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Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes

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An Erratum to this article was published on 20 October 2009

Abstract

Key supplier-side factors that affect the usage level of mobile Internet were identified and the procedural mechanism among the independent and dependent variables was investigated. For this, a research model was introduced to describe associations among four external variables (access quality, service variety, cost rationality, and ease of use), an intermediate variable (usefulness) and a dependent variable (the usage level of mobile Internet). Through the on-line survey, data were gathered from actual mobile Internet users. Confirmatory factor analysis and path analysis were applied to test the overall integrity of the research model and of proposed hypotheses. All four external variables affected user perceptions on the usefulness of mobile Internet. Among them, service variety and cost rationality had a relatively larger influence on perceived usefulness. Perceived usefulness of the mobile Internet had a positive effect on its usage, confirming the important role of usefulness as a significant mediator between the four external variables and the dependent variable. Meanwhile, the cost rationality was the only external variable with direct influence on the MI usage. Theoretical and practical implications of the study results are discussed.

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Author information

Authors and Affiliations

  1. School of Business, Yonsei University, Seoul, Korea

    Young Mee Shin & Ho Geun Lee

  2. Small Business Corporation, Seoul, Korea

    Seung Chang Lee

  3. Information and Decision Systems, College of Business Administration, San Diego State University, 5500 Campanile Drive, San Diego, CA, 92182, USA

    Bongsik Shin

Authors
  1. Young Mee Shin
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  2. Seung Chang Lee
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  3. Bongsik Shin
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  4. Ho Geun Lee
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Corresponding author

Correspondence to Bongsik Shin.

Additional information

An erratum to this article can be found at http://dx.doi.org/10.1007/s10796-009-9224-6

Appendix

Appendix

1.1 Appendix 1. Exploratory factor analysis

Construct

Item

Factor 1

Factor 2

Factor 3

Factor 4

Factor 5

Access quality

SQ1

.149

.115

.152

.684

.184

SQ2

.207

9.8E-04

.7.8E-02

.836

−1.8E-02

SQ3

3.9E-01

.107

.108

.836

4.9E-02

Service Variety

SV1

.671

.235

.118

.174

−.246

SV2

.666

6.1E-02

5.8E-02

8.1E-02

2.4E-02

SV3

.789

−6.9E-02

.110

4.0E-02

.217

SV4

.724

−9.8E-02

.172

8.8E-02

.115

SV5

.554

5.4E-02

.321

.101

2.9E-02

SV6

.711

.297

4.2E-02

7.2E-02

1.7E-02

SV7

.612

.261

.164

9.5E-02

.204

Cost rationality

CR1

.108

7.7E-02

.139

9.5E-02

.890

CR2

.115

3.8E-02

.205

.102

.881

Perceived Usefulness

PU1

.316

.188

.562

.178

6.2E-02

PU2

.166

.112

.862

.108

.154

PU3

.182

6.4E-02

.856

.115

.180

Perceived Ease of use

PE1

.145

.783

.168

3.3E-02

−9.9E-02

PE2

4.9E-02

.796

9.7E-02

2.6E-02

−3.7E-02

PE3

4.2E-03

.680

2.8E-02

.130

7.6E-02

PE4

.199

.740

2.9E-02

3.6E-02

.203

Eigenvalue

5.508

2.093

1.847

1.547

1.164

Explanation dispersion

28.992

11.015

9.721

8.144

6.125

Accumulation dispersion

28.992

40.006

49.728

57.872

63.997

1.2 Appendix 2. Confirmatory factor analysis

 

Indicator

Loading

T-stat. (*p ≤ 0.05)

Cronbach’s Alpha

Access quality

SQ1

0.528

9.193*

0.746

SQ2

0.754

11.856*

 

SQ3

0.685

11.219*

 

Service variety

SV1

0.600

10.263*

0.834

SV2

0.545

9.125*

 

SV3

0.617

12.033*

 

SV4

0.609

11.255*

 

SV5

0.522

9.106*

 

SV6

0.635

11.262*

 

SV7

0.608

10.708*

 

Cost rationality

CR1

0.707

11.453*

0.853

CR2

0.830

12.773*

 

Perceived usefulness

PU1

0.484

8.988*

0.784

PU2

0.716

14.691*

 

PU3

0.748

14.475*

 

Perceived ease of use

PE1

0.813

12.755*

0.776

PE2

0.690

10.976*

 

PE3

0.522

8.105*

 

PE4

0.708

11.321*

 

1.3 Appendix 3. Analysis of discriminant validity (*p < 0.05)

Division

Access quality

Service variety

Cost rationality

Perceived usefulness

Perceived ease of use

Access Quality

1

    

Service Variety

0.385 (5.437)*

1

   

Cost Rationality

0.251 (3.374)*

0.297 (4.272)*

1

  

Perceived Usefulness

0.375 (5.284)*

0.510 (8.490)*

0.442 (6.980)*

1

 

Perceived Ease of use

0.234 (2.974)*

0.368 (5.266)*

0.146 (1.968)*

0.317 (4.414)*

1

1.4 Appendix 4. Survey question items

Variables

Question items

Access Quality

MI is responsive.

MI is stable to use.

MI provides good access.

Service Variety

MI offers location-specific information.

MI offers customized information.

MI offers necessary information.

MI offers services I need.

MI enables better communicate with others.

MI offers timely information.

With MI, I can do my work regardless of time and location.

Cost Rationality

The price for MI’s paid service is acceptable.

The price for MI access is acceptable.

Perceived Usefulness

MI saves me time/effort over other means of performing the same tasks.

MI enables me to perform many tasks better than through other means.

MI provides a greater value than other ways of performing the same task.

Perceived Ease of Use

Learning to operate MI keypad is easy for me.

MI screen is clear and understandable.

I find MI to be flexible to interact with.

Navigating through MI is easy.

MI Usage

How often do you use MI?

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Shin, Y.M., Lee, S.C., Shin, B. et al. Examining influencing factors of post-adoption usage of mobile internet: Focus on the user perception of supplier-side attributes. Inf Syst Front 12, 595–606 (2010). https://doi.org/10.1007/s10796-009-9184-x

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