Business Modelling and Analysis of the Employees of the Law Firm

Question: Discuss about the Business Modelling and Analysis. Answer: Introduction The present study analysis productivity, job satisfaction, stress and peer support of the employees of the law firm. The analysis measures the variables with relation to the use of social media by the employees. Data from 810 employees of the firm were taken. For the analysis a smaller data of 100 employees was selected. The data contains information regarding age, gender and time spent by the employees on social media. Special software installed by the law firm in January 2017 measured the time spent by the employees on social media. The variables of the study were self ranked by the employees in the end of January. Special software blocked the access to social media sites in the first week of February. The employees were again asked to self rank the variables in last week of April. The difference in productivity, job satisfaction, stresses and peer support of the employees between last week of January and April is analysed. Margaret, partner in law firm implemented the initiative ( of blocking access to social media) to increase productivity and reduce stress among the employs. The analysis of the data investigates the difference in stress level and peer support of the employees before and after the initiatives. An attempt is also made to predict the relationship between time spent by the employees on social media and productivity and job stress. Analysis: Descriptive Statistics Gender The analysis of the gender profile of the employees of the law shows that 49% of the employees are females while 51% are males (Table 1, Figure 3). Age The average (standard deviation) of the employees of the law firm is 41.35 (14.59) years. The median age of the employees is 41 years. The minimum and maximum age of the employees is 18.2 and 69.7 years respectively. Thus the range of age of the employees is 51.5 years. 50% of the employees are the age range of 28.05 and 53.75 years. The variability in age from the mean is 35.30% (table 2). Age of the employees is distributed across all age groups (table 3, figure 4). Time on SM The average (standard deviation) time employees of the law firm spend on social media before the initiative was implemented is 1.35 (1.08) hours per day. Most of the employees of the firm did not spend time on social media. 50% of the employees of the firm spend 2 hours/day on social media (table 4). Most of the employees of the firm spend less than 0.3 hours/day (figure 5). Productivity Average (standard deviation) productivity of the employees is 16.22 (6.52) hours. Maximum number of employees has a productivity of 25 hours. The range of productivity of the employees is 31.6 hours. 50% of the employees have a productivity of 9 hours. The variability in productivity from the mean is 40.17% (table 5). Job Satisfaction The maximum number (15) of employees have a job satisfaction level of 8 (table 6). The least number of employees have a satisfaction level of 6 (figure 7). Stress Level Most of the employees (25) of the law firm had a stress level of 1 (table 6). Very few employees (4) had a maximum stress level of 6 before implementation of the initiative (figure 7). Peer Support The maximum number (15) of employees have a peer support level of 6 (table 6). The least number of employees (5) have a satisfaction level of 8 (figure 7). 10 employees of the law firm have the least satisfaction level (1). Confidence Interval Confidence Interval 1 We are 95% confident that the average age of the employees lies within the limits of 38.49 and 44.21 years. The mean age of the employees is 41.35 years. The 95% confidence interval would mean that if we take another random sample of 100 employees then the average age of the employees would lie within the range of 38.49 and 44.21 years (table 7). Confidence Interval 2 We are 95% confident that the average time spent by the employees on social media lies within the limits of 1.14 and 1.56 hours / day. The mean time spent by the employees of the law firm on social media is 1.35 hour/day. The 95% confidence interval would mean that if another random sample of 100 employees of the law firm is taken then the average time that they would spend on social media would lie within the range of 1.14 and 1.56 hours / day (table 8). Hypothesis Testing Hypothesis Testing 1 A two-tailed independent sample t-test was done to test the hypothesis that female employees of the law firm spend more time on social media as compared to male employees. The test showed that there was statistically no significant differences between the average time spend by females (1.37hours/day) and males (1.34hours/day) on social media, t(98) = 0.111, p-value =0.912 (table 9). Thus, the average time spent by female employees of the law firm (1.37 hours/day) is equivalent to the average time spent by male employees of the law firm (1.34 hours/day). Hypothesis Testing 2 A two-tailed paired sample t-test was done to test the hypothesis that there is no change in stress levels of the employees. The test showed that there was statistically significant differences in the average stress levels of the employees, before (2.81) and after (2.48) implementation of the initiatives, t(99) = 6.983, p-value 0.001, less than 0.05, level of significance (table 10). Thus, the implementation of the initiatives has decreased the average stress level before (2.81) implementation to 2.48, average stress level after implementation. Hypothesis Testing 3 A two-tailed paired sample t-test was done to test the hypothesis that the average support from the peers has increased after implementation of the initiatives. The test showed that there was statistically significant differences in the average support from the peer, before (5.79) and after (6.31) implementation of the initiatives, t(99) = 2.762, p-value =0.007, less than 0.05, level of significance (table 11). Thus, the implementation of the initiatives has increased the support of the employees from the peers, from 5.79 (before) to 6.31 (after). Correlation and regression Regression 1 The relation between time spent by the employees of the law firm on social media and productivity, before implementation of the initiatives is shown in figure 1. Figure 1: Relation between times spent on social media and productivity In the Above figure the average time spent by the employees on social media is predicted with productivity. From the above figure it is seen that R2 = 0.7501. R2 is known as the coefficient of determination. Hence, 75.01% in the variability in average time spent by the employees on social media can be predicted through productivity. From table we find that multiple R = 0.8661 (table 13). Multiple R is also known as correlation coefficient between times spent on social media and productivity. Hence time spent by the employees of the law firm and productivity has a correlation r = 0.8661. Hence the correlation is strong, positive and linear. The regression equation for time spent on social media by the employees (table 12): Time spent on social media = 3.685 0.144*Productivity From table 14 it is seen that F(1,98) = 294.138, p-value 0.001, less than 0.05, level of significance. Thus there is statistically significant relationship between time spent on Social media and productivity of the employees before implementation of the initiatives. Regression 2 The relation between time spent by the employees of the law firm on social media and job satisfaction, before implementation of the initiatives is shown in figure 2. Figure 2: Relation between times spent on social media and job satisfaction In figure 2 the average time spent by the employees on social media is predicted with job satisfaction. From the above figure it is seen that R2 = 0.0018. Thus, 0.18% in the variability in average time spent by the employees on social media can be predicted through job satisfaction. . From table we find that multiple R = 0.0419 (table 16). The time spent by the employees of the law firm and job satisfaction has a correlation r = 0.0419. Hence the correlation is very weak, positive and linear. The regression equation for time spent on social media by the employees (table 15): Time spent on social media = 1.267 +0.016*Job Satisfaction From table 17 it is seen that F(1,98) = 0.173, p-value =0.679, more than 0.05, level of significance. Thus there is statistically no significant relationship between time spent on Social media and job satisfaction of the employees before implementation of the initiatives. Conclusion and Recommendation The analysis of the data of the employees shows that there are an equal proportion of males and females in the law firm. Male and female employees of the firm spent on an average equal amount of time on social media before the implementation of the initiative. There has been a reduction in the average stress level due to implementation of the initiative. In addition the implementation of the initiative has helped he employees to increase support of the peers. There is a strong correlation between productivity and time spent on social media before the implementation of the initiative. On the other hand there is a weak correlation between time spent by the employees on social media and job satisfaction before the initiative. The limitations of the present study are that the data of only a section of the employees have been studied. Similar studies with fresh set of data would substantiate the findings of Margaret.