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The study aims to understand the relationship between facilitating, demoting, motivating factors and visit intention; and to clarify the role of death anxiety before visiting a dark exhibition.

Partial least squares structural equation modeling was adopted to analyze data from 426 potential visitors to the Capuchin Crypt in Rome (Italy).

Results demonstrate that dark fascination, prestige, reflection on death and mortality and interpersonal facilitators are the main drivers of visit intention, and structural constraints are the main demoting factors. Contrary to expectations, intrapersonal constraints have a positive influence on motivators and indirectly on visit intention, and death anxiety has mixed results.

Data collection from only one dark exhibition requires that the generalization of the results must be done with care.

Conclusions enabled a better understanding of pre-trip tourist behavior, providing valuable suggestions for the communication strategy of Destination Management Organizations (DMOs) and site managers.

The study adopts a consolidated and empirical approach to studying facilitators, motivators, constraints and visit intention, as well as the effect of death anxiety. To the best of the author’s knowledge, this is the first study to develop a comprehensive investigation of these four constructs, whether at the darker or the lighter end of the dark tourism spectrum. Consequently, it offers a better understanding of lighter dark attractions, which allows DMOs and others to improve the communication of their tourism products.

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–Yang dialectic approach to address how AI–HI 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.

This paper is conceptual and pragmatic in nature, whereas its structure design follows the requirements of a real impact study.

Based on experimental information and logical reasoning, the authors first identify three critical cross-cultural challenges in AI–HI 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–HI collaboration. Then applying the Yin–Yang dialectic to interpret Klir’s epistemological frame (1993), the authors propose an unconventional stratified system of cross-cultural KC for understanding integrative AI–HI decision-making for humanitarian logistics across cultures.

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.

The originality lies in the use of a cognitive methodology of the Yin–Yang 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.