W Batat, W Hammedi - Journal of Service Management, 2022 - emerald.com
Purpose Because new-age technologies are gaining a broader interest among service scholars and practitioners, it is critical to identify these technologies and examine the roles …
Augmented reality (AR) can induce emotions among its users. However, emotional valence is often studied with a singular focus (eg, enjoyment), which disregards and overlooks the …
H Kumar, N Tuli, RK Singh, V Arya… - Journal of Consumer …, 2024 - Wiley Online Library
Augmented reality (AR) has proven to be a potential source of disruption in the marketing discipline. Abundant research has attested to AR's potential by exploring the impact of AR …
V Calderón-Fajardo, S Molinillo… - Journal of Business …, 2023 - Elsevier
The aim of this study is to improve the understanding of the scientific contributions made by brand personality (BP) research, to identify its predominant themes and to propose a …
E Massa, R Ladhari - International Journal of Consumer …, 2023 - Wiley Online Library
This systematic review of the literature focuses on the use of AR and its impacts in the marketing area. It provides a multidisciplinary, up‐to‐date synthesis of the literature and an …
R Payal, N Sharma, YK Dwivedi - Electronic Commerce Research and …, 2024 - Elsevier
We propose metaverse as a medium for customer brand active engagement and for stimulating the purchase intentions towards a brand in real world. The participants recruited …
Purpose Virtual try-on (VTO) technology offers an opportunity for fashion and beauty brands to provide enriched self-explorative experiences. The increased popularity of VTOs makes it …
I Khan, M Fatma - Journal of Retailing and Consumer Services, 2024 - Elsevier
Augmented Reality (AR) has gained increased attention in recent theory and practice owing to its potential to enhance customer responses toward brands. However, the investigation …
B Singh, C Kaunert, R Malviya, S Lal… - Intersection of AI and …, 2024 - igi-global.com
ABSTRACT AI tools have the capability to analyze emotions conveyed in substantial text inputs such as customer reviews or feedback. These algorithms categorize sentiment as …