a study on user`s intention of re-visiting the website of e-government

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With respect to the gap on the study of user's intention of re-visiting the e-government websites in the most of previous researches which put emphasis on the aspects of convenience, authenticity and aesthetics, this paper explores the user's intention of re-visiting the e-government website by means of the sample analysis of the website of Industrial Development Bureau in Ministry of Economic (MOE) in Taiwan. Research findings of this study are: 1) on the construct of functional service quality, users agree that they can get authentic and sufficient project related information about law and policy of government from the website; 2) on the construct of operational system quality

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  • - 11 -

    www.sjae.org

    Scientific Journal of E-Business January 2013, Volume 2, Issue 1, PP.11-22

    A Study on User`s Intention of Re-visiting the

    Website of E-government Yin-Yih Chang

    1, Chi-Ming Tsou

    2#, Shyue-Ping Chi

    1

    1. Department of Information Management, Fu Jen Catholic University, Association Professor, New Taipei City, Taiwan,

    24205, China

    2. Department of Information Management, Lunghwa University of Science and Technology, Assistant Professor, Guishan,

    Taoyuan County, Taiwan, 33306, China

    # Email: im065@mail.lhu.edu.tw

    Abstract

    With respect to the gap on the study of users intention of re-visiting the e-government websites in the most of previous

    researches which put emphasis on the aspects of convenience, authenticity and aesthetics, this paper explores the users intention

    of re-visiting the e-government website by means of the sample analysis of the website of Industrial Development Bureau in

    Ministry of Economic (MOE) in Taiwan. Research findings of this study are: 1) on the construct of functional service quality,

    users agree that they can get authentic and sufficient project related information about law and policy of government from the

    website; 2) on the construct of operational system quality, users hope that they can access the MOE website successfully at

    anytime, anywhere, and never encounter the situation that the website is unavailable for any reason; 3) overall, the users feel that

    the MOE website is usefulness and easy to use; 4) users have high intention of re-visiting the website of MOE when they need

    project information of government.

    Keywords: Electronic Government; Website Users Satisfaction; Intention of Re-visiting; Information Quality

    1 2 1

    1. 24205

    2. 33306

    (1)

    (2)

    (3)

    (4)

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    Davis[1]

    1

    1.1

    1997

    10

    70.8%[2]

    3

    4

    4,231 1,252

    227

    1.2

    2005

    (1) (2) (3)

    (4) (5) (6)

    Davis[1]

    (beliefs)(attitudes)(intentions)

    [1]

    [3]

    DeLone and McLean[4]

    Zhang and Dran[5]

    [6]

  • - 13 -

    www.sjae.org

    [7]

    Lin and Lu[8](information quality)(response time)

    (system accessibility)[9]

    (factors)

    [10]

    [11]

    1.3

    Davis [12](Motivational Model)

    (extrinsic)(intrinsic)

    [13][14]

    (e-commerce website)

    [15]

    [16]

    Atkinson Kydd [17](perceived usefulness)

    (ease of use) Atkinson Kydd

    [15]

    [18,19]

    (self-efficacy)(instrumentality)[20](efficacy)

    [21]

    2

    1

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    www.sjae.org

    1

    H1

    H2

    H3

    H4

    H5

    H6

    H7

    2012/4/01 2012/4/30 60

    5 300

    259 (Likert Scale)

    SPSS 12.0 for Windows

    Cronbachs

    3

    3.1

    57.14%30~40 42.85%

    96.13% 24.71%

    23.55 %

    H4

    H5 H2

    H6

    H7

    H3

    H1

  • - 15 -

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    1

    1

    ISQ1.

    4.02 0.819

    ISQ2 3.52 0.993

    ISQ3. 4.17 0.764

    ISQ4. 4.05 0.766

    ISQ5. 4.05 0.788

    ISQ6. 3.87 0.834

    ISQ7. 3.92 0.789

    2

    2

    CSQ1.

    4.01 0.923

    CSQ2.

    4.13 0.900

    CSQ3.

    4.04 0.864

    CSQ4. 4.05 0.836

    CSQ5. 3.97 0.860

    CSQ6. 3.97 0.849

    CSQ7. 3.87 0.920

    CSQ8. 3.95 0.892

    3

    3

    PEU1. 3.79 0.888

  • - 16 -

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    3

    PEU2. 4.04 0.809

    PEU3. 3.92 0.781

    PEU4. 3.95 0.838

    PEU5. 3.88 0.849

    PEU6. 4.04 0.813

    4

    4

    PU1. 4.11 0.787

    PU2. 4.04 0.818

    PU3 4.05 0.868

    PU4 4.09 0.787

    PU5. 4.15 0.803

    PU6. 4.16 0.790

    5

    5

    BIU1. 4.00 0.828

    BIU2. 4.04 0.774

    BIU3. 4.04 0.784

    BIU4. 4.12 0.823

    BIU5. 4.11 0.838

    3.2

    (Principal Components Analysis)

    (Orthogonal Rotation)(Varimax)

    Cronbachs 7

    57.556%KMO 0.854P-value 0.000 6

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    6

    0.853

    0.829

    0.828

    0.769

    0.765

    0.709

    0.500

    4.029

    57.556

    57.556

    KMO=0.854 Bartletts Test of Sphericity =906.996 Sig=0.000

    8

    73.434%KMO 0.867P-value 0.000 7

    7

    0.834 -0.042

    0.827 -0.297

    0.808 0.040

    0.805 -0.408

    0.741 -0.364

    0.837 0.117

    0.720 0.516

    0.638 0.592

    4.854 1.021

    60.677 12.757

    60.677 73.434

    KMO=0.867 Bartletts Test of Sphericity=1349.702 Sig=0.000

    6 77.13%KMO

    0.916P-value 0.000 8

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    8

    0.913

    0.854

    0.865

    0.895

    0.896

    0.872

    4.628

    77.130

    77.130

    KMO=0.916 Bartletts Test of Sphericity=1338.259 Sig=0.000

    6 77.918%KMO

    0.896P-value 0.000 9

    9

    0.913

    0.896

    0.895

    0.872

    0.865

    0.854

    4.675

    77.918

    77.918

    KMO=0.896 Bartletts Test of Sphericity=1384.911 Sig=0.000

    5 57.556%KMO

    0.854P-value 0.000 10

    10

    0.896

    0.895

    0.872

  • - 19 -

    www.sjae.org

    10

    0.865

    0.854

    4.628

    77.130

    77.130

    KMO=0.916 Bartletts Test of Sphericity=1338.259 Sig=0.000

    Cronbach's 11Cronbach's

    0.6

    11

    Cronbach`s

    ISQ1ISQ7ISQ5ISQ6ISQ3

    ISQ4ISQ2 7 0.863

    CSQ5CSQ3CSQ4CSQ2CSQ1

    CSQ6CSQ8CSQ7 8 0.906

    PEU6PEU3PEU4PEU5PEU2PEU1 6 0.935

    PU6.PU2PU5PU1PU4PU3 6 0.943

    BIU2BIU5BIU1BIU4BIU3 5 0.936

    3.3

    12 2 H1

    0.192(0.853*0.247*0.913) 0.187(0.829*0.247*0.913)

    H2

    0.234(0.853*0.301*0.913)

    0.228(0.829*0.301*0.913)

    12

    t p

    H1

    0.247 1.162 0.000**

    H2

    0.301 5.682 0.000**

    H3

    0.798 17.518 0.000**

  • - 20 -

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    12

    t p

    H4

    0.701 7.001 0.000**

    H5

    0.683 2.897 0.000**

    H6

    0.752 9.916 0.000**

    H7

    0.794 8.951 0.000**

    H3

    0.608(0.834*0.798*0.913) 0.603(0.827*0.798*0.913)H4

    0.534(0.834*0.701*0.913) 0.529(0.827*0.701*0.913)H5

    0.569(0.913*0.683*0.913) 0.559(0.896*0.683*0.913)H6

    0.614(0.913*0.752*0.895) 0.575(0.854*0.752*0.895)H7

    0.649(0.913*0.794*0.895) 0.637(0.896*0.794*0.895)

    2

    4

    (1)

    (2)

    (3)

    0.701*

    0.683* 0.301*

    0.752*

    0.794*

    0.798*

    0.247*

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    (4)

    [22]

    REFERENCES

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    13(3), 319-339, 1989

    [2] , , , . (Plurks) .

    Scientific Journal of E-Business, 1(2), 29-38, 2012

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    [5] P. Zhang and G. M. Dran. Websites that Satisfy Users: A Theoretical Framework for Web User Interface Design and Evaluation.

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    [12] F. D. Davis, R. P. Bagozzi and P. R.Warshaw. Extrinsic and Intrinsic Motivation to Use Computers in the Workplace. Journal of

    Applied Social Psychology, 22(14), 1111-1132, 1992

    [13] T. S. H. Teo, K. G. L. Vivien and Y. C. L. Raye. Intrinsic and Extrinsic Motivation in Internet Usage. Omega, International

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    [15] J. A. Castaeda, M. A. Rodrguez and T. Luque. Identifying the hierarchy of effects operative in an internet attitude model

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    e-marketing VI, 18-21, 2004

    [16] D. L. Hoffman, T. P. Novak and A. Duhachek. The Influence of Goal-Directed and Experiential Activities on On-line Flow

    Experiences. Journal of Computer Psychology, 13(1/2), 3-16, 2003

    [17] M. A. Atkinson and A. Kydd. Individual Characteristics Associated with World Wide Web use: An Empirical Study of Playfulness

    and Motivation. The DATA BASE for Advances in Information Systems 28(2), 53-61, 1997

    [18] Y. Malhotra and D. F. Galletta. Extending the Technology Acceptance Model to Account for Social Influence: Theoretical Base

    and Empirical Validation. in: Proceedings of the 32nd Hawaii International Conference on System Science, 1-14, 1999

    [19] M. J. Snchez and J. L. Rondn. Web acceptance and usage model: a comparison between goal-directed and experiential Web

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    [20] A. Bandura. Self-efficacy Mechanism in Human Agency. American Psychologist 37, 122-147, 1982

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    [21] M. Solomon. Consumer Behavior, Buying, Having and Being. Prentice Hall, New York, 1998

    [22] A. Bhattacherjee and G.. Premkumar. Understanding Changes in Belief and Attitude Toward Information Technology Usage: a

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    11961-

    Email042833@mail.fju.edu.tw

    21952-

    ERP

    Email im065@mail.lhu.edu.tw

    31949-

    Email004253@mail.fju.edu.tw

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