{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T11:46:37Z","timestamp":1776167197902,"version":"3.50.1"},"reference-count":77,"publisher":"Emerald","issue":"3","funder":[{"name":"FCT \u2212 Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia","award":["UIDB\/00685\/2025"],"award-info":[{"award-number":["UIDB\/00685\/2025"]}]},{"name":"Centre of Applied Economics Studies of the Atlantic, School of Business and Economics, University of the Azores"},{"name":"Regional Directorate for Science, Innovation and Development, Azores Government","award":["M1.1. A\/FUNC.UI&D\/018\/2025 (PROSCIENTIA)"],"award-info":[{"award-number":["M1.1. A\/FUNC.UI&D\/018\/2025 (PROSCIENTIA)"]}]},{"name":"FCT \u2212 Funda\u00e7\u00e3o para a Ci\u00eancia e Tecnologia","award":["CEGE, Project UIDB\/00731\/2020"],"award-info":[{"award-number":["CEGE, Project UIDB\/00731\/2020"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,3,11]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Artificial intelligence (AI)-assisted recruitment is evolving in the hospitality industry. However, a critical gap persists in understanding what recruiters expect from AI tools and how to design them to meet those expectations. To address this gap, this study aims to adopt a dual-perspective approach, examining the drivers and outcomes of AI-assisted recruitment logistics from the viewpoints of recruiters and recruits.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>The authors used a mixed-method approach across two studies. Study 1 consisted of 12 interviews with hospitality managers to explore their desired outcomes of using AI tools in the recruitment process. Study 2 involved the development of a chatbot-based scheduling system, followed by a survey with 256 participants to examine what drives the desired outcomes from the candidates\u2019 perspective.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>Study 1 reveals that beyond operational efficiency, recruiters use AI tools to enhance candidate satisfaction with the recruitment experience and to improve recruiter trustworthiness and attractiveness. Study 2 demonstrates that the key drivers of these outcomes are perceived usefulness, trust and enjoyment.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>AI tools that assist the recruitment process should be designed to enhance candidate satisfaction and positively influence perceptions of recruiter credibility. To achieve this, their design should prioritize perceived usefulness, address privacy and security concerns and offer an enjoyable user experience.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>This study investigates real user interactions with a functioning scheduling chatbot, offering a more authentic and valid assessment. Moreover, it extends the application of AI tools in hospitality beyond customer service, shedding light on their role in recruitment logistics.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/ijchm-05-2025-0709","type":"journal-article","created":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T04:51:50Z","timestamp":1770871910000},"page":"1027-1048","source":"Crossref","is-referenced-by-count":1,"title":["AI-assisted recruitment in hospitality: drivers of candidate satisfaction and perceptions of recruiter credibility"],"prefix":"10.1108","volume":"38","author":[{"given":"Maher Georges","family":"Elmashhara","sequence":"first","affiliation":[{"name":"Manchester Metropolitan University Business School , Manchester,","place":["UK"]}]},{"given":"Maria Teresa","family":"Borges Tiago","sequence":"additional","affiliation":[{"name":"University of the Azores Center of Applied Economic Studies of the Atlantic (CEEAplA), School of Business and Economics, , Ponta Delgada,","place":["Portugal"]}]},{"given":"Susana C.","family":"Silva","sequence":"additional","affiliation":[{"name":"Universidade Cat\u00f3lica Portuguesa Research Centre in Management and Economics (CEGE), Cat\u00f3lica Porto Business School, , Porto, , and Faculty of Business and Law, University of Saint Joseph, Macao, China","place":["Portugal"]}]}],"member":"140","published-online":{"date-parts":[[2026,2,13]]},"reference":[{"issue":"8","key":"2026041406460952400_ref001","doi-asserted-by":"crossref","first-page":"2757","DOI":"10.1108\/IJCHM-11-2024-1688","article-title":"Talent management in the hospitality and tourism industry: a French perspective on hospitality small and medium-sized enterprises","volume":"37","author":"Abid","year":"2025","journal-title":"International Journal of Contemporary Hospitality Management"},{"issue":"11","key":"2026041406460952400_ref002","doi-asserted-by":"crossref","first-page":"3587","DOI":"10.1108\/IJCHM-09-2023-1496","article-title":"The effect of immersive technologies on tourist satisfaction and loyalty: the mediating role of customer engagement and customer perceived value","volume":"36","author":"Abou-Shouk","year":"2024","journal-title":"International Journal of Contemporary Hospitality Management"},{"key":"2026041406460952400_ref003","doi-asserted-by":"crossref","first-page":"120822","DOI":"10.1016\/j.techfore.2021.120822","article-title":"Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence","volume":"169","author":"Allal-Ch\u00e9rif","year":"2021","journal-title":"Technological Forecasting and Social Change"},{"issue":"3","key":"2026041406460952400_ref004","doi-asserted-by":"crossref","first-page":"325","DOI":"10.1108\/JSM-02-2020-0066","article-title":"Going with the flow: smart shopping malls and omnichannel retailing","volume":"35","author":"Ameen","year":"2021","journal-title":"Journal of Services Marketing"},{"issue":"3","key":"2026041406460952400_ref005","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1080\/00913367.2000.10673615","article-title":"Are some comparative nutrition claims misleading? 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