Hotel employee's artificial intelligence and robotics awareness and its impact on turnover intention: The moderating roles of perceived organizational support and competitive psychological climate
By J. Li, Mark Bonn, B. Ye. Tourism Management, 2019
699 citations recorded by the source corpus.
Abstract The advent of machines powered by artificial intelligence (AI) and robotics technologies have already strongly influenced the hospitality industry, and the effects of its replacement upon the human workforce has been a highly debated topic. Despite this, empirical evidence in the form of published empirical studies have yet to appear in academic journals that present compelling evidence addressing what hospitality employees’ awareness of those potential impacts could be pertaining to AI and robotics specifically applied within the context of their turnover intention and future employment prospects. The purpose of this study was to present new empirical findings on this issue using data from a sample of 468 full-time five star hotel employees in Guangzhou, China. AI and robotics awareness was found to be significantly associated with employee turnover intention. This relationship was moderated by perceived organizational support and competitive psychological climate. Implications and directions for future research are provided.
Subfields: Artificial Intelligence, Demography, Organizational Behavior and Human Resource Management
View Paper: https://www.semanticscholar.org/paper/4c426a8fcd03b866892b06602c20038c7d790e26
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In Artificial Intelligence
In Demography
In Organizational Behavior and Human Resource Management
- Jun Wen
- Pimtong Tavitiyaman
- Samuel Chng
- Brigid Trenerry
- Zainal Shah Suhaila
- Peng Ho Oh
- Yang Wang
- Han Lu
Citations in the corpus
- Effects of COVID-19 on hotel marketing and management: a perspective article (2020, background): “They found that workers’ AI and robotics awareness had a significantly positive effect on turnover intention; this relationship was moderated by perceived organizational support and a competitive psychological climate (Li et al., 2019).”
- Preparing Workplaces for Digital Transformation: An Integrative Review and Framework of Multi-Level Factors (2021, background): “…robotics, and algorithms) by employees was generally related to perceptions of potential job redundancy, increased turnover intentions, cynicism and depression, and lower levels of organizational commitment and career satisfaction (Brougham and Haar, 2017, 2018; Hettich, 2017; Li et al., 2019).”
- How Tourists Perceive the Usefulness of Technology Adoption in Hotels: Interaction Effect of Past Experience and Education Level (2020, background): “AI is defined as ‘the simulation of human intelligence processes that allows computer systems to automatically learn from experiences and perform human-like tasks to mimic human cognitive functions and improve the efficiency of daily tasks’ (Li et al., 2019; Revfine, 2019).”
- A review of research into automation in tourism: Launching the Annals of Tourism Research Curated Collection on Artificial Intelligence and Robotics in Tourism (2020, background): “Attempts have been made to measure the attitude and intention to adopt intelligent machines by consumers (Lu, Cai & Gursoy, 2019; Tussyadiah & Park, 2018) and employees (Li, Bonn, & Ye, 2019) in hospitality.”