context of the influence of the recent global crisis.Coenraad Labuschagne: [email protected]żbieta Majewska: [email protected] Olbryś: [email protected] Labuschagne - Department of Finance and Investment Management, University of JohannesburgElżbieta Majewska - Faculty of Mathematics and Informatics, University of BiałystokJoanna Olbryś - Faculty of Computer Science, Bialystok University of TechnologyAduda J., Masila J. M., Onsongo E. 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S., 2012, What Explains Comovement in Stock Market Returns during the 2007-2008 Crisis?, “International Journal of Finance and Economics”, 17.Doornik J. A., Hansen H., 2008, An Omnibus Test for Univariate and Multivariate Normality, “Oxford Bulletin of Economics and Statistics”, 70, Supplement 1.Dungey M., Fry R., Gonzales-Hermosillo B., Martin V. L., 2005, Empirical Modeling of Contagion: A Review of Methodologies, “Quantitative Finance”, 5(1).Edwards S., 2000, Contagion, “The World Economy”, 23(7).Eita J. H., 2012, Modelling Macroeconomic Determinants of Stock Market Prices: Evidence from Namibia, “Journal of Applied Business Research”, 28(5).Enisan A. A., Olufisayo A. O., 2009, Stock Market Development and Economic Growth: Evidence from Seven Sub-Sahara African Countries, “Journal of Economics and Business”, 61.Fisher R. A., 1921, On the “Probable Error” of a Coefficient of Correlation Deduced from a Small Sample, “Metron”, 1.Forbes K. 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I., 1970, An Asymptotic Chi-Square Test for the Equality of Two Correlation Matrices, “Journal of the American Statistical Association”, 65.Kodongo O., Ojah K., 2012, The Dynamic Relation between Foreign Exchange Rates and International Portfolio Flows: Evidence from Africa’s Capital Markets, “International Review of Economics and Finance”, 24.Kotzé A., Labuschagne C., 2014, The Dilemma of Central Counterparty versus a Qualified Central Counterparty in a Developing Country, “Procedia Economics and Finance”, 14.Lagoarde-Segot T., Lucey B. M., 2009, Shift-Contagion Vulnerability in the MENA Stock Markets, “The World Economy”, 32(10).Lane P. R., Milesi-Ferretti G. M., 2011, The Cross-Country Incidence of the Global Crisis, “IMF Economic Review”, 59(1).Larntz K., Perlman M. D., 1985, A Simple Test for the Equality of Correlation Matrices, Technical Report No. 63, Department of Statistics, University of Washington.Lee J.-S., Kuo C.-T., Yen P.-H., 2011, Market States and Initial Returns: Evidence from Taiwanese IPOs, “Emerging Markets Finance & Trade”, 47(2).Leung R., Stampini M., Vencatachellum D., 2014, Does Human Capital Protect Workers against Exogenous Shocks? 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    Identifying and quantifying initial post-discharge needs for clinical review of sick, newborns in Kenya based on a large multi-site, retrospective cohort study

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    BackgroundProgress in neonatal care has resulted in a 51% decrease in global neonatal mortality rates from 1990 to 2017. Enhanced survival will put pressure on health care systems to provide appropriate post-discharge, follow-up care but the scale of need for such care is poorly defined.MethodsWe conducted a retrospective cohort study of newborns discharged from 23 public hospital neonatal units (NBUs) in Kenya between January 2018 and June 2023 to identify initial follow-up needs. We first determined pragmatic follow-up categories based on survivors’ clinical conditions and morbidities. We then used individual phenotypes of individual babies to assign them to needing one or more forms of specialized clinical follow-up. We use descriptive statistics to estimate proportions of those with specific needs and patterns of need.FindingsAmong 136,249/159,792 (85.3%) neonates discharged, around one-third (33%) were low birth weight (<2,500 g), and a similar 33.4% were preterm (<37 weeks). We estimated 131,351 initial episodes of follow-up would be needed across nine distinct follow-up categories: general pediatrics, nutrition, growth & development (40.4%), auditory screening (38.8%), ophthalmology for retinopathy of prematurity (9.6%), neurology (8.0%), occupational therapy (1.3%), specialized nutrition (0.9%), surgery (0.8%), cardiology (0.2%), and pulmonary (<0.1%). Most neonates met the criteria for two (52.3%, 28,733), followed by three (39.6%, 21,738) and one follow-up episodes (5.6%, 3,098). In addition to prematurity and very low birth weight (≤1,500 g), severe infections with extended gentamicin treatment, severe jaundice managed with phototherapy, and hypoxic-ischemic encephalopathy (HIE) contributed substantially to the pattern of need for post-discharge follow-up.ConclusionsAlmost half of surviving NBU infants have multiple specialty post-discharge follow-up needs. More urgent attention needs to be focused on healthcare planning now to guide strategies to address the varied medical and developmental needs that we outline in resource-constrained contexts like Kenya

    Hypothermia amongst neonatal admissions in Kenya: a retrospective cohort study assessing prevalence, trends, associated factors, and its relationship with all-cause neonatal mortality

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    BackgroundReports on hypothermia from high-burden countries like Kenya amongst sick newborns often include few centers or relatively small sample sizes.ObjectivesThis study endeavored to describe: (i) the burden of hypothermia on admission across 21 newborn units in Kenya, (ii) any trend in prevalence of hypothermia over time, (iii) factors associated with hypothermia at admission, and (iv) hypothermia's association with inpatient neonatal mortality.MethodsA retrospective cohort study was conducted from January 2020 to March 2023, focusing on small and sick newborns admitted in 21 NBUs. The primary and secondary outcome measures were the prevalence of hypothermia at admission and mortality during the index admission, respectively. An ordinal logistic regression model was used to estimate the relationship between selected factors and the outcomes cold stress (36.0°C–36.4°C) and hypothermia (<36.0°C). Factors associated with neonatal mortality, including hypothermia defined as body temperature below 36.0°C, were also explored using logistic regression.ResultsA total of 58,804 newborns from newborn units in 21 study hospitals were included in the analysis. Out of these, 47,999 (82%) had their admission temperature recorded and 8,391 (17.5%) had hypothermia. Hypothermia prevalence decreased over the study period while admission temperature documentation increased. Significant associations were found between low birthweight and very low (0–3) APGAR scores with hypothermia at admission. Odds of hypothermia reduced as ambient temperature and month of participation in the Clinical Information Network (a collaborative learning health platform for healthcare improvement) increased. Hypothermia at admission was associated with 35% (OR 1.35, 95% CI 1.22, 1.50) increase in odds of neonatal inpatient death.ConclusionsA substantial proportion of newborns are admitted with hypothermia, indicating a breakdown in warm chain protocols after birth and intra-hospital transport that increases odds of mortality. Urgent implementation of rigorous warm chain protocols, particularly for low-birth-weight babies, is crucial to protect these vulnerable newborns from the detrimental effects of hypothermia

    Neonatal mortality in Kenyan hospitals: a multisite, retrospective, cohort study

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    Background Most of the deaths among neonates in low-income and middle-income countries (LMICs) can be prevented through universal access to basic high-quality health services including essential facility-based inpatient care. However, poor routine data undermines data-informed efforts to monitor and promote improvements in the quality of newborn care across hospitals.Methods Continuously collected routine patients’ data from structured paper record forms for all admissions to newborn units (NBUs) from 16 purposively selected Kenyan public hospitals that are part of a clinical information network were analysed together with data from all paediatric admissions ages 0–13 years from 14 of these hospitals. Data are used to show the proportion of all admissions and deaths in the neonatal age group and examine morbidity and mortality patterns, stratified by birth weight, and their variation across hospitals.Findings During the 354 hospital months study period, 90 222 patients were admitted to the 14 hospitals contributing NBU and general paediatric ward data. 46% of all the admissions were neonates (aged 0–28 days), but they accounted for 66% of the deaths in the age group 0–13 years. 41 657 inborn neonates were admitted in the NBUs across the 16 hospitals during the study period. 4266/41 657 died giving a crude mortality rate of 10.2% (95% CI 9.97% to 10.55%), with 60% of these deaths occurring on the first-day of admission. Intrapartum-related complications was the single most common diagnosis among the neonates with birth weight of 2000 g or more who died. A threefold variation in mortality across hospitals was observed for birth weight categories 1000–1499 g and 1500–1999 g.Interpretation The high proportion of neonatal deaths in hospitals may reflect changing patterns of childhood mortality. Majority of newborns died of preventable causes (>95%). Despite availability of high-impact low-cost interventions, hospitals have high and very variable mortality proportions after stratification by birth weight
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