A quantitative study on strategic decision making model essay

Tuesday, 16 June 2015.

The outsourcing of information technology is increasingly common, as the impact of globalization and technological developments continues to require IT experience. Grisa (1995) suggests that companies that are not associated with quality and reliability often prefer outsourcing to promote and transform business. However, it is clear that companies and other institutions with strong IT capabilities also accept the concept of outsourcing to solve various IT functions. They thus enable them to focus on their core operations, which include improving cost-effectiveness, and promoting overall productivity. The outsource can also be adopted to create positive business impact, which may include maximizing the overall commercial use. For IT outsourcing to be effective, companies must decide on the quality of the most appropriate outsourcing model that needs to be adopted to improve overall performance. Such decisions should depend on the assessment of the quality of existing in-house IT capacity to help identify the various gaps that may need to be filled

The study is aimed at developing the most appropriate outsourcing model that can be used in Chinese banks. In order to make an opinion on the best strategic outsourcing model that can be used in these banks, the study is aimed at carrying out a study of various factors influencing the decision of outsourcing strategy for use in the banking sector in China, by identifying the expected benefits and decreasing the level of outsourcing

Type of investigation

The study will use quantitative methodology to ensure that the issue is effectively investigated through the adoption of statistical, numerical and computable approaches. Olusegun (2002) said that the quantitative approach to learning was important because it allowed the use of mathematical models to evaluate hypotheses that could be formulated on a specific phenomenon. The dimension of measurement is thus of critical importance in quantitative research, as it can provide a fundamental link between empirical observations and mathematical interprets with regard to quantitative relationships. This strategy will be of great importance in this study, as it allows the researcher to identify narrow and specific questions that will enable him or her to collect examples of numerical data from those who are involved in the study, which is expected to provide answers to the questions of the study. Such an approach would also allow the researcher to evaluate the correlation of the quantitative data collected, as it would be presented in the form of statistics and percentages. The study will also find answers to questions by means of a review of descriptive and correlation hypotheses. Declarative hypotheses would be useful, as they would allow the researcher to ask specific questions about the level of outsourcing adopted in the respective places of work. Some of the descriptive hypotheses that will test this study include:

  • IT Outsourcing in this institution is above average
  • The level of IT outsourcing in this institution is below the average
  • Relational hypotheses are also very important because they will allow the researcher to evaluate the relationship between the various factors that determine the level at which the Chinese bank is located. The following are some of the specific relational hypotheses that this study will test:

  • There is a direct correlation between the obvious advantages of the decisions taken by Chinese banks to participate in outsourcing
  • There is a direct correlation between the perception of risks and the reluctance of Chinese banks to participate in outsourcing activities
  • The type of survey used in this study will be developed in the form of online questionnaires that will assist in the collection of data from the various participants who will participate in the study. These questionnaires will be appropriate

  • What are the main factors affecting the decision of Chinese banks to participate in outsourcing?
  • What are the reasons for the reluctance of Chinese banks to outsource?
  • Data collection plan

    The study will aim to collect relevant data on IT outsourcing in various Chinese banks. The data will be collected specifically from various respondents, including IT managers, chief technology officers and administrators, to help you identify the various factors that lead Chinese banks to outsourcing, as well as various reasons that may prevent such firms from adopting this practice

    A sample fill

    The study will be conducted in China with the participation of ten banking companies operating in Beijing, the capital of the country. The selection of these institutions will depend on the random sample according to which the researcher will have to select any bank, provided that its two branches are not involved in the study. However, the researcher will ensure fair representation of local, national and international banking companies, which may have local offices in Beijing. This will ensure data reliability, as various factors that can be useful to international and national banking institutions may be risky for local banks (Li, 2013). The research team will then select three IT managers, one chief technology officer and five administrators from each bank to participate in the study. The applied criterion is that the selection of the sample depends on whether the staff members are required to offer suitable answers to the questions of the study. Chief technical staff is important in this study, as they are part of the key decision-making bodies on various issues related to technology. Information technology managers also play an important role, as they can provide critical information about various domestic technological capabilities and subsequent transfers that can be associated with IT outsourcing. Administrators were also important because they provided qualitative information on the complexity of information technology functions that might require outsourcing. This approach also ensures that selected population groups will be able to answer questions about the study so that they are objective and conscious

    An example of a mining design

    The researcher will create a questionnaire that can help you gather information to answer questions about the study. It will also be done in such a way that the issues are organized in the right order. First, a sample of the questionnaire will be prepared and submitted to the expert group for evaluation. The researcher will then continue to develop a copy of the sample questionnaire to ensure that all respondents have the same information. The questionnaires will then be tested on a number of friends to define their vague terms before using data collection tools for actual respondents. Once the questionnaire was approved by the group of experts, it will then continue its work to make copies and distribute to the respondents. The message, in which participants will be invited to take part in the study, will be sent on the LinkedIn network. The purpose of the study will be communicated to the respondents to ensure that the information gathered is genuine and non-biased. The questionnaires will then be sent out via LinkedIn to participants who need to fill them out and send them back to the researcher within two weeks

    Data Analysis Plan

    The researcher will use all the collected questionnaires to ensure that respondents complete the necessary answers to the questions. The researcher will then download the completed questionnaires so that they can be used in the answers to the questions in the questionnaire, each individual in the spreadsheet. The researcher will then verify the data already entered in the spreadsheet to ensure the accuracy of the information. The SPSS software will be used to organize and analyze the input data in the spreadsheet. The researcher will then confirm the number of people who may have been selected and the answers received by each. He or she will then use graphics, frequency tables, flow charts, histograms, and pie charts to represent data based on the responses received

    The reliability of the research tools will be improved by a preliminary examination of the data collection tools. This will be achieved on the basis of a pilot test, which will include several friends and close staff. This will help improve the random measurement of possible errors to make sure that the accuracy and precision are completed before the training tools are distributed to different participants in the study

    The validity of the research tools will be enhanced by involving an expert group to evaluate the research tools to identify any possible built-in errors. These experts will be particularly in the process of ensuring that the questions of the study are systematically questioned and objective in order to avoid unbiased results

    Ansti, A. (2010). Develop questionnaire: demystification of process,

    Grizzly, R. (1995)

    Hostler, N. (2003). Outsourcing Information Technology: Assessing Your Options

    Li, E.L. (2013). Explore the decision model for choosing the outsourcing service provider

    Olusegun, S. (2002). Qualitative or quantitative research methodology: experience,

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