Making sophisticated software applications economically feasible does not necessarily
mean that user needs and demands are met in regard to chatbots (Bialkova,). Creating …

Despite the enormous effort to understand the factors driving chatbot effectiveness,
researchers are not univocal. The profound literature audit we performed demonstrated that …

Consumers' resistance towards chatbot agency questions the quality of human-computer
interaction, and thus, invites further investigation on factors determining chatbot efficiency …

Various types of AI systems are distinguished based on the algorithms deployed, the
technical features, and the devices integrated into different applications. The puzzling …

The factors hypothesised in the conceptual model on chatbot agency are tested in an
empirical study hereby. We have invited consumers who had used a chatbot at least once in …

Artificial intelligence (AI) applications are expected to revolutionise the traditional marketing
space, tremendously changing business, and social life. Chatbots as one of these …

The factors hypothesised in the conceptual model of chatbot efficiency (see Chap. 4,
Bialkova,) were tested in an empirical study. Users who had used a chatbot at least once in …

Chatbots are increasingly finding their way into e-commerce and e-services, as their
implementation opens up promising opportunities to improve customer service. The present …

There is a growing interest in chatbots, which are machine agents serving as natural
language user interfaces for data and service providers. However, no studies have …

Chatbots are emerging as interactive systems. However, we lack knowledge on how to
classify chatbots and how such classification can be brought to bear in analysis of chatbot …