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1 – 3 of 3Konstantinos Solakis, Vicky Katsoni, Ali B. Mahmoud and Nicholas Grigoriou
This 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…
Abstract
Purpose
This 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/approach
The 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.
Findings
This 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/implications
The 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/value
Few studies have examined consumer-related factors that influence their participation in the VCC process through automation and AI.
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Keywords
Marco Opazo Basáez, Ferran Vendrell-Herrero, Oscar F. Bustinza and Chris Raddats
In servitization research, there has been a call to move further toward the development of business models based on a service approach. This article aims to answer this call by…
Abstract
Purpose
In servitization research, there has been a call to move further toward the development of business models based on a service approach. This article aims to answer this call by adopting service logic (SL) and developing strategies and organizational resources and processes to create a service-centric business model called servification, defined as the process of identifying and developing strategies and organizational resources and processes to create a business model based on SL.
Design/methodology/approach
This article is conceptual and extends servitization in the direction of service-centric business model innovation by drawing on and extending SL.
Findings
The article defines service as a higher-order concept according to SL and develops the concept of a helping strategy as the foundation for a service-based business model. Further, it develops a typology of organizational resources and processes that must be developed for the emergence of such a business model.
Research limitations/implications
Since this article is the first to conceptually develop servification, more both theoretical and empirical research is naturally required. The development of servification takes servitization in the direction of service-based business model innovation and also contributes to the research on SL.
Practical implications
Servification enables the development of service-centric strategies and organizational resources and processes and service-based business models.
Originality/value
This article is the first to adopt SL in studies of business model innovation.
Details