An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce

Wang, Chenxing; Ahmad, Sayed Fayaz; Ahmad, Ahmad Bani; Awwad, Emad Mahrous; Irshad, Muhammad Imran; Ali, Yasser A.; Al-Razgan, Muna; Khan, Yasser; Han, Heesup

doi:10.1016/j.heliyon.2023.e18349

Cited by 54 publications

(19 citation statements)

References 132 publications

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“…Research results C. Wang et al, (2023) also stated that the use of appropriate technology can provide the usefulness and convenience felt by its users. The existence of this match is able to trigger a positive attitude in individuals in using the application.…”

Section: Effect Of Perceived Ease Of Use On Perceived Usefulnessmentioning

confidence: 95%

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The Role of Perceived Usefulness, Perceived Ease of Use, and Task Technology Fit to Increase Perceived Impact on Learning

Aulia,

Marsasi

2024

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This study aims to explore Task-Technology Fit, Perceived Usefulness, and Perceived Ease of Use on users' Attitudes toward Video Conferencing applications, as well as their impact on Perceived Impact on Learning. Researchers added Task-Technology Fit as an element of novelty and used the Technology Acceptance Model as the main theory used. This research uses a survey method with the participation of 170 respondents who actively use Video Conference applications in various contexts and are of all ages with productive age specifications. The results of the analysis show that there is a significant positive correlation between Task-Technology Fit and Perceived Usefulness, as well as Task-Technology Fit and Perceived Ease of Use. In addition, a significant positive relationship was detected between Perceived Ease of Use and Perceived Usefulness. Furthermore, Perceived Usefulness and Perceived Ease of Use have a positive impact on users' Attitudes toward Video Conferencing applications. Apparently, user Attitude also has a proven positive influence on the Perceived Impact on Learning. Structural Equation Modeling (SEM) was used as the analysis technique conducted using AMOS Graphics 24. The practical implications of these findings involve recommendations for Video Conferencing application developers to improve features and design to enhance user experience. Hopefully, these findings can support the development of video conferencing-based technologies to be more effective and have a positive impact on virtual learning and interaction.

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Section: Effect Of Perceived Ease Of Use On Perceived Usefulnessmentioning

confidence: 95%

“…Research Yao-Ping Peng et al, (2023) aims to be able to explore the behavior and learning attitudes of students when learning English using M-learning. Research C. Wang et al (2023) found the influence of Perceived Ease of Use on Perceived Usefulness.…”

Section: Hypothesis Developmentmentioning

confidence: 99%

The Role of Perceived Usefulness, Perceived Ease of Use, and Task Technology Fit to Increase Perceived Impact on Learning

Aulia,

Marsasi

2024

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“…However, food innovations are usually drawn from new technologies that allow for new methods of development or processing. Thus, although the research object may be consumer goods, studies usually focus on the technology behind new and innovative products such as upcycled foods [ 26 , 27 ], or as in Driediger and Bhatiasevi's [ 23 ] and Wang et al’s [ 28 ] study, on the technology behind the purchasing process in online grocery shopping applications.…”

Section: Theoretical Framework and Hypotheses Developmentmentioning

confidence: 99%

Extending the technology acceptance model and empirically testing the conceptualised consumer goods acceptance model

Förster

2024

Heliyon

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“…The purpose of the study of Go et al (2020) is to examine consumers' acceptance of advanced artificial intelligence (AI) robots and to recommend a framework, interactive technology acceptance model (iTAM), which identifies key factors that formulate consumer attitudes towards advanced robot technology. The study by Wang et al (2023) used the Technology Acceptance model to examine how AI can be an effective tool in e-commerce. The results showed that Subjective Norms positively impact Perceived Usefulness (PU) and Pursued Ease of Use (PEU).…”

Section: Related Workmentioning

confidence: 99%

مدي استعداد المستخدمين لتبني تطبيقات الذكاء الاصطناعي المستخدمة في صناعة السفر والسياحة والضيافة: دراسة تحليلية للمستخدمين المصريين

الروبي

2024

مجلة کلية السياحة والفنادق - جامعة مدينة السادات

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The Travel, Tourism, and Hospitality industry (TTH) has been revolutionized by the emergence of Artificial Intelligence (AI). Key drivers of AI in TTH include enhancing operational efficiency, improving yield, boosting customer experiences, and ensuring sustainable growth in the TTH sector. AI is being used in the travel and tourism sector to provide consumers with personalized recommendations based on past experiences, offer more efficient online booking processes, and employ chatbots for customer service inquiries about tourist attractions and travel tips. Conversational AI systems like Apple's Siri use Natural Language Processing (NLP) to communicate with customers via speech and text. AI is also being widely used in the hospitality industry to help customers through service robots, virtual assistance, smart room technologies, and concierge services. In addition, AI can also be recognized in airports through applications such as face recognition, biometrics, service robots, baggage handling, and geofencing for marketing purposes. Back-office AI applications that support TTH businesses in decision-making include machine and deep learning, neural networks, decision trees, and rule-based systems. These applications can help businesses make informed business decisions based on real-time data analysis.This research relied on the extended TAM (Technology Acceptance Model) model based on the Theory of Reasoned Action to examine the acceptance level and future intentions of Egyptian TTH customers to adopt AI applications. A quantitative approach was adopted wherein an online questionnaire was distributed to examine TTH customers' intentions to adopt AI, where 438 valid responses were received. Furthermore, multiple linear regression analysis was used to find relationships between variables of the TAM model such as perceived ease of use, perceived usefulness, and perceived risk.The results showed, that Egyptian TTH customers perceive AI applications as useful, easy to use, and entertaining. However, some customers were skeptical about some AI technologies regarding the security of data and the lack of human touch in some services that robots took over. Based on the analysis, a significant positive relationship was found between the variables Perceived usefulness and Ease of use and variables of Behavioral Intentions. Nevertheless, no significant relationship was found between the variables of Behavioral Intentions and Perceived Risk.

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An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce

Cited by 54 publications

References 132 publications

The Role of Perceived Usefulness, Perceived Ease of Use, and Task Technology Fit to Increase Perceived Impact on Learning

The Role of Perceived Usefulness, Perceived Ease of Use, and Task Technology Fit to Increase Perceived Impact on Learning

Extending the technology acceptance model and empirically testing the conceptualised consumer goods acceptance model

مدي استعداد المستخدمين لتبني تطبيقات الذكاء الاصطناعي المستخدمة في صناعة السفر والسياحة والضيافة: دراسة تحليلية للمستخدمين المصريين

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