The method of collecting data and information for the research is known as research methodologies. These methodologies help in arranging the logical system for conducting the research. Research methodologies involve hypothetical issues, numerical approach and measurable methodologies for selecting the correct methodology for the research (Taylor et al. 2015). This section helps in expressing and clarifying anticipated data and information collected for the research. Different instruments including experiments, surveys, inter views and thematic analysis are used for conducting the research. The selection of research approach, philosophy and design have been focused in this part with proper justification.
Research philosophy deals with a concept related to data gathering and analysis. The collection of data is a phenomenon that consists of two type including epistemology and doxology. However, research philosophy consists of three type realism, interpretivism and positivism. Positivism philosophy deals with the knowledge including the objective perspective and this philosophy helps in collecting data in scientific manner. On the other hand, Interpretivism philosophy focuses on social science approach, which can be opposed by natural science. However, realism philosophy refers to independence of human approach withheld scientific approach. In this method, positivism philosophy will be selected for conducting research.
The researcher will prefer to take positivism philosophy for conducting this research. However, this philosophy helps in collecting data in qualitative and quantitative approach. Positivism focuses on the scientific approach to data collection process. The use of data and information research will be taken from the scientific process. Positivism philosophy helps in collecting related theories, models and data from conducting the survey and quantitative data is collected. Positivism philosophy is a highly structured concept that helps in maintaining a proper concept of the research topic (Flick 2015).
The research approach is a plan and procedure that helps in collecting data with broader assumptions. This helps in detailing about data collection, analysis and interpretation. Smith (2015) stated that research approach is based on the problem-discussed in the research. There are two categories of research approach including deductive and inductive approach. The deductive approach deals with the various analysis of the tests and theories used in the research. The deductive approach has been moving from general level to specific level that helps in maintaining the priority of the task and elements included in the research (Pannerselvam 2014). Therefore, thus research will take deductive approach.
In this research, deductive approach will be taken for analysing different concepts of the IT field in the market the benefits ad challenges in the IT field might be identified with the help of the deductive approach. The deductive approach focuses on the general level to the specific top level that helps in maintaining and monitoring the priority of the tasks on the research (Leedy and Ormrod 2013). The deductive research approach is maintaining the broader approach of the researcher for maintaining the priority of the elements in the research. The project objectives and questions will be observed properly that helps in focusing on different perspective of the research. On other side, inductive research approach is a reciprocal of deductive approach and initiates from theory hypothesis and lasts at observation and confirmation of the concept.
The research design is a strategy for gathering data from various sources and comments of the research in a coherent way. However, research design ensures that the research problem is addressed properly and contains mapping of the data collection process. In IT field, the benefits and challenges are main aims of the research. Three types of research design are explanatory, exploratory and descriptive (Palinks et al. 2015). Exploratory research is concerned with the issues identified in the research study. The research study is mainly focussed in the objectives and questions of the research. Explanatory research helps in connecting concept of the understanding various reasons and effects of the two variables. On other hand, descriptive design focuses on observational study that helps in finding out the characteristics of the participants and population of the research (Leedy and Ormrod 2013). The descriptive research design will be selected for this study. Both primary and secondary data collection method. However, in order to collect primary data, researcher will conduct online survey.
The researcher has taken the descriptive research design that helps in maintaining the objectives of the research. The research design helps in investigating various data and information related to the research topic. The IT field has various challenges in the business organisation that might be identified by using this research methodology (Mitchell and Jolley 2013). The use of the descriptive research design will help in collecting data from both quantitative and qualitative sources. The descriptive design will focus on the research questions and data analysis of the research study. (Knobe and Nichols 2013) In this research, the researcher will take data and information from a sample of the population and descriptive design helps in providing various approaches for collecting data and information related to the IT field.
Data collection discusses the collection of data and information related to research topic. The use of data collection technique help in collecting data in a synthetic way for enabling transparency in the research study (Novikov and Novikov 2013). There are two types of data collection technique including primary and secondary method. Primary data are the raw data and information that helps in providing raw data from the participants by conducting online surveys (Mackey and Gass 2015). On the other hand, Clemence et al. (2014 )argued that secondary data collection method provides secondary data collected from online books, journals, articles, websites, magazines and governmental reports.
These data are collected in a scientific fashion that helps in relying on these data the use of the advanced approach in the data collection process has helped in providing the better approach towards the data collection method. However, the amount of data collected from a primary method is larger than that of secondary data collection method. Secondary data is based on the longitudinal study. However, secondary data do not have availability and cost-access issues in the research study.
However, in this research, mixed data collection method will be used for collecting data and information for the research. The mixed method consists of both primary and secondary method of data collection Eisenhardt et al. (2016). An online survey will be done to collect data and information related to the IT field. The survey will be done on customers of the IT field in the market. The questionnaires will be based on the objectives and research questions. Interview sessions will be conducted during the research study that helps in collecting data and information from the IT experts of different companies.
Data will be collected from both primary and secondary data collection method. In order to this, research will conduct both survey and interview for collecting data and information related to IT field. Data collection instrument for survey will be a set of close-ended multiple type questionnaires. There will be 10 close-ended questions in the questionnaires. Survey questions will be uploaded over the internet. In the case of interview session, data collection instrument will be open-ended descriptive questions. There will be 8 open-ended descriptive questions during conduction of the interview. The answers of IT experts will be recorded as the.
The researcher will use both quantitative and qualitative data analysis method. Interviews and observations fall under the qualitative data analysis method. The researcher will analyse data with help of survey of questions of research (Popping 2012). The researcher will also focus on the answers provided by participants of online survey and interviews conducted (Neuman and Robson 2014). The analysis of the data will be integrated with the literature review section of the study that concludes the benefits and challenges in the IT field. The observations of the research will be portrayed using Likert scale ranging from 1 to 5. Results will be shown using charts, graphs and tables. This will help in better understanding of findings of study and analysis.
Data collected from Interviews will be analysed using qualitative data analysis method. However, data based on the interviews will be the observational data that will be descriptive. The form of qualitative data will be in the form of explanation, understanding and interpretation. However, the qualitative data analysis will be based on interpretative philosophy of the participants (Neuman and Robson 2014). The qualitative data analysis help in examining complex questions for providing help in dealing with value questions.
Legal
The researcher will follow all the legal factors that will be integrated with the research study. The researcher will choose primary and secondary data collection method for collecting data and information (Uprichard 2013). The identity of ant participants will not be discussed with each other. The participants will be allowed to leave the research as their own want. Participants will not be forced to stay in the research until the end.
Social
Participants will be aware of research and researcher will be concerned about freedom and autonomy of respondents’ choices. The research topic will not provide any harm to community and it will encourage participants for providing their opinions (Thomas 2013). The researcher will use council and government database for conducting research. However, the social factors of research will not affect the society in any way and conduct a proper research and instrumentation in society.
Ethical
This research will involve with human participants and it will help in raising complex and unique ethical and legal issues. In addition, the researcher will follow all ethical values during conducting the research (Somekh and Lewin 2012). The researcher will help in providing choice to the participants for collecting information and this research would not harm anonymity and confidentiality of respondents. Under the Data Protection Act 1998, the personal details of the participants will be shared worth anyone in the research (Salaberry, M. & Comajoan 2013).
Research methodology has helped researcher in collecting samples and data for research. Moreover, sampling process has helped researcher in obtaining knowledge about research. Through survey and interview, researcher will collect data and these data have been properly analysed. The use of the positivism philosophy with deductive approach might help in understanding objectives and aim of research. The use of both primary and secondary method of data collection help in increasing number of data and information for the research.
This research will focus on the benefits and challenges of the IT field in a broader area. However, future research might focus on a particular area of IT field including storage, technology and security. The use of advanced technology might be used in the future work that might help in maintaining a proper study of the future aspects of the study in IT field. Therefore, the future researchers might include different theories and models related to the IT field that might help in acknowledging various information related to IT filed in a particular area. The implementation of various theories and models in the theories might help in gaining new observation related to IT field in the market.
References
Clemence, A., Doise, W. and Lorenzi-Cioldi, F., 2014. The quantitative analysis of social representations. Routledge: Routledge.
Flick, U. (2015). Introducing research methodology: A beginner’s guide to doing a research project. Sage.
Knobe, J. and Nichols, S. eds., 2013. Experimental philosophy (Vol. 2). Oxford University Press.
Leedy, P. and Ormrod, J. 2013. Practical research. Boston: Pearson.
Magilvy, J. K. and Thomas, E. (2009) ‘A first qualitative project: Qualitative description design for novice researcher’, Journal of the Society, vol. 14, no. 1, pp. 298-300
Mitchell, M. and Jolley, J. 2013. Research design explained. Australia: Wadsworth Cengage Learning.
Novikov, A. and Novikov, D. 2013. Research methodology. Leiden, Netherlands: CRC Press/Balkema.
Panneerselvam, R., 2014. Research methodology. PHI Learning Pvt. Ltd..
Popping, R. 2012. Qualitative Decisions in Quantitative Text Analysis Research. Sociological Methodology, 42(1), pp.88-90
Potrata, B. (2010). Rethinking the Ethical Boundaries of a Grounded Theory Approach. Research Ethics, 6(4), pp.154-158.
Salaberry, M. and Comajoan, L. 2013. Research Design and Methodology in Studies on L2 Tense and Aspect. Boston: De Gruyter.
Silverman, D. ed., 2016. Qualitative research. London: Sage.
Smith, J.A. ed., 2015. Qualitative psychology: A practical guide to research methods. London: Sage
Somekh, B. and Lewin, C. (2011) Theory and Methods in Social Research, 2nd ed. London: Sage Publications
Taylor, S.J., Bogdan, R. and DeVault, M., 2015. Introduction to qualitative research methods: A guidebook and resource. New Jersey: John Wiley & Sons
Thomas, J. 2013. Empathic design: Research strategies. Australasian Medical Journal, 6(1), pp.1-6.
Uprichard, E. 2013. Sampling: bridging probability and non-probability designs. International Journal of Social Research Methodology, 16(1), pp.1-11.
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