Factors Impacting Consumers’ Sharing Behavior under Sharing Economy: A UTAUT-Based Model

Sharing economy is emerging gradually in China, which is a field worth studying, especially the use behavior of participants in e-commerce background. Based on the UTAUT model, this research considers the characteristics of sharing economy and establishes the basic framework of influencing factors of sharing behaviors. It takes P2P sharing riding as an example to do some empirical analysis through Smart PLS and SPSS PROCESS. It explores the influencing factors of participation behavior, the mediation effect of sharing intention. The study finds that performance expectancy, effort expectancy, social influence have significant positive influence on the sharing intention. The facility condition, social entertainment motivation and sustainable motivation have significant positive influence on the sharing behavior through the mediation of sharing intention

A meta-analysis based modified unified theory of acceptance and use of technology (Meta-UTAUT): A review of emerging literature

YesOver the last more than four decades, several theoretical models have been developed to understand the acceptance and use of information systems. Realising the dilemma in selecting the appropriate theoretical model to assess the acceptance and use of technology and considering the pattern of using the Unified Theory of Acceptance and Use of Technology (UTAUT), a modified version (meta-UTAUT) has been developed based on the synthesis of results from 162 existing studies. The aim of this article is to review the emerging literature on meta-UTAUT and offer some future research recommendations. The analysis suggests that studies have started citing the relationships suggested by meta-UTAUT and researchers have reviewed it alongside other alternative models while analysing acceptance and use of technology

extending the expectation confirmation model

Tam, C., Santos, D., & Oliveira, T. (2018). Exploring the influential factors of continuance intention to use mobile Apps: extending the expectation confirmation model. Information Systems Frontiers, 1-15. https://doi.org/10.1007/s10796-018-9864-5The use of mobile applications (apps) has been growing in the world of technology, a phenomenon related to the increasing number of smartphone users. Even though the mobile apps market is huge, few studies have been made on what makes individuals continue to use a mobile app or stop using it. This study aims to uncover the factors that underlie the continuance intention to use mobile apps, addressing two theoretical models: Expectation confirmation model (ECM) and the extended unified theory of acceptance and use of technology (UTAUT2). A total of 304 questionnaires were collected by survey to test the theoretical framework proposal, using structural equation modelling (SEM). Our findings indicate that the most important drivers of continuance intention of mobile apps are satisfaction, habit, performance expectancy, and effort expectancy.authorsversionpublishe

Realist Evaluation of the Early-Stage Implementation of a Smartphone-Based Disease Surveillance Project in Two Armed-Conflict Communities in Nigeria

We investigate the early-stage implementation of a smartphone-based acute flaccid paralysis (AFP) surveillance project in communities experiencing armed conflicts in Nigeria. We aim to expose factors influencing the early-stage implementation of smartphone-based AFP surveillance in two rural communities experiencing armed conflicts in Northern Nigeria. Thus, exploring “what works, for whom and under what contextual conditions?” in the early-stage implementation of a smartphone-based AFP surveillance project, given the involvement of multiple stakeholders. We adopted stakeholder theory as a lens to guide the study. We adopted a qualitative case study method, realist philosophy, semi-structured interview, participatory observation, and thematic data analysis. The findings reveal mechanisms (sense of connectedness, ownership, fear) and contextual conditions (infrastructural challenges, healthcare workforce, security constraints) influencing early-stage implementation. We postulate a model that explains the factors influencing the early-stage implementation of the smartphone-based AFP surveillance project in security-constrained communities

Factors affecting adoption of mobile health among healthcare workers in Nigeria.

Doctoral Degree. University of KwaZulu-Natal, Durban.Mobile technology has been shown to play a significant role in the healthcare sector, especially in developing countries, because of their capacity in addressing some of the sector’s difficulties. One of the numerous benefits of m-health is that it is an affordable solution that increases access to health services. Despite the recognised benefits associated with m-health technology, there are concerns about the reasons why its adoption is relatively low in emerging economies. Therefore, this study was undertaken to examine the factors influencing the adoption of m-health from the perspective of healthcare workers and hospital management in Nigeria. The research explored the information and communication technologies available in Nigerian hospitals, and afterwards, the knowledge of healthcare workers on m-health technology and its uses was examined. Next, the individual, technological, organizational and environmental determinants of m-health technology were investigated. The study adopted a positivist standpoint in conducting the research. A survey design was employed for the study, using both quantitative and qualitative research methods. The population of the study consisted of healthcare workers in Nigeria and the sample was drawn from six healthcare facilities in Lagos State, using stratified random sampling and purposive sampling. Quantitative data were collected through questionnaires from 201 healthcare workers, while qualitative data were collected through interviews with three hospital managers. The Statistical Package for Social Sciences (SPSS) software was used to analyse quantitative data, while the qualitative data were analysed with Nvivo software. The Unified Theory of the Acceptance and Use of Technology (UTAUT), and the Technology, Organization, and Environment (TOE) Framework underpin this study. The findings revealed the existence of ICT in all the hospitals surveyed and the common ICT tools used were the internet and mobile phones. Also, the findings showed a relatively good knowledge of m-health among healthcare workers. Lastly, self-efficacy, experience, effort expectancy, government support and external support were found to be factors that influence m-health adoption in Nigeria.The primary recommendation is that, in order to enhance effective service delivery, standard ICT policies that support the integration of mobile device use for the provision of healthcare throughout the country be established.No isiZulu abstract available

Determinants of customers’ intention to adopt green banking technology services within Islamic banks of the United Arab Emirates

Green Banking (GB) is encouraging environment-friendly practices and reducing the carbon footprint from banking operations by promoting paperless financial services based on the intensive use of technology. However, the adoption level of GB technology remains unsatisfactory among bank customers in the United Arab Emirates. This study explored the dimensions of individual, technological, organisational, environmental and religious determinants of the phenomenon. The study further extended the Unified Theory of Acceptance and Use of Technology (UTAUT) by examining the identified dimensions’ effect on customers’ intention to adopt GB technology, alongside the moderating role of gender, age and experience. The exploratory sequential mixed-method design was deployed in this study. A preliminary semi-structured interview was conducted among ten bank professionals to explore the dimensions of the predetermined determinants. The qualitative findings using the Thematic Content Analysis (TCA) revealed the related dimensions affecting customers’ adoption of GB technology. The developed research model was validated via a cross-sectional survey of 332 Islamic bank customers. The quantitative results using the Partial Least Squares Structural Equation Modelling (PLS-SEM) confirmed the significant impact of performance expectancy, facilitating condition, customer awareness, personal innovativeness, perceived benefit, system quality and bank reputation on customers’ intention to adopt GB technology. The moderating results using Multi-Group Analysis (MGA) revealed that only gender affects the relationship between performance expectancy and customers’ intention to adopt GB technology. This study has significant theoretical, methodological and practical contributions to enhance the understanding of customers’ intention to adopt GB technology. The study could also assist bankers in designing effective strategies to diminish customers’ resistance of GB technology through the applicability of the newly proposed factors. Reflecting the moderating influence of gender provides an in-depth clarification for policy-makers in pitching GB technology to relevant customers with minimal waste of resources by formulating distinct strategies for dynamic demographic segments

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