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The effects of Experience-Technology Fit (ETF) on consumption behavior: Extended Reality (XR) visitor experience

Timothy Jung (Manchester Metropolitan University, Manchester, UK) (School of Management, Kyung Hee University, Seoul, South Korea)
Sujin Bae (School of Management, Kyung Hee University, Seoul, South Korea)
Natasha Moorhouse (Manchester Metropolitan University, Manchester, UK)
Ohbyung Kwon (School of Management, Kyung Hee University, Seoul, South Korea)

Information Technology & People

ISSN: 0959-3845

Article publication date: 10 July 2023

Issue publication date: 5 July 2024

1056

Abstract

Purpose

Traditionally, Task–Technology Fit (TTF) theory has been applied to examine the usefulness of technology in the work environment. Can the same approach (based on experience rather than tasks) be applied to non-work, cultural heritage environments? This is the question the authors ask in this study. This study proposes a new variation of TTF based on the experience economy model, namely Experience–Technology Fit (ETF), for the non-work environment, in particular, in the context of cultural heritage, where visitor experience is enhanced by extended reality technology, which combines immersive technologies and artificial intelligence.

Design/methodology/approach

Employing a quantitative survey method, the empirical analysis seeks to determine the influence of Mixed Reality (MR) characteristics (interactivity, vividness), Voice User Interface (VUI) characteristics (speech recognition, speech synthesis) and experience economy factors (education, entertainment, esthetic, escape) on satisfaction, revisit intention and actual purchase to propose a new ETF model.

Findings

VUI, MR, and experience factors were significantly associated with ETF; when combined with MR-based experience, ETF was significantly associated with satisfaction. This study’s findings further demonstrate the relationship between users' satisfaction when engaging with MR-based experience and revisit intention, while purchase intention was significantly associated with the actual purchase.

Originality/value

The novel contribution of this study is the proposal of the EFT model, a new variation of TTF based on the experience economy model. Overall, this study expands the applications of TTF to an experience-oriented business, thereby broadening the authors’ understanding of technological success with a specific focus on the technology fit of Extended Reality (XR) in the context of cultural heritage.

Keywords

Acknowledgements

This research was supported by the Eminent Scholar Program at Kyung Hee University in 2022.

This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea (NRF-2020S1A3A2A02093277).

Citation

Jung, T., Bae, S., Moorhouse, N. and Kwon, O. (2024), "The effects of Experience-Technology Fit (ETF) on consumption behavior: Extended Reality (XR) visitor experience", Information Technology & People, Vol. 37 No. 5, pp. 2006-2034. https://doi.org/10.1108/ITP-01-2023-0100

Publisher

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Emerald Publishing Limited

Copyright © 2023, Emerald Publishing Limited

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