The Future of Unemployment In KSA Free-Samples for Students

Question: Discuss about the Future of Unemployment IN KSA under new Regulation and 2030 Vision. Answer: Research methodology Research methodology is defined as a systematic and theoretical evaluation of methods applied in the study. In the circumstance of the present context, Caillaud et al. (2016) determined that the process used to gather secondary information ad primary data to arrive at a conclusion for the study is known as research methodology. According to Fallman (2008), both the primary and the secondary information can be collected in the form of quantitative and/or qualitative methods. The present study deals with the subject, future of unemployment in KSA under new regulation and 2030 vision. The researcher in the present chapter has discussed the researcher paradigms that would be used to collect both the primary and the secondary data to derive findings against the research subject. Therefore, the researcher would discuss the research methods like research design, research approach, data collection, population, sampling techniques, instruments used to collect data and data analysis process. Research design In the context of the present statement, Freshwater (2007) mentioned that research design refers to the entire policies a researcher selects to integrate different components of a study in a logical and coherent manner to address the research problem. It has been assessed that research design comprises the blueprint for data collection, measurement, and structured analysis. According to Grbich (2012), research designed is comprised four determinants like conclusive, exploratory, experimental and descriptive. The conclusive design provides information that helps to derive the conclusion of studies. Lim and Ting (2013) stated that exploratory designs lead to generate new ideas and insights to collects accurate data. Experimental design is considered to be the blueprint of the process that helps a researcher to examine its hypothesis and derive the conclusion. As per Maistrenko (2015), descriptive design tends to collect the background information of the study and collect data aligned t o the research objectives of the study. In the present study, the researcher has considered that the descriptive design to derive conclusion regarding the subject future of unemployment in KSA under the new regulation. With the support of descriptive research design, the researcher has gathered background information to understand the future employment prospect of KSA by 2030. Thus, the background information is aligned to the present scenario to derive an insight of the future employment rate. Research approach Research approach is of two different types like deductive and inductive. In the circumstance of the present statement, Caillaud et al. (2016) mentioned that inductive research design deals to develop new theories to justify the subject matter of the project. On the other hand, deductive research design deals to examine the existing theories and identifies its importance. Based on which researcher understands the suitability of the theories and application in the project. Thus, it could be understood from the previous statement that inductive is a theory-developing-approach and deductive is a theory testing approach. In the statement of Lim and Ting (2013), it is determined that due to the theory testing nature of deductive research approach, it has been considered as a waterfall model. In the present study, the researcher was supposed to identify the factors that hamper the employment in the KSA. Moreover, the study also led to recognise the present employment scenario in KSA, based on which the future predictions could be made. Therefore, the study is all about analyzing and understanding the current market scenario. Thus, it demands a theory testing approach. Hence, the researcher in this present study has chosen the deductive research design over inductive. On the other hand, the inductive design is all about theory establishment, which is not necessitated in the existing research. The chosen research approach has supported the researcher to study the subjects that tend to suit the research objectives and questions. Based on the framed objectives, the researcher has managed to gather information regarding the employment scenario in KSA and its future prospect by 2030. Existing theories are examined on the basis of findings that are either confirmed or modified. Hence, in place creating new theories, the deductive research approach has supported the researcher evaluate the past and present market scenario in KSA with respect to employment rate. This helped t he study to meet its set of framed objectives and derive authentic conclusion regarding the employment rate in KSA under the new regulation and vision of 2030. Data collection In the present study, the researcher would consider both the primary and secondary data collection method. In the statement of Lim and Ting (2013), it can be identified that the primary data are raw and unprocessed by nature. On the other hand, secondary data are the proven facts that are already evaluated by the scholars in the past literature. According to Maistrenko (2015), journals, books, websites, magazines, official corporate sites are the relevant secondary sources. It has been identified that journal is always considered as the most authentic secondary source to provide accurate information. Therefore, the majority of the researchers are seemed to rely on journal based information to get authentic secondary information and increase the quality of the research project. In the similar context, Lim and Ting (2013) determined that a context of journals are always examined and verified by several scholars, therefore, the information present in the journal are always authentic and reliable. However, in the present study, the researcher has faced severe issue to collect authentic secondary information from the journals. The present study demands for authentic and latest information regarding the employment scenario in KSA and its impact of new regulation on the employment rate of the similar region. On the other hand, the information received the researcher from the journal are entirely backdated, which failed to justify the essence of the research topic. In a similar manner, the information received from books and magazines are not latest as well. Atlas, the official governmental websites serviced to be the potent source to provide the latest information regarding the future of unemployment in KSA under new regulation and 2030 vision. The primary data has been collected from the chosen set of respondents. In the current project, the researcher has framed a questionnaire aligned to the research objectives. After which, the researcher has selected a set of respondents to gather the primary details on the form of quantitative format. The respondents were asked to provide the personal contact details to send the questionnaires. The researcher managed to collect the personal email ids of the respondents and forward the questionnaire in the concerned email addresses. It had been a challenging task for the researcher to convince the industry experts to provide personal contact details and attend the survey session. However, the researcher has managed to collect answers from the majority of the primary respondents related to the research context. Instruments and measures used In the present study the researcher has made the use of following measures: Tables: Initially, the feedbacks of each of the respondents are represented in the percentage. The researcher has collected the feedbacks of the respondents in the sample in the excel sheet and calculated in the similar sheets. The outcomes of the calculation are presented in the tabular format, where each of the answers was represented in the percentage format. This has helped the researcher to make a graphical representation. Graphs: The result derived from the tables is presented in a graphical manner to understand the probability. The graphical representation has supported the researcher to understand the present market scenario of KSA and to what extent it would likely change in the near future, The researcher has also evaluated the findings with the support of the secondary information. The findings are further triangulated with the secondary data of literature review for the sake of data authenticity. This has helped the study to arrive at a genuine conclusion and meet the research objectives and meet the hypothesis. Emails: Emails have been one of the significant platforms that have been used to gather the primary details from the HR managers. Since the samples are the high-end professionals and hold a considerable designation in the enterprises. Therefore, the email had been the best professional platform to collect the feedbacks. Therefore, the researcher had eliminates all other platforms and only interacted with the professional through the provided emails. It has been identified that the researcher has gained positive reactions through the taken approach. Therefore, the respondents were easily convinced to participate in the survey session and fill the questionnaire in the online forum. Although some of the forms were not returned, yet, the majority of the feedbacks were collected to gain a better insight regarding the employment scenario in KSA. Questionnaires Questionnaire has been another measure that has helped the researcher to derive better findings through primary responses. Since, the deal line for the project was extremely short, therefore; the researcher has planned to conduct a survey session to gather the findings. The questionnaire was set aligned to the research aims and objectives. The questions were made short and precise considering the nature of the samples. The respondents interested in participating in the survey process had found the questions easy to answers, thus, managed to return it within the specified time frame. Thus, the specific approach has helped the research to understand the future of unemployment in KSA under new regulation and 2030 vision. Population In the current study, the researcher has preferred to gather data from the industry experts to understand the present employment scenario in KSA and its prospect in the near future. The researcher has also preferred evaluating the impact of the new regulation process on the employment rate in the KSA and its vision for 2030. Therefore, the researcher in the present project has preferred to conduct a survey session and collect the opinions of the industry experts to understand the present employment scenario in KSA. It has been identified that a substantial strength of sample size is considerably a time-consuming process, which often tends to hamper the project quality and fails to meet the deadline. On the contrary, Bowman (2014) determined that sample size can raise an ethical issue. Therefore, the researcher aimed to consider the HR managers of every leading company in KSA. However, it is impractical to individually question every HR manager of the leading enterprises in KSA. There fore, the researcher planned to conduct a survey session with the chosen samples. The samples were extremely busy to participate in the survey process; therefore, the researcher had to waste quality times in convincing a considerable size of resources to participate in the survey process. The researcher has selected 255 HR managers in the leading firms of KSA, but the managers were extremely reluctant with the professional schedules. Therefore, the researcher had to make a persistent follow-up to ensure that the managers find some leisure time to answer the questions. The questionnaire was set as per the research objectives, thus, the feedback coming from majority would help the study to arrive at an authentic conclusion. It has been assessed that out of 255 samples 180 has managed to return the form with accurate sets of answers. Out of the chosen population, 51 managers had prior commitments, thus, failed to attend the session. 21 managers claimed of taking initiatives but found i t extremely lengthy and could not devote the necessary time. Therefore, the sample size for the present study has been 180 HR managers in the leading enterprises of KSA. Sampling technique In the opinion of Brians et al. (2010), sampling techniques are of two different types, probability, and non-probability. In the similar context, Silverman (2016) determined that in the non-probability sampling process, every respondent gets an equal platform to share an individual opinion. On the other hand, in the case of the non-probability sampling process, the samples strength is kept limited and the feedbacks are collected in the descriptive format. Therefore, according to Sekaran and Bougie (2013), the non-probability sampling is more appropriate, as the researcher can collect feedbacks from greater sample strengths. Against the latter statement, Popping (2012) determined that the in non-probability sampling process, researchers can collected limited but detailed information from few of the samples. Thus, the possibility of deriving better findings through non-probability sampling process is higher. In the present research process, the researcher has selected the probability s ampling process. Since it is not possible to interview each of the respondents (180) individually; hence, the researcher has selected the simple random sampling process for the sake of time management. In order to reduce the biased attitude, the researcher has further chosen to select each of the respondents on a random basis. Every respondent had sent a framed questionnaire in the personal mail ids. The respondents have shown a positive attitude regarding the survey session, therefore, the researcher was confident enough to get accurate responses from the majority of the sample. However, with the passage of time, the managers started showing the reluctant attitude towards the questionnaire and felt it lengthy to return it within the specified time frame. Therefore, the researcher finally managed to convinces to manage to convince a majority of the respondents to return the questionnaire with proper answers in time. But the final size was much lesser than the expected sample size. H owever, the strength of 180 is adequate for the researcher to understand the present employment scenario in KSA and to what extent it would change by 2030. Therefore, the selection of the probability sampling process for the survey process had been appropriate for the researcher to derive findings related to the context, future of unemployment in KSA under new regulation and 2030 vision. Data analysis The data analysis plan is preceded by keeping in mind the deadline for the project. The data collected from the primary respondents had been segregated depending on the research questions and framed objectives. The data set has been represented and evaluated with the support of graphs and charts. In the context of the present statement, Parajuli (2008) denoted that quantitative data subjects are measurable by nature, thus can be quantified easily with effective measurable tools. Hence, the quantitative data has been gathered via MS Excel and has been calculated in the similar sheets. Each of the responses would be evaluated in the percentage format. Therefore, the researcher has graphically represented the primary details to derive findings in the percentage format. The findings have been further evaluated after triangulated the primary findings with the secondary information in the literature review section. This approach tends to increase the authenticity of the data where the prim ary feedbacks of the respondents are equally supported by the opinion of the scholars that are verified initially. In the opinion of McGee (2007), descriptive statistics are recognized as succinctexpressive coefficients that sum up a provided set of data, which is generally a depiction of the overall sampling population. In the current project, the researcher has considered descriptive statistics like measures of frequency to calculated count, frequency and percent. Moreover, in a similar manner, the researcher has also chosen the measures of central tendency to calculate the primary findings collected through the survey session through mean, median and mode. References: Bowman, J. (2014) Data, analysis, action!, Research World, 2014(46), pp. 2226 Brians, C. L., Willnat, L. B., Manheim, J. B. and Rich, R. C. (2010) Empirical political analysis: Quantitative and qualitative research methods. 8th edn. New York: Prentice Hall Caillaud, E., Rose, B. and Goepp, V., (2016). Research methodology for systems engineering: some recommendations.IFAC-PapersOnLine,49(12), pp.1567-1572. Fallman, D. (2008) The interaction design research triangle of design practice, design studies, and design exploration, Design Issues, 24(3), pp. 418 Freshwater, D. (2007) Reading mixed methods research: contexts for criticism, Journal of Mixed Methods Research, 1(2), pp. 134-146 Grbich, C. (2012) Qualitative data analysis: An introduction. 2nd edn. London: Sage Publications Lim, W. M. and Ting, D. H. (2013) Research methodology: A toolkit of sampling and data analysis techniques for quantitative research. United States: Grin Verlag Maistrenko, O. (2015) Main methods of Qualititative Assessement of social responsibility, The Advanced Science Journal, 2015(4), pp. 5860 McGee, P. (2007) Ethical issues in data collection: A commentary, Research Ethics, 3(3), pp. 8990. Parajuli, B.K. (2008) Questionnaire: A tool of primary data collection, Himalayan Journal of Sociology and Anthropology, 1(2), pp. 5154. Popping, R. (2012) Qualitative decisions in quantitative text analysis research, Sociological Methodology, 42(1), pp. 8890 Sekaran, U. S. and Bougie, R. (2013) Research methods for business: A skill-building approach. 6th edn. United States: John Wiley Sons Silverman, D. ed., (2016).Qualitative research. Sage.