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Web has already become the richest information resource of the world. The developments of web-based applications are becoming more reliant on providing high quality of web content and information structure, or widely known as information architecture (IA). However, consumer face with much of incomplete content, unqualified information, poor quality of web structure and lacking of cultural sensitivity when dealing with web services or e-commerce. The inadequacy of consumer evaluation framework to assess culturally-mediated web IA, burden consumer with decisions biased to independent indicators such as aesthetics, quality, credibility and cultural usability. The consumer evaluation usually unsupported, at random and imbalance usage of these indicators. Thus, this paper will provide an overview of the research framework for the development of Consumer Evaluation Measurement Model (CEMMo) in culturally-mediated web IA. The framework will adapt `Web-Architectural Inducing Model' (WA-IM) as the theoretical grounding consideration. A review of relevant literature and studies on IA will also be presented in this paper.