From Beliefs to Success

Abstract

The technology acceptance model (TAM) is a popular model for the prediction of information systems acceptance behaviors, defining a causal linkage between beliefs, attitudes, intentions, and the usage of information technologies. Since its inception, numerous studies have utilized the TAM, providing empirical support for the model in both traditional and Internet-based computing settings. This chapter describes a research study that utilizes an adaptation of the TAM to predict successful Web page development, as an introduction of the TAM to a new domain, and the testing of a new dependent variable within the model. The study found some evidence to support the use of the TAM as a starting point for the prediction of Web development success, finding causal linkages between the belief constructs and the attitude constructs, and the intent construct and the successful development of Web pages. However, additional research is required to further study the expanded model introduced within this chapter.

Exploring resistance factors on the usage of hospital information systems from the perspective of the Markus’s Model and the Technology Acceptance Model

“…In this study, the relationship between gender and the resistance of employees to IT was not significant. This finding is contrasted by other studies (Bax & McGill, 2009;Chiu et al, 2001), but on a par with the findings of Viswanath Venkatesh et al (2011), who stated that gender had no impact on the use of computers. The result regarding gender in this study also did not comply with the other studies in the literature.…”

“…Age did not significantly influence resistance to IT in this study, and this finding is consistent with the study of Bax and McGill (2009), whereas some researchers reported that age had an effect on the intention of physicians to use electronic records (Chiu et al, 2001;Viswanath Venkatesh et al, 2011;Walter & Lopez, 2008). One reason can be the average age of personnel in the examined organization as they were mostly mid-aged.…”

“…For example, there are many different findings of the relationship between age and PU. Some researchers found that age had no significant effects on the variables of TAM, significantly in the studies of Bax and McGill (2009). However, older employees were more adaptable to change than younger employees (Chiu et al, 2001).…”

“…For example, women pay attention to PEU more than PU, and vice versa (Vishwanath Venkatesh & Morris, 2000). (Bax & McGill, 2009) concluded that women found the computer less useful than men, while they approach adaption to change more positively than men (Chiu et al, 2001). Owing to these distinctions, the following hypothesis is set: H5: There is no relationship between the hospital personnel's genders and their resistance to the hospital information system (IT).…”