Development of Electronic Commerce Adoption Model based on Structural Equation Modeling Techniques

Development of Electronic Commerce Adoption Model based on Structural Equation Modeling Techniques

N. Kuruwitaarachchi

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α Sri Lanka Institute of Information Technology

Development of Electronic Commerce Adoption Model based on Structural Equation Modeling Techniques

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Abstract

Advance Communication Technologies are playing a vital role in business today. In the world currently, many developing nations identified Small and Medium Scale organizations significantly important in counties’ economic development. But the contribution from the SME sector is considerably low. Therefore, addressing this issue is important in business development. Among many reasons identified as barriers for SMEs to perform, studies have identified that low usage or not using technologies like E-commerce effected to this low performance. Therefore, studies are conducted to identify barriers to use technology in SMEs and many frameworks are tested and verified in different domains. In this study mainly tested and varied a framework which is considering Information Technological factors effecting the adoption of E-commerce technology and how it is effected for SME development. In this study framework is developed using literature analysis and hypothesis are developed based on past studies in terms of Information Technology factors as a main consideration. Model testing part is done using Structural Equation Molding using IBM AMOS.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

N. Kuruwitaarachchi. 2019. \u201cDevelopment of Electronic Commerce Adoption Model based on Structural Equation Modeling Techniques\u201d. Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 19 (GJCST Volume 19 Issue G1): .

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GJCST Volume 19 Issue G1
Pg. 19- 26

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-G Classification: K.4.4

Submission ReceivedDecember 7, 2018
Peer Review Double Blind
Handling Editor
Accepted December 31, 2018
Published January 15, 2019

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May 7, 2019

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Article Matrices

Total Score: 101

Country: Sri Lanka

Subject: Global Journal of Computer Science and Technology - G: Interdisciplinary

Authors: N. Kuruwitaarachchi (PhD/Dr. count: 0)

View Count (all-time): 296

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Publish Date: 2019 05, Tue

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Total Views: 5487

Total Downloads: 1396

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