Introduction Conducting business over Web has become a key component of business strategies. According to U. S. Department of Commerce (2004, 2006a, 2006b, 2007) total retail e-commerce sales in 2007 were $136 billion, an increase of 25.6% from previous year and an amazing 207% increase compared to 2002. E-commerce sales as a percentage of total retail sales also continued to increase and, for 2007, were at 3.3% of total retail sales. Despite continued growth in e-commerce and potential for future growth in e-commerce, companies have reported problems in attracting new customers and retaining existing ones (Devaraj, Fan, & Kohli, 2002) and face challenges in converting online visitors to real purchasers (C. Chen, 2003). One of ways to explain this is to apply Technology Acceptance Model (TAM) (see Figure 1) which states that success of a system can be deter mined by user acceptance of system, measured by two variables: Perceived Usefulness of system and Perceived Ease of Use of system (Davis, 1989). According to model, 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). [FIGURE 1 OMITTED] The TAM has been tested in many empirical studies (Burton-Jones & Hubona, 2005), found to be highly valid and reliable (Koufaris, 2000), and is widely referenced (Devaraj et al., 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. Perceived ease of use refers to the degree to which a person believes that using a particular system would be free of effort (Davis, 1989, p. 320). Data from U. S. Census Bureau (2004) indicate that U.S. population, when compared to 2000 census and then adjusted for fertility, mortality, and international migration rate estimates, will increase 9.8% by 2010, another 8.7% by 2020, and another 8.3% by 2030. Seniors, people 65 years of age and older (Fox, 2004), are estimated, based on this same data, to increase at a faster rate, a 15% increase by 2010 and a staggering 35.8% by 2020. What is even more significant is that by 2030 senior population will double and become almost 20% of U.S. population. This is important because senior population is increasingly using Internet to communicate via e-mail with family and friends and to get information and evaluate services (Hanson, 2001). Seniors also conduct e-commerce transactions, utilize online access to financial services such as banks and brokerage firms, obtain travel information, and research health-related services. A problem facing designers of e-commerce Web sites is that seniors face challenges to using computers and navigating Web sites (Gregor & Newell, 2001; Hanson, 2001) since, as people age, their sight, their cognitive functions, and their motor-skills may change (Becker, 2004; Gregor & Newell, 2001; Hawthorn, 2000). Since usability of an e-commerce Web site can be a predictor of success (Agarwal & Venkatesh, 2002; L. Chen, Gillenson, & Sherrell, 2004; Gefen, Karahanna, & Straub, 2003), these aging problems have an impact on ability for seniors to effectively use Web (Becker, 2004) and to conduct e-commerce transactions. It is seniors' desire to use e-commerce Web sites and design of e-commerce Web sites that were focus of this research. Prior studies of TAM and e-commerce Web sites have not been conducted with sole participation from senior population. …
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