Artificial intelligence in live streaming: How can virtual streamers bring more sales? DOI
Yaping Chang, Han Wang, Zitao Guo

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2025, Номер 84, С. 104247 - 104247

Опубликована: Фев. 3, 2025

Язык: Английский

How do e-commerce anchors' characteristics influence consumers’ impulse buying? An emotional contagion perspective DOI
Li Li, X. Chen, Peng Zhu

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2023, Номер 76, С. 103587 - 103587

Опубликована: Окт. 11, 2023

Язык: Английский

Процитировано

65

Green Environmental Management System to Support Environmental Performance: What Factors Influence SMEs to Adopt Green Innovations? DOI Open Access
Abdalwali Lutfi, Hamza Alqudah, Mahmaod Alrawad

и другие.

Sustainability, Год журнала: 2023, Номер 15(13), С. 10645 - 10645

Опубликована: Июль 6, 2023

In the current era of high environmental uncertainty, advancement green technologies has led to innovative practices in manufacturing sector, becoming preferred approach for achieving sustainable development today’s business markets. Manufacturing firms require innovation improve their performance and monitor operations effectively, but adoption implementation these innovations is still low among industries. To bridge this gap, a study was conducted using resource-based view (RBV) theory technology–organization–environment (TOE) framework develop validate model that encourages adopt innovation. A survey administered 179 respondents from firms, data were analyzed structural equation modeling (PLS-SEM). The integrated constructs model—perceived benefits, top management support, coercive pressure, normative mimetic pressure—all predicted accounting practices. Additionally, found directly significantly impacted performance. developed provides clear implications decision makers, highlighting importance adopting order enhance Advanced have shown significant connection between performance, particularly developing economies.

Язык: Английский

Процитировано

45

Informative or affective? Exploring the effects of streamers’ topic types on user engagement in live streaming commerce DOI
Lijuan Luo, Meiling Xu, Yujie Zheng

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103799 - 103799

Опубликована: Март 11, 2024

Язык: Английский

Процитировано

30

Analysing the impact of coupled domestic demand dynamics of green and low-carbon consumption in the market based on SEM-ANN DOI
Kaisheng Di, Weidong Chen, Qiumei Shi

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103856 - 103856

Опубликована: Апрель 16, 2024

Язык: Английский

Процитировано

29

How real-time interaction and sentiment influence online sales? Understanding the role of live streaming danmaku DOI
Yihan Zhang, Kai Li, Qian Chen

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103793 - 103793

Опубликована: Март 9, 2024

Язык: Английский

Процитировано

25

Digital human calls you dear: How do customers respond to virtual streamers’ social-oriented language in e-commerce livestreaming? A stereotyping perspective DOI
Ruiqi Yao, Guijie Qi, Zhiqiang Wu

и другие.

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103872 - 103872

Опубликована: Апрель 26, 2024

Язык: Английский

Процитировано

24

Avatars in live streaming commerce: The influence of anthropomorphism on consumers' willingness to accept virtual live streamers DOI
Hongquan Chen, Bingjia Shao, Xuemei Yang

и другие.

Computers in Human Behavior, Год журнала: 2024, Номер 156, С. 108216 - 108216

Опубликована: Апрель 3, 2024

Язык: Английский

Процитировано

22

How technical features of virtual live shopping platforms affect purchase intention: Based on the theory of interactive media effects DOI
Yuan Sun, Yating Zhong, Zuopeng Zhang

и другие.

Decision Support Systems, Год журнала: 2024, Номер 180, С. 114189 - 114189

Опубликована: Фев. 5, 2024

Язык: Английский

Процитировано

21

AI or Human? The Effect of Streamer Types on Consumer Purchase Intention in Live Streaming DOI
Jingyan Gao, Xijie Zhao,

Mengfan Zhai

и другие.

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 13

Опубликована: Янв. 8, 2024

Live streaming has emerged as a novel way for product sales, where the streamer plays an important role. However, little is known about how differences between artificial intelligence (AI) streamers and human impact consumer purchase intentions. Based on social cognitive theory, this study proposed conceptual model exploring influences of types, novelty seeking, perceived intimacy, responsiveness intention. 387 responses from live users, results showed that compared with AI streamers, consumers have higher intention when served by streamers. Consumers perceive having more intimacy to positively affect Furthermore, mediate relationship types In addition, moderating effects seeking are significant. Specifically, lower intentions mediation will be stronger. high consumers, there no difference in influence intention, role weaker. This enriches theoretical research provides management strategies platforms obtain better benefits through different

Язык: Английский

Процитировано

20

From human to virtual: Unmasking consumer switching intentions to virtual influencers by an integrated fsQCA and NCA method DOI
Zhucheng Shao

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103715 - 103715

Опубликована: Янв. 21, 2024

Язык: Английский

Процитировано

17