This chapter shows the methodology applied to research the aspect of employee engagement and its impact on the organizational profitability of BMW Park Lane. Accordingly, the chapter strives to conduct thorough research on the matter in an organized manner. This section goes through various aspects like the research philosophy, research approach, research design, research strategy, and data analysis among others. All these aspects establish the way to explore the linkage between employee engagement and organizational profitability in the BMW Park Lane business scope.
Research philosophy focuses on the suitable assumptions for the study after its proper completion. It is the fundamental ground based on which the research culminated. Thus, is a broad concept and is categorized into four main types: Realism, Interpretivism, Positivism, and Pragmatism.
Types of Research Philosophy
Interpretivism research philosophy considers the angle of human interests along with the scientific implication. Hence, it exists within the boundary of the study. Positivism research philosophy explores the existing information and facts that are reliable and binding to the subject matter. Realism research philosophy is the combination of interpretivism and positivism research philosophy. So, the study focuses based on the real-world scenario apart from assumptions. Lastly, the pragmatism research philosophy champions the notion of different processes and methods. It is to conduct the research and interpret the existing and attained aspects. For this particular study, the researcher takes the relevance of the positivism research philosophy.
The positivism research philosophy explores the available facts and information about BMW Park Lane. It is in connection to its employee engagement and profitability proposition. Hence, it helped the researcher to delve into the facts that lead to employee engagement and disengagement within the organization. And then, the researcher associated the aspects with the profitability data to seek a suitable solution to the study.
The research approach helps in studying the progressive trend of the study by undertaking its proper evaluation. effectively, the phenomenon paves for a systematic approach to conducting the research efficiently. Research approach can be of two types – Deductive research approach and Inductive research approach.
Types of Research Approach
The deductive research approach helps in testing the suitability of the theoretical framework. It is to evaluate whether the study premises is on the right track or not. Henceforth, it gradually leads to specifications from generalization and evaluates the research hypothesis. Testing the null and alternative hypotheses is a significant aspect of the deductive research approach. Contrarily, the inductive research approach analyses the research progress from the existing point and does not hold the relevance of any such hypothesis. The conclusions are untested and the research approach tends to be generalized rather than specific. For this study, the researcher chose the deductive research approach.
The deductive research approach tends to be specific rather than generalized. It is because the subject matter deals with the issue of employee engagement and profitability specifically for BMW Park Lane. Again, this particular piece of research has a hypothesis which is an important characteristic of the deductive research approach. Hence, the research approach tested the solution to reach a suitable conclusion validating the study.
Research design is a proper plan that enables the researcher to meet the research objectives duly. It helps the researcher to address the issues effectively and chalks out an appropriate research method. This is to conduct and complete the research efficiently. The research design leads way to a suitable research strategy. Research design can be of four distinct types – exploratory, explanatory, experimental, and descriptive research design.
Types of Research Design
Firstly, the exploratory research design stands for the preliminary research ground to conceive hypothetical assumptions. Consequently, it explores the facts and information available for the purpose. Secondly, the explanatory research design strives to connect different ideas to interlink the causes and impact of the subject matter. It helps to provide a systematic look at the study. Then, there is the experimental research design. It tends to have a scientific inclination using two distinct variables. In this, one variable is constant while the other is inconstant. Lastly, the descriptive research design helps in exploring and running an effective explanation to complete the research process. Therefore, the researcher takes the help of the experimental research design in this respect.
The experimental research design is suitable for this study as there were two distinct elements – employee engagement and organizational profitability. The element of employee engagement was constant while the aspect of organizational profitability was inconstant. Consequently, this research design tries to establish the linkage between the two elements in the business scope of BMW Park Lane scientifically.
Research strategy is appropriate to investigate the matter owing to the research. The phenomenon is useful in answering the research questions effectively with absolute clarification. It guides the research work by incorporating a comprehensive list of activities to contemplate the study within the given deadline. The researcher compiles an apt, reliable, and authentic research strategy to meet the requisite resources considering the research philosophy, research approach, and research design for the purpose. The research strategy also paves for collecting the research data using an effective sampling process and data analysis technique. This leads to the proper interpretation of the research outcomes.
To conduct suitable research on the impact of employee engagement on the organizational profitability of BMW Park Lane, it is crucial to have a systematic approach. Thus, the research strategy strives for organizing things appropriately. It is necessary to know whether an effective mechanism of employee engagement leads to fit the financial performance of the business. Accordingly, the researcher surveyed the employees of the authorized dealer of BMW. The researcher adopts an exercise to collect the data from the samples and analyze the same. This happens to be the winning strategy to reach an apt conclusion.
Sampling is the particular selection of the population subset in the interest of the research process. It is a substantial occurrence of the research. This is because the entire population cannot participate in the process or else the exercise becomes complicated. Selecting the right sample is crucial for the study. It enables the researcher to contribute to the matter. Hence, the researcher took a portion of the population to have a purposeful study.
To have apt research, the researcher needs to settle on certain criteria say the number of research populations for the study purpose. Accordingly, the researcher involved the employees working with the authorized dealer, BMW Park Lane in London. For this, the research survey takes a sample population of 40 employees. The researcher chose the sample population randomly from the employee pool of the organization irrespective of their gender, job role, or seniority.
The handful of samples is effective for the research work as the researcher could exploit those to provide a proper direction and have a suitable conclusion. It was better to choose the sample from the organization itself as the employees could express their experiences, likes, or dislikes there. The phenomenon brought out the actual connotations of how employee engagement in the business scope of BMW Park Lane leads to its financial performance.
Data collection is the most important aspect of the research as the researcher needs to be wise and vigilant to collect the data. A wrongful selection of data may compromise the research quality as the facts and information derived from the data are the ingredients to a constructive research outcome. There are two types of research data – Primary research data and Secondary research data.
Types of Data Collection
The primary research data is the first-hand information that the researcher collects from the data available to him. The researcher can collect the data through surveys or by conducting interviews with the sample population. Then there is the secondary data that already exists in the scenario. This sort of data is collected from available resources such as historical records, literary sources, periodicals, journal articles, government websites, and other authentic materials. In this case, the researcher takes the relevance of the primary research data.
The primary research data was the best means for the researcher to collect data effectively. Since the matter was concerned with the dealer of BMW at Park Lane in London, it was a good idea to source data from that place. Accordingly, the researcher approached the employees working there to participate in the survey. It is to understand the impact of employee engagement on the financial performance of the business.
The participating staff attained multiple-choice questions to divulge facts and information related to the subject matter. Those questions were related to employee engagement and their motivation to work in the place. Since the survey was directly related to the well-being of the employees, they tend to participate in the process wholeheartedly. The output of the survey seems appropriate. It helped the researcher to direct the study in a suitable way to attain a satisfactory conclusion. Hence, the researcher chose primary research data for the research purpose.
Data analysis is the exercise to analyze the data by integrating logical mechanisms to evaluate the sorts of data collected for the research. It is useful to extract the desired outcome of the study and gradually move towards a suitable conclusion. There are two types of data analysis techniques, namely quantitative data analysis and qualitative data analysis.
Types of Data Analysis
Qualitative data analysis delves into the insight of the data by focusing on the qualitative aspects keeping aside the numerical factors. This sort of analysis highlights the subjective characteristics of the data collected by the researcher that does not need any numerical functions to validate the things. The subjectivity of the analysis is based on the assumptions or perceptions of the sample population and may be biased.
Contrarily, quantitative data analysis is a suitable technique to exploit the statistical and mathematical modelling and determination process to extract apt results. The researcher using the quantitative analysis expresses the given reality in terms of numbers. In this case, the researcher can use excel functions or SPSS to conduct the data analysis professionally and realistically. He used quantitative data analysis to interpret the data outcomes.
The researcher considered the survey questionnaire to extract the data from the sample population. In such a scenario, quantitative data analysis is best suited. This is because the data delivers the information in terms of statistical or mathematical expression. The data extracted from the survey of the employees at BMW Park Lane has been analyzed through SPSS to derive the statistical expressions. It provided a scientific inclination to the study. It is to express the research outcome effectively and authentically.
The researcher conducting the research should abide by the ethical implications. It is for a purposeful research outcome. Henceforth, it is the responsibility of the researcher to take full responsibility for the confidentiality and sensitivity of the research. He will not disclose the matter to any external parties. The researcher should take care of the fact that the research gets used for academic purposes only. It is not to serve anyone’s commercial interests.
Again, he should have followed the given guidelines in every aspect. For instance, the researcher needs to take permission from the appropriate authorities at BMW Park Lane, London to run the survey. Simultaneously, no staff at the organization should be forced to participate in the survey. It is the lookout of the researcher not to fabricate the outcome and be biased. He needs to present the things as they are to provide the authenticity element.
The chapter starts with the positivism research philosophy. It is to get into the intrinsic facts of how positive employee engagement leads to the suitable financial performance of the business. Then the chapter states the deductive research approach for the study. This is to find out a specified solution to the matter by testing the hypothesis. The research considers the hypothesis as an important aspect to establish the validity and reliability of the research work.
The researcher considers the experimental research design by keeping two elements simultaneously. These are the aspects like employee engagement and organizational profitability. It helps to provide a scientific inclination to the study. The research strategy tends to run a survey on the targeted population, say the staff working at BMW Park Lane. A sample population of 40 is taken to run a survey on the targeted population. Hence, primary data collection is chosen. Thus, quantitative data analysis is preferred. It is to run the SPSS analysis for a statistical interpretation of the matter. The researcher designs the entire research methodology chapter to attain the research aim and objectives efficiently.