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RSCH5700 Business Information And Decision Making

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RSCH5700 Business Information And Decision Making

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RSCH5700 Business Information And Decision Making

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Course Code: RSCH5700
University: Johnson And Wales University is not sponsored or endorsed by this college or university

Country: United States

The Research Methodology section of your Business Proposal explains how you propose the research study should be conducted. Remember that the purpose of your research proposal is to convince someone to fund or green-light your research. Your methodology section describes the rationale for the specific procedures proposed to identify, select, and analyze information that will provide an answer or solution to your research problem and question.You will apply what you have learned about research methodology, secondary data, primary data collection, ethics, validity, reliability, and sampling to your research problem and question.
Avoid Irrelevant Detail
The methodology section of your paper should be thorough but to the point. Do not provide any background information that doesn’t directly help the reader to understand why a particular method was chosen, how the data will be gathered or obtained, and how it will be analyzed.
Avoid Unnecessary Explanation of Basic Procedures
Remember that you are not writing a how-to guide about a particular method. You should make the assumption that readers possess a basic understanding of how to investigate the research problem on their own and, therefore, you do not have to go into great detail about specific methodological procedures. The focus should be on how you will apply a method, not on the mechanics of doing a method.
Note: An exception to this rule is if you select an unconventional approach to doing the method; if this is the case, be sure to explain why this approach was chosen and how it enhances the overall research process.


Application of Virtual Realities in Marketing

This paper uses mixed-methods (qualitative and quantitative) to research the application of virtual reality technology in hotel chains for marketing their locations in order to recommend its applicability in marketing unique locations to establish whether the VR would increase revenue. Using professor interviews, documentation method and mathematical statistical will be appropriate in addressing the problem since it will show that VR can indeed be applied to market these location by giving potential customers an opportunity to see and appreciate them fully hence boosting the revenue.
Data Collection
Both primary and secondary data will be collected in this study. The primary data will be collected using the professor interviews among the selected hotel chains (both who have embraced VR and those who haven’t). The existing data will be collected through documentation method (critical systematic review of peer reviewed articles on the topic). Only peer reviewed articles will be included in the study to ensure both validity and reliability. The potential implications of the primary data from the hotel chains (marketing personnel) is that they will be able to give firsthand information on how the VR has been applied in their marketing strategies and the potential benefits it has brought (those who have embraced VR).
Also, by including the marketing personnel from hotel chains that have not embraced VR will also provide the data on their reasons and whether they feel VR has the potential to boost revenues. This set of information will be helpful in comparing the revenues for those hotel chains that have embraced VR and those that have not using statistical method in order to see the difference to inform the recommendation. The secondary data will also be helpful since it will assist in getting views of different authors on the topic hence reinforcing the primary data to have a clear view of the benefits of VR in marketing such unique locations.
The limitation of the primary data is that it will only be from hotel chains and hence could be attracted to bias whereas the secondary data might be limited by lack of many peer-reviewed articles (Palinkas et al., 2015). Because the professor interview will use human subjects, the potential ethical issues will arise including need for informed consents and asking for respective hotel chain authority to do the research. Also, confidentiality and privacy of the subjects will have to be guaranteed (Jia & Barabási, 2013). These ethical issues will be mitigated by ensuring that only those marketing personnel who have given their informed consent will be interviewed and guaranteed confidentiality.  
Sampling Method 
The target population (primary data) will be marketing personnel from hotels chains including those that have embraced VR and those that have not. Random sampling method will be used to recruit the subjects. For secondary data, ten peer reviewed sources will be selected and critically reviewed. Random sampling is justified for this study since it brings less selection bias and hence making the finding generalizable (Csikszentmihalyi & Larson, 2014).
Data Analysis
Both thematic and content analysis will be used to analyze the secondary data. The primary data will be analyzed using statistical methods by situating them in a larger theoretical construct to compare the differences in revenue between hotels that have embraced VR and those that have not. Acute assessment of this revenue relationship, patterns, trends, distributions and contradiction in data will be achieved through computation of percentages in revenue growth between the two groups of hotel chains.
The methodology is limited by lack of adequate existing data on the application of VR in marketing exotic locations. Also, it might be practically be impossible to gather sufficient data through professor interviews in all hotels that have embraced VR in marketing. The confounding variables and errors will be controlled in this study by ensuring that no new recruitments once the sample is selected (Lavrenko & Croft, 2017). Despite the above limitations, the mixed-methods used in this study outweighs these risks and hence will help achieve the study objectives.  
Csikszentmihalyi, M., & Larson, R. (2014). Validity and reliability of the experience-sampling method. In Flow and the foundations of positive psychology (pp. 35-54). Springer, Dordrecht.
Jia, T., & Barabási, A. L. (2013). Control capacity and a random sampling method in exploring controllability of complex networks. Scientific reports, 3, 2354.
Lavrenko, V., & Croft, W. B. (2017, August). Relevance-based language models. In ACM SIGIR Forum (Vol. 51, No. 2, pp. 260-267). ACM.
Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533-544.

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