x=(tourism_work) y=(sdg8) while y=true: automate(x)
Introduction
Today's society is marked by the fourth industrial revolution, or ‘Industry 4.0’ (Schwab, 2017). This term is used to describe a set of transformations, both ongoing and impending, brought by rapidly emerging technologies referred to as cyber-physical systems. Technological advances in artificial intelligence (AI) and robotics are projected to profoundly impact many aspects of life (ICAR, 2018), introduce new ways of creating value, and disrupt current industries and organizational models (WEF, 2018). The anticipated scale and scope of automation our society will experience due to the use of AI and robots brings an added layer of anxiety to the global concern for jobs (Manyika et al., 2017; UNA-UK, 2018). AI, automation and robotics have the potential to create employment for a lot of people and thus be a significant driver of economic growth (Ernst, Merola, & Samaan, 2018). However, there is a legitimate concern that the use of robots will displace demand for human labor, especially low-skilled workers and those performing routinized tasks, in a broad range of sectors and industries (Das & Hilgenstock, 2018; Frey & Osborne, 2017). The labor-intensive travel and tourism sector is no exception.
The WEF (2018) has projected that in the next five years 75 million jobs will be replaced due to automation, while an additional 133 million new jobs will be created. As a result, a new approach to support job transitions, including reskilling and retraining effort, will be necessary. Even for occupations that will not be replaced entirely by machines, reskilling and upskilling of employees will be required due to the significant change automation will bring to work (Dobrusin, 2019). As an increasing number of tasks within tourism and hospitality services will fall victim to impending automation, companies are faced with deciding to either lay off people as their roles become redundant, or restructure and reinvent existing roles, letting robots take over boring and demeaning jobs, giving more meaningful tasks to humans. Importantly, a new breed of fully automated hospitality services (e.g., robotized hotels) has been introduced as novel offerings in the sector. Following in the footsteps of airline companies to apply self-service technologies, they rely on radical efficiency from needing less human labor.
In order to guarantee that adoption of advanced technologies will promote sustained, inclusive, and sustainable growth, the transition to automation needs to be made in a responsible and accountable manner (ICAR, 2018). Policymakers are called to prioritize investments in decent and sustainable work, to put in place plans for job creation, to support transitioning workers, and to provide wider social protections (Benson Wahlén, 2019; UNA-UK, 2018). Equally important is the role companies play in helping workers adapt and prepare for new opportunities brought by AI and robotics. Ultimately, using technological innovation to accelerate the attainment of Sustainable Development Goals (SDGs), particularly SDG 8, which promotes full and productive employment and decent work for all, requires policymakers and companies to work synergistically (ICAR, 2018). The limited empirical research in this area means despite the increasing automation in travel and tourism it is largely unknown if the underlying people management strategies that come with the adoption of automation are in line with supporting human development and providing safe, stable, and well-paid jobs.
This study aims to better understand whether and how companies use automation to support the provision of decent work in travel and tourism. To that end, the study addresses the following research questions: How and why are travel and tourism companies currently implementing automation? How do these strategies reflect the SDGs and how can automation be leveraged to provide decent work in tourism? We gathered information by way of in-depth interviews with managers of fully automated hotels and restaurants and focus group discussions with a group of tourism and hospitality practitioners whose organizations have adopted varying levels of automation. Themes emerging from the narratives were analyzed to gain a better understanding of the current practice of automation and provision of decent work in the travel and tourism sector. The results contribute to guiding the direction for responsible and accountable adoption of automation in travel and tourism.
Section snippets
Tourism, automation, and decent work
Over the last few decades, the tourism sector has become one of the most important drivers of global economic growth and development, as well as a major contributor to global employment (Statista, 2018). The World Travel & Tourism Council (WTTC, 2019) estimated that in 2018 the sector accounted for around 319 million jobs (10% of total employment) globally. The trend is likely to continue, with more people indulging in tourism-related activities due to more accessible and affordable
Methodology
Considering that automating tourism jobs is a relatively new phenomenon with potential profound impact to the sector, useful theoretical conceptualizations around the transformation brought by automation in the sector are essential. To address this need, this research applied Grounded Theory, a qualitative research methodology developed in the field of sociology aiming at generating empirically grounded theory based on systematic exploration of a phenomenon (Glaser, 1978; Strauss, 1987; Strauss
Results and discussion
The main factor driving the adoption of automation by tourism and hospitality companies revealed through interviews and focus groups is labor shortage. The initial focus uncovered is of automation as a way to reduce reliance on human labor by replacing workers. However, as companies faced challenges during the implementation of automation (e.g., arising from technological limitations), it becomes apparent that companies prefer human-robot cooperation where processes and tasks are distributed
A model of Decent Work through Automation
An important question this research attempted to address was whether and how automation can be adopted to promote the provision of decent work in travel and tourism. Based on the findings, a model outlining how to provide decent work through the adoption of automation is suggested (see Fig. 2). Three factors contribute to this: (1) effectiveness of human-machine cooperation, (2) working conditions, and (3) level of empowerment. The operational property of these factors can be defined in terms
Conclusion and implications
In order to assess whether the implementation of automation in the travel and tourism sector has been made in a responsible and accountable manner with regards to dignified work, this study aimed to explore and conceptualize how automation affects work in the sector, particularly focusing on the role of automation in supporting the provision of decent work. Based on in-depth interviews and focus group discussions with managers of relevant tourism and hospitality businesses, this study produced
Acknowledgments
The authors would like to thank Nathalie Hinds (University of Surrey) and Minako Okada (JTB) for their assistance during data collection. The focus groups were supported by ESRC SeNSS Business Boost Industry Engagement Fund Award (UK).
Aarni Tuomi ([email protected]) is PhD Researcher at School of Hospitality and Tourism Management, University of Surrey. His research explores impacts of emerging technologies, most notably service automation through AI and robotics, on hospitality and tourism theory and practice.
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2022, Annals of Tourism ResearchCitation Excerpt :These shifts add weight to an already contested space regarding celebrity ‘do-gooders’, whose charitable actions are critiqued for maintaining power distance and disavowing the seriousness (or their culpability) for crises' impacts (Littler, 2008). Technology was front-and-centre of narratives about the tourism industry, pre-COVID-19, and often mooted as a solution to augment or substitute labour, or experientially value-add (Tuomi, Tussyadiah, Ling, Miller, & Lee, 2020). News media discourse has mediated changes in a way that readers were increasingly likely to position technology as a necessity, a lubricant for continuing business and protecting both consumers and workers (Pillai, Haldorai, Seo, & Kim, 2021).
Aarni Tuomi ([email protected]) is PhD Researcher at School of Hospitality and Tourism Management, University of Surrey. His research explores impacts of emerging technologies, most notably service automation through AI and robotics, on hospitality and tourism theory and practice.
Iis Tussyadiah is Professor of Intelligent Systems in Service at School of Hospitality and Tourism Management, University of Surrey. Her research interest lies in the intersection of technologies and behavior.
Erin Chao Ling is PhD Researcher at School of Hospitality and Tourism Management, University of Surrey. Her research focuses on artificially intelligent assistants in travel.
Graham Miller is Professor of Sustainability in Business and Executive Dean of the Faculty of Arts and Social Sciences at University of Surrey. He conducts research into business ethics, sustainable tourism, and CSR.
Geunhee Lee is Associate Professor of Marketing at College of International Management, Ritsumeikan Asia Pacific University. His research interests include consumer behavior, viral marketing, and value co-creation.