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The findings of the present study contribute to the development of strategies and policies to enhance e-Health services in Bangladesh. Furthermore, as a result of the generic approach used in this study, the acceptance model developed can be easily modified to investigate the adoption of e-Health in other developing countries.

The purpose of this study was to identify the factors influencing consumers' behavioral and continuance intention to use mobile food delivery applications (MFDAs) during COVID-19 pandemic. Based on the theory of Planned Behavior, we examined the impact of social isolation, food safety, delivery hygiene, subjective norms, dining attitudes, and behavioral control on behavioral and continuous intention to use MFDAs. Data were collected from 432 users and analyzed using Structured Equation Modeling. The results showed that delivery hygiene, subjective norms, attitudes, and behavioral control were related to both behavioral and continuance intention to use MFDAs, whereas perceived food safety was related to behavioral intention and social isolation was related to continuance intention. Moreover, behavioral intention mediated the impact of perceived food safety, delivery hygiene, attitudes, and behavioral control on continuance intention. This study incorporated situational factors into theory of Planned Behavior, which might guide the practitioners to use MFDAs during COVID-19.

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This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

Purpose This study aims to understand the factors affecting the continuance usage intention (CUI) of mHealth among the rural elderly. Design/methodology/approach An integrated model was proposed with the constructs derived from multiple models such as the unified theory of acceptance and use of technology, information system success model and expectation confirmation model. Data were collected from 400 participants who had prior experiences with mHealth services in Bangladesh. The research model was tested using the partial least squares method based upon structural equation modelling. Findings The findings indicated that system quality, performance expectancy, facilitating conditions and social influence were significant to the degree of confirmation and ultimately affect satisfaction and CUI. Surprisingly, service quality and information quality were insignificant. Research limitations/implications This study has added in the field of knowledge by contributing some new thoughts and interpretations of continuance usage modelling for mHealth services. The findings may become beneficial for the government agencies, policymakers, mHealth systems developers and service providers. Originality/value As limited research was found on CUI of mHealth in the integrated view of rural elderly’s value, this research contributes to the extant literature by categorizing key factors that might support to proliferate the continuance usage of this service. Moreover, the contextualization of the related variables and integration of the existing model is theoretically original. Furthermore, because of a generic approach, the findings could be easily modified to assist other developing countries in the planning and up-take of mHealth.

Cloud ERP (Enterprise Resource Planning) systems have represented a paradigm shift in the information systems domain. They can provide flexibility, cost efficiency, scalability, adaptability, availability and configurable data to any type of company. This system has enjoyed rapid growth around the world. However, the adoption of cloud ERP in developing Middle Eastern countries such as Saudi Arabia is still in its infancy, and little research has been done to investigate this issue. This study examined the factors that influence the adoption of cloud ERP in the Kingdom of Saudi Arabia by combining the Diffusion of Innovation theory (DOI) and Technology-Organization-Environment (TOE) framework. The study found that a competitive environment, complexity, ICT infrastructure, observability, relative advantage, regulatory environment, ICT skill and top management support had a significant influence (p < 0.05) on the adoption of cloud ERP, while compatibility, organizational culture and trialability had no significant (p > 0.05) impact. The findings of this study will offer practical guidelines to the successful adoption of cloud ERP in Saudi Arabia and assist other developing countries in similar circumstances in planning and up-taking cloud ERP services.