{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,6]],"date-time":"2026-05-06T08:16:11Z","timestamp":1778055371982,"version":"3.51.4"},"reference-count":98,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T00:00:00Z","timestamp":1773360000000},"content-version":"vor","delay-in-days":3,"URL":"https:\/\/creativecommons.org\/licences\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,12,14]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>Drawing on parasocial interaction theory, this study examines how key attributes of artificial intelligence (AI)-enabled chatbot services, including functionality, trustworthiness, efficiency, human-likeness, responsiveness and reference to the service, affect consumers\u2019 perceived interactivity and foster brand experience, thereby enhancing parasocial relationships between brands and customers.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design\/methodology\/approach<\/jats:title>\n                    <jats:p>Structural equation modeling was used to analyze the data. A total of 278 valid responses were obtained from an online questionnaire survey.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>The attributes of AI-enabled chatbot services, namely trustworthiness, efficiency, human-likeness and reference to the service, positively affect their perceived interactivity. Furthermore, brand experience mediates the relationship between perceived interactivity and parasocial relationships.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Practical implications<\/jats:title>\n                    <jats:p>AI-enabled chatbots serve as virtual frontline employees capable of simulating human-like interpersonal engagement, thereby enhancing brand experiences. When consumers perceive a high level of interactivity with an AI-enabled chatbot, they develop more favorable impressions of the brand, which in turn strengthens the parasocial bond between the brand and its customers. These findings provide practical guidance for designing AI-enabled chatbot services that foster deeper brand\u2013customer relationships.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Originality\/value<\/jats:title>\n                    <jats:p>While previous research on AI-enabled chatbots has focused primarily on anthropomorphic features and service quality, limited attention has been paid to how specific service attributes contribute to building parasocial relationships in the context of online retail. This study addresses this gap by demonstrating how chatbot\u2013customer interactions can strengthen brand\u2013customer connections. Our findings provide valuable insight for managers across various industries and offer guidance on the application of AI technologies in digital transformation strategies to enhance customer service.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/intr-03-2024-0421","type":"journal-article","created":{"date-parts":[[2026,3,13]],"date-time":"2026-03-13T06:32:16Z","timestamp":1773383536000},"page":"107-126","source":"Crossref","is-referenced-by-count":0,"title":["How does a service chatbot build parasocial relationships with customers? A perspective from parasocial interaction theory"],"prefix":"10.1108","volume":"36","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-8546-0467","authenticated-orcid":true,"given":"Ching-Hua","family":"Lu","sequence":"first","affiliation":[{"name":"National Taichung University of Science and Technology , ,","place":["Taichung, Taiwan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5222-002X","authenticated-orcid":true,"given":"Chia-Ying","family":"Li","sequence":"additional","affiliation":[{"name":"National Sun Yat-sen University , ,","place":["Kaohsiung, Taiwan"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"You-Xuan","family":"Chen","sequence":"additional","affiliation":[{"name":"National Taichung University of Science and Technology , ,","place":["Taichung, Taiwan"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2026,3,10]]},"reference":[{"issue":"2","key":"2026050603421960600_ref001","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1007\/s12525-020-00414-7","article-title":"AI-based chatbots in customer service and their effects on user compliance","volume":"31","author":"Adam","year":"2021","journal-title":"Electronic Markets"},{"key":"2026050603421960600_ref002","unstructured":"Adiwardana, D., Luong, M.T., So, D.R., Hall, J., Fiedel, N., Thoppilan, R., Yang, Z., Kulshreshtha, A., Nemade, G., Lu, Y. and Le, Q.V. 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