The escalating use of artificial intelligence in marketing significantly impacts all aspects of consumer life. This research, grounded in attribution theory and S-O-R theory, employs scenario-based experimental methods to simulate two distinct purcha...
The invention of service robots has reduced the labor cost and improved enterprises' efficiency and service quality. However, it is still difficult to enhance consumers' intention to use robot-by-robot design efficiently. Based on social roles of ant...
Journal of prosthodontics : official journal of the American College of Prosthodontists
Jul 15, 2024
PURPOSE: This study aimed to examine the satisfaction of dental professionals, including dental students, dentists, and dental technicians, with computer-aided design (CAD) software performance using deep learning (DL) and explainable artificial inte...
There is considerable enthusiasm for the potential of artificial intelligence (AI) to improve financial well-being. Despite this enthusiasm, it is important to underscore AI's potential adverse effects on consumers' financial decisions. We introduce ...
Inspired by significant technical advancements, a rapidly growing stream of research explores human lay beliefs and reactions surrounding AI tools, which employ algorithms to mimic elements of human intelligence. This literature predominantly documen...
Chatbots, a type of virtual AI entity designed to emulate human conversation, are gaining prominence in business and consumer domains. This research aims to consolidate extant literature focusing on a pivotal aspect: the human-likeness of chatbots. E...
This review presents a framework for understanding how consumers respond to artificial intelligence (AI) and related technologies, such as robots, algorithms, or chatbots. Drawing on a systematic review of the literature (N = 111), we describe how AI...
BACKGROUND: The literature for assessing online and offline shopping behaviours that are linked to intelligent robotic goods and services is inadequate. In this study, we applied the Theory of Planned Behaviour model for guidance regarding how consum...
Customer churn prediction is vital for organizations to mitigate costs and foster growth. Ensemble learning models are commonly used for churn prediction. Diversity and prediction performance are two essential principles for constructing ensemble cla...
The scope of artificial intelligence (AI) in healthcare is promising, and AI has the potential to revolutionise the field of palliative care services also. Consumer satisfaction in palliative care is a critical aspect of providing high-quality end-of...
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