Introduction The Informing Science framework consists of three distinct parts: informer, delivery mechanism, and client (E. B. Cohen, 1999). E-commerce vendors (the informers) communicate to and interact with customers (clients) of vendor's products and services. This is achieved through a delivery mechanism that is composed of three parts: Web site infrastructure, its human-computer interfaces, and communication medium - Internet. Gill (2008), through a client resonance model, states that client's initial mental model of informing system is altered by a series of filters based on various biological, psychological, motivational, and visceral elements and factors. Based on Gill's model, informer's goal, via design of delivery mechanism, is to acquire client's attention and then to motivate client to engage in informing process. Vendors have choices in terms of technologies they use to develop and support their Web sites but face challenges in designing Web sites that effectively and efficiently inform many different users with different levels of computer knowledge and Internet experience, differing demographic profiles, and presence of sensory, cognitive, or mobility impairments. It is human-computer interfaces that communicate information to customers, and it is through interfaces that customers purchase vendor's products and services, thus communicating information back to vendor. The success of this information exchange is dependent on customers' mental model of Web site, influenced by customers' perceptions of usefulness of Web site and how easy Web site is to use. Numerous studies have examined and predicted usage of e-commerce Web sites using Technology Acceptance Model and its primary constructs of perceived usefulness and perceived ease of use. The Technology Acceptance Model (TAM) (see Figure 1) states that success of a system can be determined by user acceptance of system, measured by two variables: Perceived Usefulness of system and Perceived Ease of Use of system (Davis, 1989). According to TAM, a user's perceptions about a system's usefulness and ease of use result in an intention to use or not use system (Davis, 1989; Venkatesh, 2000). It can be argued that a Web site's usefulness and ease of use act upon filters, thereby acquiring customer's attention and motivating customer to use system. [FIGURE 1 OMITTED] The TAM has been tested in many empirical studies (Burton-Jones & Hubona, 2005), was found to be highly valid and reliable (Koufaris, 2000), and is widely referenced (Devaraj, Fan, & Kohli, 2002). The external variables represent attributes or characteristics of system, such as overall design and features of system; user's computer skills, capabilities, and abilities; and user's knowledge, beliefs, and attitude toward computers. Perceived usefulness is defined as the degree to which a person believes that using a particular system would enhance his or her job performance (Davis, 1989, p. 320). Perceived ease of use refers to the degree to which a person believes that using a particular system would be free of effort (p. 320). Smith (2008) conducted an empirical study of four e-commerce Web sites with participation from a unique and often understudied segment of population--the senior generation or people defined as 65 years of age and older (Fox, 2004). The research model that was used, showing hypotheses and construct relationships, is depicted in Figure 2. The null hypotheses (SGH) were as follows: * SGH1: The senior's perception of products and services offered by an e-commerce Web site will not have a significant effect on senior's perceived usefulness of an e-commerce Web site. * SGH2: The senior's perception of perceived usefulness of an e-commerce Web site will not have a significant effect on senior's attitude toward using an e-commerce Web site. …
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