The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
Cross-cultural differences in adopting mobile augmented reality at cultural heritage tourism sites
Open accessAbstract
Purpose: Augmented reality (AR) is increasingly used in cultural heritage tourism sites for the enhancement of the tourist experience. However, behavioral intention to adopt AR is dependent on cultural traits, and close investigation is required on cultural differences. To explore these cultural differences and the effect on AR acceptance in cultural heritage tourism sites, this study aims to focus on the aesthetic and hedonic characteristics of AR applications. Design/methodology/approach: Data were collected in two countries with strong contrasts in Hofstede’s cultural dimensions to explore cultural differences in AR acceptance. In total, 145 questionnaires were collected in Deoksugung Palace, South Korea, and 119 questionnaires were collected in the An Post Museum, Republic of Ireland. Data were analyzed using PLS Graph 3.0. Findings: The findings confirmed that the aesthetics of AR have a strong influence on perceived enjoyment. Furthermore, this study supported the notion that high power distance, collectivism and high uncertainty avoidance culture such as South Korea’s perceives stronger dependence on social influence and the hedonic characteristics of AR. Practical implications: AR innovation and marketing within the hospitality and tourism industry requires an understanding of cultural differences to ensure successful implementation. In addition, tourism and hospitality managers need to ensure that the needs and requirements of different target markets are met. Originality/value: This study applied Hofstede’s cultural dimensions to explore the differences between two very distinct countries with regard to AR acceptance. The findings provide important implications for the implementation of tourism AR applications for different countries, especially considering international target markets.
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Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116
Azuma, R. T. (1997) · Presence: Teleoperators and Virtual Environments · doi:10.1162/pres.1997.6.4.355 · Cited by 10,121
Technology Acceptance Model 3 and a Research Agenda on Interventions
Venkatesh, V., & Bala, H. (2008) · Decision Sciences · doi:10.1111/j.1540-5915.2008.00192.x · Cited by 8,159 · cited 1×
“In fact, perceived enjoyment was found to be a strong determinant of ease of use within a variety of studies and contexts (e.g., Venkatesh, 2000; Venkatesh & Bala, 2008).”
Venkatesh, V. (2000) · Information Systems Research · doi:10.1287/isre.11.4.342.11872 · Cited by 6,664
The support of autonomy and the control of behavior.
Deci, E. L., & Ryan, R. M. (1987) · Journal of Personality and Social Psychology · doi:10.1037//0022-3514.53.6.1024 · Cited by 3,242
Toward a hierarchical model of intrinsic and extrinsic motivation
Vallerand, R. J. (1997) · Advances in experimental social psychology · doi:10.1016/s0065-2601(08)60019-2 · Cited by 3,198 · cited 1×
“On the other hand, intrinsic motivations relate to the drive of hedonic purposes, including the expectation of pleasure, satisfaction and overall delight (Vallerand, 1997; Van der Heijden, 2004).”
Influence Processes for Information Technology Acceptance: An Elaboration Likelihood Model1
Bhattacherjee, A., & Sanford, C. (2006) · MIS Quarterly · doi:10.2307/25148755 · Cited by 1,398
Cited by
Fan, X., Jiang, X., & Deng, N. (2022) · Tourism Management · doi:10.1016/j.tourman.2022.104534 · Cited by 586
Augmented Reality in Cultural Heritage: An Overview of the Last Decade of Applications
Boboc, R. G., Băutu, E., Gîrbacia, F., Popovici, N., & Popovici, D.-M. (2022) · Applied Sciences · doi:10.3390/app12199859 · Cited by 387
Quality of virtual reality and its impacts on behavioral intention
Lee, M., Lee, S. A., Jeong, M., & Oh, H. (2020) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2020.102595 · Cited by 320
Metadata
- Authors
- Jung, T. H., Lee, H., Chung, N., & tom Dieck, M. C.
- Venue
- International Journal of Contemporary Hospitality Management
- Publisher
- Emerald
- Published
- 2018-03-19
- Volume
- 30
- Issue
- 3
- Pages
- 1621-1645
- ISSN
- 0959-6119 (ISSN-L)
- OpenAlex
- W2787476332
- Cited by
- 302
- References
- 16
- FWCI
- 30.98
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.