In the beginning of a new product especially the
adopter category of early adopters is important.
| The Best Tech
Adopter category showcases the industry's ability to enable other sectors to improve their performance, by rewarding a company from outside the technology industry that has improved its business by incorporating a Welsh tech product.
They found that librarian adoption of innovations relating to information and communication technologies varied from the expected
adopter category distribution described by Rogers.
Therefore, there were only continuers in the
adopter category.
Adopter Category and Consumer Attitudes Toward Products
Therefore, it is of great interest to determine the characteristics of customers within each
adopter category (Brown & Duguid, 1991; Burruss, 2003; Haggman, 2009; MacVaugh & Schiavone, 2010; Martinez, Polo, & Flavian, 1998; Moore, 1999; Ozdemir & Trott, 2009).
This
adopter category, more than any other, has the greatest degree of opinion leadership in most systems.
The sample of countries selected for the dynamic
adopter category include Bolivia, China, Colombia, Ecuador, El Salvador, India, Indonesia, Panama, Thailand and Tunisia.
Bellman, et al., (1999) found in their study that consumers' digital lifestyle traits were better predictors of online buying behaviors than demographics; therefore, four technology-related traits, length of cell phone use, frequency of shopping online, technical ability, and self-reported new technology
adopter category, were also included in the study.
As mentioned earlier, the adoption propensities associated with each
adopter category differ markedly between this study and Rogers' study.
Participants were asked to respond to these questions according to their experiences with CSL; their responses were expected to reveal themes related to each stage of the adoption process and characteristics within each
adopter category. Participants were also asked to complete an information sheet during the interview that detailed their appointment status, years of teaching, discipline, courses taught, and other information pertinent to this study.
Chi-square analysis showed statistically significant differences between educators and dental hygiene practitioners in terms of
adopter category classification ([chi square]=371; P [less than or equal to] 0.001).
