Influence of Corporate Fitness Facility on Employees’ Performance

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Influence of Corporate Fitness Facility on Employees’ Performance

Category: Accounting

Subcategory: Business

Level: University

Pages: 8

Words: 2200

Many employers implement welfare programs in the workplace to inspire workers to adopt good lifestyle habits and motivate them. These types of programs may include providing fitness facilities to encourage healthy behaviors such as exercising or losing weight. The impact of wellness programs varies and by an equal measure can prove difficult to measure (Periasamy, 2016, p 173). Be that as it may, a well-designed methodology for approaching research on the issues can deliver the much need insight on the Influence of Corporate Fitness Facility on Employees’ Performance. As such this paper is going to put forward a methodology that can be utilized to approach this kind of research.
Currently, the success of a company is not only determined by its benefits and incomes, but also by its ability to attract, motivate and retain talent. Therefore, programs designed to improve the welfare of employees are becoming very popular. Employee benefits or welfare can take many forms. Like in our case at hand offering corporate fitness facilities is a form of employee welfare. Organizations understand that the comfort, health, and happiness of the employees affect their commitment, their performance and the results of the company they work for. Consequently, companies invest a good part of their resources in making sure that their employees enjoy the work they do, in promoting teamwork and good working relationships, encouraging healthy habits and commitment to the communities that impact through your business (Periasamy, 2016, p 172). With that in mind, we hypothesize that corporate fitness facilities have a positive influence on the overall employees’ performance.
b) Methodology
Type of study
Contrarily, this study is both descriptive and correlational. Descriptive research involves the conducting of the actual study, analyzing data, interpreting the results and finally making the conclusions (Sorlie and Wei, 2011, p.1). As far as the conclusion is concerned descriptive studies uses relations or correlations structures, dependents variables and independent variables to make inferences. Furthermore, this type of study utilizes all statistical procedures and steps including data gathering, ordering of data, tabulation, evaluation, and interpretation of the data (Sorlie and Wei, 2011, p.1). Correlational studies on the other hand frequently used in designing studies involving wide scopes; it has been employed in the fields such as sociology, physiology, and other branches of social science and business such as psychology and economics respectively (Skolt, 2012, p82)
A correlational study, in general, refers to a study carried out based on outcomes derived within a given stretch of time concerning given populations where representatives, participants or subject members come from, and who are related by some similarity or commonality (Skolt, 2012, p82). In other words, it is a statistical data scrutiny method. It aids in determining if there is a connection between two or more dissimilar quantifiable variables and what the strength of this relationship between the variables is. It is used when it is suspected that two variables follow or have a similar trajectory of behavior (Skolt, 2012, p82). For example, in this study, we are interested in knowing if there is a relationship between Corporate Fitness Facility on Employees’ Performance. Corporate Fitness Facilities are our dependent variables while Employees’ Performance is our independent variable.
In our study of interest, the performance of the benefiting members of the industry will be observed on a given timescale against the performance of those who have not been exposed to the factor of interest. The study should be stretched to cover the industry performance within an ‘N’ number of months or years. The study subjects should be made up of ‘n’ number of workers from target organizations. The participants should be of the average economic situation, men, and women who oscillate between ages 25 to 65, of different religions, with a difference of marital status. Age 25 because it is entirely the age at which most employees make a solid commitment towards a given employer. On the contrary, age 65 because this is the time when most people consider the option of retirement.
In the case at hand, that is finding out the influence of corporate fitness facility on employees’ performance; Stratified sampling makes an ideal sampling method. Stratified sampling consists of dividing the members of a population into standardized subpopulations before generating the final samples. Before applying the sampling method, organizations participating in the study should be identified. Moreover, these organizations will be the target groups making up the subpopulations. The sub-populations, however, must be disjoint, that is every component in the population must be allocated in only one stratum. The strata must also be mutually exhaustive that is no element within the population can be left out. After this is achieved, simple random sampling or systematic sampling can be used in the strata (Robinson, 2014, p 26).
The objective is to increase the accuracy of the sample by reducing sampling errors. Also, the theme of diversity will be taken into account. In this case, stratified sampling will be used to decompose the population in the respective strata to guarantee gender representation equality. For instance, this is important because it is possible that our independent variable that fitness facility, can have varying impacts on the respective genders. Therefore, the population will be reduced into female and male autonomous strata from the respective organizations (n0). Subsequently, two random samples from the female and male mutually exclusive strata will be derived where the impact of the independent variable will be observed and analyzed. A general representation is given below.
Target population: from each organization (n0) female and male participants should be picked separately
Female participantssample size (25)
Male participantssample size (25)
Due to the entire aspect of the study, a Likert scale should be generated to determine the state of job satisfaction of the staffs. The Likert scale is a prime psychometric scale that is often utilized in questionnaires and is the widest scale to be incorporated in research surveys. Additionally, when exclusively responding to an item in a questionnaire designed by the Likert technique, the subject must specify the level of agreement or general disagreement with a statement, data item or items. The scale is extensively named after Rensis Likert, solemnly published a report in the year 1932 that describes its use. Additionally, this scale, consisting of various questions with varying response options, should be validated by at least three experts, two of which should be from the team that contributed in the formulation of the questionnaires (Joshi, 2015, p396).
Sample Research Questions
a. Closed questions
Does your organization offer fitness facilities? {Yes or No}
Do you get job satisfaction from the fitness facility provided by your organization provides? {Yes or No}. On the scale of one to ten, how does the satisfaction motivate you towards working for your organization?
On the scale of one to ten, fitness facilities are an effective incentive for other employees?
b. Open-ended questions
What measures has your organization put in place to maintain the sustainability of the fitness program?
In general, do you think the idea of providing fitness facilities should be adopted on a wider scale in the industry? explain
The observation of employee performance
In the observation method, often called field observation, the behavior of the subjects is observed closely. We have two main types of observational study namely naturalistic observations and controlled observations. The greatest benefit of naturalistic observations is that the researcher can observe subjects in their normal settings. According to proponents, there is a greater ecological legitimacy in of naturalistic observation than controlled observations; Ecological validity refers to the degree to which research can be used in real-life situations. Advocates of controlled observations often submit that owing to greater control, the outcomes obtained during observation in a controlled environment are more significant than those attained using naturalistic observations. Controlled observations entirely consume less time and are less expensive than naturalistic observations. Indeed, in our study the method we are going to rely on in determining employee productivity, and work motivation are controlled observation. In that case, the study might be biased because participates may not behave as they would in their normal settings. As well, this is a possible limitation. Be that as it may, we will enjoy the luxury of reduced cost and time (Altmann, 2006, p 230).
The controlled observation can be complemented by Sentiment analysis. This is another technique of data analysis that has emerged thanks to social media rapidly. Try to determine the connections between groups or individuals to particular topics. It is utilized when it comes to an understanding the particulars of various influences intermingling in a field. The biggest challenge when it comes to this kind of analysis is its highly subjective nature which is not easy to evaluate overall (Altmann, 2006, p 230).
Data Analysis
All questioners should be administered during a survey. During the survey, Participants answer questions posed by interviews or questionnaires. After the participants answered the questions, the researchers described the answers given. For the survey to be reliable and valid, it is crucial that the questions are correctly prepared. Questions should be written to be easy and understood. Data obtained from individual questionnaires should be codded and analyzed statistically by employing the Statistical Package for Social Sciences (SPSS) and summed up regarding percentages (Hill & Brierley, 2017, p14).
After analyzing the data, a trend can be determined by visualizing the data. Data definition is one of the most important data analysis techniques that are accepted today because it is easy to explore patterns in data through image or image. It is especially important when we try to understand a large amount of data fast and easily. Infographics and graphics are the most popular form of this method using the table and data or instant-type app. Once you get a full picture, you can follow an educational text analysis. This statistical analysis method uses information from scholarly articles about trends and relationships between research on the same topic. It is one of the most utilized methods in the tracing trends in the field you were given (Ryan, 2015, p23).
As a back up to SPSS, the R statistical should be put on standby. The software is effective in manipulating, modifying and performing mathematical operations in a data matrix. The R software offers the luxury of using a payment free top-level software, as well as greater control of the analyzes conducted, extensive documentation, and a programming environment developed for statistical applications and with the ability to be employed in other quantitative areas of different disciplines.
Also, before choosing this design, possible challenges and limitations were recognized. For example, in circumstances where related consultations of two organizations are carried out, such as investigating the consequences of a subject exposed to the influencing factor. Additionally, another without exposure, a researcher cannot control external influences or be confounding variables that may affect the results in the two groups as the nature of management or the culture of the organization. Due to the lack of randomization in the selection of participant organizations, the external legitimacy of the findings could be less than in the research designs where the participants are randomly assigned. Despite that, our study direction will not necessarily be affected by the lack of randomness in the selection of the participating organizations because the correlational part of the study is not contingent to randomization. In fact, randomization might prove difficult because of informed consent. As stated earlier, since controlled observations are going to be part of the study, the results might be biased because participates may not behave as they would in their normal settings (Palinkas, 2015, p539).
Moreover, accurate assessment of the impact of welfare programs in the workplace presents some challenges, since there is no industry standard to measure the effectiveness of welfare programs. The evaluation challenges include accounting for all costs, as well as the difficulties in measuring the subtlest results of the program, such as employee satisfaction. According to the CDC, corporate welfare programs should incorporate a system for tracking outcome measures, such as productivity, health outcomes, and healthcare costs, and if the program creates a “health culture.” Incorporation of biometric systems to track employees’ health status and measurement surveys Employee morale can help an entrepreneur to effectively assess the multifaceted impact of their wellness program in the workplace (Palinkas, 2015, p535).
Consideration of Ethics
Before commencing with the study, it is key to obtain consent from the participants to avoid any legal and ethical consequences. Informed consent is one of the most significant aspects of research, since thousands of people have been violated, intimidated or coerced when subjected against their will to participate in a study. Participants in research are protected by the law against violation of human rights, guaranteed freedom of choice, dignity, and against cruel treatment and degrading (Bailey, 2017, p12).
One of the essential presuppositions within scientific research is the patient’s consent, which must be granted freely, clearly, spontaneously, voluntary and conscious, once the researcher has informed participants of the nature of the intervention, with its risks and benefits. The legal nature of the act is governed by the contractual matter, so the contracts for medical services are perfected with the consent of the parts. Hence, a researcher who does not inform the participant, or, when not obtains the consent of the participants, is assuming the risks or consequences of the study. The study at hand, however, carries no serious, foreseeable consequences on the participant’s side. Nevertheless, it does not mean that we should ignore seeking consent from the studies participants (Bailey, 2017, p12).
References List
Altmann, J., (2006). An observational study of behavior: sampling methods. Behavior, 49(3), pp.227-266.
Bailey, C.R., and Bailey, C.A., (2017). A guide to qualitative field research. Sage Publications.
Hill, N. and Brierley, J., (2017). How to measure customer satisfaction. Routledge.
Joshi, A., Kale, S., Chandel, S. and Pal, D.K., (2015). Likert scale: Explored and explained. British Journal of Applied Science & Technology, 7(4), p.396.
Palinkas, L.A., Horwitz, S.M., Green, C.A., Wisdom, J.P., Duan, N. and 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), pp.533-544.
Periasamy, M.N., (2016). Analysis of Employee Welfare. International Journal for Research in Business, Management, and Accounting, 2(4), pp.170-176.
Robinson, O.C., (2014). Sampling in interview-based qualitative research: A theoretical and practical guide. Qualitative Research in Psychology, 11(1), pp.25-41.
Ryan, J., (2015, September). Communicating research via data visualization. In National Data Integrity Conference-2015. Colorado State University. Libraries.
Skolt, M. 2012. Population-based cohort studies. Epidemiologic reviews, 20(1), 81-90.
Sorlie Paul and Wei S. Gina. (2011). Population-Based Cohort Studies: Still Relevant? Journal of the America College of Cardiology. Pages 2010-2013. Retrieved from:

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