Systematic literature review and future research directions for service robots in hospitality and tourism industries

Mukherjee, Subhodeep; Baral, Manish Mohan; Nagariya, Ramji; Venkataiah, Chittipaka; Rao, U.V. Adinarayana; Rao, K. Srinivasa

doi:10.1080/02642069.2023.2243592

Cited by 11 publications

(1 citation statement)

References 149 publications

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“…The repetitive nature of the food items supplied makes fast-food restaurant environments perfect for the use of robots (Fuste-Forne, 2021). Fast food businesses are experimenting robots as cooks and servers (Mukherjee et al ., 2023) and as cashiers (McCartney and McCartney, 2020). By 2030, robots are expected to make up over 25% of the workforce in the hotel and tourist industries.…”

Section: Background Literaturementioning

confidence: 99%

Factors affecting innovation resistance of fast-food employees’ usage intention of robots: an integrative perspective

Khan,

Mehmood

2024

JHTI

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PurposeRobots have been adopted in numerous tourism and hospitality sectors, including restaurants. This study aims to investigate fast-food employees' use of service robots (SRs) in Pakistan.Design/methodology/approachThis study used a conceptual model based on innovation resistance theory (IRT). By employing structural equation modeling (SEM) in Smart-PLS 3.2.8, we evaluated data from 247 valid respondents.FindingsThe findings demonstrated that drivers of robot adaptation significantly influenced image barriers, risk barriers, traditional barriers, usage barriers and value barriers. The results also revealed that usage, image and traditional barriers significantly affect usage intention.Originality/valueThis study enhances the research on robotics acceptance in tourism and hospitality and subsequently aids in the planning for post-COVID-19 resumption. This study offers several practical and theoretical insights for further investigation.

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Section: Background Literaturementioning

confidence: 99%