Towards Understanding the Formation of Continuous IT Use

The benefit of IT comes from the continuing use, not its initial adoption. Compared to the amount of research done on IT adoption, insights on why users continue to use IT systems are sparse. Nevertheless, there are publications with promising ideas and findings aiming to explain continuous use. This paper reviews and synthesizes the current research to examine whether a combination of previous results will lead to a better understanding on the formation of continuous IT use. Further, the current theoretical and methodological shortcomings are exposed and addressed by the derived research design. As study context, we use the implementation of a web based application for students. We focus on a longitudinal study that includes three measurements over an eleven week period. To measure the actual usage of participants, we combine self-reported and computer-recorded data. The study is currently running, with over 300 participants registered

Exploring Drivers of Sustained Participation in Decentralized Autonomous Organizations

Continuous developments in information technology and fast, constantly changing environments are challenging our notions of work within organizations. Researchers and practitioners often cite less-hierarchical organizations, which radically decentralize decision authority, as a possible solution to this issue. While some concepts such as Holacracy are captured in the literature under the terms ‘future of work’ or ‘reinventing organizations,’ so-called Decentralized Autonomous Organizations (DAOs) can provide researchers with additional possibilities to test and challenge assumptions about work and organizations. However, DAOs heavily rely on their members\u27 active participation to collectively manage, improve, and govern the organization, which introduces a risk to the organization. Therefore, our work aims at uncovering the drivers for participation within DAOs. We plan to contribute to research by opening up a new facet of participatory drivers in less-hierarchical organizations. From a practitioner\u27s perspective, our insights can be helpful in supporting their members’ active participation

Physician’s Use of Mandatory Information Systems: An Exploratory Research in German Hospitals

Physician´s use of information systems remains a highly interesting area for information systems research to the recent days. Numerous studies have been conducted to investigate the enablers and inhibitors of such use. However, no study has yet provided comprehensive insights. To advance efforts in this field, this research takes a step back and investigates the issue in an exploratory research layout. 47 informants provided input accompanied by more than 40 hours of workplace shadowing in two German hospitals. \ \ Our findings show that focusing only on physicians does not help to answer the question. The root causes for successful system deployment are a combined approach to focus not only on the user but also on the process and the system. The three factors influence each other. Our findings also underline the importance of leadership and organizational setting.

Factors Affecting Patients’ Use of Electronic Personal Health Records in England: Cross-Sectional Study

Background: Electronic personal health records (ePHRs) are secure Web-based tools that enable individuals to access, manage, and share their medical records. England recently introduced a nationwide ePHR called Patient Online. As with ePHRs in other countries, adoption rates of Patient Online remain low. Understanding factors affecting patients’ ePHR use is important to increase adoption rates and improve the implementation success of ePHRs. Objective: This study aimed to examine factors associated with patients’ use of ePHRs in England. Methods: The unified theory of acceptance and use of technology was adapted to the use of ePHRs. To empirically examine the adapted model, a cross-sectional survey of a convenience sample was carried out in 4 general practices in West Yorkshire, England. Factors associated with the use of ePHRs were explored using structural equation modeling. Results: Of 800 eligible patients invited to take part in the survey, 624 (78.0%) returned a valid questionnaire. Behavioral intention (BI) was significantly influenced by performance expectancy (PE; beta=.57, P<.001), effort expectancy (EE; beta=.16, P<.001), and perceived privacy and security (PPS; beta=.24, P<.001). The path from social influence to BI was not significant (beta=.03, P=.18). Facilitating conditions (FC) and BI significantly influenced use behavior (UB; beta=.25, P<.001 and beta=.53, P<.001, respectively). PE significantly mediated the effect of EE and PPS on BI (beta=.19, P<.001 and beta=.28, P=.001, respectively). Age significantly moderated 3 paths: PE→BI, EE→BI, and FC→UB. Sex significantly moderated only the relationship between PE and BI. A total of 2 paths were significantly moderated by education and internet access: EE→BI and FC→UB. Income moderated the relationship between FC and UB. The adapted model accounted for 51% of the variance in PE, 76% of the variance in BI, and 48% of the variance in UB. Conclusions: This study identified the main factors that affect patients’ use of ePHRs in England, which should be taken into account for the successful implementation of these systems. For example, developers of ePHRs should involve patients in the process of designing the system to consider functions and features that fit patients’ preferences and skills to ensure systems are useful and easy to use. The proposed model accounted for 48% of the variance in UB, indicating the existence of other, as yet unidentified, factors that influence the adoption of ePHRs. Future studies should confirm the effect of the factors included in this model and identify additional factors

Factors that affect the use of electronic personal health records among patients: A systematic review

Background: Electronic personal health records (ePHRs) are web-based tools that enable patients to access parts of their medical records and other services. In spite of the potential benefits of using ePHRs, their adoption rates remain very low. The lack of use of ePHRs among patients leads to implementation failures of these systems. Many studies have been conducted to examine the factors that influence patients’ use of ePHRs, and they need to be synthesised in a meaningful way.ObjectiveThe current study aimed to systematically review the evidence regarding factors that influence patients’ use of ePHRs. Methods: The search included: 42 bibliographic databases (e.g. Medline, Embase, CINHAL, and PsycINFO), hand searching, checking reference lists of the included studies and relevant reviews, contacting experts, and searching two general web engines. Study selection, data extraction, and study quality assessment were carried out by two reviewers independently. The quality of studies was appraised using the Mixed Methods Appraisal Tool. The extracted data were synthesised narratively according to the outcome: intention to use, subjective measures of use, and objective measures of use. The identified factors were categorised into groups based on Or and Karsh’s conceptual framework. Results: Of 5225 citations retrieved, 97 studies were relevant to this review. These studies examined more than 150 different factors: 59 related to intention to use, 52 regarding subjectively-measured use, and 105 related to objectively-measured use. The current review was able to draw definitive conclusions regarding the effect of only 18 factors. Of these, only three factors have been investigated in connection with every outcome, which are: perceived usefulness, privacy and security concerns, and internet access. Conclusion: Of the numerous factors examined by the included studies, this review concluded the effect of 18 factors: 13 personal factors (e.g. gender, ethnicity, and income), four human-technology factors (e.g. perceived usefulness and ease of use), and one organisational factor (facilitating conditions). These factors should be taken into account by stakeholders for the successful implementation of these systems. For example, patients should be assured that the system is secure and no one can access their records without their permission in order to decrease their concerns about the privacy and security. Further, advertising campaigns should be carried out to increase patients’ awareness of the system. More studies are needed to conclude the effect of other factors. In addition, researchers should conduct more theory-based longitudinal studies for assessing factors affecting initial use and continuing use of ePHRs among patients

Patients’ Adoption of Electronic Personal Health Records in England: Secondary data analysis

Background: In England, almost all general practices (GPs) have implemented GP online services such as electronic personal health records (ePHRs) that allow people to schedule appointments, request repeat prescriptions, and access parts of their medical records. The overall adoption rate of GP online services has been low, reaching just 28% in October 2019. In a previous study, Abd-Alrazaq et al adopted a model to assess the factors that influence patients’ use of GP online services in England. According to the previous literature, the predictive power of the Abd-Alrazaq model could be improved by proposing new associations between the existing variables in the model. Objective: This study aims to improve the predictive power of the Abd-Alrazaq model by proposing new relationships between the existing variables in the model. Methods: The Abd-Alrazaq model was amended by proposing new direct, mediating, moderating, and moderated mediating effects. The amended model was examined using data from a previous study, which were collected by a cross-sectional survey of a convenience sample of 4 GPs in West Yorkshire, England. Structural equation modeling was used to examine the theoretical model and hypotheses. Results: The new model accounted for 53% of the variance in performance expectancy (PE), 76% of the variance in behavioral intention (BI), and 49% of the variance in use behavior (UB). In addition to the significant associations found in the previous study, this study found that social influence (SI) and facilitating conditions (FCs) are associated with PE directly and BI indirectly through PE. The association between BI and UB was stronger for younger women with higher levels of education, income, and internet access. The indirect effects of effort expectancy (EE), perceived privacy and security (PPS), and SI on BI were statistically stronger for women without internet access, patients with internet access, and patients without internet access, respectively. The indirect effect of PPS on BI was stronger for patients with college education or diploma than for those with secondary school education and lower, whereas the indirect effect of EE on BI was stronger for patients with secondary school education or lower than for those with college education or a diploma. Conclusions: The predictive power of the Abd-Alrazaq model improved by virtue of new significant associations that were not examined before in the context of ePHRs. Further studies are required to validate the new model in different contexts and to improve its predictive power by proposing new variables. The influential factors found in this study should be considered to improve patients’ use of ePHRs

Análise do mobile banking junto aos bancos públicos federais : fatores contribuintes da intenção em usar e percepção dos não-usuários

Dissertação (mestrado)—Universidade de Brasília, Faculdade de Planaltina, Programa de Pós-Graduação em Gestão Pública, 2018.O comportamento do consumidor moderno está se tomando cada vez mais digital e essa mudança vem sendo impulsionada pelas inovações tecnológicas, igualmente responsáveis por diminuir distâncias e acelerar a interação entre as pessoas. Aderente a esse movimento, os bancos desenvolveram diversas tecnologias em seus serviços financeiros, destacando-se o Mobile Banking (MB). Mesmo com o crescimento do MB nos últimos anos, a sua aceitação para todo e qualquer tipo de cliente tem sido vista como um fator crítico de sucesso para as instituições financeiras. Quais fatores afetam o uso do MB e como o cliente vê o afastamento do atendimento presencial são alguns dos questionamentos cruciais para evolução e aperfeiçoamento das tecnologias bancárias. Assim, o objetivo deste trabalho foi estudar o comportamento dos clientes de bancos públicos federais em relação ao uso do MB. Servindo- se de uma abordagem metodológica mista, a pesquisa desdobrou-se em duas frentes, uma quantitativa e outra qualitativa. A parte quantitativa sustentou-se na técnica Modelagem por Equações Estruturais e na Teoria Unificada de Aceitação e Uso de Tecnologia - UTAUT2 e teve o intuito de identificar quais fatores afetam a intenção em usar o MB. A parte qualitativa, segundo a abordagem Análise de Conteúdo, teve o propósito de analisar a percepção dos clientes quanto à aceitação do MB em comparação com outros canais de atendimento: o internet banking e as agências bancárias. Os dados de 376 clientes foram consolidados em questionário com perguntas abertas e semiabertas. Os resultados da análise quantitativa mostraram que o “Hábito” é o que mais afeta a utilização do Mobile Banking, seguido pela “Expectativa de Desempenho” e pelas “Condições Facilitadoras”. O fato de os clientes estarem cercados de outras inovações serve como catalisador do processo de disseminação e aceitação das inovações bancárias. A constância principalmente no uso dos smartphones serve como mecanismo de aprendizagem e gera confiança dos clientes em aderirem o MB. Na parte qualitativa, pode-se notar que existem clientes na era dos aplicativos móveis (apps) que veem as agências como ambiente mais seguro e cômodo para realizar transações, o que coloca em questão que, mesmo com a expansão de aplicativos na internet, o comportamento de aceitação em relação a tecnologia bancária é permeado por outros aspectos internos, mais subjetivos às pessoas, ainda distantes da mera lógica de utilidade e desempenho. A transição do comportamento analógico para o digital dependerá de quão bem as variáveis orbitantes na interação homem x máquina forem compreendidas pelo governo, o mercado e a academia. Para os bancos públicos federais, a má compreensão dessas variáveis pode se tomar uma ameaça a sua permanência no mercado e a migração de seus clientes para o mundo virtual. Palavras-chave: Mobile Banking. Bancos Públicos Federais. UTAUT2.Modem consumer behavior is becoming increasingly digital and this change has been driven by technological innovations, which are also responsible for reducing distances and accelerating interaction between people. In line with this move, banks have developed various technologies in their financial Services, notably Mobile Banking (MB). Even with MB growth in recent years, its acceptance for any and every type of customer has been seen as a criticai success factor for financial institutions. What factors affect the use of MB, as the customer sees the distance from face-to-face Service are some of the crucial questions for the evolution and improvement of banking technologies. Thus, the objective of this work was to study the behavior of the clients of federal public banks in relation to the use of MB. Using a mixed methodological approach, the research unfolded on two fronts, one quantitative and the other qualitative. The quantitavia part was based on the technique Structural Equation Modeling and the Unified Theory of Acceptance and Use of Technology - UTAUT2 and aimed to identify which factors influence the intention to use MB. The qualitative part, according to the Content Analysis approach, had the purpose of analyzing the perception of the clients regarding the acceptance of MB in comparison with other Service channels: internet banking and bank branches. Data from 376 clients were Consolidated in a questionnaire with open and semi-open questions. The results of the quantitative analysis showed that the "Habit" most affected the use of Mobile Banking, followed by the "Performance Expectation" and the "Facilitating Conditions". The fact that clients are surrounded by other innovations serves as a catalyst for the process of dissemination and acceptance of banking innovations. Consistency, especially in the use of smartphones, serves as a leaming mechanism and generates the confidence of customers to adhere to MB. On the qualitative side, it can be noted that there are customers in the era of mobile applications (apps) that see the agencies as a safer and more convenient environment for transacting, which raises the question that, even with the expansion of applications on the Internet, acceptance behavior in relation to banking technology is permeated by other internai aspects, more subjective to people, still far from the mere logic of utility and performance. The transition from analogue to digital behavior will depend on how well the orbiting variables in man vs. machine interaction are understood by govemment, market and academia. For federal public banks, poor understanding of these variables can become a threat to their permanence in the market and the migration of their customers to the virtual world

Factors Affecting Patients’ Use of Electronic Personal Health Records

England has recently introduced a nationwide electronic personal health record (ePHR) called Patient Online. Although ePHRs are widely available, adoption rates of ePHRs are usually low. Understanding the factors affecting patients’ use of ePHRs is considered important to increase adoption rates and improve the implementation success of ePHRs. Therefore, the current study aims to examine the factors that affect patients’ adoption of ePHRs in England. A systematic review was conducted to identify factors that affect patients’ adoption of ePHRs. Then, the most common theories and models relevant to technology adoption and human behaviour were reviewed to select an appropriate theory and use it as a theoretical lens for examining the factors in the current study. The Unified Theory of Acceptance and Use of Technology (UTAUT) was selected and tailored to the context of ePHRs by including the most influential factors identified by the systematic review. A cross-sectional survey of 624 patients in four general practices in West Yorkshire was carried out to empirically examine the proposed model via structural equation modelling. The results showed that performance expectancy, effort expectancy, and perceived privacy and security were significant predictors of behavioural intention. The relationship between social influence and behavioural intention was not statistically significant. Both facilitating conditions and behavioural intention affected use behaviour. Performance expectancy was also a significant mediator of the effect of both effort expectancy and perceived privacy and security on behavioural intention. Eleven relationships were moderated by age, sex, income, education, ethnicity, and internet access. The proposed model accounted for 76% and 48% of the variance in behavioural intention and use behaviour, respectively. The current study makes a significant contribution by adapting and validating a theoretical model (UTAUT) in a new context (ePHRs). Further, this study contributes to practices by providing several implications for developers, marketers, and GP practices