{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T21:36:47Z","timestamp":1776807407679,"version":"3.51.2"},"reference-count":53,"publisher":"Emerald","issue":"7","license":[{"start":{"date-parts":[[2024,2,9]],"date-time":"2024-02-09T00:00:00Z","timestamp":1707436800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JKM"],"published-print":{"date-parts":[[2024,7,25]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Aiming to resolve cross-cultural paradoxes in combining artificial intelligence (AI) with human intelligence (HI) for international humanitarian logistics, this paper aims to adopt an unorthodox Yin\u2013Yang dialectic approach to address how AI\u2013HI interactions can be interpreted as a sophisticated cross-cultural knowledge creation (KC) system that enables more effective decision-making for providing humanitarian relief across borders.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>This paper is conceptual and pragmatic in nature, whereas its structure design follows the requirements of a real impact study.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>Based on experimental information and logical reasoning, the authors first identify three critical cross-cultural challenges in AI\u2013HI collaboration: paradoxes of building a cross-cultural KC system, paradoxes of integrative AI and HI in moral judgement and paradoxes of processing moral-related information with emotions in AI\u2013HI collaboration. Then applying the Yin\u2013Yang dialectic to interpret Klir\u2019s epistemological frame (1993), the authors propose an unconventional stratified system of cross-cultural KC for understanding integrative AI\u2013HI decision-making for humanitarian logistics across cultures.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Practical implications<\/jats:title>\n<jats:p>This paper aids not only in deeply understanding complex issues stemming from human emotions and cultural cognitions in the context of cross-border humanitarian logistics, but also equips culturally-diverse stakeholders to effectively navigate these challenges and their potential ramifications. It enhances the decision-making process and optimizes the synergy between AI and HI for cross-cultural humanitarian logistics.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>The originality lies in the use of a cognitive methodology of the Yin\u2013Yang dialectic to metaphorize the dynamic genesis of integrative AI-HI KC for international humanitarian logistics. Based on system science and knowledge management, this paper applies game theory, multi-objective optimization and Markov decision process to operationalize the conceptual framework in the context of cross-cultural humanitarian logistics.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jkm-06-2023-0458","type":"journal-article","created":{"date-parts":[[2024,2,7]],"date-time":"2024-02-07T00:07:11Z","timestamp":1707264431000},"page":"1963-1977","source":"Crossref","is-referenced-by-count":47,"title":["Combining artificial and human intelligence to manage cross-cultural knowledge in humanitarian logistics: a Yin\u2013Yang dialectic systems view of knowledge 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