ArticleHeliyon2023
An empirical evaluation of technology acceptance model for Artificial Intelligence in E-commerce.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 209 citations in OpenAlex.
- Cross-cultural determinants of AI acceptance in medical education among medical students in China and Pakistan.BMC medical education · 2026Article
- How social influence and innovativeness shape technology perceptions and usage intentions: a TAM extension.BMC psychology · 2026Article
- University students' acceptance of generative artificial intelligence tools: a mixed-methods study on opinions, attitudes, and behavioral intentions.BMC psychology · 2026Article
- Generative artificial intelligence heuristic cues, trust and continuous intention of CBeC platform and the moderating role of information overload.Scientific reports · 2026Article
- Use of artificial intelligence in Ecuadorian companies.Frontiers in artificial intelligence · 2026Article
- Contextualizing the privacy paradox-a risk-benefit analysis of generation z's adoption intentions toward AI-based virtual try-on.Frontiers in psychology · 2026Article
- Does cultural identity catalyze behavior? A TAM-based study on museum cultural creative products consumption in China.PloS one · 2026Article
- The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students' behavioural intention to use ChatGPT.Scientific reports · 2025Article
- The Sri Lankan enigma: demystifying public healthcare information systems acceptance.BMC health services research · 2025Article
- Exploring the determinants of AIGC usage intention based on the extended AIDUA model: a multi-group structural equation modeling analysis.Frontiers in psychology · 2025Article
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- The Effect of Virtual Laboratories on the Academic Achievement of Undergraduate Chemistry Students: Quasi-Experimental Study.JMIR formative research · 2024Article
- Analyzing trends: A bibliometric study of administrative law and forensic accounting in the digital age.Heliyon · 2024Review
- AI Meets the Shopper: Psychosocial Factors in Ease of Use and Their Effect on E-Commerce Purchase Intention.Behavioral sciences (Basel, Switzerland) · 2024Article
- Examining customer intentions to purchase intelligent robotic products and services in Taiwan using the theory of planned behaviour.BMC psychology · 2024Article
- Article
- Purchasing in the digital age: A meta-analytical perspective on trust, risk, security, and e-WOM in e-commerce.Heliyon · 2024Article
- Extending the technology acceptance model and empirically testing the conceptualised consumer goods acceptance model.Heliyon · 2024Article
- Article
- Article
Corrections and comments
- Retraction · 2025-09-12Concerns/Issues about Authorship/Affiliation · Investigation by Journal/Publisher · Objections by Author(s) · Unreliable Results and/or Conclusions · · See also: https://pubpeer.com/publications/896B7958977ED750A0C651539816EB
- Retracted
Authors and funding
9 authors at 5 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial Intelligence (AI) has become essential to Electronic-Commerce technology over the past decades. Its fast growth has changed the way consumers do online shopping. Using the Technology Acceptance Model (TAM) as a theoretical framework, this research examines how AI can be made more effective and profitable in e-commerce and how entrepreneurs can make AI technology to assist in achieving their business goals. In this regard, an online survey was conducted from the online purchasers of e-commerce firms. The Partial Least Square (PLS) Smart was used to examine the data. The broadly used TAM was identified as an appropriate hypothetical model for studying the acceptance of AI technology in e-commerce. The findings of this study show that Subjective Norms positively impact Perceived Usefulness (PU) and Pursued Ease of Use (PEU), trust has a positive effect on PEU, and PEU positively impacts PU and attitudes toward use. Similarly, PU also has a positive effect on attitudes toward use and intention to use. Furthermore, the findings do not support the impact of Trust on PU and attitudes towards behavioural intention to use. Lastly, behavioural intention to use positively impacted the actual use of AI technology. This study adds theoretical and practical knowledge for adopting the TAM model in the E-commerce sector. It helps entrepreneurs to implement the TAM model in their business to use AI in a better and more appropriate way.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.