business related

1. Africa Nazarene University
RME 308
LECTURER:John Kamau
Group members Registration number Name
1 19s01amc057 Lisa Gikonyo
2 21j01dcps012 Julia Githiomi
3 19s01acrm038 Felister Natumoi
4 19s01amc035 Lucy Gitei
5 21jo1aba087 Maryanne Gatumbi
6
Topic one.
Influence of drug abuse among youths in Kenyan institutions of higher learning leading to poor
performance and school dropout: case study institutions of higher learning
Dependent variables: Poor performance and school dropout
Independent variables: Influence of drug abuse
Target population: Youths in Kenyan institutions
Operationalization of independent variable: causes of drug abuse are through
observation,addiction,behavioural,cognitive
Reference:
Chesang, R. K. (2013). Drug abuse among the youth in Kenya. International journal of scientific &
technology research, 2(6), 126-131.
Masese, Dr & Gesare, Alice. (2020). UPSURGE OF DRUG USE AMONG UNIVERSITY STUDENTS IN KENYA:
CAUSES AND CONSEQUENCES.
Topic two.
Global warming and climate change has led to drought and famine A case study of North Eastern
Normadic pastoralists in Kenya
Dependent variable-Global warming
Independent variable-Drought and famine
Target population-north Eastern normadic pastoralists in Kenya

2. Operationalization of independent variable-observative,behavioral,reliability
Reference- Climatic Change, IISD. http://www.cckn.net//pdf/north_africa.pdf. Aguilar, E., T.C.
Peterson, P. Ramírez Obando, R. Frutos, J.A. Retana, M. Solera, J. Soley, I. González García and co-
authors, 2005: Changes in precipitation and temperature extremes in Central America and northern
South America, 1961–2003. J. Geophys. Res., 110, D23107, doi:10.1029/2005JD006119. Alcamo, J. and
T. Henrichs, 2002: Critical regions: a model-based estimation of world water resources sensitive to
global changes. Aquat. Sci., 64, 352-362. Alcamo, J., P. Döll, T. Henrichs, F. Kaspar, B. Lehner, T. Rösch
and S. Siebert, 2003a: Development and testing of the WaterGAP 2 global model of water use and
availability. Hydrol. Sci. J., 48, 317–338. Alcamo, J., P. Döll, T. Henrichs, F. Kaspar, B. Lehner, T. Rösch and
S. Siebert, 2003b: Global estimates of water withdrawals and availability under current and future
“business-as-usual” conditions. Hydrol. Sci. J., 48, 339–348. Alcamo, J. and Co-authors, 2004: A new
perspective on the impacts of climate change on Russian agriculture and water resources. Proc. World
Climate Change Conference, 29 September–3 October, 2003, Moscow, 324–335. Alcamo, J., M. Flörke
and M. Marker, 2007: Future long-term changes in global water resources driven by socio-economic and
climatic change. Hydrol. Sci. J., 52, 247–275. Aldhous, P., 2004: Borneo is burning. Nature, 432, 144–146.
Alexander, L.V., X. Zhang, T.C. Peterson, J. Caesar, B. Gleason, A.M.G. Klein Tank, M. Haylock, D. Collins,
B. Trewin, F. Rahimzadeh, A. Tagipour, K. Rupa Kumar, J. Revadekar, G. Griffiths, L. Vincent, D.B.
Stephenson, J. Burn, E. Aguilar, M. Brunet, M. Taylor, M. New, P. Zhai, M. Rusticucci and J.L. Vazquez-
Aguirre, 2006: Global observed changes in daily climate extremes of temperature and precipitation. J.
Geophys. Res., 111, D05109, doi:10.1029/ 2005JD006290. Allen Consulting Group, 2005: Climate Change
Risk and Vulnerability: Promoting an Efficient Adaptation Response in Australia. Report to the Australian
Greenhouse Office by the Allen Consulting Group, 159 pp.
http://www.greenhouse.gov.au/impacts/publications/riskvulnerability.html. Alvarez, R., 2005: A review
of nitrogen fertilizer and conservative tillage effects on soil organic storage. Soil Use Manage., 21, 38-52.
Álvarez Cobelas, M., J. Catalán and D. García de Jalón, 2005: impacts on permafrost: effects of
vegetation. Meteorol. Hydrol., 11, 73–81. Antle, J.M., S.M. Capalbo, E.T. Elliott and K.H. Paustian, 2004:
Adaptation, spatial heterogeneity, and the vulnerability of agricultural systems to climate change and
CO2 fertilization: an integrated assessment approach.
Topic three.
The effect of Covid-19 government suspending domestic and international commercial passenger air
travel on workers monthly earning.A case of Kenya Airways Limited workers.

3. Independent variable-Covid 19 gvt suspending domestic and international commercial
passenger air-travel
Dependent variable-on workers monthly earning
Target population-Kenya Airways limited workers.
Operationalization of the independent variable:organizing,leading,planning,controlling
References
Catalyst (2020a). The impact of COVID-19 on workplace inclusion: Survey. July 15, 2020.
https://www.catalyst.org/research/workplace-inclusion-COVID-19.
National Academies of Sciences, Engineering, and Medicine. 2021. The Impact of COVID-19 on
the Careers of Women in Academic Sciences, Engineering, and Medicine. Washington, DC: The
National Academies Press. https://doi.org/10.17226/26061.
Devi, S. (2020). Travel restrictions hampering COVID-19 response. Lancet 395(10233), 1331–
1332. https://doi.org/10.1016/S0140-6736(20)30967-3.
National Academies of Sciences, Engineering, and Medicine. 2021. The Impact of COVID-19 on
the Careers of Women in Academic Sciences, Engineering, and Medicine. Washington, DC: The
National Academies Press. https://doi.org/10.17226/26061.