Role of perceived ease of use, usefulness, and financial strength on the adoption of health information systems: the moderating role of hospital size

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: April 15, 2024

Abstract Adoption of a health information system is always challenge for hospitals. It because most the medical staff do not have enough skills to use new technology and due sensitivity data. These factors pose successful adoption in The aim this research find out which influence systems study investigated impact Financial status Hospital; Perceived Usefulness Ease Use on through questionnaire survey. Data was collected from 602 healthcare workers 20 hospitals close-ended Pakistan, where very slow. PLS-SEM used analysis. findings show that positive significant role Health Information Systems. finding also shows hospital size moderates relationship ease interestingly it does moderate among perceived usefulness financial strength toward systems. concludes use, are main factors, necessary useful implications policy makers, professionals successfully adopt provides avenues researchers explore other test framework countries.

Language: Английский

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Acceptance of Educational Use of AI Chatbots in the Context of Self-Directed Learning with Technology and ICT Self-Efficacy of Undergraduate Students

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 22, 2024

For long now, the use of Artificial Intelligence (AI) chatbots in higher education to support and engage learners classroom learning activities has been attracting attention researchers. The acceptance this technology for purposes is indicative learners' intentions actual future. Hence, study aims test educational AI context self-directed with (SDLT) along information communication (ICT) self-efficacy, using extended Technology Acceptance Model (TAM). involved 414 undergraduate students, research model was tested by utilizing Partial Least Square Structural Equation (PLS-SEM). results indicate that ICT self-efficacy affects only perceived ease (PEU), whereas PEU usefulness have a positive effect on intention chatbots. Moreover, SDLT shown affect both As such, it suggested – among other notes universities update their curricula SDLT, also organize order increase students.

Language: Английский

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Factors Determining the Acceptance of E-Wallet among Gen Z from the Lens of the Extended Technology Acceptance Model

Sustainability, Journal Year: 2023, Volume and Issue: 15(7), P. 5752 - 5752

Published: March 25, 2023

E-wallets are one of the breakthroughs brought forth by evolution FinTech, which has been accentuated global outbreak COVID-19. Therefore, it is critical to comprehend factor e-wallet acceptance. As this technology advances, substantial knowledge and research gaps become apparent. Previous studies on acceptance have overlooked importance motivation self-efficacy. There a dearth focus certain age groups, such as Gen Z, currently trendsetter new technologies. This study aims close regarding lack toward motivation, self-efficacy in understanding combining Technology Acceptance Model (TAM) with Self-Determination Theory (SDT), Self-Efficacy (SE), Digital Media (DMSE) fully understand factors influencing among using 233 samples test 16 hypotheses derived from identified gaps. External Regulation (ER), SE, DMSE determinants acceptance, according Structural Equation analysis conducted. Mediation reveals that Attitude Use (AT) full mediator Perceived Usefulness (PU) Ease (PEU). The quintessential outcome E-Wallet significant for FinTech industries looking strategically roll out initiatives well point exploration numerous future academic development.

Language: Английский

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Artificial Intelligence in Higher Education: A Cross-Cultural Examination of Students’ Behavioral Intentions and Attitudes

The International Review of Research in Open and Distributed Learning, Journal Year: 2024, Volume and Issue: 25(3), P. 134 - 157

Published: Aug. 26, 2024

Artificial intelligence (AI) has undergone considerable advancement in the contemporary period and represents an emerging technology higher education. Cultural contexts significantly shape individuals’ perceptions, attitudes, behaviors, particularly realm of acceptance. By adopting a cross-cultural lens, this research explores potential variations across Chinese international students from diverse countries terms attitudes their behavioral intentions toward AI use. With acceptance model (TAM) framework, used survey approach, employing questionnaires as primary means data collection. The were then analyzed through structural equation modeling descriptive statistics. A substantial discrepancy was found prevalence, use between students. Findings further revealed stronger effect perceived ease on both among compared with counterparts. suggest that cultural backgrounds prior technological exposure play intricate roles shaping perceptions technology. study emphasizes need for tailored educational strategies to regulate perspectives, provide language-specific support, ensure user-friendly interfaces. These insights contribute evolving discourse education offer practical implications educators institutions optimizing integration pedagogical practices.

Language: Английский

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Development and validation of the eHealth Literacy and Use Scale (eHLUS) to measure medical app literacy

Public Health, Journal Year: 2025, Volume and Issue: 240, P. 27 - 32

Published: Jan. 23, 2025

Language: Английский

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Antecedents of trust and customer loyalty in online shopping: The moderating effects of online shopping experience and e-shopping spending

Heliyon, Journal Year: 2023, Volume and Issue: 9(5), P. e16182 - e16182

Published: May 1, 2023

This paper determines the antecedents of trust (i.e., perceived ease use [PEoU], privacy concerns [PC], security [PS], product variety [PV], and on-time delivery [OD]) customer loyalty (CL) in online retailing. A questionnaire was developed using scales validated prior e-commerce studies to measure these factors conceptual model. Data were collected an survey from a non-probability judgement sample shoppers between ages 18 65 years old, who provided informed consent for participation survey. analysed via structural equation modeling (SEM) on AMOS version 28. The ethical approval certificate issued by College Business Economics Research Ethics Committee (CBEREC). results indicate that (CT) shopping relies OD, PS, PV, PEoU, but not PC. CT, followed OD significantly impacts CL. show mediates relationship Online experience e-shopping spending moderate impact PV trust. CL is moderated experience. validates scientific approach coexisting effects key forces e-retailer practitioners can gain build this valuable knowledge absent literature, as measured disjointedly studies. study offers originality validating retailing South Africa.

Language: Английский

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The Mediating Role of Parasocial Relationship in Customer Services Chatbots Among Millennials and Gen Z Population

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Feb. 2, 2024

In the fast-evolving landscape of human–computer interaction (HCI), customer service chatbots have emerged as a new way for engaging with users. However, critical challenge lies in ensuring continued usage these chatbot's services. This study argues that by tapping into emotional dimension chatbot–user interactions, Parasocial Relationships (PSRs) can influence customers' continuance intention (CI) to use chatbot The findings from PLS-SEM shed light on significance Information Quality and System fostering PSRs. further identifies PSR significant mediator between Service Continuous use. research primarily examines Millennials Gen Z. Future studies may explore consumers different age groups. implications this are crucial advancing field chatbot–human interaction. Organizations benefit insights prioritizing personalized empathetic experiences nurture stronger PSRs promote user satisfaction, trust, continue using

Language: Английский

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Integrating technology acceptance model and value-based adoption model to determine consumers’ perception of value and intention to adopt AR in online shopping

Asia Pacific Journal of Marketing and Logistics, Journal Year: 2024, Volume and Issue: 37(1), P. 1 - 19

Published: July 12, 2024

Purpose This study is among the first to integrate technology acceptance model (TAM) and value-based adoption (VAM) in context of augmented reality (AR) shopping. It assesses how consumers' rational emotional factors influence their intention use AR online shopping via perceived value consumer engagement. Design/methodology/approach uses a quantitative research approach employs standardized survey questionnaire distributed on social media platforms recruit Gen Z members who are potential buyers or users technology. SmartPLS 4.0 was used test responses 204 respondents. Findings The results indicate that consumers perceive higher inclined future when easy use, useful, personalized, innovative provides highly engaging experience. Interestingly, sacrifice did not value. confirms integrating TAM VAM instrumental capturing value, which turn influences engagement Originality/value further extends conceptualization by combining components derived from VAM, thus leading sturdy theoretically grounded framework. In addition, this contributes literature extended reality, namely shopping, helps brand managers manage evolving experience for Z.

Language: Английский

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Development, piloting and evaluation of an app-supported psychosocial prevention intervention to strengthen participation in working life: a study protocol of a mixed-methods approach

BMJ Open, Journal Year: 2024, Volume and Issue: 14(2), P. e081390 - e081390

Published: Feb. 1, 2024

Rates of incapacity to work due mental disorders have increased in many European countries. The consequences persistent stress can impact individuals' physical and psychological well-being gradually develop into chronic stress. Mental or symptoms burn-out syndrome severe consequences. leading significantly burden the health system. Prevention interventions protect against burn-out, depression, anxiety other disorders. Digital is a promising approach increase utilisation effective prevention interventions. This mixed-methods study evaluates newly developed app-supported psychosocial intervention called 'RV Fit Health' strengthen participation working life. uses three-stage parallel design. accompanies development (stage 1), piloting 2) evaluation 3) new intervention. Within stages, there quantitative as well qualitative research strand. Employed persons with an incipient disorder will be included. Additionally, experts within project connected areas Quantitative data analysed using multifactorial variance analyses pre-post Qualitative content analysis. comprehensive investigate development, app-based rigour achieved through triangulation. All participants receive detailed information give written informed consent before collection. Ethical approval was obtained from Technical University Munich Ethics Committee. collection follow all legislative rules regarding protection, also following Declaration Helsinki. results disseminated peer-reviewed journals presented at international conferences. DRKS00030818 DRKS00033080.

Language: Английский

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The Influence of AI Chatbots in Fintech Services on Customer Loyalty within the Banking Industry

Future of Business Administration, Journal Year: 2024, Volume and Issue: 3(1), P. 16 - 28

Published: June 24, 2024

The convergence of Artificial Intelligence (AI) and FinTech services has brought about a transformative impact on customer engagement in institutions. AI-powered chatbots have emerged as indispensable tools for enhancing experiences within the banking sector. In this era digital transformation, financial institutions recognized vital importance exceptional service quality utilization attracting retaining customers. Consequently, there is growing interest comprehending role chatbot shaping loyalty. This study adopts an empirical descriptive approach, employing quantitative research method. Data were obtained from 729 respondents through online survey judgemental nonprobability sampling. gathered data analysed using Smart PLS- Structural Equation Model (SEM). delineates attributes AI identifies their significant influence loyalty, taking into account mediating satisfaction. findings contribute to understanding relationship between chatbots, satisfaction, validates significance enhances effectiveness, explores unique characteristics interactions, demonstrates how technology-driven can be integrated loyalty models. Moreover, offers practical implications that guide businesses optimizing strategies. By prioritizing enhancement performance, personalizing integrating across channels, monitoring satisfaction metrics, organizations elevate cultivate achieve positive business outcomes.

Language: Английский

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