Unit 4 M4 Business
1. Analyzing the Business Decision or Problem:
Cluster has been known to offer many benefits to its incumbents such as improving their reputation as well as being able to utilize the large and highly skilled pool of labor and customers. Geographical clustering especially is a major characteristic of industrial development and innovation (Krugman, 1991).
Research Objective: Analyze the decision that Dr Kuah, CEO of Royal Bank of Scotland need to consider on relocating the headquarters from Glasgow to Leeds, Yorkshire. For example, what are the causes, costs and benefits of clustering in Leeds.
Research Questions: To be able to make decision on financial service clustering in Leeds, Dr Kuah should consider: + What are the …show more content…
Probability sampling consists of simple random sampling, stratified sampling and cluster sampling. Non-probability sampling comprises of purposive or judgmental sample, quota sampling and snowball sampling. We would be using a simple random sampling to obtain relevant, reliable and focused information on two areas namely Glasgow and Leeds. Because it is unbiased, every company will get selected with an equal chance for the sample. This method will bear lower costs and is less time-consuming. To increase internal and external validity of this project, a purposive sampling is also chosen. Both techniques can be used to obtain answers for the research question.
Sample Size The number of people or firms who are studied in the research can be portrayed through the sample size. To increase the reliability and validity of the research, a large amount of participant should be used to be more representative of the population. However, we did not choose too big a sample to avoid the waste of resources, time and effort. The focus of the study might also be threatened when the sample provides no better …show more content…
Swann, G.M.P, and Baptista, R. 1999. A comparison of clustering dynamics in the US and UK computer industries. Journal of Evolutionary Economics 9(3): 373-399.
4. Prevezer, M., and Swann, G.M.P. 1996. A comparison of the dynamics of industrial clustering in computing and biotechnology. Research Policy 25(7): 1139-1157.
5. Swann, G. M.P, and Beaudry, C. 2009. Firm growth in industrial clusters of the United Kingdom. Small Business Economics 32(4): 409-424.
6. Baik, Y., Folta, T. B., and Cooper, A. C. 2006. Geographic cluster size and firm performance. Journal of Business Venturing 21(2): 217-242.
7. Swann, G. M.,P. Cook, G. A., and Pandit, N. R. 2002. A Comparison of clustering dynamics in the British broadcasting and financial services industries. International Journal of the Economics of Business 9(2): 195-224.
8. Pain, K., Taylor, P. J., Pandit, N. R., and Cook, G. A. 2007. The role of location in knowledge creation and diffusion: evidence of centripetal and centrifugal forces in the city of London financial services agglomeration. Environment and Planning A 39(6): 1325-1345.
9. Pandit, N.R., Cook, G.A, and Swann, G. M. P. 2001. The dynamics of industrial clustering in British financial services. The Service Industries Journal 21(4):
Cluster has been known to offer many benefits to its incumbents such as improving their reputation as well as being able to utilize the large and highly skilled pool of labor and customers. Geographical clustering especially is a major characteristic of industrial development and innovation (Krugman, 1991).
Research Objective: Analyze the decision that Dr Kuah, CEO of Royal Bank of Scotland need to consider on relocating the headquarters from Glasgow to Leeds, Yorkshire. For example, what are the causes, costs and benefits of clustering in Leeds.
Research Questions: To be able to make decision on financial service clustering in Leeds, Dr Kuah should consider: + What are the …show more content…
Probability sampling consists of simple random sampling, stratified sampling and cluster sampling. Non-probability sampling comprises of purposive or judgmental sample, quota sampling and snowball sampling. We would be using a simple random sampling to obtain relevant, reliable and focused information on two areas namely Glasgow and Leeds. Because it is unbiased, every company will get selected with an equal chance for the sample. This method will bear lower costs and is less time-consuming. To increase internal and external validity of this project, a purposive sampling is also chosen. Both techniques can be used to obtain answers for the research question.
Sample Size The number of people or firms who are studied in the research can be portrayed through the sample size. To increase the reliability and validity of the research, a large amount of participant should be used to be more representative of the population. However, we did not choose too big a sample to avoid the waste of resources, time and effort. The focus of the study might also be threatened when the sample provides no better …show more content…
Swann, G.M.P, and Baptista, R. 1999. A comparison of clustering dynamics in the US and UK computer industries. Journal of Evolutionary Economics 9(3): 373-399.
4. Prevezer, M., and Swann, G.M.P. 1996. A comparison of the dynamics of industrial clustering in computing and biotechnology. Research Policy 25(7): 1139-1157.
5. Swann, G. M.P, and Beaudry, C. 2009. Firm growth in industrial clusters of the United Kingdom. Small Business Economics 32(4): 409-424.
6. Baik, Y., Folta, T. B., and Cooper, A. C. 2006. Geographic cluster size and firm performance. Journal of Business Venturing 21(2): 217-242.
7. Swann, G. M.,P. Cook, G. A., and Pandit, N. R. 2002. A Comparison of clustering dynamics in the British broadcasting and financial services industries. International Journal of the Economics of Business 9(2): 195-224.
8. Pain, K., Taylor, P. J., Pandit, N. R., and Cook, G. A. 2007. The role of location in knowledge creation and diffusion: evidence of centripetal and centrifugal forces in the city of London financial services agglomeration. Environment and Planning A 39(6): 1325-1345.
9. Pandit, N.R., Cook, G.A, and Swann, G. M. P. 2001. The dynamics of industrial clustering in British financial services. The Service Industries Journal 21(4):