Factors Affecting the Use of ChatGPT for Obtaining Shopping Information DOI Open Access
Behzad Foroughi,

Mohammad Hossein Iranmanesh,

Elaheh Yadegaridehkordi

et al.

International Journal of Consumer Studies, Journal Year: 2024, Volume and Issue: 49(1)

Published: Dec. 13, 2024

ABSTRACT ChatGPT transforms the shopping experience by providing responses in human‐like language about products, services, and brands to customers. This study investigated influential drivers of intention use obtain information. We extended “extended unified theory acceptance technology” UTAUT2 incorporating direct moderating effects trust technology anxiety. To test model on data from 412 respondents, a hybrid Partial Least Squares—Artificial Neural Network (PLS‐ANN) approach was employed. combines strengths PLS for modeling complex variable relationships ANN capturing nonlinear dependencies interactions. analysis identified performance expectancy, effort facilitating conditions, hedonic motivation, as significant usage. The associations between its predictors are negatively moderated revealed that has highest effect choice ChatGPT, followed expectancy. By extending framework applying PLS‐ANN method, this advances theoretical understanding adoption provides practical insights marketers developers AI‐driven text generators. It emphasizes importance building alleviating anxiety promote wider ChatGPT. broader significance research lies contribution shaping future retail e‐commerce strategies encouraging more informed user‐centric development AI technologies domain.

Language: Английский

Determinants of Generative AI in Promoting Green Purchasing Behavior: A Hybrid Partial Least Squares–Artificial Neural Network Approach DOI Open Access
Behzad Foroughi, Bita Naghmeh‐Abbaspour, Jun Wen

et al.

Business Strategy and the Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

ABSTRACT In the era of rapid technological advancement, generative artificial intelligence (AI) has emerged as a transformative force in various sectors, including environmental sustainability. This research investigates factors and consequences using AI to access information influence green purchasing behavior. It integrates theories such adoption model, value–belief–norm theory, elaboration likelihood cognitive dissonance theory pinpoint prioritize determinants usage for Data from 467 participants were analyzed hybrid methodology that blends partial least squares (PLS) with neural networks (ANN). The PLS outcomes indicate interactivity, responsiveness, knowledge acquisition application, concern, ascription responsibility are key predictors use information. Furthermore, concerns, values, personal norms, responsibility, individual impact, emerge ANN analysis offers unique perspective discloses variations hierarchy these predictors. provides valuable insights stakeholders on harnessing promote sustainable consumer behaviors

Language: Английский

Citations

2
Necessary Configuration Analysis (NConfA): a new multivariate approach DOI Creative Commons
S. Mostafa Rasoolimanesh,

Hesam Olya

Service Industries Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 10

Published: Jan. 29, 2025

Language: Английский

Citations

0
Examining generative AI user continuance intention based on the SOR model DOI
Tao Zhou,

Xinjie Ma

Aslib Journal of Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Purpose The purpose of this research is to examine generative artificial intelligence (AI) user continuance intention based on the stimulus-organism-response model. Design/methodology/approach We adopted a mixed method structural equation modeling and fuzzy-set qualitative comparative analysis conduct data analysis. Findings results found that AI content quality (perceived personalization, perceived accuracy credibility) system interactivity, anthropomorphism intelligence) affect sense empowerment satisfaction, both which further determine intention. Originality/value Extant has identified effect flow, trust parasocial interaction continuance, but it seldom disclosed internal decisional process This tries fill gap, enrich extant continuance.

Language: Английский

Citations

0
Recipes for consumer loyalty intentions toward AI speakers: A complexity theory approach DOI Creative Commons
Sooyun Kim,

M. T. Ko,

Luri Lee

et al.

Service Business, Journal Year: 2025, Volume and Issue: 19(2)

Published: March 20, 2025

Language: Английский

Citations

0
Sustained use of generative AI for shopping: a PLS-ANN analysis DOI
Behzad Foroughi, Morteza Ghobakhloo, Jun Wen

et al.

Service Industries Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34

Published: April 3, 2025

Language: Английский

Citations

0
Unveiling Psychosocial Factors Influencing Metaverse-Associated App Adoption: Acumens from fsQCA Approach DOI
Jingbo Yuan, Sayed Kifayat Shah, Kayhan Tajeddini

et al.

International Journal of Human-Computer Interaction, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 15

Published: April 3, 2025

Language: Английский

Citations

0
Do Ethical Issues Influence the Interest of Young People in Using Artificial Intelligence? An Integrated Application of Qualitative Comparative Analysis DOI Creative Commons
Cayetano Medina Molina, Noemí Pérez-Macías,

Sierra Rey-Tienda

et al.

Sustainable Technology and Entrepreneurship, Journal Year: 2025, Volume and Issue: unknown, P. 100108 - 100108

Published: March 1, 2025

Language: Английский

Citations

0
Determinants of ChatGPT adoption among students in higher education: the moderating effect of trust DOI
Behzad Foroughi, Mohammad Iranmanesh, Morteza Ghobakhloo

et al.

The Electronic Library, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 11, 2024

Purpose ChatGPT is a cutting-edge chatbot powered by artificial intelligence that could revolutionise and advance the teaching learning process. Drawing on technology acceptance model (TAM) information system (IS) success model, this study aims to investigate determinants of students’ intention use for education purposes. Design/methodology/approach The partial least squares technique was used analyse 406 usable data collected from university students in Malaysia. Findings results confirmed relationships between perceived usefulness (PU), ease (PEU), attitude proposed TAM. PU PEU are influenced quality. Surprisingly, trust moderates negatively influences attitude. Practical implications findings provide insight higher institutions, unit instructors developers what may promote education. Originality/value contributes literature exploring adoption, extending TAM incorporating IS factors assessing moderating effect information.

Language: Английский

Citations

3
The impact of ChatGPT’s competencies on users’ intention to use DOI
Peiyu Zhou, Changyong Liang, Yuguang Xie

et al.

Service Industries Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 30

Published: Oct. 16, 2024

Driven by ChatGPT's popularity, generative conversational artificial intelligence (GCAI) has captured global interest. Despite its widespread adoption, the competencies of GCAI and their influence on users' intention to use it remain underexplored. This study examines effect GCAI. Using a mixed-methods approach, we analyze social media comments identify four key competencies. Based naturalness theory, trust literature, stimulus-organism-response model, propose test research model via survey. Our results show that accuracy response, self-learning, natural language interaction enhance in it, while human-like empathy influences but not intention. Trust fully mediates relationship between intention, partially other three fills gap understanding GCAI's appeal offers guidance for developers marketers.

Language: Английский

Citations

1
Factors Affecting the Use of ChatGPT for Obtaining Shopping Information DOI Open Access
Behzad Foroughi,

Mohammad Hossein Iranmanesh,

Elaheh Yadegaridehkordi

et al.

International Journal of Consumer Studies, Journal Year: 2024, Volume and Issue: 49(1)

Published: Dec. 13, 2024

ABSTRACT ChatGPT transforms the shopping experience by providing responses in human‐like language about products, services, and brands to customers. This study investigated influential drivers of intention use obtain information. We extended “extended unified theory acceptance technology” UTAUT2 incorporating direct moderating effects trust technology anxiety. To test model on data from 412 respondents, a hybrid Partial Least Squares—Artificial Neural Network (PLS‐ANN) approach was employed. combines strengths PLS for modeling complex variable relationships ANN capturing nonlinear dependencies interactions. analysis identified performance expectancy, effort facilitating conditions, hedonic motivation, as significant usage. The associations between its predictors are negatively moderated revealed that has highest effect choice ChatGPT, followed expectancy. By extending framework applying PLS‐ANN method, this advances theoretical understanding adoption provides practical insights marketers developers AI‐driven text generators. It emphasizes importance building alleviating anxiety promote wider ChatGPT. broader significance research lies contribution shaping future retail e‐commerce strategies encouraging more informed user‐centric development AI technologies domain.

Language: Английский

Citations

1