Users’ intention to continue using mHealth services: A DEMATEL approach during the COVID-19 pandemic

Alzahrani, Ahmed Ibrahim; Al-Samarraie, Hosam; Eldenfria, Atef; Dodoo, Joana Eva; Alalwan, Nasser

doi:10.1016/j.techsoc.2022.101862

Cited by 38 publications

(19 citation statements)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Propelled by the development of information technologies and government policy support, the development of mHealth has been an irresistible trend [ 10 ]. By changing the traditional medical models, mHealth can significantly improve the resource allocation efficiency, lower the social medical cost and improve people’s overall health level [ 11 , 12 ]. Digital technology is becoming an important contributor to promoting the spread of health services and the development of public health.…”

Section: Introductionmentioning

confidence: 99%

Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT

Tian

2022

IJERPH

View full text Add to dashboard Cite

With the deepening of population aging in China, chronic diseases are a major public health concern that threatens the life and health of nationals. Mobile health or mHealth can effectively monitor chronic diseases, which holds vital significance to the alleviation of social pressure caused by aging. To patients with chronic diseases, mHealth cannot give full play to its value, only when it is used in the long term. However, there is not yet research exploring mHealth continuance intention from the perspective of elders with chronic diseases. So, this research represents the first attempt to empirically analyze mHealth continuance intention from the perspective of elders with chronic diseases. The purpose of this research is to make up the research gap of the mHealth field and to put forward theoretical and practical implications based on research results. To obtain research data, a questionnaire was conducted. A total of 926 copies were collected online and 527 copies were collected offline. The structural equation model (SEM) was used for data analysis. Research results suggest that confirmation can significantly influence satisfaction, performance expectancy and effort expectancy. Meanwhile, confirmation and performance expectancy can significantly influence satisfaction. Additionally, effort expectancy, performance expectancy, social influence and facilitating conditions can directly and significantly influence continuance intention. Among them, performance expectancy can directly influence continuance intention in the most significant way. This research provides solid evidence for the validity of the integrated model of ECM-ISC and UTAUT in the mHealth field, which can be a theoretical basis for mHealth operators’ product R&D.

show abstract

Section: Introductionmentioning

confidence: 99%

Determinants of the Mobile Health Continuance Intention of Elders with Chronic Diseases: An Integrated Framework of ECM-ISC and UTAUT

Tian

2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…Alzahrani A I et al. [21] evaluated the criteria involved in the service quality of mHealth using secondary data.…”

Section: Related Workmentioning

confidence: 99%

An intuitionistic fuzzy decision support system for COVID-19 lockdown relaxation protocols in India

Devi¹,

Felix²,

Narayanamoorthy³

et al. 2022

Computers and Electrical Engineering

View full text Add to dashboard Cite

“…A wide variety of research papers have been published to examine and discuss the impact of the novel COVID-19 virus from the first outbreak in the world to the current stage in several fields. While the situation has become a pandemic, there is a reasonable probability for the nations to have an economic effect was published as a case study by [ 3 ]. Finucane et al [ 13 ] examined the social confidence among governments and societies, as well as the role of risk management in the creation of a trust, that could transform from low-trust to high-trust.…”

Section: Related Workmentioning

confidence: 99%

Knowledge-based normative safety measure approach: systematic assessment of capabilities to conquer COVID-19

Geetha

Narayanamoorthy

Manirathinam

et al. 2022

Eur. Phys. J. Spec. Top.

View full text Add to dashboard Cite

In this research article, we have introduced a knowledge-based approach to regional/national security measures. Proposed Knowledge-based Normative Safety Measure algorithm for safety measures helps to take practical actions to conquer COVID-19. We analyzed based on five dimensions: the correlation between detected cases and confirmed cases, social distance, the speed of detected cases, the correlation between imported cases and inbound cases, and the proportion of masks worn. It prompts actions based on the security level of the region. Through the use of our proposed algorithm, the government has accelerated the implementation of social distancing, accelerated test cases, and policies, etc., to prevent people from contracting COVID-19. This idea can be a very effective way to realize the impending danger and take action in advance. Help speed up the process of controlling the COVID-19. In pandemic times, it can be helpful to understand better. Holding the normative safety measure at a high level leads nations to perform excellently on triple T’s (testing, tracking, and treatment) policy and other safety acts. The proposed NSM approach facilitates for improve the governance of cities and communities.

show abstract