A Comparative Analysis of Procurement Challenges: Nigeria & China

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This presentation analyzes procurement challenges in the emerging markets of Nigeria and China. It begins by outlining the research questions, which focus on comparing procurement challenges, assessing supply chain management approaches, and recommending solutions. The methodology employs a descriptive research design, utilizing both quantitative and qualitative data collection methods. Quantitative data is gathered through surveys with a sample size of 30 respondents, while qualitative data is collected through interviews with 4 managers. Data analysis will be conducted using SPSS, and the research emphasizes ethical considerations such as confidentiality and data protection. The study aims to provide insights into effective procurement strategies and overcome challenges in these emerging markets. The assignment is part of the RSCP7004 Research Skills and Consultancy Planning module.
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Running head: RESEARCH SKILLS AND CONSULTANCY PROJECT
Research skills and consultancy project
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RESEARCH SKILLS AND CONSULTANCY PROJECT
Title: A comparative analysis of Procurement Challenges in emerging markets A case study
of Nigeria and China
Research Questions
How can the analysis of procurement challenges within the emerging markets of
China and Nigeria be compared?
What are the various approaches managed to by the businesses in these two countries
to ensure management of proper supply chains along with better sourcing and funding
related aspects too?
What are the most suitable measures recommended to overcome the procurement
challenges associated with the emerging markets in China and Nigeria?
Methodology
The descriptive research design would be the most suitable, as the researcher could
assess the existing theories, ideas and concepts for the development and testing of hypothesis,
furthermore ensure gaining in-depth information while conducting the research effectively
(Nassaji, 2015). The random probability sampling method should allow for selecting samples
randomly and provide them with survey questionnaires where they would provide their
respective views and opinions, furthermore facilitated the collection of quantitative data. On
the other hand, the non-probability convenient sampling technique could enable the
researcher to conduct an interview session with the managers of the organisations and ask
open ended questions (Ehlers 2014). The sample size has been chosen 30 respondents and 4
managers of the organisations. The responses and views of theirs would be considered as
qualitative data and these data and information, together, should constitute the primary data.
The secondary sources of data include the journals, articles, newspapers and websites from
which, data and information would be collected (Danzon et al. 2015).
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RESEARCH SKILLS AND CONSULTANCY PROJECT
The analysis of data would be done with the utilisation of SPSS tool, which could
represent the data and information in the form of graphs, tables and charts for easily
understandable by the researcher. Considering the design of research, time and cost
constraints must be considered along with management of values and ethics too (Cleary,
Horsfall and Hayter 2014). The managers who should be interviewed and also the
respondents, their identities must be kept confidential for maintaining confidentiality and
anonymity. The research related materials must be destroyed as soon as the research is
complete, so that it does not fall in wrong hands, which might result in copyright and even
exposure of confidential data and information, furthermore lead to loss of important data and
information required to conduct the research accurately (Etikan, Musa and Alkassim 2016).
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RESEARCH SKILLS AND CONSULTANCY PROJECT
References
Cleary, M., Horsfall, J. and Hayter, M., 2014. Data collection and sampling in qualitative
research: does size matter?. Journal of advanced nursing, 70(3), pp.473-475.
Danzon, P.M., Mulcahy, A.W. and Towse, A.K., 2015. Pharmaceutical pricing in emerging
markets: effects of income, competition, and procurement. Health economics, 24(2), pp.238-
252.
Ehlers, T., 2014. Understanding the challenges for infrastructure finance.
Etikan, I., Musa, S.A. and Alkassim, R.S., 2016. Comparison of convenience sampling and
purposive sampling. American journal of theoretical and applied statistics, 5(1), pp.1-4.
Nassaji, H., 2015. Qualitative and descriptive research: Data type versus data analysis.
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