As the use of Web‐based learning technologies to supplement college classroom instruction has increased, a key issue for faculty members is how to entice their students to accept these technologies. Research suggests that student experience with the technologies may influence their acceptance. The technology acceptance model was used as a framework to study the effect of student experience with Web‐based learning technologies on their acceptance of those technologies. Analysis showed that experience with the technology positively influenced perceived ease of use. Perceptions of ease of use and usefulness positively influenced attitudes towards the technology. Attitude positively influenced intention to use, and intention positively influenced usage. Results suggest that as student experience with a technology increases, they perceive it to be easier to use and more useful, and therefore, are more likely to use it. When introducing the technology, instructors should emphasize how easy the technology is to use and how useful it is in improving grades.
The purpose of this study is to examine first, whether there are differences in risk perception between the USA and Korea, second, whether there are differences in risk perception between apparel purchasers and non‐apparel purchasers across countries, third whether there are differences in the effect of risk factors on purchasing intention between the USA and Korea, and, fourth, whether there are differences in the effect of risk factors on purchasing intention between apparel purchasers and non‐apparel purchasers across countries. The findings suggest that there were differences in consumers’ risk perception between apparel and non‐apparel purchasers across countries. In addition, there are similarities and differences in the relationships between risk perception and purchase intention across countries.
Smart clothing is believed to have an enormous growth potential, but at present, it is not so attractive in terms of sales. This study identified various obstacles affecting consumers’ interest in smart clothing. Interviews were conducted with consumers who are resistant to innovation, those who would continue to use their phones and wearable devices of which safety and functionality have already been proven but reject smart clothing. Availability, which refers to the extent to which consumers can use a product or service, is also a significant factor influencing the innovation resistance of smart clothing. It was also observed that consumers reject smart clothing as an act of resisting innovation; many stated that they would not buy smart clothing unless a trustable brand produces it with appropriate functions and lower prices. Some people said that they refuse to purchase smart clothing due to aesthetic dissatisfaction despite the improved quality and performance. These results indicate that manufacturers should consider what functionality or technology would be appropriate to incorporate in clothing while ensuring fashionable styles and availability in many sizes.
This study examines how consumer involvement with apparel influences perceptions of an apparel product (T‐shirt) presented in a print advertisement. Consumer involvement with apparel was examined in relation to three advertisement response concepts: attitude toward the advertisement, product attribute beliefs, and product attitude. Also as part of the study, three dimensions of apparel involvement were tested (fashion, comfort, and individuality). Finally, an advertising processing model that integrates apparel involvement with the three advertisement response concepts was tested. A convenience sample of students attending a midwestern university in the USA participated in data collection. Respondents were presented with a full‐page advertisement for a fictitious brand of apparel and answered items on the questionnaire. Findings confirmed that dimensions of apparel involvement shaped consumer attitudes. A combination of apparel involvement dimensions (fashion, individuality, and comfort) influenced consumer beliefs about product attributes in the advertisement. In terms of gender differences, the comfort variable showed to be a stronger component of apparel involvement for men and women tended to be more involved in fashion. Findings also supported relationships among advertisement response variables previously tested by scholars. Product attribute beliefs and ad attitude were significant in product attitude formation.
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