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Thursday, March 14, 2019

Markov Analysis

1. Describe the internal labor market of the smart set in terms of trouble stability (staying in same job), advance paths and rates, transfer paths and rates, demotion paths and rates, and turnover (exit) rates. Transition Probabilities for 2010-2011 gross sales, Full-time 1. 50% stayed the same 2. 10% transferred to part-time position 3. 5% were promoted to Asst. gross sales Mgr. 4. 0% were promoted to regional gross sales Mgr. 5. 35% left the organisation gross sales, Part-time 1. 5% transferred to full-time status . 60% stayed the same 3. 10% were promoted to Asst. Sales Mgr. 4. 0% were promoted to neighborhoodal Sales Mgr. 5. 25% left the organization Asst. Sales Mgr. 1. 5% were demoted to full-time sales 2. 0% were demoted to part-time sales 3. 80% stayed the same 4. 10% were promoted to Regional Sales Mgr. 5. 5% left the organization Region Sales Mgr. 1. 0% transferred to another job 2. 70% Stayed the same 3. 30% left the organization 2. Forecast the numbers available in each job crime syndicate in 2013.Job 2012 Category Employees SF SP ASM RSM TOTAL EXIT Sales Full-time (SF) cholecalciferol 250 50 25 0 325 175 Sales Part-time (SP) cl 7. 5 90 15 0 112. 5 37. 5 Asst. Sales Mgr. (ASM) 50 2. 5 0 40 0 47. 2. 5 Region Sales Mgr. (RSM) 30 0 0 0 21 21 9 Work Sales Full-Time (SFT) Sales Part-Time(SPT) Asst. Sales Mgr(ASM) Reg Sales Mgr a. ) . 50 x 500 = 250 b. ) . 05 x one hundred fifty = 7. 5 c. ) . 05 x 50 = 2. 5 d. ) . 70 x 30 = 21 . 10 x 500 = 50 . 60 x 150 = 90 . 80 x 50 = 40 . 30 x 30 = 9 . 05 x 500 = 25 . 0 x 150 = 15 . 10 x 50 = 5 . 35 x 500 = 175 . 25 x 150 = 37. 5 . 05 x 50 = 2. 5 3. Indicate potential limitations to your forecasts. A. ) As a rule, it is loveable to have 20 or more employees in each job category/level. Some of the cells contain less than 20 cases. So the estimates base on these figure can yield unstable estimates of future availabilities. B. ) on that point is a possibility of results not being accurate due to sevenfold moves by employees.The analysis cannot detect multiple moves by employees between T and T+1 it only classifies employees and counts their movement according to their beginning (T) and finis (T+1) job category/level, ignoring any intermittent moves. C. ) The forecast assumes that all employees in a job category/level have an equal fortune of movement. This is unrealistic because organizations take many factors into account. Because of these factors, the probabilities of movement may vary among peculiar(prenominal) employees.

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