2010Unpublished venueRequires access

Web-Based Instruction Diffusion and Adoption Model

Yajie Wang, Hongyu Du, Ying Hao

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Abstract

This article proposed that Web-Based Instruction (WBI) diffusion in colleges and universities was an innovation. Under the guidance of Diffusion of Innovation theory, the article described the WBI diffusion and adoption model as “five stages and four levels”. This model proposed the different diffusion strategies which adopted in view of the innovation acceptance. Then, the diffusion effect through the four adoption levels was analyzed. Potential development of the use of WBI, as well as its implication on how to encourage more faculty members to adopt WBI was investigated finally.

About this research paper

What this paper is about

This article proposed that Web-Based Instruction (WBI) diffusion in colleges and universities was an innovation. Under the guidance of Diffusion of Innovation theory, the article described the WBI diffusion and adoption model as “five stages and four levels”. This model proposed the different diffusion strategies which adopted in view of the innovation acceptance. Then, the diffusion effect through the four adoption levels was analyzed. Potential development of the use of WBI, as well as its implication on how to encourage more faculty members to adopt WBI was investigated finally.

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Method / approach

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Available abstract

This article proposed that Web-Based Instruction (WBI) diffusion in colleges and universities was an innovation. Under the guidance of Diffusion of Innovation theory, the article described the WBI diffusion and adoption model as “five stages and four levels”. This model proposed the different diffusion strategies which adopted in view of the innovation acceptance. Then, the diffusion effect through the four adoption levels was analyzed. Potential development of the use of WBI, as well as its implication on how to encourage more faculty members to adopt WBI was investigated finally.

Key concepts: Diffusion, Innovation diffusion, Web application, Diffusion of innovations, Knowledge management, Computer science, Diffusion theory, Business

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