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Öğe Application of fuzzy-set qualitative comparative analysis (fsQCA) in hospitality and tourism research: a bibliometric study(Emerald Group Publishing Ltd, 2024) Eluwole, Kayode Kolawole; Lasisi, Taiwo Temitope; Parvez, M. Omar; Cobanoglu, CihanPurpose - Fuzzy-set qualitative comparative analysis (fsQCA) is explored as a transformative tool rooted in complexity theory, shedding light on uncertainties shaping real-world decisions in tourism, with a focus on its application in the hospitality domain. Design/methodology/approach - This study systematically evaluates fsQCA's application in hospitality and tourism research, employing bibliometric analysis to scrutinize the published literature since its induction in 2011. The research seeks to understand the evolving usage by qualitatively reviewing impactful studies based on total citations. Findings - The study reveals the ascendancy of fsQCA as a predominant approach in hospitality and tourism studies, particularly in illuminating decision-making paradigms in key sectors like destination and hotel selections and entrepreneurial orientations. However, an absence of fsQCA applications in gastronomy and wine tourism is identified, signaling uncharted territories for future inquiry. Research limitations/implications - Theoretical implications include paradigm shifts to complexity theory, configural analysis and asymmetric algorithms. Practical implications involve improved decision-making and tailored marketing, benefiting industry practitioners. Limitations include potential academic bias, while future research suggests exploring sub-sectors, sustainability and emerging technologies. Originality/valueThis study identifies gaps in the fsQCA application and pioneers its examination within the hospitality domain, offering a unique perspective on understanding intricate relationships and configurations among variables. The study emphasizes the efficacy of asymmetric methodologies in elucidating behavioral nuances in hospitality and tourism, providing a foundation for future inquiries to expand horizons and unravel the nuanced applications of fsQCA in this research domain.Öğe Employees’ perception of robots and robot-induced unemployment in hospitality industry under COVID-19 pandemic(ELSEVIER SCI LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND, 2022) Parvez, M. Omar; Öztüren, Ali; Çobanoğlu, Cihan; Araslı, Hüseyin; Eluwole, Kayode KolawoleThe impact of the pandemic is driving the recent upsurge in service automation and the adoption of service robots in the hospitality industry. As service paradigm and customer expectations shift from conventional customized and personalized services towards a digitalized service environment, such customer orientation may favor using service robots at scales that could render service employees redundant. This study aims to answer the above question by investigating service employees’ perceptions of service robots. Data solicited from 405 service employees in the United States of America via Amazon’s MTurk were analyzed using structural equation modeling. The result revealed that employees’ awareness of adopting and using service robots significantly impacts their perception of robot-induced unemployment. Further, results indicated that the perception of robots’ social skills significantly influences service employees’ perception of robot-induced unemployment. Employee status was found to moderate the relationships mentioned above. Specifically, entry-level employees perceive the unemployment risk more than managers.Öğe Robotic safety and hygiene attributes: visitors' intention to receive robot-delivered hospitality services(Emerald Group Publishing Ltd, 2024) Parvez, M. Omar; Eluwole, Kayode Kolawole; Lasisi, Taiwo TemitopePurpose-This study aims to investigate tourists' intentions to use hotel service robots with a focus on safety and hygiene. It examines the impact of perceived safety, health awareness and service assurance on consumer engagement and robot usage. Design/methodology/approach-Survey data from 275 participants with experience in robotic service were analyzed using structural equation modeling (SEM). The study used purposive sampling and collected data via the Prolific platform, using SEM and SmartPLS Ver. 3.0 for analysis. Findings-Results indicate customers prioritize safety and hygiene, valuing effective service responses and cleanliness. Perceived robotic safety and service assurance positively influence personal engagement, with a preference for service robots among female guests. Research limitations/implications-While emphasizing the importance of safety and service assurance in hotel robotics, the study acknowledges limitations in personalization and conclusive use of service robots. Originality/value-This research contributes to understanding the role of perceived safety in service robot usage, highlighting the significance of user trust and comfort in human-robot interactions. It also explores the novel connection between service assurance and service robots, offering insights into robotic performance reliability in user-centric contexts.