The Impact of Big Data-Driven Strategies on Sustainable Consumer Behaviour in E-Commerce: A Green Economy Perspective DOI Open Access
Jiawei Shao,

Feng Yi,

Ziyang Liu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10960 - 10960

Published: Dec. 13, 2024

The significance of big data in modern industry is the core theme this study. chosen e-commerce, and how has introduced new dynamics sustainable purchasing was examined development green economy depends on whether products are being increasingly purchased or overconsumption reduced. E-commerce players tackle issue with personalized recommendations, pricing, target marketing strategies. Considerable data-enabled user experience also recently become a significant area. This study collected from Alibaba users through close-ended questionnaire. model revealed that recommendation, experience, strategies predictors consumer satisfaction, purchase behaviour satisfaction behaviour. Although targeted pricing could not find any relation behaviour, it mediated satisfaction. Overall, can be enhanced its implications marketing, experience.

Language: Английский

Researching user experience with artificial intelligence application for customer care services on e-commerce platform DOI Creative Commons
Nguyen Thi Phuong Giang, Do Manh Hung,

Ton Thi Huong

et al.

Jurnal Ekonomi Perusahaan, Journal Year: 2025, Volume and Issue: 31(2), P. 149 - 174

Published: Jan. 16, 2025

This study is conducted in the context of booming development e-commerce shopping Vietnam. The rising demand for online has resulted increased pressure on workforce optimization and automation customer service processes platforms. To meet need care response, significant resources manpower, time, cost are required. Therefore, to optimize costs, reduce response enhance care, applying artificial intelligence become a top choice. purpose this explore factors that directly affect experience using platforms aims help businesses understand feedback psychology develop strategies improve advance application model. provides an overview influencing AI-driven Based this, it offers managerial implications quality operating

Language: Английский

Citations

0
Enjoy it! Cosmetic try-on apps and augmented reality, the impact of enjoyment, informativeness and ease of use DOI Creative Commons
Valeria Micheletto,

S. Accardi,

Alessandro Fici

et al.

Frontiers in Virtual Reality, Journal Year: 2025, Volume and Issue: 6

Published: Feb. 12, 2025

Virtual Try-On cosmetics apps based on Augmented Reality (AR) technology can improve both consumer product evaluation and purchase decisions, while also supporting companies’ marketing strategies. This study explores the factors influencing use of AR-based by administering Technology Acceptance Model (TAM) additional scales a sample 634 Italian consumers. Perceived Informativeness (PI) Ease Use (PEOU) were hypothesized as predictors TRUST, DOUBT, Makeup Involvement (MI), Diagnosticity (PD), Behavioral Intention (BI), with Enjoyment (PE) acting mediating variable. The structural equation model (SEM) confirmed PI strong predictor, PE serving key mediator. findings suggest that moderate level PEOU is ideal - excessive simplicity or playfulness increases DOUBT decreases TRUST. Both PD BI are positively affected AR experience, their coexistence being crucial for effective app usage. Additionally, PI, mediated PE, significantly influences BI, emphasizing role information in decision-making. These results provide valuable insights industry, offering guidance to refine user experiences enhance engagement satisfaction.

Language: Английский

Citations

0
The role of rheology in cosmetics research: a review DOI

J. Kim,

Eun Jeong, Joon Hyun Baik

et al.

Korea-Australia Rheology Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 29, 2024

Language: Английский

Citations

3
The Impact of AI-Personalized Recommendations on Clicking Intentions: Evidence from Chinese E-Commerce DOI Creative Commons
Jiwang Yin, Xiaodong Qiu, Ya Wang

et al.

Journal of theoretical and applied electronic commerce research, Journal Year: 2025, Volume and Issue: 20(1), P. 21 - 21

Published: Feb. 5, 2025

AI-personalized recommendation technology offers more accurate and diverse choices to consumers increases click-through rates sales on e-commerce platforms. Yet, data consumers’ experiences of recommendations their impact path clicking intention are scarce. This article addressed these issues through three studies. In study 1, we adopted the Grounded Theory approach conduct in-depth interviews with 30 Chinese constructed a scale measure consumer experience click intention. 2, empirical research method reliability validity tests 347 valid questionnaires finalize officially. 3, based SOR theory, model formulated hypotheses then conducted analysis using 1097 questionnaires. We found that relevance, inspiration, insightful can significantly promote Moreover, immersive mediates between former factors intention, acceptance When perceive high degree information privacy infringement, experience’s positive will be weakened. Meanwhile, promoting effect also inhibited. quality improves, enhanced. fills gap in literature clarifies how affect It valuable insights for platforms continuously optimize personalized algorithms boost conversion rate online shopping.

Language: Английский

Citations

0
How Do Celebrity Characteristics as Streamers in Live‐Streaming Commerce Influence Impulsive Buying? A Case Study of Shopee Live DOI Creative Commons
Nandhita Zefania Maharani, Imairi Eitiveni, Betty Purwandari

et al.

Human Behavior and Emerging Technologies, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Celebrities as live streamers generate dozens of times more revenue than noncelebrity streamers. This is an opportunity for companies or other to adopt the characteristics celebrities increase sales and profits. research discusses streaming in Shopee application, Indonesia’s top e‐commerce application with highest number users. Therefore, this focuses on exploring perspectives users regarding influence celebrity supporting technological features. Data was collected using a deductive qualitative method through interviews who have shopped Live, broadcast by at least once Indonesia. study adopts stimulus–organism–response theory (SOR), social presence (SPT), reasoned action (TRA) explain interplay influencing factors impulsive buying. analysis performed thematic involving open, axial, selective coding. The concludes that such credibility, interactivity, attractiveness, professionalism, reputation, positively impact individuals’ impulse buying behavior. confirms previous findings provides extended SOR, SPT, TRA model. results can also serve recommendations find suitable promotional strategies enhance their performance.

Language: Английский

Citations

0
The Impact of Big Data-Driven Strategies on Sustainable Consumer Behaviour in E-Commerce: A Green Economy Perspective DOI Open Access
Jiawei Shao,

Feng Yi,

Ziyang Liu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 10960 - 10960

Published: Dec. 13, 2024

The significance of big data in modern industry is the core theme this study. chosen e-commerce, and how has introduced new dynamics sustainable purchasing was examined development green economy depends on whether products are being increasingly purchased or overconsumption reduced. E-commerce players tackle issue with personalized recommendations, pricing, target marketing strategies. Considerable data-enabled user experience also recently become a significant area. This study collected from Alibaba users through close-ended questionnaire. model revealed that recommendation, experience, strategies predictors consumer satisfaction, purchase behaviour satisfaction behaviour. Although targeted pricing could not find any relation behaviour, it mediated satisfaction. Overall, can be enhanced its implications marketing, experience.

Language: Английский

Citations

2