Análisis de los antecedentes de la intención de uso en las Aplicaciones móviles NFC en los destinos turísticos
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Issue section:
Research
Keywords:
App NFC, turismo, valor percibido, PLS, smartphone, España.
Abstract
La tecnología Near Field Communication (NFC) es una tecnología incipiente con un notable potencial de uso en los destinos turísticos. La tecnología NFC permite generar nuevas y mejores experiencias al turista y mejorar procesos en las empresas del sector a través del Smartphone. El objetivo de esta investigación es explorar y analizar los antecedentes en la adopción de las aplicaciones móviles (Apps) turísticas de NFC o comunicación de campo cercano en la búsqueda de información en un destino turístico. A partir de la revisión de la literatura se proponen tres grupos de antecedentes asociados a la usabilidad de la propia tecnología móvil, los beneficios derivados de su uso y los posibles riesgos que el turista asume. Para alcanzar estos objetivos se propuso un cuestionario online a 218 sujetos tras visionar un vídeo explicando el uso que pueden hacer de las Apps NFC turísticas en un destino turístico. Los resultados aplicando mínimos cuadrados parciales (PLS) mostraron como el valor percibido, la utilidad, así como el disfrute percibido tienen una relación significativa con la intención de uso de estas aplicaciones en España. Este trabajo ofrece importantes implicaciones para las empresas del sector.
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Dec 9, 2020
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References
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Chen, Y. S. & Huang, S. Y. B. (2017). The effect of task-technology fit on purchase intention: The moderating role of perceived risks. Journal of Risk Research, 20(11), 1418-1438. Chin, W.W. (1998). The Partial Least Squares Approach to Structural Equation Modeling. in Modern methods for business research, edited by Marcoulides, G.A., 295–336. New Jersey, USA: Lawrence Erlbaum Associates. Cronbach, L. J. (1951). Coefficient alpha and the internal structure of tests. Psychometrika, 16(3), 297-334. Currás-Pérez, R., Ruiz-Mafé, C., & Sanz-Blas, S. (2013). Social network loyalty: evaluating the role of attitude, perceived risk and satisfaction. Online Information Review, 37(1), 61-82. Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003. Esmaeilzadeh, P., Sambasivan, M., &Nezakati, H. (2014). The Limitations of Using the Existing TAM in Adoption of Clinical Decision Support System in Hospitals: An Empirical Study in Malaysia. International Journal of Research in Business and Social Science, 3(2), 56-68. Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press. Featherman, M. S., & Pavlou, P. A. (2003). Predicting e-services adoption: a perceived risk facets perspective. International journal of human-computer studies, 59(4), 451-474. Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 382-388. Geisser, S. (1975). The predictive sample reuse method with applications. Journal of the American statistical Association, 70(350), 320-328. Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., ... y Calantone, R. J. (2014). Common beliefs and reality about PLS comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182-209.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. Hew, J. J., Tan, G. W. H., Lin, B., & Ooi, K. B. (2017). Generating travel-related contents through mobile social tourism: Does privacy paradox persist?. Telematics and Informatics, 34(7), 914-935. Ivars-Baidal, J. A., Celdrán-Bernabeu, M. A., Mazón, J. N., & Perles-Ivars, Á. F. (2017). Smart destinations and the evolution of ICTs: a new scenario for destination management?. Current Issues in Tourism, 1-20. Kim, H. W., Xu, Y., y Gupta, S. (2012). Which is more important in Internet shopping, perceived price or trust?. Electronic Commerce Research and Applications, 11(3), 241-252. Lee, B. C., Yoon, J. O., & Lee, I. (2009). Learners’ acceptance of e-learning in South Korea: Theories and results. Computers & Education, 53(4), 1320-1329 Lee, D., Moon, J., Kim, Y. J., & Mun, Y. Y. (2015). Antecedents and consequences of mobile phone usability: Linking simplicity and interactivity to satisfaction, trust, and brand loyalty. Information & Management, 52(3), 295-304. Liébana-Cabanillas, F., Ramos de Luna, I., & Montoro-Ríos, F. (2017). Intention to use new mobile payment systems: a comparative analysis of SMS and NFC payments. Economic research-Ekonomska istraživanja, 30(1), 892-910. Liu, C., & Gao, J. (2008). A Cognitive Analysis of Travel Risks Based on the Conceptual Models of Risk Perception: A Case Study of Inhabitants in Shanghai [J]. Tourism Science, 5, 008. Lu, Y., Deng, Z., & Wang, B. (2010). Exploring factors affecting Chinese consumers' usage of short message service for personal communication. Information Systems Journal, 20(2), 183-208. Molina, M. E. R. (2009). Valor percibido, actitud y lealtad del cliente en el comercio minorista. Universia Business Review, 1(21). Ministerio de Ministerio de Industria, Comercio y Turismo (2018). España logra un récord de llegadas en 2017 con 82 millones de turistas Internacionales. http://www.mincotur.gob.es/es-es/gabineteprensa/notasprensa/2018/Paginas/Espa%C3%B1alograunr%C3%A9corddellegadasen2017con82millonesdeturistasinternacionales.aspx Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (McGraw-Hill Series in Psychology). Olya, H. G., &; Al-ansi, A. (2018). Risk assessment of halal products and services: Implication for tourism industry. Tourism Management, 65, 279-291. Olya, H. G., & Altinay, L. (2016). Asymmetric modeling of intention to purchase tourism weather insurance and loyalty. Journal of Business Research, 69(8), 2791-2800. Ozturk, A. B., & Ozturk, A. B. (2016). Customer acceptance of cashless payment systems in the hospitality industry. International Journal of Contemporary Hospitality Management, 28(4), 801-817. Pappas, N. (2017). The complexity of purchasing intentions in peer-to-peer accommodation. International Journal of Contemporary Hospitality Management, 29(9), 2302-2321. Parasuraman, A. (1997). Reflections on gaining competitive advantage through customer value. Journal of the Academy of Marketing Science, 25(2), 154-161. Park, S., & Tussyadiah, l. P. (2017). Multidimensional facets of perceived risk in mobile travel booking. Journal of Travel Research, 56 (7), 854-867. Pesonen, J., & Horster, E. (2012). Near field communication technology in tourism. Tourism Management Perspectives, 4, 11-18. Petter, S., Straub, D., y Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623-656. Ponte, E. B., Carvajal-Trujillo, E., & Escobar-Rodríguez, T. (2015). Influence of trust and perceived value on the intention to purchase travel online: Integrating the effects of assurance on trust antecedents. Tourism Management, 47, 286-302.
Ringle, C., Wende, S., & Becker, J. (2015). SmartPLS 3. Bönningstedt: SmartPLS. Retrieved from http://www.smartpls.com Roca, J. C., & Gagné, M. (2008). Understanding e-learning continuance intention in the workplace: a self-determination theory perspective. Computers in Human Behavior, 24(4), 1585-1604. DOI: https://doi.org/10.1016/j.chb.2007.06.001
How to Cite
Análisis de los antecedentes de la intención de uso en las Aplicaciones móviles NFC en los destinos turísticos. (2020). Industrial and Systems Engineering , 19(4). https://ojs3x.com/index.php/ectms/article/view/1474
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