Examining Users’ Acceptance Intention of Health Applications Based on the Technology Acceptance Model DOI Open Access

Jeong‐Wook Park,

Chul Won Lee, Chanwook Do

и другие.

Healthcare, Год журнала: 2025, Номер 13(6), С. 596 - 596

Опубликована: Март 9, 2025

Background/Objectives: Mobile health applications are essential for improving healthcare access and promoting healthy lifestyles. This study investigates the roles of perceived ease use, usefulness, satisfaction in shaping behavioral intentions using Technology Acceptance Model. Methods: A survey 329 mobile application users Korea was analyzed confirmatory factor analysis structural equation modeling to test hypothesized relationships. Results: The findings indicate that use positively influences usefulness (H1). Customer is influenced by both (H2 H3). Furthermore, intention affected customer (H4 through H6). Conclusions: from this elucidate how can enhance users’ perceptions thereby influencing their increased satisfaction. research also advances our understanding services informs development effective operational marketing strategies.

Язык: Английский

The role of blockchain-enabled traceability, task technology fit, and user self-efficacy in mobile food delivery applications DOI
Khuram Shahzad, Qingyu Zhang,

Abaid Ullah Zafar

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 73, С. 103331 - 103331

Опубликована: Март 21, 2023

Язык: Английский

Процитировано

63

Understanding Consumers’ Acceptance Intention to Use Mobile Food Delivery Applications through an Extended Technology Acceptance Model DOI Open Access
Soyoung An, Thomas Eck,

Huirang Yim

и другие.

Sustainability, Год журнала: 2023, Номер 15(1), С. 832 - 832

Опубликована: Янв. 3, 2023

The rapid growth of the domestic food delivery market has led to intense competition as use applications grown quickly. This study explored variables personal innovativeness, trust, perceived ease use, usefulness, and intention such by testing extended technology acceptance model (ETAM). By using Google Forms, data were collected from 10 May 2022 for a period two weeks Koreans who have experience mobile applications. A total 296 responses used test hypotheses. findings revealed that innovativeness had positive effect on use. Trust was found positively affect usefulness significantly influenced current research provides practical implications suggesting with deserves further consideration. It shown be key factor in increasing can help influence creation strategies enhance continuous usage.

Язык: Английский

Процитировано

62

Evaluating the role of technology and non-technology factors influencing brand love in Online Food Delivery services DOI

Rajendiran Anbumathi,

Sriram Dorai, Umayal Palaniappan

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2022, Номер 71, С. 103181 - 103181

Опубликована: Дек. 1, 2022

Язык: Английский

Процитировано

46

Personalized Tourism Recommendations and the E-Tourism User Experience DOI
Xinran Yang, Liaoniao Zhang,

Zixin Feng

и другие.

Journal of Travel Research, Год журнала: 2023, Номер 63(5), С. 1183 - 1200

Опубликована: Июль 18, 2023

Previous research indicates that personalized tourism recommendation (PTR) is becoming increasingly important in marketing. However, many areas of PTR remain unexplored. This study based on Stimulus-Organism-Response theory; integrated constructs from PTR, big data, and artificial intelligence; the technology acceptance model. The quantitative approach was conducted through an online survey 496 users Ctrip. PLS-SEM used to test collected data. Three factors were found stimulate consumers’ perceptions PTR: perceived personalization, visual appearance, information quality. Consumers’ reactions can be divided into internal processing organism, which includes perception as “technology trust” recommended content “PTR attitude.” contributes literature smart marketing by developing empirically testing model providing a guide determine users’ trust attitudes toward or other e-services.

Язык: Английский

Процитировано

37

Unraveling customer repurchase intention in OFDL context: An investigation using a hybrid technique of SEM and fsQCA DOI
Nikhil Dogra, Mohd Adil, Mohd Sadiq

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 72, С. 103281 - 103281

Опубликована: Фев. 6, 2023

Язык: Английский

Процитировано

34

Factors influencing the consumers’ behavioural intention to use online food delivery service: Empirical evidence from Taiwan DOI
Pei‐Hsuan Tsai, Chih‐Jou Chen, Wei‐Hung Hsiao

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 73, С. 103329 - 103329

Опубликована: Март 14, 2023

Язык: Английский

Процитировано

26

Determinants of customer loyalty to online food service delivery: evidence from Indonesia, Taiwan, and New Zealand DOI Creative Commons
Meike Rombach, Ani Kartikasari, David Dean

и другие.

Journal of Hospitality Marketing & Management, Год журнала: 2023, Номер 32(6), С. 818 - 842

Опубликована: Май 16, 2023

This study is dedicated to m-commerce and examines the key factors determining loyalty online food delivery (OFD) services in Indonesia, Taiwan, New Zealand, as these countries have faced varying degrees of pandemic severity. The data analysis using Partial Least Square Structural Equation Modeling (PLS-SEM) shows that quality both e-service, satisfaction, perceived value, trust are significant predictors all countries. Food drives consumer loyalty, contentment, value Indonesia but e-service main determinant Zealand. These differences can be attributed status quo OFD service market three pre-Covid, cultural factors, severity, access other distribution channels. Best practice recommendations for marketing managers associated with presented.

Язык: Английский

Процитировано

23

What factors contribute to in-role and extra-role safety behavior among food delivery riders? DOI
Duy Quy Nguyen-Phuoc,

Nhat Xuan,

Nhi Thao Ho-Mai

и другие.

Transportation Research Part F Traffic Psychology and Behaviour, Год журнала: 2024, Номер 102, С. 177 - 198

Опубликована: Март 6, 2024

Язык: Английский

Процитировано

10

Impact of AI on Customer Experience in Video Streaming Services: A Focus on Personalization and Trust DOI
Saif Ahmed, Norzalita Abd Aziz

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 20

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

9

Factors influencing continuance intention of online shopping of generation Y and Z during the new normal in Vietnam DOI Creative Commons
Bình Nguyễn Thị,

Thi Lan Anh Tran,

Thị Thu Hiền Trần

и другие.

Cogent Business & Management, Год журнала: 2022, Номер 9(1)

Опубликована: Ноя. 11, 2022

This study investigated the determinants of online shopping continuance intention Generation Y and Z during new normal. A conceptual framework, which was an extension Technology Acceptance Model, empirically tested using partial least squares structural equation modelling, multi-group analysis technique, data collected from 847 Gen Y-ers Z-ers in Hanoi, Vietnam March 2022. The results revealed that facilitators repurchase included perceived usefulness, ease use, satisfaction, environmental awareness while risks served as a barrier. Notably, barrier found to affect Y's more severely. Personalization not directly associated with but had strong indirect effects through satisfaction. risk COVID-19 predictor intention. Understanding among consumers different generations emerging country normal may aid enhance quality decision-making. Specifically, platforms sellers should adopt customized marketing programs towards Z. Additionally, user-friendly informative purchasing process personalized features be formulated. Demonstrating green behavior would useful. differs earlier research by considering comparing factors influencing keep developing when is well controlled.

Язык: Английский

Процитировано

35