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Open Access
Article
Publication date: 5 May 2022

Konstantinos 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…

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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.

Details

Journal of Tourism Futures, vol. 10 no. 1
Type: Research Article
ISSN: 2055-5911

Keywords

Abstract

Details

Journal of Service Management, vol. 35 no. 2
Type: Research Article
ISSN: 1757-5818

Open Access
Article
Publication date: 18 December 2023

Christian Grönroos

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

Journal of Service Theory and Practice, vol. 34 no. 3
Type: Research Article
ISSN: 2055-6225

Keywords

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