Online fashion consumerism among women: The interplay of digital experiences and decision-making – a mediated moderated analysis DOI Creative Commons

K. Madhura,

Niyaz Panakaje, S. M. Riha Parvin

и другие.

Innovative Marketing, Год журнала: 2024, Номер 20(4), С. 245 - 262

Опубликована: Дек. 27, 2024

This research examines how digital experiences on social media influence women’s buying behavior towards online fashion. Furthermore, it challenges moderate these purchase decisions, and attitudes mediate decisions. The executed in Southern Karnataka state of India obtained the responses from 800 women employed through a formal questionnaire systematic method selection. measurement models structural were examined using AMOS 23. study indicates that when engage with gain easy access to information feedback reviews, they develop stronger positive outlook These favourable opinions lead directly consumer choices additionally shape relationship between experience their purchasing patterns sites. issues regarding shopping discourage transformation views into real transactions. results reveal ease use, exemplified by intuitive navigation (β = 0.188) product information, positively affect attitudes. Electronic word-of-mouth (E-WOM), including reviews recommendations 0.456), also significantly boosts trust, leading higher intentions. Attitude acts as strong mediator, its effect showing β coefficient 0.609. However, like concerns over data privacy difficulties verifying review authenticity negatively attitude-behavior relationship, moderating -0.092. findings show necessity for more robust protection laws better accessibility minimize seen threats enhance shopper trust clothing shopping.

Язык: Английский

Determinants of smallholder barley farmers' intentions to adopt blockchain technology: a Technology Acceptance Model approach in Uganda DOI Creative Commons

Racheal Ninsiima,

Patience Mshenga,

Dickson Okello

и другие.

Frontiers in Sustainable Food Systems, Год журнала: 2025, Номер 9

Опубликована: Март 19, 2025

Introduction Technological change is a mega trend that drives sustainable development in the agrifood sector globally. The introduction of BanQu, blockchain-enabled platform, aimed to address challenges like lack transparency, side-selling, and unfair pricing Uganda's barley value chain, but its acceptance has been slow. While blockchain adoption thrived developed countries large supply chains, empirical evidence on uptake among smallholder farmers Sub-Saharan Africa, especially Uganda, remains limited. This study investigates determinants farmers' intentions accept technology (BCT) Uganda. Methods utilized second extension Technology Acceptance Model (TAM2), customized fit context. Quantitative data were gathered from 245 Bukwo Kween, two leading barley-producing districts eastern analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results discussion showed perceived usefulness (PU) significantly influenced behavioral intention (BI) shaped ease use (PEU). Subjective norms (SUN) voluntariness (BV) enhanced PU, while control (PBC) improved PEU. Notably, BCT relevance (BR) directly BI, bypassing PU. These findings provide fresh insights into rural adoption, highlighting PU's influence PEU BV's role shaping recommends emphasizing benefits such as reducing transaction costs, leveraging social networks, addressing resource gaps boost acceptance. advances understanding emerging economies

Язык: Английский

Процитировано

0

The Impact of AI-Powered Try-On Technology on Online Consumers’ Impulsive Buying Intention: The Moderating Role of Brand Trust DOI Open Access
Yanlei Gao, Jingwen Liang

Sustainability, Год журнала: 2025, Номер 17(7), С. 2789 - 2789

Опубликована: Март 21, 2025

Within the global wave of manufacturing intelligence, AI technologies are revolutionizing industrial frameworks through deep integration. As a resource-intensive sector, fashion has become pivotal arena for assessing AI’s role in sustainable development. China, world’s largest apparel producer, faces unique integration challenges, highlighting intersection innovation and sustainability. To further explore impact AI-powered try-on technology on impulsive buying intentions young Chinese consumers, this research utilizes modified version stimulus–organism–response (SOR) model. From lens online shopping, investigates how key features technology, such as visual vividness, interactive control, personalized configuration, ease use, affect intentions. Additionally, study examines mediating roles perceived utilitarian value, hedonic immersion, alongside moderating brand trust. A structured survey was conducted with 366 participants, data were analyzed using partial least squares (PLS) method. The findings reveal that four core attributes have positive effect Furthermore, along influence trust, substantiated. In realm effectively stimulates behavior drives purchases. These results offer valuable theoretical insights enhancing applications, while also providing strategic guidance brands e-commerce platforms developing AI-driven marketing approaches.

Язык: Английский

Процитировано

0

Evaluation of Artificial Intelligence Tools for Universities With Fuzzy Multi-Criteria Decision-Making Methods DOI
Hacer Yumurtacı Aydoğmuş,

Ufuk Aydogmus

Advances in educational technologies and instructional design book series, Год журнала: 2025, Номер unknown, С. 153 - 178

Опубликована: Янв. 3, 2025

The concept of Artificial Intelligence (AI), which was first used in the 1950s, can perform tasks that require human intelligence by using various algorithms and computer programs. This chapter aims to evaluate AI tools be universities. Firstly, universities were researched from literature, then Fuzzy Multi-Criteria Decision Making applied determine these should prioritized. Five criteria (perceived ease use, perceived usefulness, personalization, interaction, trust) obtained expert opinions literature weighted determined as alternatives numbers, presented Zadeh 1965, aid decision-making because it is frequently impossible utilize precise formulations during evaluations. Since extensions fuzzy numbers have been developed integrated into multi decision making methods. method this study also with use intuitionistic numbers.

Язык: Английский

Процитировано

0

Festivals in Age of AI: Smarter Crowds, Happier Fans DOI Creative Commons
Jo�ão M. Lopes, Ilda Massano‐Cardoso,

Camila Granadeiro

и другие.

Tourism and Hospitality, Год журнала: 2025, Номер 6(1), С. 35 - 35

Опубликована: Фев. 21, 2025

Artificial intelligence (AI) stands out as a transformative force in various sectors, offering both new opportunities and challenges. In tourism music events, AI has proven to be powerful tool for improving the attendee experience, personalizing artist recommendations, optimizing event logistics real time, enhancing audience interaction through virtual assistants immersive visual effects, thus highlighting its potential. This study aims analyze impact of applying experience consumers at festivals. particular, research examines on quality information delivered, extent consumer engagement with brands event, level trust technology. A quantitative methodology was used, collecting 400 responses from Portuguese who attended The results show that positively influence customer brand. Greater engagement, turn, increases willingness use solutions. Trust is significantly shaped by reliability system, which further promotes electronic word-of-mouth (eWOM) adopt AI. addition, eWOM plays key role encouraging technologies. Finally, memorable tourist experiences AI, underlining importance experiential factors promoting adoption. These highlight interconnected roles quality, trust, involvement, user shaping attitudes toward artificial applications. expands literature analyzing how AI-driven influences emphasizing need optimize these better festival strategies. It highlights link between positive eWOM, showing based high-quality enhances festival’s reputation attracts participants. contribution exploration adoption future festivals, offers insights boost credibility acceptance. Lastly, it provides strategic guidelines improve management.

Язык: Английский

Процитировано

0

Assessing the influence of artificial intelligence on sustainable consumption behavior and lifestyle choices DOI
Animesh Kumar Sharma, Rahul Sharma

Young Consumers Insight and Ideas for Responsible Marketers, Год журнала: 2024, Номер unknown

Опубликована: Дек. 6, 2024

Purpose Artificial intelligence (AI) has advanced at a rapid pace in the 21st century, and this had profound impact on many facets of human behavior, most notably attitudes toward sustainable consumption lifestyles consumers. Young consumers are forefront AI technology adoption due to their upbringing an era dominated by technological advancements, these technologies changing way they engage with brands, make purchases practice sustainability. This research paper aims investigate influence behavior lifestyle choices among young Design/methodology/approach study examines complex effects using Unified Theory Acceptance Use Technology 2 model. addresses intricacies issues related AI, such as risk overconsumption environmental technologies, while also examining how AI-driven tailored experiences improve consumer engagement promote Structural equation modeling (SEM) was used evaluate hypotheses produce solid insights into connections between AI. Findings The results highlight necessity adopting balanced manner stress significance coordinating advancements sustainability goals. Originality/value offers significant contribution body knowledge relationships consciousness consumption. It practical suggestions for encouraging eco-friendly activities responsible

Язык: Английский

Процитировано

1

Online fashion consumerism among women: The interplay of digital experiences and decision-making – a mediated moderated analysis DOI Creative Commons

K. Madhura,

Niyaz Panakaje, S. M. Riha Parvin

и другие.

Innovative Marketing, Год журнала: 2024, Номер 20(4), С. 245 - 262

Опубликована: Дек. 27, 2024

This research examines how digital experiences on social media influence women’s buying behavior towards online fashion. Furthermore, it challenges moderate these purchase decisions, and attitudes mediate decisions. The executed in Southern Karnataka state of India obtained the responses from 800 women employed through a formal questionnaire systematic method selection. measurement models structural were examined using AMOS 23. study indicates that when engage with gain easy access to information feedback reviews, they develop stronger positive outlook These favourable opinions lead directly consumer choices additionally shape relationship between experience their purchasing patterns sites. issues regarding shopping discourage transformation views into real transactions. results reveal ease use, exemplified by intuitive navigation (β = 0.188) product information, positively affect attitudes. Electronic word-of-mouth (E-WOM), including reviews recommendations 0.456), also significantly boosts trust, leading higher intentions. Attitude acts as strong mediator, its effect showing β coefficient 0.609. However, like concerns over data privacy difficulties verifying review authenticity negatively attitude-behavior relationship, moderating -0.092. findings show necessity for more robust protection laws better accessibility minimize seen threats enhance shopper trust clothing shopping.

Язык: Английский

Процитировано

0