The effect of tourists’ technology adoption propensity on the acceptance of smart tourism apps



Published Jan 28, 2020
Tan Lei Cheng T.P. Vincent Zhang Yuqin


STA are becoming popular as tourists’ increasing relies on mobile devices in their trip to explore the destination. Therefore, the adoption of STA is crucial to the development of smart tourism. Extant literature mainly focuses on the application of different technology acceptance models. This study explores the impact of tourists’ attitude about technology on their intention to use STA. The technology adoption propensity (TAP) scale was used to measure the technology readiness of tourists in this study. A survey with a structured questionnaire was used to collect data in this study. The respondents were asked to study the introduction of a STA similar to those displayed on an App store and then complete the questionnaire. A total of 355 valid questionnaires were collected. The data were analyzed using the Partial least-squares method (PLS). Since TAP is a multi-dimensional scale, a second-order analysis was performed. From the TAP measures, tourists generally believe that technology changes and improve their daily lives, making their lives easier. However, technology is a double-edged sword, which will bring some adverse effects while improving the tourist's living standard. The result of the path analysis reveals that all the hypotheses proposed in this study are valid. The TAP of tourists has a positive influence on usage intention with trust and curiosity as two partial mediating variables. TAP has a stronger influence on the tourists' curiosity than trust, and curiosity has a stronger effect on tourists’ intentions to use STA than trust. Tourists with higher TAP will plead to increased curiosity about STA, that will prompt them to try, understand, and continue using the STA. The higher the tourists’ trust in the STA, the more willing they would choose and use STA.

How to Cite

Lei, T., Vincent , C. T. ., & Yuqin, Z. . . (2020). The effect of tourists’ technology adoption propensity on the acceptance of smart tourism apps. International Conference on Advances in Business and Law (ICABL), 3(1), 59–67.
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smart tourism, smart tourism apps, technology adoption propensity



Albarracin, D., Johnson, B. T., Fishbein, M., & Muellerleile, P. A. (2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127(1), 142-161.

Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice : A review and recommended two-step approach Psychological Bulletin, 103(3), 411-423.

Cheng, T. P. V., & Loi, M. K. (2014). Handling negative online customer reviews: The effects of elaborative likelihood model and distributive justice. Journal of Travel & Tourism Marketing, 31(1), 1-15.

Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, 16(1), 64-73.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340.k, b

Deloitte. (2012). So Many Apps-So Little to Download. from

Dredge, S. (2011). Most Branded Apps Are a Flop Says Deloitte. But why?


Grissemann, U., & Stokburger-Sauer, N. (2012). Customer co-creation of travel services: The role of company support and customer satisfaction with the co-creation performance. Tourism Management, 33(6), 1483-1492.

Fornell, C. and Larcker, D.F. (1981) Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. Journal of Marketing Research, 18, 382-388.

Fukuyama, F. (1996). Trust still counts in a virtual world. Forbes, 33.

Gefen, D. (2000).E-commerce: the role of familiarity and trust. Omega, 28(6), 725-737.

Grewal, D., Gotlieb, J., & Marmorstein, H. (1994). The moderating effects of message framing and source credibility on the price–perceived risk relationship. Journal of Consumer Research, 21, 145-153.

Hair, J. F., Sarstedt, M., & Ringle, C. M. (2011). PLS-SEM: Indeed a Silver Bullet. The Journal of Marketing Theory and Practice, 19(2), 139-152.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2 ed.). Thousands Oaks, California 91320: SAGE Publicationsm Inc.

Hoehle, H., & Venkatesh, V. (2015). Mobile Application Usability: Conceptualization and Instrument Development. Mis Quarterly, 39(2), 435-472.

Huang, M. H. (2003). Designing website attributes to induce experiential encounters. Computers in Human Behavior, 19(4), 425-442.

Kashdan, T. B., & Silvia, P. J. (2012). Curiosity and Interest: The Benefits of Thriving on Novelty and Challenge: Oxford University Press.

Lee, J.-H., & Song, C.-H. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Social Behavior & Personality: An International Journal, 41(4), 587-598.

Li, Y., Hu, C., Huang, C., & Duan, L. (2017). The concept of smart tourism in the context of tourism information services. Tourism Management, 58, 293-300.

Litman, J. A., & Silvia, P. J. (2006). The Latent Structure of Trait Curiosity: Evidence for Interest and Deprivation Curiosity Dimensions. Journal of Personality Assessment, 86(3), 318-328. doi:10.1207/s15327752jpa8603_07

Maskus, K. E. (2003). Encouraging International Technology Transfer. UNCTAD/ICTSD Capacity Building Project. On Intellectual Property Rights and Sustainable Development.

Nelson, B., Kuo, P.-J., Bishop, M., & Goodman, R. J. (2012). Measuring psychographics to assess purchase intention and willingness to pay. Journal of Consumer Marketing, 29(4), 280-292.

Okazaki, S., Navarro, A., Mukherji, P., & Plangger, K. (2018). The curious versus the overwhelmed: Factors influencing QR codes intention. Journal of Business Research.

Parasuraman, A. (2000). Technology Readiness Index (TRI): A multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320.

Mcknight, D. H., Cummings, L. L., & Chervany, N. L. (1998). Initial trust formation in new organizational relationships. Academy of Management Review, 23(3), 473-490.

Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World Wide-Web context. Information & Management, 38(4), 217-230

Narayana, C. L. (1977). Graphic positioning scale: an economical instrument for surveys. Journal of Marketing Research, 14(1), 118-122.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory, 3rd. McGraw-Hill, New York, 3, 701.

Parasuraman, A. (2000). Technology readiness index (TRI) - a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research, 2(4), 307-320.

Ratchford, M., & Barnhart, M. (2012). Development and validation of the technology adopti

on propensity (TAP) index. Journal of Business Research, 65(8), 1209-1215.

Shi, Y. (2013). The next generation of communications technology in the era of economic experience: Smart tourism application. Technological Horizon, 9, 180-193.

Shiau, W.-L., & Wu, H.-C. (2013). Using Curiosity and Group-buying Navigation to Explore the Influence of Perceived hedonic Value, Attitude, and Group-buying Behavioral Intention. Journal of Software, 8(9).

SOHU China (2017). China smart phone utilization rate reaches 74 percent

Sparks, B. A., & Browning, V. (2011). The impact of online reviews on hotel booking intentions and perception of trust. Tourism Management, 32, 1310-1323.

Stanton, J. M., Sinar, E. F., Balzer, W. K., & Smith, P. C. (2002). Issues and strategies for reducing the length of self-report scales. Personnel Psychology, 55(1), 167-194.

Vasavada, M., & Padhiyar, Y., J. (2016). “Smart tourism”: growth for tomorrow. Journal for Research, 1(12), 55-61.

, Houston, Texas.