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Enhancing Gourmet Food Experience in Ho Chi Minh City Vietnam

University: N/A

  • Unit No: N/A
  • Level: High school
  • Pages: 8 / Words 1980
  • Paper Type: Assignment
  • Course Code: HTHD2 1908A
  • Downloads: 98

Table of Content

  1. INTRODUCTION
  2. CONCLUSION
Organization Selected : N/A

INTRODUCTION

A research project comprises several key elements that are crucial for enhancing the effectiveness and relevance of the research. It is vital for the researcher to use accurate and reliable data, ensuring that the information is valuable to both readers and organizations within the relevant industry, ultimately aiding in business development. This study centers on a research project focused on implementing innovation in the Gourmet food experience in Ho Chi Minh City, Vietnam (De Costa, Crowther, and Maloney, 2019). The research questions were designed to explore innovative approaches to attract Generation Z. This report outlines the various processes involved in data and information collection for the research, providing justifications to convince readers of the study's relevance. The report also covers important topics such as research design, data collection, sampling, data analysis, and ethical considerations, offering a comprehensive overview of the research methodology.

Research Design

The research design that is used in research considered as a complete strategy which can help the research to combine various components that are included in research. Specific research design that is used in research can help to maintain research work as per the aims and objectives of research work. This research is based on the Applied Social science for the tourism sector. There are different type of research designs can be used by the researcher to maintain the relevance of data and information that is provided in the research. For these research there are two type of research design are used which are- descriptive research and Predictive research (Clandinin, Cave and Berendonk, 2017). The selection of the research design is based on the type of research questions that are proposed in the research. As per the questions which are formed for research work are based on the concept on the implementation for innovation, do these research design that is considered in this research is Predictive and Descriptive. Both designs are suitable for this topic because the data and information that is collected in report will be applied on report to predict the future possibility. So, according to the main objective of research, collected data will be used to applied on the business condition to find future possibilities and get effective description of possible conditions. Predictive research design will help to get better analysis of various innovative methods that could be applied on the specific business sector to achieve the goals of business. This is how predictive research design will help to evaluate the effectiveness of various innovations that can help business sector to attract their target audience in the future. On the basis of data that is collected in predictive research can be applied in descriptive approach to find the detailed analysis of future business possibilities using various innovative processes and plans in business. This is how both research approaches that are used in this research work are most suitable for this research scenario (Bilau, Witt and Lill, 2018). The research designs that are use in research work are able to provide better result for aim of research. There are two type of research methodologies can be used in the research work. For these research work qualitative research is used because the innovative ideas that can be implemented in business are completely theoretical and based on creativity of people who are associated to organization.

Data Collection

Data collection process is one of the most important stage in the research process. It can be explained as process that includes gathering and measuring variables and variables which are related to the subject of research. It helps the researcher to find proper result for research work. There are two type of data collection processes are used in the research work normally. These methods of data collection are primary data collection and other one is secondary data collection. In the primary data collection process information is directly collected form primary sources through interview, questionnaire and feedback process. In secondary research data collection process various secondary sources of data like books, Journals, Articles, E-survey and official statements are used to make data base that is efficient to get better knowledge of particular topic (Haydon, Browne and van der Riet, 2018). The data collected in the research process is qualitative and based on the ideas that are provided different authors in their books and researches. There are different advantages of secondary data collection process in the research work. Some of the main advantages of secondary data collection process are- The process that is use in the secondary data collection process is highly cost effective and efficient to save money in research work. Along with cost efficient it is also time efficient because it do not require field that is usually required in the primary research work. As the secondary sources that are used in the research work are relevant and authorised. So, data collected from these sources is highly effective and relevant to use. This also can help the reader to make better understanding about the topic or aim of research project. Secondary research work also can be used to get comparison of various sources of information to get effective knowledge of particular field. There are also some disadvantages of secondary data collection process that can slightly affect the result of the research work. Main disadvantages of secondary data collection are- it is difficult to fit in the frame work of research and it is also not as effective as primary data collection process. Accuracy of secondary data collection is less than primary data collection (Boyd, and et.al, 2019). By using secondary sources it is not possible to collect more current data.

Sample Selection and Size

The data collected in the research work through primary data collection sources competed through E-Survey that includes 300 Different people which are selected on the basis of random sampling process. The respondents that are included in the research process were born in late nineties after year 1995 and before year 2010. Mainly people who are involved in research work are form generation Z. These people are selected for the depth E-Survey process to get effective data for innovation process that can be used to create effective ideas for Gourmet Food in Vietnam city Ho Chi Minh. Respondents that are included in research work are mostly tourist in age group of 10 to 25 year old (Cobb, Jadwin and Wolf, 2017). The main role of sampling in research work is to get data from different people to generate a sample size that can help the researcher to create better information about particular topic. As per the research objective the purpose of these research is to evaluate the various factors that are focused by the customer in gourmet food specially by the age group of 20 year old to 25 year old. For the selection of the people internet is selected as a medium to get the opinion of individual consumer through E survey interview. In the process of respondent selection random sampling is used which is efficient to get better and unbiased data from people. There are different advantages and disadvantages of simple random sampling process in process of primary data collection process. Some of main advantage of simple random sampling are- There is a specific group of people is selected to represent a large group of population for certain research work. This is not possible to make reach to the complete population in order to get their opinion about the research topic. Random sampling help the researcher to save time while collecting primary data from different primary sources. By reducing the volume of data and information process of data analysis become easier for researcher it also help to effectively generate result for the data that is collected in the data collection process (Shelton, Haynes and Creghan, 2018). With the increment in sample size accuracy and precision of report become higher. It is also cost effective then other process of data collection from the primary sources. There are also some disadvantage of simple random sampling which are- this is a judgemental task and there is possibility of biasness as per the mindset of individual respondent. Improper sampling process of selection of people can lead whole research in wrong direction reduce the effectiveness of research work. Level of accuracy is also low in this process.

Data Analysis Technique

There are different processes are can be used in the data analysis process. The data analysis process which is used in the research work to systematically applying logical and logical techniques to describe, analyse and illustrate, evaluate and recap the data which is collected in the data collection process. This is one of the most important process of the research work that helps to find the conclusion and result of research work that performed with in particular criteria. There are various tools and techniques can be used in that data analysis process which are effective to evaluate the data that need to be analysed in order to find out proper innovations ideas which are good for Gourmet food industry in Ho Chi Minh Vietnam. The processes that are used in the data analysis works of various principles and concepts (Caillaud, Rose and Goepp, 2016). Generally data analysis techniques are used to find out patterns in the collected data to find particular result or conclusion. For this report various statistical data analysis tool are used to analysis the data collected form respondents to evaluate most common answers to implement specific ideas in the Gourmet food industry to improve their business around the world. In this research work tools like Excel spread Sheet, Google Doc, survey monkey and SPSS are used. For the in depth interview detailed thematic analysis is used. There are different advantages of thematic analysis in the research work which are- this approach is highly flexible to use collected data in various processes to generate effective result. The data collected in the research work can be reused for different purposes to generate efficient result for as per the requirement of the research work. This is the best effective process to handle the complex data which is large in sample size. By using these tools and data analysis process complete data can be simplify in order to improve the effectiveness of result. The process of data examination is easy with data analysis tools. There are also some disadvantages of this technique which can reduce the effectiveness of research work (Daniel, Kumar and Omar, 2018). Along with numerical analysis theoretical explanation is also required to make people aware of result concluded in the report. Without theoretical explanation this id difficult to understand data.

Ethical Consideration

There are different ethical considerations used during the research work to maintain the relevancy of the work performed in data collection and data analysis. The respondents involved in the research work have filled out the ethical consideration form to make their opinions more effective and relevant (Gopinath, Johansen, and Derelöv, 2018). Protocols like data protection and privacy have also been followed in the research work, which are crucial aspects often highlighted in tools like essay typer for ensuring thorough and ethical academic writing.

CONCLUSION

This report concludes various research methodologies used in conducting research to evaluate different innovative ideas and concepts to improve the business of the Gourmet food industry. The approaches used in the research process have been analyzed and justified to determine the effectiveness of the research work completed in the project. For those seeking assignment help, these methodologies provide a solid foundation for understanding the research process and its applications in the industry.

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