Electronic communication and manager's media choice : a structural equation modelling from rational and social perspectives

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City, University of London Institutional Repository

Citation: Krabuanrat, T. (2000). Electronic communication and manager's media choice : a structural equation modelling from rational and social perspectives. (Unpublished Doctoral thesis, City University London)

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Experience output

Descriptives

Descriptive Statistics

N Minimum Maximum sum

i have use computer for 423 4 20 4138

1 have use e-mail for 423 2 12 2686

percent of people I deal

with outside my work 423 2 100 20468

group who use e-mail

the number of hours per

day I spend using 423 1 3 520

electronic mail

indicate the degree of

my work experiece on 423 2 5 1831

the scale

my email experience on 423 3 5 1877

the scale

generally how do you

feel about the ease of 423 3 5 2078

use of email94

Valid N (listwise) 423

Mean Std. Deviation

1 have use computer for 978 2.24

1 have use e-mail for 6.35 1.82

with outside my work 48.39 24.25

day I spend using 1.23

. 51

electronic mail

my work experiece on 4.33

. 68

the scale

my email experience on 4.44

. 55

the scale

generally how do you

feel about the ease of 4.91

. 31

use of email94 Valid N flistwise)

Factor Analysis

(30)

Experience output

Communalitles

Initial

Extraction

I have use computer

for

_1.000

.

760 i have use e-mail for

1.000 .

761 percent of people I deal

with outside my worý

1.000 _.

770 group who use e-mail

the number of hours per

day I spend using

1.000 .

787 electronic

mail

indicate

_{the degree of}

my work experiece

on

1.000 _.

341 the scale

indicate

_{the degree of}

my email experience

on

1.000 _.

718 the scale

generally

how do you

feel about the ease of

1.000 _.

579 use of email94

I

II

Extraction Method: Principal Component Analysis.

Total Variance Explained

Initial Eiqenvalues

Component Total _{% of Vadance} _{Cumulative %}

1 _1.539 _21.982 _21.982

2 _1.103 _15.751 _37.733

3 _1.050 _15.002 _52.735

4 _1.025 _14.640 _67.376

5

. 965 13.779 81.155 6

. 840 12.006 93.162

17 1

. 479 1 6.838 1 100.000

Extraction Sums of Squar d Loadinqs

Component Total _{% of Variance} Cumulative %

1 _1.539 _21.982 _21.982

2 _1.103 _15.751 _37.733

3 _1.050 _15.002 _52.735

4 _1.025 _14.640 _67.376

5 6 17

(31)

Experience output

Rotation Sums of Squar Loadinqs

1 _1.519 _21.705 _21.705

2 1.082 15.454 37.159

3 _1.071 _15.293 _52.452

4 1.045 14.924 67.376

5 6 7

Extractlion Method: Pfincipal Component Analysis.

Component Matrbe

Corn nent

1

2

3

4 I have use computer

for

.

858 -. 145 4.175E-02 -5.670E-03

I have use e-mail for

_.

857 _{-. 107}

.

123 -1.973E-02

percent

of people I deal

with outside my work

5.518E-02

.

413 .

392 .

665 group who use-e-mail

the number of hours per

day I spend using

_-3.725E-02

_.

315 .

500 -. 661

electronic

mail

indicate

_{the degree of}

my work experjece

on

_{-. 143}

_{-. 396}

.

172 .

366 the scale

indicate

_{the degree of}

my email experience

on

_.

156 _.

306 _{-. 775 -1.055E-02}

the scale

generally

how do you

feel about the ease of

137 _.

741

7.251 E-03

_.

106 use of email94

I

Extraction Method: Principal Component Analysis. a. 4 components extracted.

(32)

Experience o. utput

Rotated Component Matrbe

Corn nent

1

2

3

4 1 have use computer for

_.

_{870 4.763E-02 -1.235E-02 -3.343E-02}

i have use e-mail for

_.

871 6.690E-03 3.426E-02 3.337E-02

percent

of people 1 deal

with outside my work

1.769E-02

_{-. 208}

_.

841 _{-. 141}

group who use e-mail

the number of hours per

day I spend using

_{-2.239E-02 -9.237E-02 -1.156E-02}

_.

882 electronic

mail

indicate

_{the degree of}

my work experiece

on

_-5.819E-02

_{-. 455 -5.961}

E-03

_{-. 362}

the scale

indicate

_{the degree of}

my email experience

on

1.126E-02

.

810 -4.985E-02

-. 244

the scale

generally

how do you

feel abobt the ease of

6.059E-03

.

405 .

600 .

234 use of email94

I

II

Rotation Method: Vadmax with Kaiser Normalization. a. Rotation converged in 5 iterations.

Component Transformation Matrix

Component ₁ ₂ ₃ ₄

1

. 978 . 186 . 091 . 003

2

-. 171 _.550 _.702 _.420

3

. 115 -. 788 . 352 . 491

4 _{-. 016} _{-. 204}

. 613 -. 763

Rotation Method: Varimax with Kaiser Normalization.

Factor Analysis

Communalities

Initial Extraction

i have use computer for 1.000 _ . 754 i have use e-mail for 1.000

. 754 indicate the degree of

mY work experiece on 1.000 1.644E-02

the scale _I

F-xtraction _{Method: Principal Component Analysis.}

(33)

Experience output

Initial Eiqenvalu s

Component Total _{% of Vadance} _{Cumulative %}

1 _1.524 _50.807 _50.807

2

. 994 33.143 83.950 3

. 481 16-050 1 00.00L

Extraction Sums of Squar d Loadings

Component Total _{% of Variance} _{Cumulative %}

1 _1.524 _50.807 _50.807

2 3

Component Matrbe

Compone nt

i have use computer for

.8 1 have use e-mail for

. 868

my work experiece on _{-. 128}

the scale

Extraction Method: Principal Component Analysis. a. I components extracted.

Rotated Component Matrbe

a. Only one component was extracted. The solution cannot be rotated.

Factor Analysis

(34)

Experience output

Communalitles

Initial

Extraction

I have use computer for

1.000 .

759 1 have use e-mail for

1.000 .

759 percent

of people 1 deal

with outside my work

1.000 _.

499 group who use e-mail

the number of hours per

day I spend using

1.000 .

520 electronic

mail

Initial Eigenvalu s

1 1.520 37.997 37.997

2 1.018 25.438 63.434

3

. 984 24.594 88.029

14 1

. 479 11-971 100.000

1 _1.520 _37.997 _37.997

2 _1.018 _25.438 _63.434

3 4

Rotation Sums of Squar Loadings

_Component

₁

Total

_1.518

% of Vadance Cumulative %

_37.961 _37.961

2 _1.019 _25.473 _63.434

3 4

(35)

Experience output

Component Matrbe

Com nent

1

2 i have use computer

for

_.

871 2.98SE-02

i have use e-mail for

_.

870 4.491

E-02

percent of people I deal

with outside my work

4.526E-02

_{-. 705}

group who use e-mail

the number of hours per

day I spend using

_-4.614E-02

_.

719 electronic

mail

I

II

Rotated Component Matrie

com

_nent

1

2

I have use computer for _.871 1.673E-02

I have use e-mail for

. 871 1.699E-03

with outside my work 7.496E-03 _.706

day i spend using _-7.596E-03 _{-. 721}

electronic mail I II

Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 3 iterations.

Component Transformation Matrix

Component 12

1

. 999 - 053

21

. 053 -999

(36)

N Minimum Maximum Mean Std. Deviation

i have use computer for 423 4 20 9.78 2.24

i have use e-mail for 423 2 12 6.35 1.82

percent of people i deal

with outside my work 423 2 100 48.39 24.25

day i spend using 423 1 3 1.23 _.51

electronic mail

my work experiece on 423 2 5 4.33 _.68

the scale

my email experience on 423 3 5 4.44 _.55

the scale

Valid N (listwise) 423

Factor Analysis

Component Matri)O

a. 2 components extracted.

Rotated Component Matrie

Com nent

1

2 I have use computer

for

_.

871 1.673E-02

I have use e-mail for

_.

871 1.699E-03

percent

of people i deal

with outside my work

7.496E-03

_.

706 group who use e-mail

the number of hours per

day I spend using

_-7.596E-03

721 electronic

mail

I

Extraction

Method: Principal

Component

Analysis.

Rotation

Method:

Varimax

With Kaiser Normalization.

a. Rotation

converged

in 3 iterations.

Component Total % of Variance Cumulative %

1 21

1.518 1.019

37.961 25.473

37.961

--- 63-434

Component Transformation Matrix

Component 12

1

. 999

..

053 21

. 053

1-

. 999

Extraction

_{Method: Principal}

Component

Analysis.

Rotation

Method:

Varimax

_{with Kaiser Normalization.}

Descriptives

(37)

Descriptives

email45 423 4 5 4.86 _.34

email4l 423 2 5 3.98 _.77

emai144 423 4 5 4.78 _.41

email46 423 4 5 4.98 _.15

ema! 147 423 3 5 4.96 _.21

emai148 423 4 5 4.96 _.20

email42 423 2 4 3.01 _.78

email43 423 3 5 4.50 _.52

Valid N flistwise) 423 1 1 1

Factor Analysis

Component Matr!

_)O

Rotated Component MatrW

Com nent

1

2 email4l

_{-. 439}

_.

267 email42

_.

779 _.

216 emai143

_.

565 _{-. 123}

emai144. -2.645E-02

_.

655 ENEW

1-7.873E-02 1

.

723 Extraction

Method: Principal

Component

Rotation

Method:

Varimax

_m(ith

Kaiser N(

a. Rotation converged in 3 iterations.

Analysis.

rmalization.

Component Total %yc _{of Vadance}_{of Vý} Cumulative%

1 2

1.127 22.539

21.685

22.539 44.225 Extraction Method: Principal Component Analysis.

Component Transformation Matrix

Component 12

1 _{-. 783}

. 622

21 _k22

1

. 783

Descriptives

(38)

Media Richness Output

Descriptives

taskla 423 2 3 2.77

. 42

task2a ₄₂₃ ₁ ₄ 2.83

. 54

task3a 423 1 4 1.46

. 59

task4a ₄₂₃ ₁ 2 1.02

. 15

task5a ₄₂₃ ₁ 3 1.79

. 57

Valid N flistwise) ₄₂₃ 1 1 1 1

Factor Analysis

Communalities

Initial

Extraction

taskla

_1.000

.

285 task2a

_1.000

.

464 task3a

_1.000

.

537 task4a

_1.000

.

516 task5a

_{i. o0o}

.

389

Initial Eiqenvalues

Component Total _{% of Variance} _{Cumulative %}

1 1.148 _22.962 _22.962

2 _1.042 _20.832 _43.794

3

. 975 19.493 63.287 4

. 943 18.852 82.139 5

. 893 17.861 100.000

Extraction

Method: Principal

Component

Analysis.

Component Total _{% of Vadance} Cumulative %

1 _1.148 _22.962 _22.962

2 _1.042 _20.832 _43.794

3 4

15 1

(39)

Media Richness Output

_%

Rotation Sums of Squar Loadin-qs

1 1,147 22.937 22.937

2 _1.043 _20.858 43.794

3 4 5

Extraction

Method: Principal

Component

Analysis.

Component Matrbe *

Component

1 2

taskla

. 491 -. 209 task2a

. 675 9.099E-02 task3a _{-. 278}

. 678 task4a

. 159 . 700

Itask5a 1 _{-. 591 1} _{-. 200 1}

Rotated Component Matrhe

Com nent

1

2 taskI a

_.

465 _{-. 261}

task2a

.

681 1.712E-02

task3a

_{-. 203}

.

704 task4a

.

234 _.

679 task5a

_{-. 609}

_{-. 135}

Extraction

Method: Principal

Componer

Rotation

Method:

Varimax

_{with Kaiser t}

it Analysis.

_{4ormalization.}

a. Rotation converged in 3 iterations.

Component 12

1

. 994 -. 109

21

. 109 . 994

1

(40)

does your company have

a policy to encourage 423 1 2 1.11 _.31

email use82

does your company offer ₄₂₃ ₁ ₂ _{1 89}

. 31

training in e-mail use83 .

does your superior

encourage you to use 423 1 2 1.01 _.11

e-ma! 184

does your co-worker

encourage you to use 423 1 2 1.02

. 13

emaiI85

does your superior ever

express feeling or emotion 423 1 2 1.94 _.24

using email86

does your co-worker ever

express feeling or emotion 423 1 2 1.01 9.69E-02

using email87

suggest to send or receive

work or non-work material 423 1 2 1.01 8.40E-02

through attachment of email88

does your co-worker ever suggest to send or receive

through attactchment of email89

Valid N flistwise) ₄₂₃

Factor Analysis

Component Matrbe

Rotated Component Matr! )O

Corn nent

1

2 does your company have

a policy to encourage

_.

716 _.

364 email use82

does your company offer

₇₃₀

- 348

training in e-mail use83

.

does your superior ever

express

feeling or

_-6.283E-03

_.

877 emotion

usinq email86

Extraction

Method: Principal

Component

Analysis.

Rotation

Method:

Varimax

_{with Kaiser Normalization.}

a. Rotation

converged

in 3 iterations.

Total Variance Explained

omponent Total %of Variance Cumulative%

1 2 1.047 1.023 34.887 34.098 34.887 68.985 Extraction Method: Principal Component Analysis.

(41)

Component 12

1

. 998 . 055

2

-. 055 _{.. 998}

(42)

Descriptives

a policy to encourage 423 1 2 1.11 _.31

email use82

does your company offer ₄₂₃ ₁ ₂ _{1 89}

. 31

training in e-mail use83 .

does your superior

e-ma! 184

does your co-worker

email85

express feeling or emotion 423 1 2 1.94 _.24

using email86

express feeling or emotion 423 1 2 1.01 9.69E-02

using email87

through attactchment of email89

ETOT ₄₂₃ 43 194 106.36 28.55

Valid N (listwise) ₄₂₃

Factor Analysis

Communalities

Initial

Extraction

does your company

have

a policy to encourage

1.000 _.

650 email use82

does your company offer

_{1 000}

₄₆₆

training in e-mail use83

.

does your superior

encourage

you to use

1.000 _.

614 e-maiI84

does your co-worker

encourage

you to use

1.000 _.

789 emai185

does your superior ever

express

feeling or emotion

1.000 .

608 using emaiI86

does your co-worker ever

express

feeling or emotion

1.000 .

254 using emaiI87

does your superior ever

suggest

to send or receive

work or non-work

_material

1.000 .

631 through attachment

_of

emai188

does your co-worker ever

suggest

to send or receive

work or non-work

_material

1.000 .

905 through attactchment

_of

emaiI89

ETOT

_1.000

.

575

(43)

Initial Eiqenvalu s

Component _Total _{% of Variance} _{Cumulative %}

1 _1.242 _13.803 _13.803

2 _1.123 _12.473 _26.276

3 _1.090 _12.113 _38.390

4 _1.027 _11.410 _49.800

5 _1.009 _11.217 _61.016

6

. 990 11.002 72.018

7

. 939 10.433 82.451

8

. 849 9.429 91.881

19

. 731 8.119 100.000,1

Component _Total _{% of Variance} _{Cumulative %}

1 _1.242 _13.803 _13.803

2 _1.123 _12.473 _26.276

3 _1.090 _12.113 _38.390

4 _1.027 _11.410 _49.800

5 _1.009 _11.217 _61.016

6

7

8

19

Component _Total _{% of Vadance} _{Cumulative %}

1 _1.149 _12.765 _12.765

2 _1.144 _12.713 _25.477

3 _1.089 _12.100 _37.578

4 _1.078 _11.979 _49.556

5 _1.031 _11.460 _61.016

6 7 8 9

(44)

Component Matrie

Component

1 2 3 4 5

does your company have a policy to encourage

. 769 1.219E-02 . 241 -1.590E-02 2.817E-02

email use82 -

does your company offer

training in e-mail useS3 . 323 6.213E-03 -. 563 . 205 4.776E-02

does your supedor

encourage you to use

. 222 . 154 . 582 -. 444 6.915E-02

e-mail84

does your co-worker encourage you to use

. 435 . 228 6.519E-02 . 537 -. 506

email85

express feeling or emotion 1.999E-02

. 772 9.135E-02 -5.811 E-02 2.057E-02

using email86

does your co'worker ever express feeling or emotion

. 144 . 231 -. 282 -. 311 6.178E-02

using emaiI87

suggest to send or receive work or non-work material

. 491 -. 514 -. 135 -. 327 1.125E-02

does your co-worker ever suggest to send or receive work or non-work material

. 184 . 112, 5.391E-03 . 345 . 860

through aftactchment of emaiI89

ETOT

-. 348 _.515 _.417 4.897E-02

(45)

Component

1 2 3 4 5

. 577 . 350 8.135E-02 . 360 . 241 email use82

training in e-mail use83 . 254 . 185 . 313 -. 481 . 195 does your superior

encourage you to use 3.767E-02 3.641 E-02 4.427E-02

. 780 1.151 E-02 e-maiIS4

does your co-worker encourage you to use

. 839 -. 151 -. 133 -. 157 -. 142 email85

express feeling or emotion

. 193 -. 599 . 369 . 257 9.830E-02 us! ng email86

express feeling or emotion _-2.602E-02 2.589E-02

. 501 3.005E-02 2.814E-02 using email87

work or non-work material 6.305E-02

. 775 . 143 7.746E-02 -1.143E-02 through attachment of

email88

work or non-work material _-3.922E-02 _-5.975E-02 _-5.553E-02 _-4.761E-02

. 946 through attactchment of

emailB9

ETOT _4.498E-02 _2.293E-02

-. 745 8.89BE-02 _.101

Rotation Method: Varimax with Kaiser Normalization. a. Rotation converged in 12 Iterations.

Component 1 2 3 4 5

1

. 739 . 507 . 272 . 206 . 284

2

. 263 -. 795 . 498 . 192 . 118

3

. 103 -. 150 -. 597 _.782 _.005

4

. 446 -. 294 -. 566 -. 549 _.304

15

-. 418 _.045 _.043 _.091 _.907

Descriptives

Descriptive Statistics

a policy to encourage 423 ₁ ₂ _1.11

. 31

email use82

does your company offer ₄₂₃ ₁ ₂

1 89 31

training in e-mail use83 _. .

express feeling or 423 1 2 1.94

. 24

emotion using email86

ETOT ₄₂₃ ₄₃ ₁₉₄ _106.36 _28.55

Valid N listWise) ₄₂₃

Factor Analysis

(46)

Communalities

Initial

Extraction

does

_{your company}

have

a policy

to encourage

1.000 _.

875 email

use82

does

_{your company}

_offer

_{1 000}

₇₈₁

training

_{in e-mail}

_use83

_.

does

_{your superior}

_ever

express

feeling

or

1.000 _.

764 emotion

using

email86

ETOT

_1.000

.

711 Extraction

Method: Principal

Component

Analysis.

Total Variance Explained

Initial Eiqenvalu s

1 1.087 27.187 27.187

2 _1.039 _25.966 53.153

3 1.004 25.103 78.256

14 1

. 870 21.744 loo. o0o

Extraction

Method: Principal

Component

Analysis.

1 _1.087 27.187 27.187

t _1.039 _25.966 _53.153

3 1.004 25.103 78.256

4

1 _1.067 _26.673 _26.673

2 _1.046 _26.151 _52.824

3 _1.017 _25.432 _78.256

14 1

(47)

Component Matrbe

Component

1 3

. 268 . 539 . 716

email use82

does your company offer ₄₄₀ ₆₆₉

- 373

training in e-mail use83 . . .

does your superior ever express feeling or

. 560 -. 500 . 448

emotion using email86 ETOT

-. 713 _.224 _.391

,

Component

1 2 3

a policy to encourage 6.895E-02 9.923E-02 _.928

email use82

- 124 863 146

training in e-mail use83 . . .

does your supenor ever express feeling or

. 831 -. 206 . 177

emotion using email86

ETOT _{-. 597} _{-. 500}

. 323

Component 1 2 3

1

. 786 . 595 . 167

2 _{-. 573}

. 599 . 560

3

. 233 -. 536 . 811

Factor Analysis

Communalities

Initial

Extraction

does your company have

a policy to encourage

1.000 .

635 email use82

does your company offer

_{1 000}

₆₆₄

training in e-mail use83

.

_.

does your superior ever

express feeling or

1.000 .

758 emotion using ema!

186 ETOT

_1.000

.

708 send receiving

_{1 000}

₄₉₃

1 Processinq

_emai13

_.

(48)

Rotated Component Matri)O

Component

1 2 3

. 791 -9.235E-02 6.457E-03 email useS2

does your company offer ₁₅₀ ₇₈₇

- 148 training in e-mail useB3 . . .

does your superior ever express feeling or

. 173 -. 236 . 820 emotion using email86

ETOT

. 240 -. 530 -. 608 send receiving

proc ssinq email3 . 617. . 329 6.620E-02

Extraction

Method: Principal

Component

Analysis.

Rotation

Method:

Varimax

_{with Kaiser Normalization.}

a. Rotation

converged

In IS iterations.

Component 1 2 3

1

. 746 . 599 . 291

2

. 395 -. 047 -. 917

3

. 536 -799 ý272

Extraction

Method:

Principal

Component

Analysis.

Rotation

Method:

Varimax

_{vvith Kaiser Normalization.}

Factor Analysis

Communalitles

Initial

Extraction

does your company

have

a policy to encourage

1.000 _.

423 email use82

does your company

offer

_{1 000}

₅₁₉

training in e-mail use83

.

does your superior ever

express

feeling or

1.000 _.

758 emotion

using emaiI86

send receiving

proc ssinq emai13

1.000 .

498

Initial Eiqenvalu s

Component Total _{% of Vadance} Cumulafive %

1 _1.174 _29.356 _29.356

2 _1.023 _25.585 _54.940

3

. 931 23.263 78.204 14

. 872 21.796 . 000 1

(49)

Extraction Sums of Squar d Loadings

1 _1.174 _29.356 _29.356

2 _1.023 _25.585 _54.940

3 4

Extraction

Method:

Principal

Component

Analysis.

Rotatio Sums of Squar Loadinqs

Component Total _{% of Vadance} Cumulative %

1 _1.173 _29.316 _29.316'

2

. 1.025 25.624 54.940 3

14 1

Component MatrW

Com nent

1

2 does your company have

a policy to encourage

_.

614 _.

214 email use82

does your company offer

₅₃₂

- 485

training in e-mail use83

.

does your superior ever

express

feeling or

_.

128 _.

861 emotion

using email86

send receiving

processinq

email3

.

705 2.333E-02

Corn nent

1

2 does your company

have

a policy to encourage

_.

633 _.

150 email useS2

does your company offer

₄₈₀

- 537

training in e-mail use83

.

does your superior ever

express

feeling or

.

216 .

843 emotion

using email86

send receiving

-process!

q emaI13

.

704 -4.902E-02

(50)

Component 12

1

. 995 -. 102

21

. 102 . 99L

(51)

(52)

TEXT

BOUND

INTO

(53)

BEST

COPY

AVAILABLE

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