Intentions to Use Information Technologies: An Integrative Model

An integrative model explaining intentions to use an information technology is proposed. The primary objective is to obtain a clearer picture of how intentions are formed, and draws on previous research such as the technology acceptance model (Davis, Bagozzi, & Warshaw, 1989) and the decomposed theory of planned behavior (Taylor & Todd, 1995a). The conceptual model was tested using questionnaire responses from 189 subjects, measured at two time periods approximately two months apart. The results generally supported the hypothesized relationships, and revealed strong influences of both personal innovativeness and computer self-efficacy

A Meta-Analytic Review of More than a Decade of Research on General Computer Self-Efficacy: Research in Progress

In their seminal work, Compeau and Higgins (1995) provided the IS research community with a measure of computer selfefficacy (CSE) based on Bandura’s (1986) Social Cognitive Theory. The use of this CSE measure has since flourished within various academic literatures. Recent research interest (Marakas, Johnson, & Clay, 2007; Thatcher, Zimmer, Gundlach et al., 2008), however, challenges the continued application and analysis of Compeau and Higgins’ (1995) measure despite its widespread adoption. This paper presents the results of a meta-analysis of general CSE provided through the foundation of technology adoption research. The results should create future dialogue regarding general CSE and its application. We show evidence of moderate associations (r = |0.32| to |0.59|) of general CSE with several technology adoption research constructs. Guidance is offered for future moderator analyses, which may likely provide empirical evidence for either the support or refutation of current research claims in regard to general CSE

Understanding the Formation of General Computer Self-Efficacy

This study investigates the information sources of general computer self-efficacy suggested by its origin in Social Cognitive Theory. These antecedents are rarely explored in the literature, and much of the focus has been on personal experiences or environmental factors. A re-examination of the theoretical foundation of self-efficacy suggests a broader set of antecedents. Selecting business students as the research subject, we propose and test a comprehensive nomological network of computer self-efficacy with seven antecedents and two consequences—computer attitudes and MIS intention (defined as one’s intention to select MIS for his/her future study and career). The results support that computer knowledge, current computing experiences, computer anxiety, and age affected the formation and development of computer self-efficacy among the sampled students; computer self-efficacy and social norms had strong effects on computer attitudes and MIS intention. Implications for both research and MIS education are discussed

Acceptance of technological change: Do age, expertise and self-efficacy matter?

This study was designed to examine the acceptance of change by employees of different ages, in different contexts. This study challenged the stereotypes held against older individuals by proposing that factors other than age contribute to the acceptance of changes. It examined two context-specific variables, self-efficacy and expertise which contribute to acceptance of technological changes. The findings indicated that older individuals with computer experience had higher self-efficacy. On the other hand, younger individuals had higher self-efficacy, regardless of computer experience. Also, individuals who felt younger than they actually were had higher self-efficacy when they had experience with computers, compared to those who felt older than they were

Modeling the Longitudinality of User Acceptance of Technology with an Evidence-Adaptive Clinical Decision Support System

This paper presents multiple innovations associated with an electronic health record system developed to support evidence-based medicine practice, and highlights a new construct, based on the technology acceptance model, to explain end users’ acceptance of this technology through a lens of continuous behavioral adaptation and change. We show that this new conceptualization of technology acceptance reveals a richer level of detail of the developmental course whereby individuals adjust their behavior gradually to assimilate technology use. We also show that traditional models such as technology acceptance model (TAM) are not capable of delineating this longitudinal behavioral development process. Our TAM-derived analysis provides lens through which we summarize the significance of this project to research and practice. We show that our application is an excellent exemplar of the “end-to-end” IS design realization process; it has drawn upon multiple disciplines to formulate and solve challenges in medical knowledge engineering, just-in-time provisioning of computerized decision-support advice, diffusion of innovation and individual users’ technology acceptance, usability of human-machine interfaces in healthcare, and sociotechnical issues associated with integrating IT applications into a patient care delivery environment

Privacy Concern and Online Transactions: The Impact of Internet Self-efficacy and Internet Involvement

Purpose – This study aims to examine the effects of internet self-efficacy and internet involvement on privacy concern and the effect of privacy concern on the frequency of online transactions. The study also seeks to examine the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions. Design/methodology/approach – A structural equation model was developed to test the hypotheses. The model was tested using the LISREL 8.8 software and both structural and measurement parameters were estimated. Findings – Findings suggest that internet self-efficacy and internet involvement affect privacy concern negatively; and privacy concern, in turn, affects frequency of online transactions negatively. Findings also indicate that the direct effect of internet self-efficacy and internet involvement on the frequency of online transactions is positive. All parameters are significant and in the hypothesized direction. Practical implications – Findings highlight the significance of internet self-efficacy and internet involvement in explaining both privacy concern and online transactions. The negative impact of privacy concern shows strategically why businesses should take measures to protect privacy of consumers and assure them that the information they provide is protected and secure. Originality/value – This research contributes to the debate on privacy concern and adds to the growing body of literature on the impact of privacy concern on online transactions. Both antecedents and consequence of privacy concern are examined in the study

A Smartphone APP for Health and Tourism Promotion

The main purpose of this study is to develop an APP by integrating GPS to provide the digitized information of local cultural spots to guide tourists for tourism promotion and the digitized information of mountaineering trails to monitor energy expenditure (EE) for health promotion. The provided cultural information is also adopted for educational purpose. Extended Technology Acceptance Model (TAM) was used to evaluate the usefulness and behavior intention of the provided information and functions in the developed system. Most users agreed that the system is useful for health promotion, tourism promotion, and folk-culture education. They also showed strong intention and positive attitude toward continuous use of the APP