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Self-service Technologies in the Travel, Tourism, and Hospitality Sectors: Principles and Practice

Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality

ISBN: 978-1-78756-688-0, eISBN: 978-1-78756-687-3

Publication date: 14 October 2019

Abstract

Purpose: The development of service automation continues to underpin the travel, tourism and hospitality sectors providing benefits for both customers and service companies. The purpose of this chapter is to showcase the practice of self-service technology (SST) usage in the contemporary tourism and hospitality sectors and present a conceptual framework of customer SST adoption.

Design/Methodology/Approach: This chapter offers an examination of theory, research and practice in relation to SST usage in tourism, highlighting the benefits and drawbacks arising for both customers and service providers. Since the benefits are achieved only if SSTs gain effective adoption with customers, this chapter focuses on concepts underpinning the study of customer SST adoption. Drawing on SST adoption factors and SST customer roles, a conceptual framework of SST adoption is discussed.

Findings/Practical Implications: This chapter examines the principles and practice underpinning the usage of self-service technologies in the travel, tourism and hospitality sectors, with specific reference to customer SST roles in co-creation. The customer SST roles provide a more detailed and nuanced picture of the customer perspective on SST usage. These nuanced roles are captured in a conceptual framework which seeks to further refine the understanding of customer SST adoption.

Research Implications & Originality/Value: The framework provides a useful foundation for further research with a focus on customer empowerment in SSTs. The future development of service automation will require a balance between the delivery of a personalised and smarter customer experience and technology applications that are unobtrusive and which do not pose any ethical or privacy concerns.

Keywords

Citation

Kelly, P., Lawlor, J. and Mulvey, M. (2019), "Self-service Technologies in the Travel, Tourism, and Hospitality Sectors: Principles and Practice", Ivanov, S. and Webster, C. (Ed.) Robots, Artificial Intelligence, and Service Automation in Travel, Tourism and Hospitality, Emerald Publishing Limited, Leeds, pp. 57-78. https://doi.org/10.1108/978-1-78756-687-320191003

Publisher

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Emerald Publishing Limited

Copyright © 2019 Emerald Publishing Limited