Square
Std. Error of the Estimate
1
.594a
.353
.348
11.87167
a. Predictors: (Constant), IT.az100

ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
9467.436
1
9467.436
67.175
.000b

Residual
17335.191
123
140.937

Total
26802.627
124

a. Dependent Variable: janeshin.az100
b. Predictors: (Constant), IT.az100

Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.

B
Std. Error
Beta

1
(Constant)
.483
5.358

.090
.928

IT.az100
.610
.074
.594
8.196
.000
a. Dependent Variable: janeshin.az100

Regression

Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
TM.az100b
.
Enter
a. Dependent Variable: janeshin.az100
b. All requested variables entered.

Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.482a
.232
.226
12.93771
a. Predictors: (Constant), TM.az100

ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
6214.345
1
6214.345
37.126
.000b

Residual
20588.283
123
167.384

Total
26802.627
124

a. Dependent Variable: janeshin.az100
b. Predictors: (Constant), TM.az100

Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.

B
Std. Error
Beta

1
(Constant)
13.128
5.122

2.563
.012

TM.az100
.605
.099
.482
6.093
.000
a. Dependent Variable: janeshin.az100

REGRESSION
/MISSING LISTWISE
/STATISTICS COEFF OUTS R ANOVA
/CRITERIA=PIN(.05) POUT(.10)
/NOORIGIN
/DEPENDENT janeshin.az100
/METHOD=ENTER IT.az100.

Regression

Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
entekhab.az100b
.
Enter
a. Dependent Variable: janeshin.az100
b. All requested variables entered.

Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.206a
.042
.034
14.44657
a. Predictors: (Constant), entekhab.az100

ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
1132.124
1
1132.124
5.425
.021b

Residual
25670.503
123
208.703

Total
26802.627
124

a. Dependent Variable: janeshin.az100
b. Predictors: (Constant), entekhab.az100

oefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.

B
Std. Error
Beta

1
(Constant)
31.109
5.487

5.670
.000

entekhabestedad.az.100
.196
.084
.206
2.329
.021
a. Dependent Variable: janeshinparvari.az.100

Regression

Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
mosharekat.az100b
.
Enter
a. Dependent Variable: janeshin.az100
b. All requested variables entered.

Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.279a
.078
.070
14.17628
a. Predictors: (Constant), mosharekat.az100

ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
2083.681
1
2083.681
10.368
.002b

Residual
24718.946
123
200.967

Total
26802.627
124

a. Dependent Variable: janeshin.az100
b. Predictors: (Constant), mosharekat.az100

Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.

B
Std. Error
Beta

1
(Constant)
32.434
3.672

8.834
.000

mosharekat.az.100
.277
.086
.279
3.220
.002
a. Dependent Variable: janeshinparvari.az.100

Regression

Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
amozesh.az100b
.
Enter
a. Dependent Variable: janeshin.az100
b. All requested variables entered.

Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.356a
.127
.119
13.79621
a. Predictors: (Constant), amozesh.az100

ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
3391.376
1
3391.376
17.818
.000b

Residual
23411.251
123
190.335

Total
26802.627
124

a. Dependent Variable: janeshin.az100
b. Predictors: (Constant), amozesh.az100

Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.

B
Std. Error
Beta

1
(Constant)
28.730
3.717

7.730
.000

amozesh.az.100
.343
.081
.356
4.221
.000
a. Dependent Variable: janeshinparvari.az.100

Regression

Variables Entered/Removeda
Model
Variables Entered
Variables Removed
Method
1
hefz.az100b
.
Enter
a. Dependent Variable: janeshin.az100
b. All requested variables entered.

Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
.557a
.311
.305
12.25528
a. Predictors: (Constant), hefz.az100

ANOVAa
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
8329.023
1
8329.023
55.456
.000b

Residual
18473.605
123
150.192

Total
26802.627
124

a. Dependent Variable: janeshin.az100
b. Predictors: (Constant), hefz.az100

Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.

B
Std. Error
Beta

1
(Constant)
16.407
3.803

4.314
.000

hefz.az.100
.561
.075
.557
7.447
.000
a. Dependent Variable: janeshinparvari.az.100

Abstract
Talent management is a complete set of processes for identifying, developing, maintaining, and using talent employees in order to successfully perform the required activities of organization. Talent management assures the organization that the qualified people with the suitable skills stand at the proper job position in order to achieve the expected goals. As regardsthe novelty of talent management in large organizations of Iran, this study has a considerable effect on the views of human resource managers. The purpose of this study is to evaluate the effects of talent management on succession planning of human resourceswith regard to information technology management in Shiraz Petroleum Products Distribution Company. This study is a descriptive-practical research and the sa
mple of this study includes 140 employees of Shiraz Petroleum Products Distribution Company. Total number of samples is suitable for this study, the questionnaires distribute among 140 employees of Shiraz National Petroleum Products Distribution Company and 125 questionnaires are returned and analyzed. Data collection tool is questionnaire. In the current study for evaluating the stability, the primary questionnaires are distributed experimentally among 30 employees and so we receive Cronbach’s alpha coefficient of talent management of 0.894, succession planning of 0.836, and information technology management of 0.842 respectively. This numbers indicate that the questionnaire have the necessary reliability or in the other word stability. It is used spss22 software for data analysis. In order to analyze the internal structure of questionnaire and to discover the constituent elements of each latent variable or construct, it is used the confirmatory factor analysis tools and in order to meet the research hypothesis, it is used multiple regression. According to the results of statistical tests, all research hypotheses are confirmed. The main hypothesis test result suggests that talent management and information technology management on succession planning of talent human resources has positive and direct (statistically significant) effect. The findings subscribe to the effects of selectionof talent employees on succession planning, participation of talent employees on succession planning, and instruction of talent employees on succession planning.
Key words: talent, talent management, talent employees, talent selection, talent reservation, talent retention, talent development, succession planning, successor selection, successor development, information technology.

Email: na.cheraghi@yahoo.com

Analyzing the effect of talent management on human resource Succession planning , regarding management of information technology.

By
Nazanin Cheraghi

Supervisor
Dr Fatah Sharifzadeh

Advisor
Dr MirAli Seyyed naghavi

June 2014

1 Armstrong
2 Areiqat
3 Chakraborthy & Ajoy
4 Kyobe
5 Human Capital
6 Hughes and Rog
7 Succession Planning
8 Kim
9 pattan
10 Johnson
11 Kearns & Lederer
12 Velcu
13 Morton
14 Rothwell
15 Talent Management
16 Armestrang
17 Nunn
18 Talent Management
19 Collings and Mellahi
20 Michaels et al
21 Talent
22 Rath &Kunchi
23 Clifton&Buchingham
24 Harris
25 Stewart
26 Turner
27 Ed micheals
28Helen Hand field-jonez
29 Beth Axelrode
30 Duttagupta
31 Schweyer
32 Creelman
33 Collingsand Mellahi
34 Mckinsey
35 Tulgan
36Michaels
37 Hand field-Jones
38 Axelrod
39 O,,,,Reily and Pfeffer
40 East India
41 Buchingham
42 vosburgh
43 Rothwell
44 poduch
45 Swellins
46 Ashton
47 Morton
48 Sweem
49 skills
50 Aptitude
51 Opportunity
52 schweyer
53 McCauley & Wakefield
54 Bhatnagar
55 Michaels
56 Bryan

57 Employer Brand
58 Workforce Segmentation
59 Pipeline

60 Organization program
61 Employment politics
62 Development program
63 Maintenance program
64 Appraisal program
65 Omission program
66 Gordon Ramsay Holdings
67 google
68 Pricewaterhouse Coopers
69 Leadership talent
70 Key talent group
71 Core talent
72 Talent poor
73 Huselid
74 Beatty
75 Becker
76 Groysberg
77 Conger
78 Ready
79 Beechler
80 Woodward
81 Mutsuddi
82 Cappelli
83 Chambers
84 Hurley
85 Michaels
86 Tulgan
87 Gerstrom
88 Morton
89Morgan
90 Tallent Attraction
91Talent Selection
92Talent Development
93 Talent Retention
94 Talent Placement
95 Catalyst Consulting
96 Phlips &Ropper
97 Towe Perrin
98 Trank
99 Rothwell
100Kazanas
101 نگهدارندهها کسانی هستند که در حد انتظارات سازمان عمل می کنند.
102 فرانگهدارندهها کسانی هستند که خیلی بهتر از انتظارات سازمان عمل می کنند.
103 Cai
104 Cunningham
105 Blanchard
106 Stability of Tenure Personnel
107 Kesner & Sebora
108 Walter Mahler
109 Wiersema
110 Miles et al
111

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