Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection

Technology in Society, Journal Year: 2022, Volume and Issue: 70, P. 102011 - 102011

Published: June 9, 2022

Language: Английский

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Factors Influencing the Decision to Utilize eTax Systems During the COVID-19 Pandemic

International Journal of Electronic Government Research, Journal Year: 2022, Volume and Issue: 18(1), P. 1 - 24

Published: Nov. 11, 2022

This study examines the usage of eTax systems using unified theory acceptance and use technology (UTAUT) as a theoretical base. A quantitative methodology partial least squares-structural equation modelling (PLS-SEM) was used to test model against data collected from 209 taxpayers who completed research questionnaire. The outcomes this manifest necessary extension UTAUT practical contributions during pandemic COVID-19. findings reveal that behavioral intention is highly influenced by performance expectancy, effort social influence, isolation, anxiety about technology. Similarly, COVID-19 infection demonstrate substantial association with actual systems. Interestingly, study's also show moderates bounded

Language: Английский

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Adoption of AI-driven personalization in digital news platforms: An integrative model of technology acceptance and perceived contingency

Technology in Society, Journal Year: 2022, Volume and Issue: 69, P. 101965 - 101965

Published: March 26, 2022

Language: Английский

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Integrating Teachers’ TPACK Levels and Students’ Learning Motivation, Technology Innovativeness, and Optimism in an IoT Acceptance Model

Electronics, Journal Year: 2022, Volume and Issue: 11(19), P. 3197 - 3197

Published: Oct. 5, 2022

The growing use of the Internet Things (IoT) around world has encouraged researchers to investigate how and why IoT is implemented in colleges universities. Previous studies have focused on individual attitudes rather than integration from two different perspectives. Furthermore, other investigated non-educational settings, ignoring effect related technology acceptance model (TAM) technological pedagogical content knowledge (TPACK) model. present work aims address this research gap by determining main factors that influence IoT, leading increased awareness collaborative learning, where forms core tool enhancing IoT. A questionnaire was used collect data teachers students universities Oman United Arab Emirates (UAE). were analyzed through structural equation modeling (SEM) method. findings indicated there are levels positive effects intention first level features, which represented optimism innovation; these crucial using second learning motivation, a close relationship with teachers’ knowledge, pedagogy, significant familiarity tools applications. TAM constructs direct impact practical managerial implications show teachers, educators, can obtain benefits results help features suit users’ needs.

Language: Английский

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The influence of e-satisfaction on users' e-loyalty toward e-wallet payment apps: a mediated-moderated model

International Journal of Emerging Markets, Journal Year: 2023, Volume and Issue: unknown

Published: Oct. 19, 2023

Purpose The purpose of this study is to investigate the antecedent factors influencing e-loyalty toward e-wallet payment apps in developing countries (e.g. Jordan). This also investigates mediating role perceived usefulness (PU) and moderating electronic word mouth (e-WOM) these apps. Design/methodology/approach An online questionnaire was used for data collection from 251 actual users To estimate test research-proposed model, partial least squares structural equation modeling (PLS-SEM) employed. Findings results mainly confirm that trust (PT), financial cost (PFC) ease use were found be determinants PU; security (PS), PT, PFC, enjoyment (PE) e-satisfaction, whereas e-satisfaction e-WOM Likewise, support significant effect e-WOM. Conversely, direct indirect impact PU health benefits (PHB) on not supported; therefore, hypotheses H4, H5 H9 rejected. Originality/value contributes understanding critical success underlying during post-COVID-19 era, which can help policymakers banks other institutions (service providers) increase diffusion rate inclusion by usage

Language: Английский

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Factors affecting performance expectancy and intentions to use ChatGPT: Using SmartPLS to advance an information technology acceptance framework

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123247 - 123247

Published: Feb. 6, 2024

Few studies have explored the use of artificial intelligence-enabled (AI-enabled) large language models (LLMs). This research addresses this knowledge gap. It investigates perceptions and intentional behaviors to utilize AI dialogue systems like Chat Generative Pre-Trained Transformer (ChatGPT). A survey questionnaire comprising measures from key information technology adoption models, was used capture quantitative data a sample 654 respondents. partial least squares (PLS) approach assesses constructs' reliabilities validities. also identifies relative strength significance causal paths in proposed model. The findings SmartPLS4 report that there are highly significant effects empirical investigation particularly between source trustworthiness performance expectancy chatbots, as well perceived interactivity intentions algorithm, among others. In conclusion, contribution puts forward robust acceptance framework clearly evidences factors entice online users habitually engage with text-generating chatbot technologies. implies although they may be considered useful interactive for content creators, is scope continue improving quality their responses (in terms accuracy timeliness) reduce misinformation, social biases, hallucinations adversarial prompts.

Language: Английский

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Adoption of blended learning: Chinese university students’ perspectives

Humanities and Social Sciences Communications, Journal Year: 2023, Volume and Issue: 10(1)

Published: July 8, 2023

Abstract Against the backdrop of deep integration Internet with learning, blended learning offers advantages combining online and face-to-face to enrich experience improve knowledge management. Therefore, objective this present study is twofold: a. fill a gap in literature regarding adoption post-pandemic era roles both technology acceptance model (TAM) theory planned behavior (TPB) context b. investigate factors influencing behavioral intention adopt learning. For that purpose, research formulates six hypotheses, incorporates them into proposed conceptual model, validates using model-fit indices. Based on data collected from Chinese university students, predicted model’s reliability validity are evaluated structural equation modeling (SEM). The results SEM show (a) integrated based TAM TPB can explain 67.6% variance students’ learning; (b) perceived usefulness (PU), ease use (PEU), subjective norms (SN) all have positive impacts attitudes (LA); (c) PEU has influence PU, SN control (PBC); (d) PU LA (IABL). However, PEU, SN, PBC little effect IABL; e. mediates IABL, IABL. This demonstrated an framework as well characteristics effective way understand

Language: Английский

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So What About the Post-COVID-19 Era?: Do Users Still Adopt FinTech Products?

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 15

Published: Feb. 7, 2024

During the coronavirus 2019 (COVID-19) pandemic, many countries worldwide were encouraged to use FinTech products and warned people not cash fight against spread of coronavirus. Despite immense encouragement for citizens conduct financial transactions by using services as an alternative traditional banking reduce cases physical interaction between individuals institutions, level adoption these is still below expectations in some even post-COVID-19 pandemic era, case Jordan. Therefore, main purpose current study explore antecedent factors that directly influence usage, which turn affects continuance intention era integrating Protection Motivation Theory (PMT) Technology Acceptance Model (TAM) with other much-related factors. To achieve above-mentioned purpose, a quantitative research method online questionnaire was used collect analyse data gathered from 361 users products. Finally, results revealed most proposed hypotheses accepted except hypothesis 4 rejected. Nonetheless, perceived susceptibility COVID-19 found be important factor contributing usage era.

Language: Английский

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Unlocking the potential of AI: Enhancing consumer engagement in the beauty and cosmetic product purchases

Journal of Retailing and Consumer Services, Journal Year: 2024, Volume and Issue: 79, P. 103842 - 103842

Published: April 5, 2024

Language: Английский

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Managing the effects of drought through the use of risk reduction strategy in the agricultural sector of Iran

Climate Risk Management, Journal Year: 2024, Volume and Issue: 45, P. 100619 - 100619

Published: Jan. 1, 2024

Drought is one of the most significant and complex climate risks, with profound effects on reducing agricultural production exacerbating poverty food insecurity worldwide in absence effective mitigation measures. Climate assessments indicate that drought will affect majority world regions future, agricultural-dependent communities bearing brunt its impacts. Therefore, managing measures to mitigate crucial this regard. This research aims (1) examine adoption status adaptation strategies (2) identify influential factors affecting Iran. The study population consisted all rural households Kerman Province (southeastern Iran). In order accurately select studied samples, calculation severity was done based Standardized Precipitation Index (SPI). research, an extended version Technology Acceptance Model (TAM), incorporating new variables including trust, self-efficacy, social influence, facilitating conditions, perceived risk, resistance use, performance expectancy, utilized as theoretical framework. Data analysis conducted using Structural Equation Modeling (SEM). results revealed farmers under conditions were categorized into five classes: Social activities (SA), Physical infrastructure management (PIM), Financial (FIM), Farm (FM), Irrigation water (IWM), Crop (CM). Furthermore, SEM indicated hypothesized relationships context significant, explained 58% variance adaptive behaviors. Lastly, considering trust had effect measures, policymakers field are recommended increase farmers' these by conducting thorough needs identifying strategies. Moreover, organizing appropriate workshops training courses can enhance awareness understanding for mitigating impacts drought.

Language: Английский

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