Social commerce (SC) is an upcoming trend that has changed the online shop**
experience by allowing e‐retailers to develop long‐term relationships with customers and …

Purpose This study investigates whether and how the service quality of artificial intelligence
(AI) chatbots affects customer loyalty to an organization. Design/methodology/approach …

This study addresses two critical research gaps in human-robot interaction (HRI): the limited
systematic research on the role of trust in customers' acceptance of artificially intelligent (AI) …

This study extends the post-acceptance model of information systems (IS) continuance,
which is widely used to explain users' satisfaction and IS continuance intentions. The …

Chatbots are mainly text-based conversational agents that simulate conversations with
users. This study aims to investigate drivers of users' satisfaction and continuance intention …

Purpose Partial least squares structural equation modeling (PLS-SEM) has become popular
in the information systems (IS) field for modeling structural relationships between latent …

AI chatbots have been widely applied in the frontline to serve customers. Yet, the existing
dimensions and scales of service quality can hardly fit the new AI environment. To address …

To improve customer experience and achieve sustainable development, many industries,
especially banking, have leveraged artificial intelligence to implement a chatbot into their …

Social commerce refers to an extension of e-commerce sites, integrated with social media
and Web 2.0 technology to encourage online purchases and interactions with customers …

Based on the stimulus-organism-response (SOR) framework, this study investigated the
antecedents of green online purchase intention by focusing on the impact of electronic …