A Framework to Investigate the Role of Mobile Technology in the Healthcare Organizations

The technology acceptance model (TAM), and the modified technology acceptance model (MTAM) will be evaluated to measure the acceptance of mobile technology in a healthcare scenario. Based on the results of the study, a user behavioral model in regard to mobile technology adoption in healthcare will be proposed

Exploring Factors Associated with Wireless Internet via Mobile Technology Acceptance in Mainland China

This study explores factors significantly impact the acceptance of Wireless Internet via Mobile Technology (WIMT) in China. The results indicate that the acceptance of WIMT is related with factors of: perceived usefulness, perceived ease of use, social influences, wireless trust environment, and facilitating conditions. It provides diagnostic insight into how different factors influence user intention to accept WIMT in China, and thus help business build solid strategy to prompt WIMT and m-commerce there

Acceptance Of Wireless Internet Via Mobile Technology In China

This study explores factors associated with the acceptance of Wireless Internet via Mobile Technology (WIMT) in China. The results indicate that the acceptance of WIMT is related to the factors of perceived usefulness, perceived ease of use, social influences, wireless trust environment, and facilitating conditions. It provides diagnostic insight into how different factors influence user intention to accept WIMT in China, and thus help business develop strategy to prompt WIMT communications and mobile commerce there

Integrating Mobile Technology Quality Service, Trust and Cultural Factors Into Technology Acceptance of Mobile Learning: A Case of the Jordan Higher Education Institution

The success of mobile learning system in higher education depends a lot on the students‟ acceptance of the technology. From an early investigation, students at Jordanian higher educational institutions however are still unwilling to use mobile learning applications and services. The students‟ acceptance should be a key concern for the management of a university in considering the implementation of mobile learning system. The objective of this study is to identify the factors that influence the acceptance of mobile learning system based on the Technology Acceptance Model (TAM). A total of 500 questionnaires were distributed to five universities in Jordan, out of which 398 question-naires were returned, representing 79% response rate. Statistical techniques including bivariate correlation analyses, multiple linear and stepwise regression analyses, T-tests, and One-Way ANOVA were used. The results showed three core determinants: Culture, Trust, and Technology Service Quality as significantly influenced Perceived Usefulness and Perceived Ease of Use. Perceived Usefulness and Perceived Ease of Use moreover have significantly determined Attitude, while Perceived Usefulness and Attitude, have significantly determined users‟ Behavioral Intention. Among the five variables of culture, the study found Power Distance to be the most contributive variable, and Trust in University as the most contributive variable under the Trust factor. Meanwhile, the most contributive variable in Technology Service Quality factor is Accessibility. For the Demographic factors, the study proved that gender, mobile learning experience, and mobile internet experience have significantly influenced students‟ acceptance. Based on the results obtained, the study proposes a model of mobile learning acceptance based on TAM. A comprehensive understanding of this model will assist decision makers to enhance the acceptance of the mobile learning system among students in Jordanian higher educational institutions in the future

The Influence of Analyst Communication in IS Projects

Information system (IS) researchers have long noted that IS analysts need to understand users’ needs if they are to design better systems and improve project outcomes. While researchers agree that analyst communication activities are an important prerequisite for such an understanding, little is known about the nature of different communication behaviors IS analysts can undertake to learn about users’ system needs and the impact of such behaviors on IS projects. To address this gap, this paper draws from the learning literature to articulate the information transmission activities IS analysts can undertake and the content of the information they can transmit when learning about users’ organizational tasks and information needs. The influence of analyst communication activities on the generation of valid information regarding user needs, analyst learning, and IS project outcomes are then investigated via a case study of two IS projects. The analysis of the two cases suggests that analysts who encourage the use of concrete examples, testing, and validation, and who solicit feedback about users’ business processes are likely to better understand users’ tasks, and in turn design systems that better meet users’ task needs than analysts who do not

To download or not to download the Covid-19 Track and Trace App? What is more influential in users’ minds?

Objectives: to investigate the role of values in technology acceptance in general and in the context of the UK Covid Track and Trace App. Methods: A survey and interview study was conducted to elicit users’ perceptions of values in general, values in relation to choice of IT products and values which were influenced the decision to download (or not) the NHS Covid-19 Track and Trace App. Other non-value issues such as utility, price and recommendations were considered. Results: Users’ value in life differ slightly from those considered important for selecting IT products. For general IT product decisions, functionality, trust and price with values equality, security and sustainability were important. For the Covid-19 App decision two values, helpfulness and equality, with recommendations/trust and operating system compatibility, were the main influences. Interview data indicated that downloader users were motivated by social responsibility and utility – being able to access workplaces and leisure venues – while non-downloaders had little perceived need for the App, combined with mistrust of the App's provenance (NHS and the Government) linked to security and privacy concerns. The implications for values in technology acceptance decisions are discussed