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- 1. Business Research Project Part 2: Literature Review Arlene Romero-Cruz, David Coleman, Felicia Clemons, Nicole Dulimba, Marchelle Lee and Matthew O'Leary QNT 561 April 6, 2015 Kenneth Le Cour Running head: BUSINESS RESEARCH PROJECT PART 2: LITERATURE REVIEW 1 BUSINESS RESEARCH PROJECT PART 2: LITERATURE REVIEW 4 Business Research Project Part 2: Literature Review TTA is one of the leading telecommunications companies in the nation. The organization employs tens of thousands of employees and prides itself on recognition as one of the top 100 companies to work for in the United States. TTA wants all of its employees, from executive leaders to call center reps, to feel satisfied in their job and TTA takes an active role to ensure that this is the case. The human resource management team at TTA is concerned about the level of job satisfaction between day shift employees and back shift employees. In an effort to address this potential
- 2. problem, the team will look at the relationship between the dependent variable of job satisfaction and if it correlates to the independent variable of the employee shift. Research Question - Revised Are second shift (IV) employees less satisfied (DV) than first shift employees? The human resource team conducted research relative to employee shift and job satisfaction. Peter Finn notes a couple of benefits to shift work which include flexibility in finding a job as well as increased income due to shift premiums. He also notes several drawbacks which include health concerns due to changes in sleep quality, less time spent with family, and a negative impact on social life (Finn, 1981). Additionally, according to Werling (2008), "compensation/pay, benefits, job security, flexibility to balance work/life issues and communication between employees and senior management were the top five contributors to job satisfaction, according to employees" (para 2). This detail will help guide the management team to determine overall job satisfaction for second shift employees at TTA. Hypothesis Statements 1. There is no relationship between worker satisfaction (DV) and certain shifts (IV). Employee dissatisfaction stems from a disconnection between ideals and work activities. Mundane and monotonous activities account for employee dissatisfaction. The dissatisfaction eventually affects an employee’s work ethic and production levels. 2. There is a relationship between worker satisfaction (DV) and certain shifts (IV). Content employees are necessary for business representation. Offering alternative work schedules is helpful. Creative shift- schedule options and management-employee scheduling consensus coincide to address business needs, worker
- 3. preferences and efficiently productive employees with work and home-life balance. Conclusion The human resources team can conclude that by using the formula f(x) the independent variable are the shifts because that is what can be changed to affect the dependent variable. The dependent variable or worker satisfaction is what are analyzing to improve overall employee satisfaction at TTA. Employees are the vital resource of any organization. To understand what motivates employees and how to motivate them for employee satisfaction, which will lead to organizational performance, is invaluable. Acknowledgement and recognition will build the difference in employee’s performance. Reference Finn, P. (1981). The effects of shift work on the lives of employees. Retrieved from http://www.companiongroup.com/UserFiles/compgroup/Docume nts/Safety%20%20Risk%20Management/Effects%20of%20Shift %20Work.pdf Werling, M. (2008, August). Survey Details Job Satisfaction Criteria. Benefits Selling. (), . Retrieved from http://search.proquest.com.contentproxy.phoenix .edu/docview/853417963?accountid=458 SHORT TITLE OF PAPER 1 Running head: DESCRIPTIVE STATISTICS 1Comments marked in red Descriptive Statistics QNT/561 April 13, 2015
- 4. Kenneth Le Cour Descriptive Statistics Numeric Variable Shift 1 Central Tendency: Mean = 997 Dispersion: Standard Deviation = 20 Number: Count = 59 Min/Max: 959 and 1034 Confidence Interval: (if distribution is normal) – 992 to 1002 Numeric Variable Shift 02 Central Tendency: Mean = 881.54 Dispersion: Standard deviation = 17.681 Number: Count=59 Min/Max: 847 & 913 Confidence Interval: (if distribution is normal) – 876.94 to 886.15 Your data is good. What do these variables represent? Is your data normally distributed? Attribute Variable Name: Date Create a bar chart. Describe the proportions. What is this chart telling you? What are these graphs telling you? Descriptive Statistics Interpretation The production yield with respect to date is used for the analysis of shift 1 and it can be seen from the bar charts that the production intensity is high in five to six days. But as the time increases, the production decreases. The standard deviation of the production is 19.856 and we are 95% sure that the production ranges between 992 and 1038. The production yield with respect to date is used for the analysis of shift 2 and it can be seen from the bar charts that the production intensity is high in six to seven days. The mean of the production in shift 2 is 881.54. The production was high in
- 5. the start of January and then decreases in next month. It means that the date provided the best estimation of the production in shift 2. The standard deviation of the production is 17.86 and we are 95% sure that the production ranges between 876 and 886. Good. Your paper is good. This is a good opportunity to start reviewing the data for your project. This review should provide you an opportunity to see if you need to reconsider the data, you are collecting for your project. Will you be able to test your data statistically? Content 70 Percent Met Partially Met Not Met Comments: Creation of a Microsoft® Excel® spreadsheet with the two variables from your learning team’s dataset. X Analysis of the data with MegaStat®, StatCrunch®, Microsoft® Excel® or other statistical tool(s), and includes the following: (a) Descriptive stats for each numeric variable (b) Histogram for each numeric variable
- 6. (c) Bar chart for each attribute (non numeric) variable (d) Scatter plot if the data contains two numeric variables X Use of the Individual Methodology Findings Template to complete the descriptive statistics. X Determination of the appropriate descriptive statistics which included one of the following: (a) For normally distributed data use the mean and standard deviation. (b) For significantly skewed data use the median and interquartile range. X Use of the Descriptive Statistics and Interpretation Example to develop an interpretation of the descriptive statistics. X
- 7. Appendix A Raw data used in the analysis Date Shift 1 Shift 2 01-Jan-13 1000 890 02-Jan-13 1010 892 03-Jan-13 1030 910 04-Jan-13 999 883 05-Jan-13 1004 887 06-Jan-13 1001 882 07-Jan-13 1000 890 08-Jan-13 1010 892 09-Jan-13 1030
- 12. 849 27-Feb-13 966 853 28-Feb-13 963 849 Appendix B Charts and Tables Shift 1 Frequency Distribution - Quantitative
- 14. 960 < 970 965 10 6 10.2 8 13.6 970 < 980 975 10 1 1.7 9 15.3 980 < 990 985 10 10 16.9 19 32.2 990 <
- 24. Shift 2 Frequency Distribution - Quantitative Shift 2
- 28. 59 100.0
- 36. sample variance 393.49 sample standard deviation 19.84 minimum 959 maximum 1034 range 75
- 37. confidence interval 95.% lower 992.05 confidence interval 95.% upper 1,002.39 half-width 5.17
- 38. 1st quartile 984.50 median 1,001.00 3rd quartile 1,009.00 interquartile range 24.50 mode 1,004.00
- 39. low extremes 0 low outliers 0 high outliers 0 high extremes 0
- 45. confidence interval 95.% lower 876.85 confidence interval 95.% upper 886.06 half-width 4.60
- 46. 1st quartile 872.00 median 885.00 3rd quartile 892.50 interquartile range 20.50 mode 893.00
- 47. low extremes 0 low outliers 0 high outliers 0
- 48. high extremes 0