Evidence map›Paper›PMID 40001795›Full record

ArticleBehavioral sciences (Basel, Switzerland)2025

A Multidimensional Exploration Based on Hofstede's Cultural Theory: An Empirical Study on Chinese Audience Acceptance of American Animated Films.

Tao Yu, Wei Yang, Ronghui Wu, Junping Xu, Jianhua Yang

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tao YuDepartment of Smart Experience Design, Kookmin University, Seoul 02707, Republic of Korea.ORCID 0009-0009-8381-6104
Wei YangDepartment of Smart Experience Design, Kookmin University, Seoul 02707, Republic of Korea.ORCID 0009-0000-6105-0317
Ronghui WuDepartment of Smart Experience Design, Kookmin University, Seoul 02707, Republic of Korea.ORCID 0009-0006-7399-5821
Junping XuDepartment of Smart Experience Design, Kookmin University, Seoul 02707, Republic of Korea.ORCID 0000-0002-7746-5610
Jianhua YangSchool of Communication, Qingdao University of Science and Technology, Laoshan Campus, No. 99 Songling Road, Qingdao 260061, China.

Funding

the National Social Science Fund of China Key Project in Arts 22AC003
6 · The paper itself

Abstract

In the context of globalization, cross-cultural research is essential for understanding behaviors and values across different cultural backgrounds. The way audiences from diverse cultures interpret and accept film content significantly impacts the international dissemination and market performance of films. This study, grounded in Hofstede's six cultural dimensions-power distance index (PDI), individualism vs. collectivism (IDV), uncertainty avoidance (UAI), masculinity vs. femininity (MAS), long-term vs. short-term orientation (LTO), and indulgence vs. restraint (IVR)-incorporates additional variables such as visual aesthetic appeal (VAA), narrative complexity (NCI), viewing motivation (VM), behavioral intentions (BIs), and brand loyalty (BL) to construct a multidimensional research framework. This framework aims to comprehensively examine the acceptance of American animated films among Chinese audiences and the cultural differences influencing such acceptance. Using structural equation modeling (SEM), this study analyzed the interrelationships between variables based on a sample of 507 participants with prior viewing experience. The findings reveal that different cultural dimensions significantly impact VM. PDI, UAI, and IDV exert significant negative influences on VM, with PDI being the most influential. Conversely, LTO and IVR do not demonstrate significant negative effects. In contrast, MAS, VAA, and NCI exhibit significant positive impacts on VM. Additionally, VM strongly influences audience acceptance, which, in turn, promotes the formation of BIs and repeated VM. This study extends the application of Hofstede's cultural dimensions to the domain of cross-cultural media consumption, enriching the theoretical framework with additional dimensions and offering a novel perspective for cross-cultural research. Furthermore, the study uncovers the intricate interactions between cultural context and film content, proposing strategies to enhance the acceptance of cross-cultural films. These findings not only provide valuable insights for the production and marketing of animated films but also offer strategic guidance for filmmakers in diverse markets.

Indexed as

animated film acceptanceaudience preferencescross-cultural acceptancecross-cultural film consumptionglobalization and mediaHofstede’s cultural dimensions

Identifiers

PMID40001795
PMCPMC11851816

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.