Technology-enabled cure and care: An application of innovation resistance theory to telemedicine apps in an emerging market context

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122558 - 122558

Published: April 11, 2023

Language: Английский

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From fear to faith in the adoption of medicine delivery application: An integration of SOR framework and IRT theory

Journal of Business Research, Journal Year: 2023, Volume and Issue: 166, P. 114140 - 114140

Published: July 1, 2023

Language: Английский

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Out of the way, human! Understanding post-adoption of last-mile delivery robots

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123242 - 123242

Published: Feb. 2, 2024

The pace of technological development is exceeding expectations and transforming the landscape last-mile delivery. This study investigates how users' post-adoption behavior in using delivery robots formed. Based on task-technology fit (TTF) model, we present a research model that includes both direct indirect factors have been previously overlooked literature. We collected data from 550 users robots. Our structural equation modelling results show two hedonic- (i.e., gratification anthropomorphism) three utilitarian- service quality experience, task requirements, user-facing technology performance) driven predict perceived TTF Value-in-use trust sequential mediating effects connect reuse likelihood word-of-mouth recommendation. findings suggest ways to improve robot strategies provide practical implications for industry.

Language: Английский

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Artificial intelligence-based food-quality and warehousing management for food banks' inbound logistics

Journal of Enterprise Information Management, Journal Year: 2024, Volume and Issue: 37(1), P. 307 - 325

Published: Jan. 27, 2024

Purpose In the reduction of food waste and provision to hungry, banks play critical roles. However, as they are generally run by charitable organisations that chronically short human other resources, their inbound logistics efforts commonly experience difficulties in two key areas: 1) how organise stocks donated food, 2) assess items quality fitness for purpose. To address both these problems, authors aimed develop a novel artificial intelligence (AI)-based approach warehousing management banks. Design/methodology/approach For diagnosing items, designed convolutional neural network (CNN); ascertain best arrange such within banks' available space, reinforcement learning was used. Findings Testing proposed innovative CNN demonstrated its ability provide consistent, accurate assessments five species fruit. The reinforcement-learning approach, well being capable devising effective storage schemes required fewer computational resources some approaches have been proposed. Research limitations/implications Viewed through lens expectation-confirmation theory, which found useful framework research this kind, AI-based inbound-logistics techniques exceeded normal expectations achieved positive disconfirmation. Practical implications As enabling machines learn handed operators, pioneering study showed could achieve excellent performance: i.e., consistency provided AI operations future dramatically enhance logistics' quality, specific case Originality/value This paper’s differs considerably from others, able effectively manage food-quality food-storage decisions more rapidly than counterparts.

Language: Английский

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Impact of using virtual avatars in educational videos on user experience

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: March 19, 2024

Popularization of knowledge is considerable importance and necessity, traditional popularization activities suffer from high cost low acceptance, which affect their effectiveness coverage. Applying virtual avatars to educational videos may be an effective way solve the problem. This study investigates impact applying on user experience. Constructed a model experience with avatars, collected data target population, analyzed it empirically. The video quality avatar expressiveness dimensions influencing factors have significant positive effect learning effect, emotional engagement experience; content dimension has negative three

Language: Английский

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Quality assessment of mHealth apps: a scoping review

Frontiers in Health Services, Journal Year: 2024, Volume and Issue: 4

Published: May 1, 2024

Introduction The number of mHealth apps has increased rapidly during recent years. Literature suggests a problems and barriers to the adoption apps, including issues such as validity, usability, well data privacy security. Continuous quality assessment assurance systems might help overcome these barriers. Aim this scoping review was collate literature on tools for compile components tools, derive overarching dimensions, which are potentially relevant continuous apps. Methods searches were performed in Medline, EMBASE PsycInfo. Articles English or German language included if they contained information development, application, validation generic concepts Screening extraction carried out by two researchers independently. Identified criteria aspects extracted clustered into dimensions. Results A total 70 publications met inclusion criteria. Included contain five further 24 Of 29 systems/tools, 8 developed specific diseases, 16 assessing all fields health another not restricted grouped 14 namely “information transparency”, “validity (added) value”, “(medical) safety”, “interoperability compatibility”, “actuality”, “engagement”, “data security”, “usability design”, “technology”, “organizational aspects”, “social “legal “equity equality”, “cost(-effectiveness)”. Discussion This provides broad overview existing systems. Many cover only few dimensions therefore do allow comprehensive assurance. Our findings can contribute development Systematic Review Registration https://www.researchprotocols.org/2022/7/e36974/ , International Registered Report Identifier, IRRID (DERR1-10.2196/36974).

Language: Английский

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A blockchain-based evaluation approach to analyse customer satisfaction using AI techniques

Heliyon, Journal Year: 2023, Volume and Issue: 9(6), P. e16766 - e16766

Published: May 27, 2023

Due to technological advancements and consumer demands, online shopping creates new features adapts standards. A robust customer satisfaction prediction model concerning trust privacy platforms can encourage an organization make better decisions about its service quality. This study presented approach predict using the blockchain-based framework combining Multi-Dimensional Naive Bayes-K Nearest Neighbor (MDNB-KNN) Multi-Objective Logistic Particle Swarm Optimization Algorithm (MOL-PSOA). regression is employed quantify impact of various production factors on satisfaction. The proposed method yields levels measurement for (98%), accuracy (95%), necessary time (60%), precision recall (95%) compared existing studies. Measuring with a trustworthy platform facilitates development conceptual practical distinctions influencing customers' purchasing decisions.

Language: Английский

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Anticipatory value-in-use in early-stage digital health service transformations: How consumers assess value propositions before and after abrupt, exogenous shocks

Journal of Business Research, Journal Year: 2023, Volume and Issue: 163, P. 113910 - 113910

Published: April 6, 2023

Language: Английский

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Predicting determinants influencing user satisfaction with mental health app: An explainable machine learning approach based on unstructured data

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 249, P. 123647 - 123647

Published: March 11, 2024

Language: Английский

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

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

Published: Jan. 1, 2025

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