Antecedentes del uso de los medios sociales por el turistamotivación, oportunidad y capacidad

  1. Gutiérrez Taño, Desiderio 1
  2. Bulchand Gidumal, Jacques 2
  3. Díaz Armas, Ricardo Jesús 1
  4. Parra-López, Eduardo 1
  1. 1 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

  2. 2 Universidad de Las Palmas de Gran Canaria
    info

    Universidad de Las Palmas de Gran Canaria

    Las Palmas de Gran Canaria, España

    ROR https://ror.org/01teme464

Revue:
Cuadernos de turismo

ISSN: 1139-7861

Année de publication: 2013

Número: 31

Pages: 153-173

Type: Article

D'autres publications dans: Cuadernos de turismo

Résumé

This work uses the MOA model to explain to what level motivation, opportunity and ability of users are factors determining the intentions to use social media when organizing and taking vacation trips. The conclusions of the study reveal that the intentions to use social media are directly influenced by the motivation and ability of users; however, the opportunity does not significantly affect the predisposition to use such technologies. In turn, functional and hedonic benefits have an influence on motivations, while social benefits do not.

Références bibliographiques

  • ANGEHRN, A. (1997): «Designing Mature Internet Business Strategies: The ICDT Model». European Management Journal, 15 (4), pp. 361-369.
  • BARCLAY, D., HIGGINS, C. y THOMPSON, R. (1995): «The partial least squares (PLS) approach to causal modeling: Personal computer adoption and use as an illustration». Technological Studies, 2 (2), pp. 285-309.
  • BELLMAN, S., JOHNSON, E.J. y LOHSE, G.L. (2001): «To opt-in or opt-out: That depends on the question». Communications of the ACM, 44(2), pp. 25-27.
  • BIGNÉ, E., HERNÁNDEZ, B., RUIZ, C. y ANDREU, L. (2010): «How motivation, opportunity and ability can drive online airline ticket purchases». Journal of Air Transport Management, 16, pp. 346-349
  • BINNEY, W., HALL, J. y SHAW, M. (2003): «A further development in social marketing application of the MOA framework and behavioral implications». Marketing Theory, 3(3) pp. 387-403.
  • BRESSLER, S. y GRANTHAM, C. (2000): Communities of Commerce. New York: McGraw-Hill
  • CEGARRA, J.G., DEWHURST, F.W. y BRIONES, A.J. (2005): «Implementing e-Government through learning objects in the Spanish telecommunication industry». 4th International Conference Iberoamerican Academy of Management, December, Lisbon, Portugal.
  • CHIN, W.W. (1998): «Issues and opinion on structure equation modeling». MIS Quarterly, 22 (1), pp. 7-16.
  • CHUNG, J.Y. y BUHALIS, D. (2008): «A study of online travel community and Web 2.0: Factors affecting participation and attitude». Proceedings ENTER2008, Innsbruck, Springer-Verlag, Wien, pp. 267-278
  • DASGUPTA, S., GRANGER, M. y MCGARRY, N. (2002): «User Acceptance of E-collaborative Technology: An extension of the Technology Acceptance model». Group Decision and Negotiation, 11, pp. 87-100.
  • DAHLEN, M. (2002): «Learning the web: Internet User Experience and Response to Web Marketing in Sweden». Journal of Interactive Advertising, 3 (1) pp. 25-33.
  • FITZPATRICK D. (1998): Regional Development and the information Society. TIMMERS.
  • FORNELL, C. y BOOKSTEIN, F.L. (1982): «Two structural models: LISREL and PLS applied to consumer exit-voice theory». Journal of Marketing Research, 19, pp. 440452.
  • FORNELL, C. y CHA, J. (1994): «Partial least squares», in Bagozzi, R.P. (Eds), Advanced Methods of Marketing Research, Blackwell, Cambridge, MA, pp. 52-78.
  • FORNELL, C. y LARCKER, D.F. (1981): «Evaluating structural equation models with unobservable variables and measurement error». Journal of Marketing Research, 18, pp. 39-50.
  • GEISSER, S. (1974): «A predictive approach to the random effects model». Biometrica, 61, 101-107.
  • GRUEN, T.W., OSMONBEKOV, T. y CZAPLEWSKI, A.J. (2005): «How e-communities extend the concept of exchange in marketing: An application of the motivation, opportunity, ability (MOA) theory». Marketing Theory, 5(1) pp. 33-49.
  • GRUEN, T.W., OSMONBEKOV, T. y CZAPLEWSKI, A.J. (2006): «eWOM: The impact of customertocustomer online know-how exchange on customer value and loyalty». Journal of Business Research, 59(4) pp. 449-456.
  • GRUEN, T.W., OSMONBEKOV, T. y CZAPLEWSKI, A.J. (2007): «Customer-to-customer exchange: Its MOA antecedents and its impact on value creation and loyalty». Journal of the Academy of Marketing Science, 35(4) pp. 537-549.
  • HAGEL, J. y ARMSTRONG, A. (1997): Net Gain. Expanding Markets through Virtual Communities, Mass: Harvard Business School Press, 1997.
  • HONG, W.Y., THONG, J.Y.L., WAI-MAN, W. y TAM K.Y. (2002): «Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system characteristics». Journal of Management Information Systems 18, pp. 97-124.
  • HOYER, W.D. y MACINNIS, D. (1997): Consumer behavior. Boston, Ed. Houghton Mifflin.
  • HSU, C.L. y LIN, J.C. (2008): «Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation». Information and Management, 45, pp. 65-74.
  • HULLAND, J. (1999): «Use of partial least squares (PLS) in strategic management research: A review of four recent studies». Strategic Management Journal, 20 (2), pp. 195-204.
  • IGBARIA, M. (1993): «User acceptance of microcomputer technology: an empirical test». OMEGA International Journal of Management Science. Vol.21,1, pp. 73-90.
  • LEE, Y., KOZAR, K.A. y LARSEN, K.R.T. (2003): «The Technology Acceptance Model: Past, Present, and Future». Communications of the Association for Information Systems, Vol. 12, pp. 752-780.
  • LOHSE, G.S., BELLMAN, S., y JOHNSON, E.J. (1999): «Predictors of online buying behavior». Communications of the ACM, 42, pp. 32-48.
  • MACINNIS, D.J. y JAWORSKI, B.J. (1989): «Information processing from advertisements: Toward an integrative framework». Journal of Marketing 53(10) pp. 1-23.
  • MACINNIS D.J., MOORMAN C.M. y JAWORSKI, B.J. (1991): «Enhancing and measuring consumers’ motivation, opportunity and ability to process brand information from ads». Journal of Marketing, 55(10), pp. 32-53.
  • MARCOULIDES, G.A. y SAUNDERS C. (2006): «PLS: A Silver Bullet?». MIS Quarterly, 30(2), pp. 3-9.
  • MEROÑO CERDÁN, A. (2005): «El correo electrónico en las PYMES para la comunicación y gestión del conocimiento». Universia Business Review, 1(5), pp. 70-79.
  • NUNNALLY, J. (1978): Psychometric theory. McGraw-Hill. New York.
  • PARRA-LÓPEZ, E., BULCHAND-GIDUMAL, J., GUTIÉRREZ-TAÑO, D. y DÍAZ ARMAS, R. (2011): «Intentions to use social media in organizing and taking vacation trips». Computers in Human Behavior, 27(2), pp. 640-654.
  • PEREIRA, A., y CHAPARRO, J. (2005): «Aplicación de un sistema de información inter-organizacional en el sector de la domótica para la gestión del hogar digital». XV Congreso ACEDE, Septiembre, La Laguna, Canarias.
  • PREECE, J. (2000): Online Communities: Designing Usability, Supporting Sociability. Chichester: John Wiley & Sons.
  • REAL, J.C., LEAL, A y ROLDÁN, J.L. (2006): «Information technology as a determinant of organizational learning and technological distinctive competencies». Industrial Marketing Management, 35 (4), pp. 505-521.
  • RINGLE, C., WENDE, S. y WILL, A. (2005): Smart-PLS Version 2.0 M3. Disponible en http://www.smartpls.de.
  • RODGERS S. y SHELDON, K.M. (2002): «An improved way to characterize internet users». Journal of Advertising Research, 42(5), pp. 85-95.
  • ROTHSCHILD, M.L. (1999): «Carrots, sticks, and promises: A conceptual framework for the management of public health and social issue behaviors». Journal of Marketing, 63(4), pp. 24-37.
  • SANDULLI, F., MINGUELA, B., RODRÍGUEZ, A. y LÓPEZ, J.I. (2005): «El comercio electrónico en España: Un análisis de compra de empresas españolas». XV Congreso ACEDE, Septiembre, La Laguna, Canarias.
  • SIEMSEN, E., ROTH, A. V. y BALASUBRAMANIAN, S. (2008): «How motivation, opportunity, and ability drive knowledge sharing: The constraining-factor model». Journal of Operations Management, 26(3) pp. 426.
  • STONE, M. (1974): «Cross-validatory choice and assessment of statistical predictions». Journal of the Royal Statistical Society, 36, pp. 111-147.
  • TENENHAUS, M., VINZI, V. E. CHATELIN, Y-M. y LAURO, C. (2005): «PLS Path Modeling». Computational Statistics and Data Analysis. 48(1), pp. 159-205.
  • WANG, Y., YU, Q. y FESENMAIER, D.R. (2002): «Defining the Virtual Tourist Community: Implications for Tourism Marketing». Tourism Management, 23 (4), pp. 407-17.
  • WANG, Y. y FESENMAIER, D.R. (2004a): «Modeling Participation in an Online Travel Community». Journal of Travel Research, 42, pp. 261-270.
  • WANG, Y. y FESENMAIER, D.R. (2004b): «Towards understanding members› general participation in an active contribution to an online travel community». Tourism Management, 25(6), pp. 709-722.
  • WETZELS, M., ODEKERKEN-SCHRÖDER, G. y VAN OPPEN, C. (2009): «Using PLS path modelling for assessing hierarchical construct models: Guidelines and empirical illustration». MIS Quarterly, 33(1), pp. 177-195.
  • WOLD, H. (1979): «Model construction and evaluation when theoretical knowledge is scarce: An example of the use of partial least squares». Genève: Cahiers du Département d’Économétrie, Faculté des Sciences Économiques et Sociales, Université de Genève.
  • YOO, K.H. y GRETZEL, A. (2008): «The influence of perceived credibility on preferences for recommender systems as sources of advice». Journal of Information Technology & Tourism, 10(2), pp. 133-146.