PurposeThis is a general review study aiming to specify the key customer-based factors and technologies that influence the value co-creation (VCC) process through artificial intelligence (AI) and automation in the hospitality and tourism industry.Design/methodology/approachThe study uses a theory-based general literature review approach to explore key customer-based factors and technologies influencing VCC in the tourism industry. By reviewing the relevant literature, the authors conclude a theoretical framework postulating the determinants of VCC in the AI-driven tourism industry.FindingsThis paper identifies customers' perceptions, attitudes, trust, social influence, hedonic motivations, anthropomorphism and prior experience as customer-based factors to VCC through the use of AI. Service robots, AI-enabled self-service kiosks, chatbots, metaversal tourism and new reality, machine learning (ML) and natural language processing (NLP) are technologies that influence VCC.Research limitations/implicationsThe results of this research inform a theoretical framework articulating the human and AI elements for future research set to expand the models predicting VCC in the tourism industry.Originality/valueFew studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.
(2017). DART model from a customer's perspective: an exploratory study in the hospitality industry of Greece. Problems and Perspectives in Management, 15(2-3), 536-548. doi:10.21511/ppm.15(si)
AbstractThe customers are an essential element for marketing decisions and became a factor decisive to develop collaborations with the company. The study examines the four building blocks of the interaction of the DART model (Dialogue, Access, Risk Assessment, Transparency) in the hospitality industry from the client's perception. This approach of the research is paramount, as value co-creation and DART model especially are based on a dialogical process between equal partners. That means that the principles of the four building blocks of interaction are equally applied to all the actors involved. This argument is amplified as the dividing line between producers and consumers is barely evident in the service-dominant logic. The exploratory study has been carried out at the Makedonia International Airport in Thessaloniki, Greece. Partial Least Squares (PLS) provides empirical support to conduct the exploratory study.
This study evaluates whether the Value Co-creation (VCC) process in hotels contributes to positive guest experience and satisfaction. This paper utilizes the DART model (Dialogue, Access, Risk, and Transparency) as the main framework to explore VCC in hotels. This research is the first to both adjust the DART model to a customer’s viewpoint and evaluate it in the hotel context. The included data is derived from 484 international tourists lodged in Greek hotels and is analyzed with the structural equation modeling technique. Results suggest that the Dialogue component of DART does not affect the positive experience, while Access, Transparency, and Risk Assessment do, in fact, strongly influence tourist satisfaction. The current study enriches and consolidates VCC–DART theory in the hotel context.
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