Factors Influencing the Behavioural Intention to Use AI-Generated Images in Business

Journal of Organizational and End User Computing, Год журнала: 2023, Номер 35(1), С. 1 - 32

Опубликована: Сен. 8, 2023

Motivated by the need to better understand ongoing role of artificial intelligence in businesses and shift focus from a purely technological algorithmic perspective one that encompasses human-computer interaction, this article aims investigate people's intention use AI for generating images business context. The present study employed structural equation modelling analyse how factors UTAUT2 such as perceived customer value, effort expectancy, social influence, facilitating conditions affect behavioural intention. research introduces new moderators (creativity English language proficiency), context generative AI. Language proficiency gender impact usage, while expectancy is more pronounced cases low creativity.

Язык: Английский

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A systematic review of intention to use fitness apps (2020–2023)

Humanities and Social Sciences Communications, Год журнала: 2023, Номер 10(1)

Опубликована: Авг. 17, 2023

Abstract Technology advances and digital transformation are constantly growing, resulting in an increase the number of sports-related technologies apps on market, particularly during COVID-19 pandemic. The aim this study is to update a comprehensive evaluation literature published since 2020 desire use embrace fitness physical activity-related apps. Using PERSiST adapted from PRISMA statement, total 29 articles that provide assessment models sports consumers’ desires utilise applications were discovered. Several major conclusions emerge findings: (1) alternative Acceptance Model has increased recent years with new theories not derived model now being associated it; (2) studies Europe increasing as well specifical interest apps; (3) UTAUT UTAUT2 more widely used within sport sector appear connected behaviour intentions; (4) exogenous endogenous variables linked main technology acceptance their behavioral intentions diverse academic literature. These findings could help managers user communication, activity levels participation centres, modify policies services organisations.

Язык: Английский

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Influence of Disease-Related Stigma on Patients’ Decisions to Upload Medical Reports to the German Electronic Health Record: Randomized Controlled Trial

JMIR Human Factors, Год журнала: 2024, Номер 11, С. e52625 - e52625

Опубликована: Фев. 22, 2024

Background The rollout of the electronic health record (EHR) represents a central component digital transformation German care system. Although EHR promises more effective, safer, and faster treatment patients from systems perspective, successful implementation largely depends on patient. In recent survey, 3 out 4 Germans stated that they intend to use EHR, whereas other studies show intention technology is not reliable sufficient predictor actual use. Objective Controlling for patients’ we investigated whether disease-specific risk perceptions related time course disease disease-related stigma explain additional variance in decisions upload medical reports EHR. Methods an online user study, 241 participants were asked interact with randomly assigned report varied systematically terms (high vs low) (acute chronic) decide it Results Disease-related (odds ratio 0.154, P<.001) offset generally positive relationship between decision 2.628, P<.001), showed no effect. Conclusions Even if such as those diseases associated social may deter people uploading To ensure this key digitalized system, transparent easy-to-comprehend information about safety standards are warranted across board, even populations favor using

Язык: Английский

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Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience

British Food Journal, Год журнала: 2024, Номер 126(6), С. 2416 - 2437

Опубликована: Март 29, 2024

Purpose The purpose of this study is to investigate the determinants behavioral intention use smartphone diet applications within emerging market. Specifically, it focuses on Privacy Calculus Model constructs, encompassing perceived risk and benefit, as well pivotal elements trust self-efficacy. It also explores moderating influence experience influencing factors a application. Design/methodology/approach In survey with 572 respondents, data analysis was conducted using partial least squares (PLS) structural equation modeling. Findings findings reveal that exerts significant negative intention. Conversely, self-efficacy exhibit positive impact Moreover, delves into role users' experience, which found significantly these relationships, suggesting user plays in shaping adoption dynamics applications. Research limitations/implications limitations may include sample size specific focus market Saudi Arabia. implications are relevant for scholars, developers, marketers, policymakers seeking promote Originality/value This adds value by exploring context applications, first attempt test experiences, providing valuable insights various stakeholders field.

Язык: Английский

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Money at my Fingertips: Decoding the Role of Referent Network Size and Financial Knowledge in Reinforcing Continuance Intention of m-Payment Services

Journal of Organizational Computing and Electronic Commerce, Год журнала: 2024, Номер unknown, С. 1 - 32

Опубликована: Июнь 16, 2024

Service providers are ardent about promoting mobile payment (M-payment) technologies that enhance customer experience and foster a favorable attitude toward M-payments. Considering this, our study investigates the continuance intention of M-payment services, encouraging users to utilize M-payments in their everyday financial transactions. Our research used structural equation modeling (SEM) expand horizons unified theory acceptance use technology 2 (UTAUT2) traditional behavioral model (TBIM) The survey examined 620 continue using services. Mediation moderation techniques explored models' direct indirect relationships. results show users' is amplified by quality service, knowledge, perceived enjoyment, referent network size, further escalating Customers' attitudes services partially mediate relationship between underlying constructs. Moreover, responsiveness strengthens link, whereas technological uncertainty weakens association user continuous intention. could be useful for various stakeholders, including service providers, retail managers, customers, marketing companies, policymakers, enhancing India's digital infrastructure.

Язык: Английский

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Understanding Users’ Continuance Usage Behavior Towards Digital Health Information System Driven by the Digital Revolution Under COVID-19 Context: An Extended UTAUT Model

Psychology Research and Behavior Management, Год журнала: 2022, Номер Volume 15, С. 2831 - 2842

Опубликована: Сен. 1, 2022

Background: Improving the health status of users through use digital information systems has drawn attention practitioners and academics under tide revolution, specifically in time global pandemic COVID-19, as a result, online medical consultation developed rapidly. Purpose: Empirical studies, however, are lacking terms gaining insight into system driven by revolution COVID-19 identifying factors for retaining encouraging their continuing use. To solve this problem, study seeks to explore that influence users’ intention system. Methods: This extended Unified Theory Acceptance Use Technology (UTAUT) model introducing components perceived risks model. Structural equation modeling was adopted evaluate research based on an empirical survey 241 China. Results: As indicated results, continuance usage behavior is shaped facilitating conditions, with effort expectancy, social influence, ease enjoyment exerting indirect positive effects via In contrast, risk cost have negative impact behavior. Conclusion: The findings can not only help better understand towards further tap potential market but also make up short traditional technology acceptance explanatory UTAUT Keywords: system, medical, behavior,

Язык: Английский

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Trust and Health Information Exchanges: Qualitative Analysis of the Intent to Share Personal Health Information

Journal of Medical Internet Research, Год журнала: 2023, Номер 25, С. e41635 - e41635

Опубликована: Авг. 30, 2023

Digital health has the potential to improve quality of care, reduce care costs, and increase patient satisfaction. Patient acceptance consent are a prerequisite for effective sharing personal information (PHI) through exchanges (HIEs). Patients need form retain trust in system(s) they use leverage full digital health. Germany is at forefront approving treatment options with cost coverage statutory insurance. However, German population high level technology skepticism low trust, providing good basis illuminate various facets eHealth formation.In setting, we aimed answer question, How does an individual behavioral intent share PHI HIE platform? We discussed informed (1) synthesizing main influence factor models into complex model HIE, (2) initial validation factors based on qualitative study interviews, (3) developing formation apps.We developed PHI. provided 20 qualitative, semistructured interviews setting used deductive coding approach analyze data.We found that patients show positive their HIEs under certain conditions. These include (perceived) security noncommercial organization as recipient Technology experience, age, policy regulation, disposition play important role individual's privacy concern, which, combined social influence, affects cognitive emotional level. research institutions but distrust commercial entities. further in-person interactions physicians apps sharing. Patients' depends influences. To share, undergo calculus. Hereby, benefit (eg, convenience), benefits own health, public welfare often outweigh perceived risks PHI.With higher demand timely PHI, providers will clearly communicate solutions measures (physicians, nursing administrative staff) them key partners trust. Offering easy access educational well option specific may patients' intention

Язык: Английский

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Comparing and modeling the use of online recommender systems

Computers in Human Behavior Reports, Год журнала: 2024, Номер 15, С. 100449 - 100449

Опубликована: Июль 6, 2024

This study explores a new way to model the adoption of AI, specifically online recommender systems. It aims find factors that can explain variation in usage terms differences between individuals and over technologies. We analyzed survey data from users platforms U.S. using two-level structural equation (SEM) (N = 1007). In this model, dependent variable was rate, which defined as share time person used particular system (e.g., "People You May Know") when they use platform Facebook). The individual responses (within-systems level) were clustered 26 systems (between-systems level). hypothesized three technology-specific factors, adapted Diffusion Innovations (DOI) theory Unified Theory Acceptance Use Technology 2 (UTAUT2), could variations at both levels: perceived performance expectancy (PE), effort (EE), hedonic motivation (HM). Our estimated showed associated with PE HM within-system level only between-system level. A considerable part across be explained by (R2 0.30). most important contribution practitioners is provides evidence for idea there are inherent, measurable technologies affect their rates, it finds usefulness key factor. potentially valuable app developers marketeers who look promote novel main literature presents proof-of-concept AI adoption, conceptualizing an effect applications. finding policymakers, better predictive models might enable improved assessments AI's social implications. future studies, approach presented here applied other forms such voice assistants, chatbots, or Internet Things (IoT).

Язык: Английский

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A systematic review of consumers’ and healthcare professionals’ trust in digital healthcare

npj Digital Medicine, Год журнала: 2025, Номер 8(1)

Опубликована: Фев. 21, 2025

Despite the well-documented importance of trust in digital healthcare, its domains are not well-understood, preventing theoretically robust instruments for standardised measurements. We identified measuring explored definitions, associated factors, and outcomes. systematically reviewed literature using tailored searches 49 studies healthcare from either consumers', professionals', or both perspectives were included. Trust is complex and, a consumers' perspective, can influence use, adoption, acceptance, usefulness. Consumers' be affected by degree human interaction automated interventions, perceived risks, privacy concerns, data accuracy, literacy, quality intervention, satisfaction, education, income. Healthcare professionals' enhanced education observing good health performance. While benefit rigorous measurements, future efforts should address need theoretical framework healthcare.

Язык: Английский

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Understanding mHealth adoption among older adults: a novel NCA-fsQCA analysis

Journal of Health Organization and Management, Год журнала: 2025, Номер unknown

Опубликована: Апрель 7, 2025

Purpose This study aims to investigate the complex pathways mHealth adoption among older adults through an innovative methodological integration of necessary condition analysis (NCA) and fuzzy-set qualitative comparative (fsQCA), addressing critical gaps in understanding technology acceptance ageing populations. Design/methodology/approach Data were collected from 290 a structured questionnaire measuring six key factors: perceived usefulness, ease use, subjective norms, privacy security, social interaction capability personalisation. The employed sequential mixed-methods design, integrating NCA identify conditions fsQCA uncover sufficient configurations leading high intention. Findings revealed four distinct intention, demonstrating equifinality acceptance. Perceived usefulness emerged as most (effect size = 0.312), while different combinations factors provided alternative successful adoption. results demonstrate significant variations between urban suburban participants, particularly emphasising personalisation features. Originality/value advances theoretical by capturing complex, configurational challenging traditional linear models. combination provides sophisticated framework for adults, offering valuable insights developing inclusive digital health solutions

Язык: Английский

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