1. Green Office Building Environmental Perception and Job Satisfaction
Real Estate Business Program
Thammasat University

2. Main purpose of this study
Relationship between job satisfaction and green office building
To analyze factors that related to Job Satisfaction

3. Green
Building

4. LEED office building in Bangkok
Park Venture
Sathorn Square
AIA Sathorn
AIA Capital
Siam Cement Group (SCG)
Kasikorn bank (KBank)

5. AIA Capital Center Occupancy Rate ~ 95% Parkventure
Leasable area 54,000 Sq.m
Occupancy Rate ~ 95%
Parkventure
Leasable area 27,000 Sq.m.
Occupancy Rate ~ 95%

6. AIA Sathorn
Leasable area 38,500 Sq.m
Occupancy Rate ~ 40%
Sathorn Square
Leasable area 72,000 Sq.m
Occupancy Rate ~ 95%

7. Cleanliness and Maintenance
Author
Indoor Air Quality
Thermal
Visual/Lighting
Acoustic
Cleanliness and Maintenance
Office Furnishing
Office Layout
General Comment
Overall Building
Center for the Built Environment (CBE) Occupant Indoor Environmental Quality Survey, 2013 /
Building Occupants Survey System Australia
Charles et al., 2004
Sulivan, Baird and Donn, 2013
Laeman and Bordass (2006)
Abbaszadeh et al., 2006
Wilkinson, Reed and Jailani, 2011
Tomovska-Misoska, 2014

8. Research Hypothesis
H1: Perceived indoor air quality has positive relations
with job satisfaction
H2: Perceived Thermal have positive relations with
job satisfaction
H3: Perceived visual has positive relations with job satisfaction
H4: Perceived Acoustics have positive relations with

9. Conceptual Framework of This Study

10. Research Methodology
This research collected data from the office buildings with LEED quality certification in Bangkok.
A set of questionnaires were used to collect the data through convenient sampling.
All of them were distributed directly to the samples who worked in the subjected offices.
Meanwhile, online questionnaires are required to be sent through Google Doc as well, during 7 – 20 February 2016.

11. Result: Demographic Other AIA Capital Park Venture Sathorn
green office building
Park Venture
SCG
AIA Capital
Center
Sathorn
Square

12. Result: Demographic

13. Rotated Component Matrixa
Factor Analysis
Rotated Component Matrixa
Component 1 2 3 4 5
iaq4
.748
iaq2
.688
iaq1
.686
iaq3
.649
iaq5
.536 a3
.761 a2
.717 v2
.690 v1
.634 a1
.616
.504 t1
.784 t4
.765 t2
.677 t3
.550 a5
.687 a4
.612 v6
.581 t5
.549 v5
.745 v4
.692 v3
.578
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 14 iterations.
IAQ = Perceived Indoor Air Quality
T = Perceived Thermal
V = Perceived Visual
A = Perceived Acoustic
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.847
Bartlett's Test of Sphericity
Approx. Chi-Square df
210
Sig.
.000

14. Rotated Component Matrixa
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.850
Bartlett's Test of Sphericity
Approx. Chi-Square df
171
Sig.
.000
Rotated Component Matrixa
Component 1 2 3 4 T3
.755 T2
.741
IAQ2
.721 T4
.709
.376 T1
.420
IAQ4
.619
.324
IAQ1
.602
.349
IAQ3
.599
IAQ5
.444 A1
.802 A3
.356 A2
.733 A5
.600
.375 A4
.536
.364 V5
.769 V6
.665
.353 V3
.618 V4
.338
.498 T5
.751
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 11 iterations.

15. Rotated Component Matrixa
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.855
Bartlett's Test of Sphericity
Approx. Chi-Square df
153
Sig.
.000
Rotated Component Matrixa
Component 1 2 3 4 T1
.803 T4
.800 T2
.707
.311 T3
.641
.422
IAQ4
.695
IAQ3
.642
IAQ5
.620
IAQ2
.471
.594 V3
.535
.520
IAQ1
.417
.503 A1
.811 A3
.344
.730 A2
.689 A5
.427 A4
.580
.415 V5
.736 V6
.696 V4
.401
.506
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
a. Rotation converged in 6 iterations.

16. Rotated Component Matrixa
Factor Analysis
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.852
Bartlett's Test of Sphericity
Approx. Chi-Square df
136
Sig.
.000
Rotated Component Matrixa
Component 1 2 3 4 T4
.803 T1
.782 T2
.705
.316 T3
.644
.422
IAQ4
.764
IAQ3
.662
IAQ5
.639
IAQ2
.446
.618
IAQ1
.330
.602
.304 A1
.818 A3
.753 A2
.710 A5
.607
.476 A4
.549
.456 V6
.729 V5
.701 V4
.457
.497

17. Factor Cronbach’s Alpha Factor Loading
Perceived Thermal
0.830
T4 : Stable temperature
0.803
T1 : Comfortable Temperature
0.782
T2 : Humidity
0.705
T3 : Air movement
0.644
Perceived Indoor Air Quality
0.784
IAQ4 : Breath comfortably
0.764
IAQ3 : Odor
0.662
IAQ5 : Non toxic furniture/interior
0.639
IAQ2 : Air ventilation
0.618
IAQ1 : Fresh air
0.602
Perceived Acoustics
0.789
A1 : Annoying noise
0.818
A3 : Outdoor noise
0.753
A2 : Mechanical noise
0.710
A5 : Auditory distraction
0.607
A4 : Telephone ringing noise
0.549
Perceived Visual
0.563
V6 : Light controllable
0.729
V5 : Outside view
0.701
V4 : Eye tiredness
 0.497

18. Factor Analysis Job Satisfaction KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling Adequacy.
.934
Bartlett's Test of Sphericity
Approx. Chi-Square df 66
Sig.
.000
Job Satisfaction
Reliability Statistics
Cronbach's Alpha
N of Items
.912 12
Item-Total Statistics
Scale Mean if Item Deleted
Scale Variance if Item Deleted
Corrected Item-Total Correlation
Cronbach's Alpha if Item Deleted J1
45.050
.505
.910 J2
42.565
.695
.902 J3
42.407
.616
.906 J4
44.609
.565
.908 J5
42.140
.655
.904 J6
41.617
.710 J7
41.478
.691 J8
41.968
.670
.903 J9
43.286
.568
J10
42.836
.714
J11
41.205
.778
.898
J12
41.876
.619
Component Matrixa
Component 1
J11
.828
J10
.776 J6
.772 J2
.757 J7
.750 J8
.734 J5
.727
J12
.685 J3
.682 J9
.636 J4
.633 J1
.575
Extraction Method: Principal Component Analysis.
a. 1 components extracted.

19. Factor Analysis Factor N Mean Std. Deviation Valid Missing
IAQ1 : Fresh air
286
3.8007
.73423
IAQ2 : Air ventilation
3.7867
.71079
IAQ3 : Odor
3.8601
.91844
IAQ4 : Breath comfortably
3.9231
.81285
IAQ5 : Non toxic furniture/interior
3.7517
.73359
T1 : Comfortable temperature
3.7308
.78644
T2 : Humidity
3.7622
.73468
T3 : Air movement
3.7902
.72405
T4 : Stable temperature
3.5315
.83607
V4 : Eye tiredness
3.3636
.84642
V5 : Outside view
3.6783
V6 : Light controllable
2.9510
A1 : Annoying noise
3.6364
.98797
A2 : Mechanical noise
3.8951
.91163
A3 : Outdoor noise
4.0035
.90805
A4 : Telephone ringing noise
3.2378
.97663
A5 : Auditory distraction
3.4755
.90869

20. Factor Analysis Factor N Mean Std. Deviation Valid Missing
JS1 : Task satisfaction
286
3.7657
.69913
JS2 : Salary
3.7133
.78246
JS3 : Salary increase
3.6014
.88369
JS4 : Relationship with coworker
4.1329
.68812
JS5 : Relationship with supervisor
3.9371
.86829
JS6 : Opportunity to learn new things
3.9301
.86370
JS7 : Promotion
3.6434
.89760
JS8 : Feel like to work
3.5769
.87018
JS9 : Working tools
3.8531
.84154
JS10 : Valued opinions
3.7378
.73826
JS11 : Chose to work here again
3.6608
.83792
JS12 : Recommend this job to a friend
3.6224
.93886

21. Independent Variable (X) Dependent Variable (Y)
Result
Independent Variable (X)
Dependent Variable (Y)
Perceived Thermal
Job Satisfaction
Perceived Indoor Air Quality
Perceived Visual
Perceived Acoustic
Model Summary
Model R
R Squareb
Adjusted R Square
Std. Error of the Estimate
dimension0 1
.555a
.308
.298
a. Predictors: REGR factor score 4 for analysis 4, REGR factor score 3 for analysis 4, REGR factor score 2 for analysis 4, REGR factor score 1 for analysis 4
b. For regression through the origin (the no-intercept model), R Square measures the proportion of the variability in the dependent variable about the origin explained by regression. This CANNOT be compared to R Square for models which include an intercept.

22. Result ANOVAc,d Model Sum of Squares df Mean Square F Sig. 1
Regression
87.785 4
21.946
31.381
.000a
Residual
282
.699
Total b
286
a. Predictors: REGR factor score 4 for analysis 4, REGR factor score 3 for analysis 4, REGR factor score 2 for analysis 4, REGR factor score 1 for analysis 4
b. This total sum of squares is not corrected for the constant because the constant is zero for regression through the origin.
c. Dependent Variable: REGR factor score Job
d. Linear Regression through the Origin
Coefficientsa,b
Model
Unstandardized Coefficients
Standardized Coefficients t
Sig. B
Std. Error
Beta 1
REGR factor score_Thermal
.159
.050
3.201
.002
REGR factor score_Indoor Air Quality
.433
8.739
.000
REGR factor score_Visual
.277
5.598
REGR factor score_Acoustic
.136
2.753
.006
a. Dependent Variable: REGR factor score Job
b. Linear Regression through the Origin

23. Perceived Indoor Air Quality
Results
Job Satisfaction = 0.159(Thermal)** (Indoor Air Quality)** (Visual)** (Acoustic)**
Independent Variable \
Dependent
Variable
Perceived Thermal
Perceived Indoor Air Quality
Perceived Visual
Perceived Acoustic
Job Satisfaction
0.159**
0.433**
0.277**
0.136** R2
0.308
Adjusted R2
0.298 F
31.381
Sig.F
0.000

24. Results No. Hypothesis Results H1
Perceived indoor air quality has positive relations with job satisfaction
Support H2
Perceived Thermal have positive relations with job satisfaction H3
Perceived vision has positive relations with job satisfaction H4
Perceived Acoustics have positive relations with job satisfaction

25. Results
0.159
0.433
0.277
R2 = 29.8%
0.136

26. ข้อเสนอแนะต่ออาคารสำนักงานให้เช่า
Office building investor should be paid special attention to
Indoor Air Quality
Internal thermal comfort
Visual/Lighting quality
Sound & noises control
To improve their abilities to compete in the marketplace
Also, better green office buildings should attract office rates.

27. งานวิจัยต่อเนื่อง
LEED office building tenant perception towards their customers
Employee’s job satisfaction after periods of time
Employee’s health in LEED office building
Relation on LEED office building and tenant selection.
Ability to attract big tenant and the affect of LEED office building to rental rate.

28. THANK
YOU