Home > Free Essays > Business > Case Study > Foundation of Business – Beaufidul Limited
Cite this

Foundation of Business – Beaufidul Limited Report


Executive summary

In the paper, a research is carried out to determine the effectiveness of four initiatives that are put in place by the management of Beaufidul Limited to improve the level of employee satisfaction in the company. The company had a declining trend in the level of profit due to lack of motivation among the employees. Questionnaires were sent to a sample of 500 employees and only 445 responded.

The analysis shows that resources & training and promotion process are the most significant determinants of employee satisfaction in the company. As a recommendation, the management needs to improve the level of satisfaction among male, full-time and part-time employees. Also, also the management needs to review and improve the promotion process, resources and training in the company.

Introduction

Beaufidul Limited, a company that manufactures a variety of beauty products, was experiencing a decline in the bottom line. The drop in perform was caused by staff-related issues. Specifically, the company was experiencing high turnover and absenteeism of employees.

Thus, the management established that low employee satisfaction contributed immensely to the poor performance. In response to these problems, the management came up with four initiatives that aimed at improving overall satisfaction of the employees. In this paper, analysis will be carried using various tools to establish the effectiveness of these measures.

Research design

A survey was conducted in the company to collect data. The questionnaire that was used to collect the data had three sections. The first section had five questions that focused on personal information such as gender, age, and income among others. The second section has one question that was dedicated on the level of employee satisfaction. A Likert scale of ten points was used to collect some data (Bade & Parkin, 2013).

The final section concentrated on determinants of employee satisfaction. Four questions were asked in this section and each had a Likert scale of ten points. The random sampling technique was used to select a sample of 500 customers. 100 employees were selected from each of the five departments. The questionnaires were sent to the 500 customers and only 445 responded (Zikmund, Babin, Carr, & Griffin, 2012).

Analysis

The first test shows that the overall employee satisfaction is statistically different from the goal of 6 out of 10 (Baltagi, 2011). The estimated mean is 5.59 and it is less than the goal. The result of the second question shows that the satisfaction of male employees is lower than that of female employees.

The third test indicates that there is a difference in the overall satisfaction across the various bases of employment. Further, there is a difference in the gender composition across the five departments as indicated in the fourth test. The level of employee satisfaction in response to the initiatives of ‘increased communication with management’ and ‘resources & training’ differs as indicated by the results of the fifth test.

The sixth test shows that there is a negative relationship between the employee’s years of employment and their overall satisfaction. The final test shows that ‘resources & training’ and ‘promotion process’ are the significant independent variables while ‘salary’ and ‘level of communication with management’ are insignificant variables (Verbeek, 2008).

Recommendations

The analysis above shows that the goal was not attained. Thus, the management needs to take into account some of the recommendations that are summarized below.

  • The level of satisfaction of male employees should be improved.
  • There is a need to implement measures that can improve the level of satisfaction of full-time and part time employees.
  • The company should increase the availability of ‘resources and training’. This will improve the quality of service delivery.
  • The process of promotion in the company needs to be reviewed and improved because it has a significant impact on overall employee satisfaction.

References

Bade, R., & Parkin, M. (2013). Essential foundations of economics. USA: Pearson Education.

Baltagi, B. (2011). Econometrics. New York: Springer Publisher.

Verbeek, M. (2008). A guide to modern econometrics. England: John Wiley & Sons.

Zikmund, W., Babin, B., Carr, J., & Griffin, M. (2012). Business research methods. USA: Cengage Learning.

Appendix

Hypothesis Test 1

Does the current level of employee satisfaction differ from management’s goal of 6 out of 10?

Null hypothesis: The current level of customer satisfaction = 6.

Alternative hypothesis: The current level of customer satisfaction ≠ 6.

Statistical test

In this case a one sample t-test will be used to test the hypothesis. This is based on the fact that customer satisfaction is a continuous variable.

Test in Excel: t-test: paired two sample for means

Results

t-Test: Paired Two Sample for Means
Variable 1 Variable 2
Mean 5.588764045 6
Variance 5.089513109 0
Observations 445 445
Pearson Correlation
Hypothesized Mean Difference 0
Df 444
t Stat -3.84532424
P(T<=t) one-tail 6.8998E-05
t Critical one-tail 1.648292755
P(T<=t) two-tail 0.000137996
t Critical two-tail 1.965321285

Interpretation

The mean of employee satisfaction is 5.59. The results show that t-calculated is greater than t-critical. Also, the p-value (0.000137996) is less than alpha (0.05). Therefore, the null hypothesis will be rejected at the 95% confidence level. This implies that the current level of customer satisfaction differ from management’s goal of 6 out of 10.

Hypothesis Test 2

Is there any difference between the overall satisfaction of male and female employees within the business?

Null hypothesis: There is no difference in the overall satisfaction of male and female employees.

Alternative hypothesis: There is a difference in the overall satisfaction of male and female employees.

Statistical test

Independent sample t-test will be used to test the hypothesis. This can be attributed to the fact that employee satisfaction between two mutually exclusive groups will be compared.

Test in Excel: t-Test: Two-Sample Assuming Unequal Variances

Results

t-Test: Two-Sample Assuming Unequal Variances
Variable 1 Variable 2
Mean 4.857798165 6.290748899
Variance 4.270008033 4.888542357
Observations 218 227
Hypothesized Mean Difference 0
Df 443
t Stat -7.066280319
P(T<=t) one-tail 3.10771E-12
t Critical one-tail 1.648300534
P(T<=t) two-tail 6.21541E-12
t Critical two-tail 1.96533341

Interpretation

The mean satisfaction for female employees is 4.86 while for male employees is 6.29. Further, t-calculated (7.066) is greater than t-critical (1.96). Also, the p-value (6.21541E-12) is less than alpha (0.05). Therefore, the null hypothesis will be rejected at the 95% confidence level. This implies that there is a difference between the overall satisfaction of male and female employees.

Hypothesis Test 3

Are there any differences in the overall employee satisfaction across the three bases of employment?

Null hypothesis: There is no difference in the employee satisfaction across the various bases of employment.

Alternative hypothesis: There is a difference in the employee satisfaction across the various bases of employment.

Statistical test

ANOVA is the most suitable technique for testing hypothesis that entails comparing the mean of more than one group. One way ANOVA will be used because there is only one independent variable.

Test in Excel: ANOVA: Single Factor

Results

Anova: Single Factor
SUMMARY
Groups Count Sum Average Variance
Casual 79 505 6.392405 4.523531
Part time 101 594 5.881188 5.685743
full time 265 1388 5.237736 4.719783
ANOVA
Source of Variation SS df MS F P-value F crit
Between Groups 92.3115 2 46.15574 9.412445 9.9E-05 3.01613
Within Groups 2167.43 442 4.903693
Total 2259.74 444

Interpretation

The mean level of satisfaction for casual employees is 6.39, 5.88 for part-time, and 5.24 for full-time employees. In the results above, the value of F-calculated (9.41) is greater than the F-critical (3.02). Besides, the p-value (9.9E-05) is less than alpha (0.05). Therefore, the null hypothesis will be rejected at the 95% confidence level. This implies that there is a difference in the overall satisfaction across the various bases of employment.

Hypothesis Test 4

Are there any differences in the gender compositions across the five departments?

Null hypothesis: There are no differences in gender composition across the five departments

Alternative hypothesis: Gender composition is different in at least one of the departments.

Statistical test

A Chi-squared test will be used in this case because a comparison is made between two definite variables.

Test in Excel: Chi-square test

Results

Observed values
Accounting Sales & marketing R&D Purchasing Manufacturing Total
Male 48 32 22 40 76 218
Female 31 69 71 42 14 227
Total 79 101 93 82 90 445
Expected values
Accounting Sales & marketing R&D Purchasing Manufacturing Total
Male 38.7011236 49.47865169 45.55955 40.170787 44.08988764 218
Female 40.2988764 51.52134831 47.44045 41.829213 45.91011236 227
Total 79 101 93 82 90 445
CHI-TEST 1.1081E-17

Interpretation

The p-value (1.1081E-17) is less than the alpha (0.05). Thus, the null hypothesis will be rejected and this implies that there is a difference in the gender composition across the five departments.

Hypothesis Test 5

Is there any difference in employee satisfaction in response to the initiatives of ‘increased resources and training’ and ‘increased communication with management’?

Null hypothesis: Employee satisfaction in response to the initiatives of ‘increased resources and training’ equals to satisfaction in response to ‘increased communication with management’

Alternative hypothesis: Employee satisfaction in response to the initiatives of ‘increased resources and training’ is not equal to satisfaction in response to ‘increased communication with management’

Statistical test

In this case, a paired sample t-test will be used to test the hypothesis. The test is the most suitable for comparing the mean of two related variables.

Test in Excel: t-Test: Paired two samples for means

Results

t-Test: Paired Two Sample for Means
Resources and training Increased communication
Mean 6.2 6.950561798
Variance 6.714414414 5.619171981
Observations 445 445
Pearson Correlation 0.048180595
Hypothesized Mean Difference 0
Df 444
t Stat -4.620628718
P(T<=t) one-tail 2.51033E-06
t Critical one-tail 1.648292755
P(T<=t) two-tail 5.02065E-06
t Critical two-tail 1.965321285

Interpretation

The mean level of employee satisfaction in response to initiative of ‘resources and training’ is 6.2 and ‘increased communication with management’ is 6.95. The results show that t-calculated (-4.62) is greater than t-critical (1.96). Also, the p-value (2.51E-06) is less than alpha (0.05). Therefore, the null hypothesis will be rejected at the 95% confidence level. This implies that there a difference in employee satisfaction in response to the initiatives of resources and training and increased communication with management.

Hypothesis Test 6

Is there a relationship between an employee’s years of employment and their overall satisfaction?

Null hypothesis: There is no relationship between years of employment and their overall satisfaction.

Alternative hypothesis: There is a relationship between years of employment and their overall satisfaction.

Statistical test

Simple regression – this test will establish if there is a linear relationship between overall employee satisfaction (dependent variable) and employees’ years of employment (independent variable).

Test in Excel: Regression

Results

Regression Statistics
Multiple R 0.857319
R Square 0.734995
Adjusted R Square 0.734397
Standard Error 1.162665
Observations 445
ANOVA
df SS MS F Significance F
Regression 1 1660.901 1660.9 1228.67 8E-130
Residual 443 598.8426 1.3518
Total 444 2259.744
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 8.179436 0.092197 88.717 3E-284 7.9982 8.36063 7.99824 8.36063
Years of employment -0.298434 0.008514 -35.05 8E-130 -0.3152 -0.2817 -0.3152 -0.2817

Interpretation

The value of R-square shows that the number of years of employment explains 73.50% of variation in employee satisfaction. Further, the value of significance F (8E-130) is less than alpha (0.05). This implies that the overall regression line is significant and that the independent variable explains a significant proportion of the dependent variable.

Further, the significance value of the t-statistic (8E-130) is less than the alpha (0.05). This shows that the independent variable is significant. Thus, the null hypothesis will be rejected and this implies that there is a relationship between the employee’s years of employment and their overall satisfaction.

Hypothesis Test 7

Are any of the initiatives proposed by management related to the overall satisfaction of Beaufidul Limited employees?

Null hypothesis: There is no relationship between the initiatives proposed by the management and the overall satisfaction of Beaufidul Limited employees.

Alternative hypothesis: There is at least one relationship between the initiatives proposed by the management and the overall satisfaction of Beaufidul Limited employees.

Statistical test

Multiple regression analysis – this test will establish if there is a linear relationship between overall employee satisfaction (dependent variable) and other independent variables.

Test in Excel: Regression

Results

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.92948
R Square 0.863933
Adjusted R Square 0.862696
Standard Error 0.835948
Observations 445
ANOVA
df SS MS F Significance F
Regression 4 1952.27 488.067 698.427 5E-189
Residual 440 307.476 0.69881
Total 444 2259.74
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 1.587012 0.19798 8.01604 9.9E-15 1.19791 1.97612 1.19791 1.97612
Salary 0.015156 0.01632 0.92878 0.35351 -0.01691 0.04723 -0.0169 0.04723
Resources and training 0.034421 0.01675 2.05444 0.04052 0.00149 0.06735 0.00149 0.06735
Level of communication with management 0.013664 0.01678 0.81422 0.41596 -0.01932 0.04665 -0.0193 0.04665
Promotions 0.964636 0.02039 47.3024 1E-174 0.92456 1.00472 0.92456 1.00472

Interpretation

The value of R-square shows that explanatory variables explain 86.39% of variation in employee satisfaction. Further, the value of significance F (5E-189) is less than alpha (0.05). This implies that the overall regression line is significant and that the independent variables explain a significant proportion of the dependent variable.

Further, the p-values of t-test show that ‘resources & training’ and ‘promotion process’ are the significant independent variables while salary and ‘level of communication with management’ are insignificant variables. Thus, the null hypothesis will be rejected and this implies that there is at least one relationship between the initiatives proposed by the management and the overall satisfaction of Beaufidul Limited employees.

This report on Foundation of Business – Beaufidul Limited was written and submitted by your fellow student. You are free to use it for research and reference purposes in order to write your own paper; however, you must cite it accordingly.

Need a custom Report sample written from scratch by
professional specifically for you?

Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar
Writer online avatar

301 certified writers online

GET WRITING HELP
Cite This paper

Select a url citation style:

Reference

IvyPanda. (2019, June 24). Foundation of Business - Beaufidul Limited. Retrieved from https://ivypanda.com/essays/foundation-of-business-beaufidul-limited/

Work Cited

"Foundation of Business - Beaufidul Limited." IvyPanda, 24 June 2019, ivypanda.com/essays/foundation-of-business-beaufidul-limited/.

1. IvyPanda. "Foundation of Business - Beaufidul Limited." June 24, 2019. https://ivypanda.com/essays/foundation-of-business-beaufidul-limited/.


Bibliography


IvyPanda. "Foundation of Business - Beaufidul Limited." June 24, 2019. https://ivypanda.com/essays/foundation-of-business-beaufidul-limited/.

References

IvyPanda. 2019. "Foundation of Business - Beaufidul Limited." June 24, 2019. https://ivypanda.com/essays/foundation-of-business-beaufidul-limited/.

References

IvyPanda. (2019) 'Foundation of Business - Beaufidul Limited'. 24 June.

Related papers