Envisaging the intention and adoption of electronic health applications among middle-aged and older adults: Evidence from an emerging economy DOI Creative Commons
Naeem Hayat, Abdullah Al Mamun, Jingzu Gao

et al.

Digital Health, Journal Year: 2024, Volume and Issue: 10

Published: Jan. 1, 2024

Technology plays a substantial role in our daily lives, and the spread of COVID-19 paves way for use healthcare technologies to manage health comfort homes. Middle-aged older adults face issues require instant advice support. Electronic (EH) applications have emerged facilitate middle-aged receiving support instantly while remaining their The present study empirically evaluates intention adoption electronic with technological attributes perceived compatibility, cost, product value, technology accuracy, privacy motivation among from Malaysia. Moreover, this research examines mediating effect adopt EH between applications. This uses cross-sectional method employs an online survey assemble quantitative data 298 Malaysian adults. It utilizes partial least squares structural equation modelling analysis. analysis reveals that privacy, value significantly influenced apps. Furthermore, shows apps mediates relationship perception personal However, insignificantly instigates adoption. Finally, presents its implications, limitations future directions.

Language: Английский

The Role of Interaction Design Based on Fuzzy Decision Support System in Improving User Experience DOI
Jian Li, Bin Zhang

International Journal of Fuzzy Systems, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 20, 2025

Language: Английский

Citations

0
Nutzende im Fokus! Ein Weg zur nachhaltigen Entwicklung von Gesundheits-Apps DOI

Stefanie Obergrießer,

Sandra Schütz,

Jan‐Niklas Voigt-Antons

et al.

Springer eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 179 - 196

Published: Jan. 1, 2025

Citations

0
Predicting User Satisfaction and Recommendation Intentions: A Machine Learning Approach Using Psychophysiological and Self-Reported Data DOI

Victoria Oluwakemi Okesipe,

Théophile Demazure,

Joseph P. LaBelle

et al.

Lecture notes in information systems and organisation, Journal Year: 2025, Volume and Issue: unknown, P. 385 - 395

Published: Jan. 1, 2025

Language: Английский

Citations

0
Revealing Factors Influencing mHealth Adoption Intention Among Generation Y: An Empirical Study Using SEM-ANN-IPMA Analysis DOI Creative Commons
Ashikur Rahman, Jia Uddin

Digital, Journal Year: 2025, Volume and Issue: 5(2), P. 9 - 9

Published: March 21, 2025

Mobile Health (mHealth) technologies are transforming healthcare by making it more accessible, efficient, and patient-centric. This study investigates the factors influencing Millennial’s mobile health adoption intention (mHAI). We propose a research model based on integrated of Unified Theory Acceptance Use Technology—UTAUT belief model—HBM. A cross-sectional was carried out employing purposive sampling to enlist Generation Y (born between 1981 1996) 220 valid questionnaires were collected. employed structure equation modeling partial least square (SEM-PLS) along with artificial neural network (ANN) importance–performance map analysis (IPMA) analyze our model. The findings revealed that performance expectancy is most influential factor, while effort showed no significant association mHAI. Theoretical managerial implications offered expand literature digital studies, indicating how providers in developing countries can attract their potential users.

Language: Английский

Citations

0
Decreases in smartphone overuse and moderators among adults in general after the COVID-19 outbreak: A three-year prospective study DOI Creative Commons
Toshitaka Hamamura, Taiki Oka, Masaru Honjo

et al.

Addictive Behaviors, Journal Year: 2025, Volume and Issue: 167, P. 108329 - 108329

Published: April 5, 2025

The outbreak of the coronavirus disease 2019 (COVID-19) led many individuals to utilize digital devices, including smartphones, minimize in-person activities. How pandemic brought about a long-term impact on smartphone overuse is still unclear owing mixed results previous studies. This prospective study investigated whether levels increased over three years after COVID-19 outbreak. Recruited through research marketing company, 86,827 Japanese adults were deemed eligible take part in this and responded outcome measures other related use COVID-19. Data collection occurred before December at six subsequent time points between first Japan 2022. Contrary hypothesis, growth model analysis (GMA) revealed downward trajectories all measures: Smartphone Addiction Scale, Short Version, GMA d = -0.13; overuse, -0.14; negative consequences from -0.23. A complete case suggested robustness these effect sizes. Moderators declines included spending less money purchasing new apps stronger beliefs not having contracted As turned online platforms during outbreak, high reliance technologies, once perceived as pandemic, may have become necessary preventive against resulting diminished overuse.

Language: Английский

Citations

0
Comparative analysis of enhanced web applications and iOS solutions for improved user access in college bus management addressing response time challenges DOI
G. Geetha,

Kaukab Abid Azhar Nayab Iqbal

AIP conference proceedings, Journal Year: 2025, Volume and Issue: 3270, P. 020144 - 020144

Published: Jan. 1, 2025

Language: Английский

Citations

0
Two-stage dynamic topic modeling approach for identifying consumer demands of animated series DOI
Duokui He, Zhongjun Tang, Qianqian Chen

et al.

Multimedia Systems, Journal Year: 2025, Volume and Issue: 31(3)

Published: May 5, 2025

Language: Английский

Citations

0
Available medication and business benefits: an empathy strategy into risky but meaningful 24h pharmacy DOI
Yixing Yang, Lili Wei, Q Y Zhao

et al.

Kybernetes, Journal Year: 2025, Volume and Issue: unknown

Published: May 9, 2025

Purpose This paper aims to improve input-output utility and business benefits (consumer satisfaction purchases) of 24h pharmacies, avoiding them quitting this humanistic project due higher costs unstable returns. Design/methodology/approach In light, takes online reviews on multiple e-retail pharmacies from May 20, 2021, March 12, 2024, as research data explores the insights configurational effects pharmacy empathy under different types drugs, time periods cities with method combining texts mining fuzzy-set qualitative comparative analysis. Findings The results show that e-pharmacy includes responsiveness, perseverance, attitudes convenience. combination can enhance consumer purchases in ways (four configurations three purchase configurations). interaction drug service responsiveness perseverance be a “panacea” awaken consumers' gratitude or forgiveness. Besides, spatial heterogeneity indicates strategy metropolises more earns customer loyalty based emergency medication ordinary cities. Originality/value provides an optimistic trajectory empirical evidence for 24 continue meaningful but risky spatio-temporal context by employing strategy. Meanwhile, it offers feasibility mixed integrating textual research.

Language: Английский

Citations

0
Understanding the Motivations for Continuance Usage of Mobile Apps DOI
Rodrigo Feitosa de Oliveira Correia, Carlos Tam

Journal of Computer Information Systems, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Jan. 19, 2024

The evolution of mobile technology has contributed to the growth seen in applications (m-apps) usage. Since businesses have accelerated their development platforms for services, number m-apps that are available users increased. This poses a challenge companies, as they seek retain long-term user base also need be aligned with consumers' beliefs and wants, promote use own m-apps. research investigates motivations behind users' intention continuously We employ expectation-confirmation model (ECM) incorporate perspective lifestyle compatibility. A total 175 responses questionnaires were obtained from an online survey empirically validate proposed model, using partial least squares (PLS) method. findings demonstrate compatibility is strong predictor continuance

Language: Английский

Citations

3
A Review Of Text Mining Techniques: Trends, and Applications In Various Domains DOI Creative Commons

Hiba J. Aleqabie,

Mais Saad Sfoq,

Rand Abdulwahid Albeer

et al.

Iraqi Journal for Computer Science and Mathematics, Journal Year: 2024, Volume and Issue: 5(1)

Published: Jan. 1, 2024

Text mining, a subfield of natural language processing (NLP), has received considerable attention in recent yearsdue to its ability extract valuable insights from large volumes unstructured textual data. This review aims toprovide comprehensive evaluation the applicability text mining techniques across various domains andindustries.The starts off with dialogue basic ideas and methodologies that are concerned contentmining together preprocessing, feature extraction, machine learning algorithms.Furthermore, this survey highlights challenges faced at some stage implementing content miningstrategies. Additionally, explores emerging tendencies possibilities text-mining research. Itdiscusses advancements deep models for evaluation, integration different AI technologies likeimage or speech recognition multimodal analysis, utilization domain-unique ontologies information graphsfor more desirable facts, incorporation explainable strategies improveinterpretability. The findings overview analyzed identify common developments patterns textmining packages extraordinary domain names.The consequences paper will advantage researchers by means imparting updated expertise modernpractices mining. it manual practitioners selecting suitable theirunique application names while addressing capacity-demanding situations.

Language: Английский

Citations

3