Drivers of organizational adoption of automation

Iis Tussyadiah; Aarni Tuomi; Erin Ling; Graham Miller; Geunhee Lee

doi:10.1016/j.annals.2021.103308

Drivers of organizational adoption of automation

Iis Tussyadiah, Aarni Tuomi, Erin Ling, Graham Miller, Geunhee Lee

Northern Productivity Hub

Research output: Contribution to journal › Comment/debate › peer-review

15 Citations (Scopus)

Abstract

The implementation of artificial intelligence, robotics, and automation in tourism and hospitality has received increasing attention from researchers and practitioners alike. It is expected that innovative technological solutions will bring a host of transformation to the sector (Ivanov & Webster, 2019). While examples of full automation in tourism remain scant, understanding the factors influencing organizational decision to adopt automation is important to assess the likelihood to increase adoption rate in the future. Of interest is identifying potentially modifiable factors that can be employed to improve adoption of best practices (Wisdom et al., 2014). Thus far, no empirical studies have been done to address this. This research aims to fill the gap by providing a set of factors identified by practitioners as driving the organizational adoption of automation. The results suggest avenues for further research and offer best practices to implement automation in tourism.

Original language	English
Article number	103308
Number of pages	6
Journal	Annals of Tourism Research
Volume	93
Early online date	29 Sep 2021
DOIs	https://doi.org/10.1016/j.annals.2021.103308
Publication status	Published - 1 Mar 2022

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AU - Tuomi, Aarni

AU - Ling, Erin

AU - Miller, Graham

AU - Lee, Geunhee

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AB - The implementation of artificial intelligence, robotics, and automation in tourism and hospitality has received increasing attention from researchers and practitioners alike. It is expected that innovative technological solutions will bring a host of transformation to the sector (Ivanov & Webster, 2019). While examples of full automation in tourism remain scant, understanding the factors influencing organizational decision to adopt automation is important to assess the likelihood to increase adoption rate in the future. Of interest is identifying potentially modifiable factors that can be employed to improve adoption of best practices (Wisdom et al., 2014). Thus far, no empirical studies have been done to address this. This research aims to fill the gap by providing a set of factors identified by practitioners as driving the organizational adoption of automation. The results suggest avenues for further research and offer best practices to implement automation in tourism.

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KW - Innovation

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Drivers of organizational adoption of automation

Abstract

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